Podcasts about google earth engine

Strategic use of solar arrays could provide financial boost, help farmers continue producing crops and even save water As farmers debate whether fields should be used for agriculture or solar panels, new research from Michigan State University says the answer could be both. Jake Stid, a graduate student in the College of Natural Science Hydrogeology Lab, analyzed remote sensing and aerial imagery to study how fields have been used in California for the last 25 years. Using databases to estimate revenues and costs, Stid found that farmers who used a small percentage of their land for solar arrays were more financially secure per acre than those who didn't. Crops or solar? His research, now published in Nature Sustainability, could provide a new roadmap to solvency for farmers struggling to pay the bills. Instead of converting entire fields to solar arrays, Stid hopes this research will help more farmers decide to keep producing crops by strategically placing arrays on lower-yield spots in their fields. "The conversation shouldn't be as much about solar or agriculture, but solar and agriculture," Stid said. "They can work together, and it can be a collaboration rather than a conflict." Stid's work with solar panels began when he joined the lab of Anthony Kendall, an MSU assistant professor who's also a co-author on the paper. Kendall saw Stid working with Google Earth Engine, a public satellite-image database and cloud computing tool. A casual suggestion that Stid try to pinpoint solar panels on the landscape sparked his curiosity. He narrowed his focus to the California region for multiple reasons. The state boasts some of the most valuable and productive agricultural land in the United States, and it's a nationwide leader in solar energy production and installation. As increasingly extreme weather threatens food, energy and water resources, new energy sources have emerged, such as solar, to help decrease carbon emissions. The solar boom has led to concerns of reduced food production, especially as an expanding population and growing consumption place a greater strain on agriculture. Because of these competing interests, some farmers have turned to what's called a colocation method: purposefully installing solar arrays alongside crops to maximize the landscape's production. Stid wanted to find out how these colocated installations affected a farmer's bottom line and how that compared to conventional solar arrays where entire fields are turned into solar farms versus farms that continue to grow crops with no solar. "We're taking a balanced approach to not just focus on the negatives or the positives, but to take them both together to look more deeply at what people are actually doing on the landscape," Stid said. "We're asking what it means and how we can better plan for the future." The team used the solar panel footprint in California previously published by Stid in 2022. From there, they used available data sets to calculate that 86,000 people could have been fed by what's now solar-occupied land. Then, they used crop cost studies from the University of California-Davis, U.S. annual crop prices, the California Water Rights Fee and other data to calculate the average farmer's costs and revenue. They modeled solar electricity production from each installation to estimate how much of a farmer's costs could be offset by selling energy back to the grid. The results confirmed their hypothesis - farmers who used a few acres of land for solar arrays had more financial stability than those who took an all-or-nothing approach to solar. They spent less on fertilizer, water and farming supplies, and the income from selling energy from their solar arrays made up for the decrease in crops produced. They were even likely to save water by offsetting irrigation, which could benefit the water-stressed region. "If I'm a farmer, these two acres of solar arrays are going to pay me a certain amount of money throughout the year," Stid said. "I d...

New, democratized access to powerful analytical and mapping tools is transforming our understanding of the natural world – and with it, our ability to meaningfully conserve, protect and restore our collective home – the biosphere. In this program, we explore the boundless possibilities of digital maps and platforms with Rebecca Moore, visionary founder of Google Earth Outreach and Google Earth Engine. This is an episode of the Bioneers: Revolution from the Heart of Nature series. Visit the radio and podcast homepage to learn more.

This month GeOCHemISTea talks with Oscar Benavente, an environmental geochemist at SRK Consulting, about using satellite imagery to monitor mine drainage and environmental change. They dive into how Google Earth Engine, Python, and machine learning are transforming geochemical monitoring—mapping water bodies, tracking sulfide oxidation, and improving mine site remediation.Oscar shares insights from his career spanning geothermal exploration, environmental geochemistry, and consulting. They also discuss the importance of fieldwork, communicating complex science effectively, and the surprising connections between planetary and mining geochemistry.Tune in for a lively conversation filled with geochemistry, remote sensing, and some unexpected tangents—including volcanic adventures, music, and the tight-knit world of geochemists.For this episode we read:Monitoring of mine drainage related processes through satellite imagery - Dynamic Mapping of Sulfide Oxidation (Benavente, 2024)Dynamic Mapping of Water Bodies using Google Earth Engine (Benavente, 2024)

Qiusheng Wu is an Associate Professor in Geography, an active open source contributor behind projects like geemap, leafmap or segment-geospatial also sharing tutorials on his popular Youtube channel. Qiusheng has a desire to teach, share and lower the barrier to entry to geospatial, all things I'm always curious to talk more aboutSponsor: OpenCageUse OpenCage for your geocoding needs with their APIGeomobAbout QiushengTwitterLinkedInShownotesNote: Links to books are Amazon Affiliate links. I earn a small commission if you buy any of these books.KaggleGoogle Earth EngineQiusheng's Youtube channelQiusheng's GithubBook & Podcast recommendationGeospatial Data Analytics on AWS (Affiliate Link)MapscapingTimestamps(00:00) - Introduction (00:35) - Sponsor: OpenCage (02:01) - How would you describe yourself (03:47) - Developing Open Source Software (06:46) - Lowering the barrier to entry (10:39) - Quisheng's story (18:39) - Getting Involved in open source (22:16) - Google Earth Engine (25:48) - Skepticism around closed platforms (32:31) - Teaching Skepticism (34:16) - Is open source free lunch? (36:51) - Why create tutorials? (41:35) - Video over any other format (45:42) - Pushing students to market their projects (48:52) - Teaching in multiple languages (53:18) - YouTube analytics (55:35) - Book/Podcast RecommendationSupport the podcast on PatreonMy TwitterPodcast TwitterRead Previous Issues of the NewsletterEdited by Peter XiongFind more of his work

New, democratized access to powerful analytical and mapping tools is transforming our understanding of the natural world – and with it, our ability to meaningfully conserve, protect and restore our collective home – the biosphere. In this program, we explore the boundless possibilities of digital maps and platforms with Rebecca Moore, visionary founder of Google Earth Outreach and Google Earth Engine. This is an episode of the Bioneers: Revolution from the Heart of Nature series. Visit the radio and podcast homepage to learn more.

Brian McClendon was one of the earliest investors & later VP of Engineering at Keyhole, which got acquired by Google in 2004. Brian become VP of Engineering and led Google Geo, overlooking the development of Google Earth & Google Maps. He also worked at Uber & is now at Niantic, which you might know for thri most popular app: Pokemon GoSponsor: OpenCage Use OpenCage for your geocoding needs with their API GeomobAbout BrianLinkedInNianticShownotesNever Lost Again by Bill Kilday (Affiliate Link)Brian's University of Kansas course: “Startups Rasing Money”@Home Network (Wikipedia Page)Keyhole Inc (History of Google Earth Wikipedia)Google EarthI think you can find a link to Google Maps on your own :)Nicaragua border storyBooks & Podcast3 Body Problem by Cixin Liu (Affiliate Link)Marketplace podcastTimestamps (00:00) - Introduction(01:16) - Sponsor: OpenCage(02:42) - Brian describes himself(03:33) - Getting into computer graphics(05:15) - From engineer to building companies(08:06) - The Beginnings of Keyhole(12:42) - EarthViewer demo(14:33) - Going through rough times(21:00) - What made Keyhole so unique(25:56) - How much of Keyhole's work is still in Google Earth?(32:08) - Borders are hard(37:20) - Changing borders(43:15) - Google's rationale for spending so much on mapping(45:37) - Use for Google Maps vs Earth(47:22) - Google Earth Engine(51:16) - Earliest Google Earth Image(52:20) - Working at Uber(57:03) - Self-driving(58:30) - Project Ground Truth(01:04:01) - Where is self-driving today?(01:10:29) - Trains vs Cars(01:14:15) - Niantic(01:17:07) - Future predictions(01:19:28) - Glasses over phones(01:21:05) - The next iPhone moment(01:23:33) - Using Tech to get people outside(01:25:57) - Teaching(01:28:11) - The need for tech companies outside the Bay Area(01:30:21) - Remote work(01:34:59) - Recommendations to students(01:36:10) - Book/Podcast RecommendationsSupport the podcast on PatreonMy video on an introduction to satellite imagesWebsiteMy TwitterPodcast TwitterRead Previous Issues of the NewsletterEdited by Peter XiongFind more of his work

This is an interview with a senior data scientist from Hub Ocean, a platform that aims to unlock and unite ocean data. Hub Ocean - as the name suggests is a hub for ocean data  Now we have talked about these kinds of data hubs before on the podcast - Sentinal Hub - a data hub for earth observation data, Microsoft Planetary Computer, Google Earth Engine, Open Topography is data but for topography data …. The concept is not new but also not easy to implement and if they work, these types of data hubs have a gravity to them that becomes more powerful over time. One of the guiding concepts behind these data hubs seems to be the idea of FAIR data - Findable, Accessible, Interoperable, and Reuseable data   …. But its not enough to ensure that the data is fair I think we should also consider how we can make the results of our research Findable, Accessible, Interoperable, and Reuseable data  If you are not already familiar with Cloud Optimised Geospatial formats it is worth checking out these two episodes.  https://mapscaping.com/podcast/cloud-optimized-point-clouds/ https://mapscaping.com/podcast/cloud-native-geospatial/      

At GEOINT 2023 we met up with Sean Wohltman, Google's Global Head of Cloud Geography, where he sheds light on the transformative power of Google Earth Engine. Join us as Sean explains the crucial role played by Google Earth Engine in the analysis of vast amounts of imagery, amounting to petabytes of data. Discover how this powerful platform serves as a centralized repository, allowing multiple partners to store and reference their data in one place, enabling seamless access and collaboration. Sean also highlights the significant advantages that government partners can leverage through Google Earth Engine, empowering them with advanced capabilities for data analysis and decision-making. For more content like this check out www.projectgeospatial.com #Google #GoogleEarthEngine #CloudGeography #DataAnalysis #GeospatialData #ImageryAnalysis #PetabytesOfData #DataStorage #Collaboration #GovernmentPartners #DataManagement #DecisionMaking #TechnologySolutions #Interview #Innovation #DataAccess #GeospatialIntelligence

Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images.    You might think that this is exactly what we are doing in earth observation but there are a few important differences between computer vision and what some people refer to as GeoAI.   This week Jordi inglada is going to help you understand what those differences are and why it's not always possible to use Computer vision techniques in the field of Remote Sensing.   Listen out for these key points during the conversation! Why plausible or realistic data is not always a substitute for actual measurements, except when it is ;)  In computer vision we can learn from the data, in earth observation we know the physics To do interesting work in data science you need to - Computer science, applied math, and domain expertise. You don't need to be an expert in all three but you need to be interested in all three Vectors in the machine learning world don't necessarily have anything to do with points lines and polygons ;)   Sponsored by Sinergise, as part of Copernicus Data Space Ecosystem knowledge sharing. dataspace.copernicus.eu/ http://dataspace.copernicus.eu/   Related Podcast Episodes   Super Resolution https://mapscaping.com/podcast/super-resolution-smarter-upsampling/ Fake Satellite Imagery https://mapscaping.com/podcast/fake-satellite-imagery/   Sentinal Hub https://mapscaping.com/podcast/sentinel-hub/ Google Earth Engine  https://mapscaping.com/podcast/introducing-google-earth-engine/   Microsofts Planetary Computer  https://mapscaping.com/podcast/the-planetary-computer/   BTW MapScaping has started a Job Board!  it's in the early stages but it's live Jobs - Mapscaping.com        

Wildlife conservation efforts may not be the first thing that comes to mind when one thinks about opportunities to use artificial intelligence and machine learning. But Dave Thau, data and technology lead scientist at the World Wildlife Fund (WWF), can share myriad examples of how these technologies are helping our planet. On this episode, Dave joins Sam and Shervin to discuss WWF's many uses of AI and machine learning. Among them are applications that predict deforestation, analyze images from motion-sensitive cameras to identify species, optimize wildlife patrols to catch poachers, and reduce the illegal wildlife trade online. These conservation efforts are not only supported by nonprofit partners with shared goals but by tech-company partners that are sharing advanced AI technologies. Read the episode transcript here. NEW! For specific takeaways from this episode and guidance on how you can implement them in your own work, download our episode toolkit here. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. Guest bio: Dave Thau is the World Wildlife Fund's data and technology global lead scientist, focusing on applying artificial intelligence in conservation and using technology for long-term impact monitoring. Previously, he worked at Google, where he helped launch Google Earth Engine and managed developer relations. He also helped to develop the Global Forest Watch nature monitoring platform with the World Resources Institute, and the Map of Life species data platform. Thau's work in data management, sustainability, AI, and remote sensing has been published in several journals. He is also a member of the Knowledge and Data Task Force for the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. Thau has a doctorate in computer science from the University of California, Davis. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials. We want to know how you feel about Me, Myself, and AI. Please take a short, two-question survey.

On this episode of Through the Human Geography Lens, hosts Terri Ryan and Gwyneth Holt talk with Dr. Michael Humber, Associate Research Professor at the University of Maryland's Department of Geographical Sciences, about his role as data lead within NASA's Harvest Portal. 00:55 What is NASA's HARVEST Portal? - https://harvestportal.org/ 02:20 What is GEOGLAM? Is it related to the NASA HARVEST Portal? - G20 https://www.g20.org/en/about-g20/#members - Group on Earth Observations https://www.earthobservations.org/index.php - GEOGLAM https://earthobservations.org/geoglam.php - Food price spike in 2008 https://www.oaklandinstitute.org/high-food-price-crisis - And in 2011 https://www.ers.usda.gov/amber-waves/2011/september/commodity-price-spike/ - Agricultural Market Information System (AMIS) https://www.amis-outlook.org// - AMIS Market Monitor http://www.amis-outlook.org/amis-monitoring#.Y93Rl-zMJfE - Crop Monitor https://cropmonitor.org/ - FEWSNet https://fews.net/ 06:50 Any recent insights, especially around Ukraine? - Potash https://en.wikipedia.org/wiki/Potash - Potash market spike after the start of the Ukraine war https://ycharts.com/indicators/potassium_chloride_muriate_of_potash_spot_price 11:00 Any surprises in the agricultural patterns you're following? - Current material sanctions list https://home.treasury.gov/policy-issues/financial-sanctions/sanctions-programs-and-country-information/ukraine-russia-related-sanctions 13:00 Assessing downstream aspects of the war in Ukraine, coupled with climate change and COVID - Macroeconomics https://www.khanacademy.org/economics-finance-domain/macroeconomics 16:45 What are the biggest data gaps you're seeing now? (1) Field data measurements - Global map and indicators of food system sustainability https://www.nature.com/articles/s41597-019-0301-5 (2) Data from the grain trade – the transport and storage of grain https://cee.illinois.edu/news/first-map-americas-food-supply-chain-mind-boggling and https://www.ams.usda.gov/services/transportation-analysis/gtr-datasets 1 9:45 New data resources you're excited about? - MODIS https://modis.gsfc.nasa.gov/data/ - LANDSAT https://landsat.gsfc.nasa.gov/ - Wildfire imagery https://firms.modaps.eosdis.nasa.gov/map/#d:24hrs;@0.0,0.0,3z - LIDAR https://www.youtube.com/watch?v=iuTm1jJy2XY - Global Ecosystem Dynamics Investigation (global biomass) https://gedi.umd.edu/ - Google Earth Engine https://earthengine.google.com/ - Natural Language Processing Workflow in Geospatial Sciences https://www.researchgate.net/publication/356010869_Natural_Language_Processing_in_GIScience_Applications - Crop Explorers USDA/FAS https://ipad.fas.usda.gov/cropexplorer/ - Hunger Map Live (WFP) https://hungermap.wfp.org/ === Disclaimer: Opinions expressed on this podcast do not necessarily reflect the views of the WWHGD sponsors and should not be construed as an endorsement. --- Send in a voice message: https://anchor.fm/wwhgd-support/message

This episode features Dr. Lujia Feng, a Principal Research fellow at the Earth Observatory of Singapore, Nanyang Technological University, Singapore. She  is a geodesist who is trained as a geologist and geophysicist and now explores the atmosphere. In her research, Dr. Feng uses GNSS to study natural hazards related to tectonics, earthquakes, volcanoes and climate. Listen in as Dr. Gopika Suresh talks to Dr. Lujia Feng about Southeast Asia, seismology, atmospheric water vapour from GNSS, challenges of being an immigrant and how diverse voices bring diverse perspectives to remote sensing.  Dr. Lujia Feng: EOS page https://earthobservatory.sg/about-us/our-people/feng-lujia Dr. Lujia Feng's Email: lfeng@ntu.edu.sg  -------- Show notes: Research paper about Earthquake in Costa Rica:  The paper before the earthquake:  Feng, L., Newman, A. V., Protti, M., González, V., Jiang, Y., & Dixon, T. H. (2012). Active deformation near the Nicoya Peninsula, Northwestern Costa Rica, between 1996 and 2010: Interseismic megathrust coupling. Journal of Geophysical Research: Solid Earth, 117. https://doi.org/10.1029/2012JB009230 https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2012jb009230 A paper describing the story after the earthquake Protti, M., González, V., Newman, A. V., Dixon, T. H., Schwartz, S. Y., Marshall, J. S., et al. (2014). Nicoya earthquake rupture anticipated by geodetic measurement of the locked plate interface. Nature Geoscience, 7(2), 117–121. https://doi.org/10.1038/ngeo2038 https://www.nature.com/articles/ngeo2038 SuGAr Network: https://earthobservatory.sg/research/tectonics/geodesy-group/sumatran-tectonic-geodesy-sugar- Exploring the Application of GPS for Climate Research https://earthobservatory.sg/news/blog/exploring-the-application-of-gps-for-climate-research Dr. Feng's role model: Prof. Kristine M. Larson (https://www.kristinelarson.net/) What is GPS? https://earthobservatory.sg/earth-science-education/earth-science-faqs/miscellaneous/what-is-gps What are the uses of GPS? https://earthobservatory.sg/earth-science-education/earth-science-faqs/miscellaneous/what-are-the-uses-of-gps Earth Science FAQs - Geology and Tectonics https://earthobservatory.sg/earth-science-education/earth-science-faqs/geology-and-tectonics Hosts: Dr. Flavia de Souza Mendes https://twitter.com/flasmendes Dr. Gopika Suresh https://twitter.com/Go__pika Dr. Morgan Crowley https://twitter.com/morganahcrowley News correspondent: Rafaela Tiengo https://twitter.com/RafaelaTiengo_ Rafaela's newsletter: https://www.getrevue.co/profile/rafaelatiengo   Season 13 of Scene from Above is brought to you by Geoawesomeness and UP42. Be sure to check out the EO Hub article by Aleks Buczkowski: ‘https://geoawesomeness.com/eo-hub/understanding-the-earth-observation-value-chain/'   Our next speaker: They are a self-employed Earth observation expert, They are a long-time user of Google Earth Engine, They cofounded Women+ in Geospatial.    

Hamed Alemohammad was the previous Executive Director of the Radiant Earth Foundation, a Non-Profit focused on building open machine learning tools & datasets for satellite imagery through projects like the ML Hub & STAC, Spatio Temporal Asset Catalog. --- Episode Sponsor: OpenCageUse OpenCage for your geocoding needs with their API. They have a generous Free trial you can sign up to! ---About Hamed - Twitter- LinkedInShownotesLandCoverNetPaperML Hub datasetsRadiant Earth FoundationData DrivenClark names inaugural director of Clark Labs: Center for Geospatial AnalyticsBook RecommendationAtomic Habits by James ClearTimestamps 00:00 Introduction 03:01 Hamed's Interest for Earth Observation 08:53 Joining the Radiant Earth Foundation 10:25 What is the Radiant Earth Foundation? 12:14 Why a Non-Profit? 15:34 Finances & Incentives: Where does the money come from? 19:10 Choosing to focus on Machine Learning; ML Hub 26:43 Capacity & Community Building 30:42 Only a 10 people team 34:44 Comparing to Google Earth Engine, AWS & Microsoft Planetary Computer 41:01 Making Decisions & Measuring Progress in a Non-Profit 44:12 Machine Learning Competitions & Kaggle 48:22 Challenges of Working with External Organizations 51:19 Building Models is Sexy but only a small part of Machine Learning 55:55 Who is the ML Hub build for? 57:59 From Researcher to Executive Director 01:01:37 What does being on the Board of Directors Mean? 01:06:18 Hamed's Journey from Iran to working in the US 01:11:03 Advice for people outside the US & Europe 01:15:46 The limitations of English for a truly worldwide reachFeel free to reach out! - Website- My Twitter- Podcast Twitter- Read Previous Issues of the Newsletter- Edited by Peter Xiong. Find more of his work

Neste episódio 141, nós conversamos sobre nossas participações no 5º Congresso Brasileiro de Geotecnologias para o Meio Ambiente, o CBGEO 2022. Eu fechei o primeiro dia de palestras falando sobre “os desafios para atuação dos Profissionais na Área de Sensoriamento Remoto para Meio Ambiente” e Gustavo Ferreira palestrou no segundo dia do evento abordando “Python e Google Earth Engine no Processamento Digital de Imagens de Satélite”. Vale a pena conferir o episódio. Aproveitamos para te convidar para assistir a masterclass Correção Atmosférica de dados AMAZONIA 1 e CBERS4A. É só você acessar o site https://profgustavobaptista.com.br/correcao, cadastrar seu melhor email, separar uns 40 minutos, anotar o passo a passo e aplicar em seus dados. Esse é um processamento que muitos de nossa audiência vinham cobrando e resolvemos criar essa solução. Afinal, Sensoriamento Remoto é um mundo fascinante! Um grande abraço!

Neste episódio 140, nós apresentamos o novo sistema de processamento digital de grandes volumes de dados em nuvem, o Planetary Computer, desenvolvido pela Microsoft e um concorrente a altura do Google Earth Engine. Um sistema que tende a simplificar ainda mais para o usuário, conta com uma possibilidade fantástica de utilização de interface gráfica do QGIS, como uma das possibilidades dentro do hub de processamento. Aproveite e se inscreva para ter acesso a esse novo sistema de cloud computing e big data. https://planetarycomputer.microsoft.com/ Aproveitamos para te convidar para assistir a masterclass Correção Atmosférica de dados AMAZONIA 1 e CBERS4A. É só você acessar o site https://profgustavobaptista.com.br/correcao, cadastrar seu melhor email, separar uns 40 minutos, anotar o passo a passo e aplicar em seus dados. Esse é um processamento que muitos de nossa audiência vinham cobrando e resolvemos criar essa solução. Afinal, Sensoriamento Remoto é um mundo fascinante! Um grande abraço!

Neste episódio 138, nós conversamos sobre processamento digital de grandes volumes de dados em nuvem, por meio do Google Earth Engine, aproveitando o lançamento do novo módulo do Curso PDI com Python, Py + GEE. Nele utilizamos a API em Python do GEE para realizar alguns processamentos mais demandados no dia a dia. Aproveitamos para te convidar para assistir a masterclass Correção Atmosférica de dados AMAZONIA 1 e CBERS4A. É só você acessar o site https://profgustavobaptista.com.br/correcao, cadastrar seu melhor email, separar uns 40 minutos, anotar o passo a passo e aplicar em seus dados. Esse é um processamento que muitos de nossa audiência vinham cobrando e resolvemos criar essa solução. Afinal, Sensoriamento Remoto é um mundo fascinante! Um grande abraço!

Sentinel Hub makes satellite data easily accessible for you to be browsed or analyzed within your own environment. Imagine something between The Microsoft Planetry Computer and Google Earth Engine and you are probably thinking about Sentinel Hub! https://www.sentinel-hub.com/  https://www.sentinel-hub.com/explore/eobrowser/   Sponsored By Lightbox https://www.lightboxre.com/   Consider supporting this podcast on Patreon  https://www.patreon.com/MapScaping?   Or go to MapScaping.com to find out about sponsoring our website reach out on Twitter https://twitter.com/MapScaping or LinkedIn https://www.linkedin.com/in/danielodonohue/    Recommended Podcast Episodes   Cloud-Native Geospatial https://mapscaping.com/podcast/cloud-native-geospatial/   Introduction To Google Earth Engine https://mapscaping.com/podcast/introducing-google-earth-engine/   The Planetary Computer https://mapscaping.com/podcast/the-planetary-computer/      

Google will offer commercial service for its Google Earth Engine, a new McKinsey survey finds 58% if US workers have the option to work remotely at least one day a week, and Airbnb makes its party ban permanent. MP3 Please SUBSCRIBE HERE. You can get an ad-free feed of Daily Tech Headlines for $3 aContinue reading "Google Announces Commercial Service for Google Earth Engine – DTH"

Nesse episódio 128, vamos falar sobre a iniciativa do MapBiomas de criar um app no Google Earth Engine que compartilhou imagens de satélites de alta e altíssima resoluções espaciais, tanto ópticas como de radar, no apoio às buscas pelo indigenista Bruno Pereira e o jornalista Dom Philips, assassinados na região de Atalaia do Norte, na Terra Indígena do Vale do Javari - AM. Como Gustavo Ferreira já trabalhou muito com dados SkySat e Capella Satellites e eu, Prof. Gustavo Baptista, já trabalhei bastante com os dados da constelação Planet Scope e Sentinel 2, conversamos sobre a potencialidades desse tipo de dados para tal finalidade e abordamos limitações impostas pela região, bem como pelos próprios sistemas sensores. Externalizamos nossa solidariedade aos familiares de Bruno e Dom e nossa revolta com toda a situação de inação por parte do governo federal nesse crime brutal. Esperamos que nossa discussão desperte nos ouvintes a importância da compreensão dos diversos sistemas sensores para que possam ser utilizados de forma eficiente no monitoramento emergencial de áreas de tão difícil acesso como a TI Vale do Javari. Esperamos que você goste do episódio.

We talk about Google Earth Engine and Microsoft's Planetary Computer. In the news we mention GOES, Pelican and Worldcover. Amongst other things. If you have questions, comments or corrections then you can contact Alastair (@ajggeoger) and Andrew (@map_andrew) on Twitter using #scenefromabove or @eoscenefrom Shownotes: Worldcover 2021 is coming Global building footprint database  GOES-18 launched in March Pelican Geomob podcast - whats new in EO? Landsat Next is going to have all the bands! Geo for Good 2022 apply now (before 13th June for in person) Dames of Drones  Women of Waveforms  Google Earth Engine   Planetary Computer  

Google's services helps governments and companies build a more prosperous and sustainable future for their organization with a comprehensive platform for geospatial workloads and applications that only Google can deliver. Jeff Spugnardi and Brady Allred, with Google, walk us through and discuss their Google Earth Engine analytic tool. They explained the expansion of the tool from humanitarian use cases to now enterprise use cases as well. With over 50 petabytes worth of imagery, Earth Engine tries to reduce the time collecting data and allow analysts to spend more time finding the answers they're looking for. Watch or listen to more episodes by Project Geospatial at www.projectgeospatial.com --- Support this podcast: https://anchor.fm/projectgeo/support

This week, Googler Denise Pearl and NGIS Executive Director Nathan Eaton join hosts Alexandrina Garcia-Verdin and Donna Schut to talk about how modern technology and data collection can significantly enhance environmental protection practices. Denise starts the show with a thorough explanation of geo-spatial awakening and how Google is making its backend geo services like Google Earth Engine more usable for Google Cloud customers. With better data, easier access, and substantially more cloud compute power, companies are awakening to the possibilities of geo-spatial driven projects that analyze not just text but photographic data as well. Thousands of satellites collect information about Earth every day, and companies are realizing just how much of this data is available for their own sustainability, geo-centric, and location-based projects. Geo-spatial, Nathan explains, can help combine layers of text and photo data based on one location for a richer, more robust view of a particular location in real time. As a geo-spatial partner with Google for a decade, NGIS has had experience using Earth Engine, Google Maps, and more to help Google Cloud customers use this data in meaningful ways. Because most projects involve analyzing locations as they change over time, companies need massive storage and processing power for their data. This is only made possible with the recent advances in infrastructure afforded by the cloud. With these amazing advances in technology, Denise and Nathan are seeing more and more exciting use cases. Companies are taking this data and making meaningful decisions for their future and the future of the planet. Sustainability goals like limiting deforestation in the supply chain can be made and measured. Climate change models can be created and applied. And all of this can be done quickly. Nathan and Denise talk about TraceMark, the sustainable sourcing solution built by NGIS and made to integrate flexibly with customer projects. Consumers are increasingly aware of their affect on the environment and are pushing for change. With TraceMark, companies are able to see the environmental impact of their supply chain partners and make changes in line with customer values. These decisions can influence the growth of the company as well, as suppliers are vetted and chosen based on sustainability and availability. We hear about the building of TraceMark and the challenges the team overcame. Denise runs through some features of the software and how users can take advantage of them. Our guests give some great tips for organizations to get started with their data-driven sustainability goals, and Nathan talks about what's next with NGIS and TraceMark. Nathan Eaton As Executive Director at NGIS, Nathan has worked with hundreds of clients to deliver fit for purpose, innovative solutions. Nathan leads our GIS capabilities and stakeholder management including consulting with a range of large multinational companies and federal government departments. Most recently, Nathan has led the development, build and launch of TraceMark, a SaaS sustainable sourcing solution from NGIS, Google Cloud and partners Planet and CARTO. Denise Pearl Denise Pearl leads strategic ISV efforts for Google Cloud's Geospatial, Earth Observation and Sustainability vertical. Her primary focus is to align engineering, marketing and sales teams within Google around the issues that matter to enterprise customers and government agencies enabling the use of technology to better solve sustainability challenges communities face across the globe. Cool things of the week Planet and People AI Series videos Planet and People AI: Mapping carbon pollution globally with satellites video Geobeam site Interview GCP Podcast Episode 282: Geospatial Cloud and Earth Engine with Chad Jennings and Joel Conkling podcast Google Earth Engine site NGIS site NGIS and TraceMark site TraceMark site EO Data Science site EO Data Science GEE Impact site The technology and climate science helping CPG brands with sustainable sourcing blog Adopting real-world sustainability solutions with Google Cloud's ecosystem blog Achieve Your Sustainability Goals with the Google Cloud Ecosystem site The data-driven path to real-world sustainability solutions whitepaper It takes an ecosystem: How the Google Cloud Partner Initiative speeds the transition to enterprise sustainability article Google Cloud Sustainability Summit site BigQuery site What's something cool you're working on? Dana is focusing on geo-spatial analytics, helping customers achieve their sustainability goals. She's building solutions that solve repeatable problems. AGV is getting ready for the Cloud Sustainability Summit on June 28th. Hosts Alexandrina Garcia-Verdin and Donna Schut

Neste episódio 119, Gustavo Ferreira e eu conversamos com Christhian Cunha da Scripts Remote sobre o seu trabalho de divulgação do Google Earth Engine. Saliento que no episódio 20 eu fiz uma apresentação sobre o GEE e que vale a pena também conferir. Além, é claro, do trabalho que o Christhian vem desenvolvendo. Esperamos que goste do episódio! Um grande abraço!

The link between geospatial, journalism, and open-source intelligence   Michael Cruickshank  https://twitter.com/MJ_Cruickshank https://www.michaelcruickshank.me/   If you are interested in Google Earth Engine check out the episode https://mapscaping.com/podcast/introducing-google-earth-engine/     Some interesting reading https://www.bellingcat.com/ https://actualcontrol.substack.com/   https://www.washington.edu/news/2021/04/21/a-growing-problem-of-deepfake-geography-how-ai-falsifies-satellite-images/   It's a faaaake… — Or not?. When is a satellite image fake? Are… | by Pierre Markuse | Sentinel Hub Blog | Medium   Why Newsrooms need People with Expertise in Remote Sensing | by Pierre Markuse | Sentinel Hub Blog | Medium

Dr Beth Tellman is the Chief Science Officer at Cloud2Street, a company focused on flood monitoring using mostly satellite imagery. They recently published their “Global Flood Database” - featured in Nature  - containing 15 years of data on 913 floods with human settlement maps across 169 countries.In this episode we talk about Beth's journey to starting Cloud2Street, what being a scientists means to her, as well as what the impact of the Global Flood Database has been. We talk on what one needs to do to actually have an impact; the role data science modelling but also insurance both have and how they work hand in hand. We touch on the open-science approach Cloud2Street is taking, all the while being a privately held for-profit company.---Find previous episodes and other show notes at mindsbehindmaps.comIf you'd like to help me out, please consider leaving a review directly on the website, or on Apple Podcast.---About Beth:TwitterLinkedInCloud2StreetTime stamps3:27 - Conversation begins, Beth presents herself7:55 - Why be a scientist?10:57 - Cloud2Street12:19 - Building a company as a scientist16:37 - Global Flood Database20:41 - Impact doesn't only come from better algorithms24:12 - Impact of publishing the Global Flood Database28:37 - Creating the Database33:30 - Why insurance is important39:58 - Making sure Data & Maps are actually useful45:21 - How accurate does it need to be to solve the problem?50:07 - Finding the right metric54:42 - Cloud2Street's Business Model1:03:48 - Open Science in a private company1:13:33 - Using / Finding the best data for the job1:20:39 - Communicating limitations1:24:02 - Book recommendationsShownotes:Global Flood DatabaseARC: African Risk CapacityIEEE Podcast episode with Beth: Down to Earth S2:EP2Media recommendations:Capital in the Twenty-First Century by Thomas PikettySeeing Like a State: How Certain Schemes to Improve the Human Condition Have Failed by James C. ScottWinners Take All: The Elite Charade of Changing the World by Anand GiridharadasThis Changes Everything: Capitalism vs. The Climate by Naomi KleinPlease feel free to reach out!My TwitterFor news about the podcastWebsite

No universo da nuvem do Google Cloud, o Next '21 é um evento sobre a perspectiva dos nossos especialistas para os próximos anos, incluindo o lançamento de inovações tecnológicas. Nosso evento anual aconteceu entre os dias 12 a 14 de outubro de 2021, mas ainda temos muito a discutir sobre as principais soluções anunciadas. Nesta edição especial do Google Cloud Cast, Daniel Leite, Executivo de Vendas do Google Cloud, e Marcelo Gomes, especialista em Modernização de Infraestrutura do Google Cloud, recebem Giovane Moura Jr., Especialista em Nuvem Híbrida do Google Cloud, e Ricardo Geh, Especialista em Analytics do Google Cloud, para discutirem suas perspectivas sobre algumas das principais soluções anunciadas no Next de 2021. O Google Cloud Cast é o podcast oficial do Google Cloud no Brasil, no qual discutimos quinzenalmente temas como transformação digital, inovação e a jornada para a nuvem com a participação de executivos, especialistas e convidados especiais. Confira os links deste episódio: Saiba mais sobre o Google Cloud Next '21: http://cloud.google.com/next Conheça o Google Distributed Cloud: https://cloud.withgoogle.com/next/catalog?session=SPTL101#featured Conheça o Google Cybersecurity Action Team: https://cloud.withgoogle.com/next/catalog?session=PAR119#featured Conheça o Carbon Footprint Reporting: https://cloud.withgoogle.com/next/catalog?session=INF207#featured Conheça o Google Earth Engine: https://cloud.withgoogle.com/next/catalog?session=LIVED2#featured Saiba mais sobre a parceria entre o Google Cloud e a SAP: https://cloud.withgoogle.com/next/catalog?session=PAR108#featured Conheça o BigQuery Omni: https://cloud.withgoogle.com/next/catalog?session=DA206#featured Gostou do episódio ou tem alguma sugestão? Compartilha conosco por e-mail em googlecloudcast@google.com

Tyler Erickson is a Developer Advocate at Google, more specifically working on Google Earth Engine - a platform providing access to many different Earth Observation datasets merged together - allowing users to focus more time on building their solutions.We talk about the importance of curiosity across fields to foster innovation, go behind the scenes of Google Earth Engine, and explore OpenET, an application Tyler has worked on that leverages Earth Engine. About Tyler:LinkedInTwitterShownotes:Range by David EpsteinAmerican Geophysical UnionRebecca MooreGoogle Earth EngineNASA Processing LevelsOpenETBook & Media recommendations:Bicycle Diaries by David Byrnebikepacking.comJupyter BookFastPagesThe Evolution of Trust by Nicky Case Time stamps:03:10 - Conversation starts, Tyler introduces himself8:45 - Generalists or Specialists13:30 - Fostering innovations & ideas across fields18:45 - Incentivizing sharing in research21:45 - Reproduce & Replicate30:00 - Tyler's work: Developer Advocate at Google Earth Engine34:20 - A Short History of Google Earth Engine40:40 - Why did people use it?45:00 - Behind the scenes: Python & JavaScript52:20 - Opinionated Data Processing59:50 - Working with a community1:03:30 - Commercial partnerships1:18:00 - OpenET1:27:10 - Building a solution that solves specific problems1:33:45 -Benefits & Drawbacks of Story Telling1:42:00 - Book & Media Recommendations Please feel free to reach out!My TwitterFor news about the podcastReach out by email: minds.behind.maps@gmail.com

Microsoft is building a Planetary Computer. The Planetary Computer combines a multi-petabyte catalog of global environmental data with intuitive APIs, a flexible scientific environment that allows users to answer global questions about that data, and applications that put those answers in the hands of conservation stakeholders. https://planetarycomputer.microsoft.com/   For a podcast episode about Google Earth Engine just have a look back through the podcast archive of click this link https://mapscaping.com/blogs/the-mapscaping-podcast/introducing-google-earth-engine     Remember to Subscribe :)  and Share this podcast with a friend! Learn more at https://mapscaping.com Happy to connect with you on LinkedIn https://www.linkedin.com/in/danielodonohue/ Or Twitter https://twitter.com/MapScaping    

Possibilidades, agilidade e facilidades tudo em uma única plataforma de processamento de imagens. Claro que estamos falando do Google Earth Engine (GEE), ferramenta online que gera resultados surpreendentes sem você ter que baixar nenhuma imagem para sua máquina e levar horas processando. Christian Santana Cunha, criador da @scriptsremote e expert em GEE, explica de maneira simples as possibilidades desta ferramenta e conta um pouco de sua trajetória profissional e acadêmica. Canal do Christian no YouTube: https://www.youtube.com/channel/UCIZMi4U3OfJIMoywVeQ61Mg Conheça a Scripts Remote: https://linktr.ee/scriptsremotesensing Este podcast é patrocinado pela QUIRON DIGITAL www.quiron.digital @quiron.digital Faça um pix e apoie o canal: umpapogeo@gmail.com #Google #SensoriamentoRemoto #GoogleEarthEngine #PDI

Three Google Earth Education Experts, Google Innovators, and Trainers—Jeffery Heil, Jesse Lubinsky, and Donnie Piercey—join me to discuss different tools and features for exposing students to different geographical areas. The guys from the Partial Credit podcast tell us about Google Earth, Google Earth Voyages, Google Earth Engine, and more! Show notes also available at jakemiller.net/eduducttape-episode-66 A Book for a Friend Contest! Submit your book endorsement on Flipgrid or Speakpipe! FlipGrid.com/EduDuctTape Speakpipe.com/EduDuctTape Soapbox Moment: The Zappos EdTech Tool Mindset Barry Schwartz: “All of this choice . . . produces paralysis, rather than liberation. With so many options to choose from, people find it very difficult to choose at all.” Barry Schwartz: “Increased choice decreases satisfaction with matters as trivial as ice cream flavors and as significant as jobs. It [increased choice] requires increased time and effort and can lead  to anxiety, regret, excessively high expectations, and self-blame if the choices don't work out.” Jam study by psychologists Sheena Iyengar and Mark Lepper Barry Schwartz -  “More Isn't Always Better” - hbr.org/2006/06/more-isnt-always-better Barry Schwartz -  “The Paradox of Choice” - ted.com/talks/barry_schwartz_the_paradox_of_choice Today's Guests: Jesse Lubinsky  (@jlubinsky) - Jesse Lubinsky is currently the Chief Learning Officer of Ready Learner One LLC and has nearly 20 years of public school experience as a teacher and administrator. He is co-author of “Reality Bytes: Innovative Learning Using Augmented and Virtual Reality” (January 2020) and "The Esports Education Playbook: Empowering Every Learner Through Inclusive Gaming" (November 2020). He is also co-host of the Partial Credit Podcast and the Ready Learner One Lounge, a virtual reality show focused on innovations in teaching and learning. He is a Google Certified Innovator and Trainer,  a CoSN Certified Education Technology Leader, an Adjunct Professor of Education Technology at Pace University, a member of the Google Earth Education Experts team, and a frequent keynote speaker and presenter who has recently done educational technology presentations across North America, Europe, Asia, the Middle East, and Australia. Jeffery Heil  (@jheil65) - Jeffery has been an educator for 25 years. He has served as a classroom teacher, an instructional technology coach, an adjunct professor of education, and a Google in Education Trainer and Innovator. In this time he has continued to be an advocate for all students, especially those traditionally underserved by the U.S. educational institution.  He sees relationships as the core of education and strives to show all educators meaningful ways to incorporate technology into their curriculum to amplify student learning while not losing sight of the importance of seeing each student as a unique and important member of a classroom or school. Donnie Piercy (@mrpiercEy) - The 2021 Kentucky Teacher of the Year, Donnie teaches fifth grade Lexington, Kentucky. After graduating from Asbury College and earning his master's from Auburn, he has been teaching since 2007. Donnie specializes in using technology to promote student inquiry, learning, and engagement. Over the past fourteen years of teaching, these interests have given him the unique chance to represent Kentucky around the world. Donnie was the recipient of a National Geographic Grosvenor Teacher Fellowship to Antarctica, and he also represents Kentucky on the inaugural National Geographic Education Teacher Advisory Council.  He is the North American lead for the Google Earth Education Experts Network. Donnie has been invited to keynote and present at schools in thirty-three states and on four continents. In 2017, he co-authored The Google Cardboard Book: Explore, Engage, and Educate with Virtual Reality based on virtual experiences he created for his students.  The Bluegrass always calls him home, however, as he regularly leads professional development at school districts around the state. Donnie lives in Lexington with his wife and three children. Check out the Partial Credit Podcast at partial.credit The EdTech Newlywed Game - Favorite 80s song (playlist at the bottom of the show notes!) Educational Duct Tape Question: What is the best tool for a teacher to use for exposing students to different geographical areas? Google Earth - earth.google.com Find your house - shows that it's real places Book settings Overlay images Connect with experiences that you have or they have Voyages - Premade content built right in Layers - weather, clouds, glaciers, tropical storms, timelapse Carmen Sandiego - experiments.withgoogle.com/where-on-earth New Google Earth Projects brings in stuff that used to be in Tour Creator, Tour builder, similar to building custom maps in MyMaps Learn how to create your own Google Earth Projects - google.com/earth/outreach/learn/create-a-map-or-story-in-google-earth-web Collaborative Lit Trips - googlelittrips.org Google Maps Street View - google.com/streetview Pegman - Blue lines and dots. Lines are from Google Map Car. Dots are photospheres that are 360 images uploaded by users. Get the Google Street View App Contribute images to Google Maps Donnie #1, Donnie #2, Donnie #3 Create your own 360 images using your smartphone Google Earth Engine earthengine.google.com Change over time Case studies Data sets Learn more about Google Geo Tools for Education at google.com/intl/en_us/earth/education Other Geo Tools Honorable Mentions: Arts and Culture - experiments, especially AR on phone, primary sources Google Maps Lists - mashable.com/article/google-maps-lists MyMaps - Customizable Google Maps - mymaps.google.com Street view treks - google.com/maps/about/treks/#/grid Thetruesize.com Celebration of the Adjacent Possible Kyle Niemis' tweet about bookmarks and tables of contents in Google Docs - twitter.com/KyleNiemis/status/1451561000499560464 Ways to Support the Show or Connect with Jake and other Duct Tapers! Apple Podcast Reviews FlipGrid.com/EduDuctTape password eduducttape Speakpipe.com/EduDuctTape #EduDuctTape on social media Telling your friends and colleagues The Duct Tapers Facebook Group - facebook.com/groups/ducttapers Stickers! Want to pass some out?  Want some for yourself? JakeMiller.net/SendMeStickers The JakeMillerTech Newsletter – Sign up! jakemiller.net/newsletter   Our Favorite 80's Song Playlist Spotify Podcast link - open.spotify.com/playlist/5Zgzwqp6GKl8XgZIOi3Nrj?si=23d2d5d41f9a4fa5 Phil Collins - In the Air Tonight Van Halen - Jump Michael Jackson - Thriller Huey Lewis and The News - The Power of Love The Smiths - How Soon is Now? Dexys Midnight Runners - Come on Eileen Cindy Lauper - Time After Time Duran Duran - Hungry Like the Wolf Tears For Fears - Everyone Wants To Rule The World Huey Lewis and The News - Hip To Be A Square Joe Jackson - Steppin' Out Huey Lewis and The News - The Heart Of Rock And Roll

On the podcast this week, Mark Mirchandani and Carter Morgan host guests Chad Jennings and Joel Conkling in a fascinating discussion about Earth Engine and performing geospatial processing to help companies become more environmentally conscious. Google’s geospatial functionality is some of the most advanced in the world, and with the Next announcements, commercial companies can now take advantage of this with tools like Earth Engine and in Cloud analytics offerings like BigQuery. Together, these tools make the three pillars of geospatial cloud: analysis of vector data with tools like CloudSQL or BigQuery, analysis of image data with Earth Engine, and taking advantage of the data assets. This geospatial analysis helps us understand the world and how it’s changing, then apply this information to make important, environmentally friendly decisions. As a key part of this system, Earth Engine is a geospatial data-processing platform specializing in the analysis of satellite images and other image data. It provides access to over 800 datasets and processing software that scales to planetary-scale analysis. At Next, Google announced Earth Engine availability for commercial use. Our guests talk about the applications of this in the real world, from the effect of climate risk on a financial portfolio to locations most susceptible to forest fire. Chad and Joel tell us about the sources of Earth Engine’s data, the pre-processing work done to the images collected, and the ease of data sharing between platforms. By working with BigQuery, users have access to additional datasets and analytics tools as well. Google clients are taking this data and creatively using the information to make meaningful decisions. Insurance companies, for example, analyze data to assess flood risk, while the U.S. Forest Service uses the platform to advance their mission of sustainable forest management. Unilever uses Earth Engine in their commitment to zero additional deforestation in their supply chain, and our guests talk more about the Next presentation with Unilever. Additional BigQuery announcements at Next can be leveraged in Earth Engine as well, and new features such as Analytics Hub make accessing datasets even easier. Google works to meet users where they are and make tools easy to use from day one. Earth Engine’s data processing, scalability, and more make it easy for users to focus on the analysis rather than the prep work. Our guests offer advice for getting started with Earth Engine and BigQuery and share a little about Climate Engine. Chad Jennings Chad came to Google from the startup world doing big data navigation processing and research. Working at the intersection of geospatial and big data at Google Cloud is a marvelous place to work. Joel Conkling Joel is the Product Manager for both Earth Engine and Environmental Insights Explorer and has worked at Google since 2010. Cool things of the week BigQuery Omni now available for AWS and Azure, for cross cloud data analytics blog How geospatial insights can help meet business goals blog 9 things I freakin' love about Google Cloud identity and environments blog Interview Earth Engine site Earth Engine Development Guides site Big Query site CloudSQL site Climate Engine site Geospatial analytics and AI site Analytics Hub site Monitoring air quality with S5P TROPOMI data blog Visualizing geospatial data with pydeck and Earth Engine blog More accurate and flexible cloud masking for Sentinel-2 images blog NICFI's satellite imagery of the global tropics now available in Earth Engine for analysis blog Earth Engine for Commercial Use: Now in Preview with Google Cloud site Next Session: Geospatial Innovation at Unilever video Next Developer Keynote: technology trends video What is Google Earth Engine? video Helping companies tackle climate change with Earth Engine blog Google has the cleanest cloud. Now it's helping other companies go green article

Mark Mirchandani is back this week with cohost Bukola Ayodele. We’re talking with Eric Schmidt and Bruno Aziza about all the awesome new analytics, data, and AI launches from last week’s Google Cloud Next conference. Our guests start the show outlining the challenges clients face when storing, organizing, and analyzing data in the cloud. These needs have inspired Google solutions that focus on simplifying data management for customers. Next announcements like BigQuery Omni, which helps customers achieve full data visibility with cross-cloud analytics, and DataPlex, which facilitates data management at scale, will change the way companies think about their data. BigQuery integration with AppSheets and the new Cloud Looker LookML let customers build once and access from anywhere. The new Looker and Tableau integration revolutionizes the use of the semantic model in Tableau, allowing things like company-established data governance and the Looker Blocks ecosystem to pull into Tableau analysis. New Looker Blocks specifically targeted to the healthcare industry were also introduced at Next. We talk about the ML announcements including Vertex AI Workbench, a fully-managed service used for data exploration aimed at simplifying the workloads of data engineers. Serverless Spark on Google Cloud shares these goals by making performance tuning, scaling, infrastructure provisioning, and other tasks fully-managed. The new PostgreSQL interface for Spanner lets clients use tools already developed in PostgreSQL while leveraging the global scaling and other benefits of Spanner. Bruno and Eric share some favorite customer stories as we wrap up this week’s episode. Albertson’s, Renault, and others have interesting data journeys on Google Cloud and our listeners can learn more in the YouTube series hosted by Bruno. Eric Schmidt Eric is the the Head of Advocacy for Data Analytics at Google and has been at Google for almost eight years. Previously, he was with Microsoft, where he led Advocacy and Evangelism there, too. He focuses on products like BigQuery, Dataflow, Dataproc and leads a team of advocates who help customers turn data into value. In his downtime, Eric is a DJ at 90.3 KEXP here in Seattle or online at kexp.org where he focuses on global music culture. You can find Eric on Twitter. His handle is “not that eric” - not to be confused with the ‘other Eric Schmidt' here at Google. In fact, internally, people affectionately call him “cloud E”. Bruno Aziza Bruno is the Head of Data & Analytics at Google Cloud. He specializes in everything data, from data analytics, to business intelligence, data science, and artificial intelligence. Before working at Google, he worked at companies like Business Objects when it went IPO and Oracle, where his team led a big turnarounds in the business analytics industry. Bruno also had the opportunity to help launch startups like Alpine Data (now part of Tibco). Sisense and AtScale and helped Microsoft grow its Data unit into a $1B business. He has been educated in the US, France, the UK, and Germany and has written two books on Data Analytics and Performance Management. In his spare time, Bruno writes a monthly column on Forbes.com on everything Data, AI and Analytics. Cool things of the week Next Reaction: Security and zero-trust announcements blog Next Reaction: New Data Cloud launches blog Next Reaction: Making multicloud easier for all blog Next Reaction: Features to reduce IT carbon emissions and build climate-related solutions blog Next Reaction: Monitor your conversations, get started with CCAI Insights blog Interview GCP Podcast Episode 266: Data Analytics Launches with Bruno Aziza and Eric Schmidt podcast BigQuery site Bringing multi-cloud analytics to your data with BigQuery Omni blog Google Cloud Next—Day 1 livestream - WalMart video Dataplex site AppSheet site Cloud Looker LookML site Tableau site Vertex AI site Vertex AI Workbench site TensorFlow site Apache Spark on Google Cloud site New PostgreSQL Interface makes Cloud Spanner's scalability and availability more open and accessible blog PostgreSQL site Cloud Spanner site Google Earth Engine site Google Maps Platform site Inside Industry Data Management 4.0 at Renault site Chess.com site Google Next Opening Keynote site Data Journeys with Bruno Aziza videos Cloud Next Catalog site Bruno’s Cloud Next Playlist videos Cloud Next Data Analytics Playlist videos Bruno on Linkedin site Lak on Twitter site What’s something cool you’re working on? Bukola is working on the Click to Deploy video series.

On the podcast this week, Mark Mirchandani and Stephanie Wong hear all about the cool stuff happening at Cloud Next 2021. Brian Hall and Forrest Brazeal join the show to outline exciting announcements, fun partnerships, and what the future holds for Google Cloud. The immense prep and planning that went into Next shows through in the intentional and unified strategy of announcements and offerings at the conference. Our guests talk about this process and the challenges and decisions that went into the content choices and scheduling. The addition of Community Day, for example, was implemented to create a sense of in-person participation in an online-only event. Next kicked off this week with a Keynote presentation talking about the momentum of production and infrastructure innovation at Google Cloud, new product announcements across data cloud and open cloud infrastructure, security advancements, sustainability, and more. Our guests talk about important partnerships Google Cloud has fostered this year with clients like Ford, Univision, and GE using AI and other technologies to advance innovative ideas in their businesses. Announcements around AI and analytics at Google Cloud were plentiful, including Spark on Google Cloud that offers managed serverless data processing. Brian details the work Tableau and Google Cloud are doing to advance data visualization. Our guests talk about the work Google has done to embrace the multi-cloud culture with advancements in Anthos and BigQuery Omni. The newly announced Google Distributed Cloud lets clients use their multi-cloud infrastructures across edge locations. Forrest talks about the pragmatic evolution to the Google Distributed Cloud offering and how other announcements like security advancements through strategic European partnerships have positively affected multi-cloud customers. We talk more about the importance of the new security announcements, like the Google Cyber Security Action Team. The changing landscape of work brought on by the pandemic has lead to more and more remote work. Workspace is adapting to this new environment, and our guests tell us about the new features available to workers at home. As Google works to revolutionize technologies for clients, they also keep sustainability in mind. Next saw announcements in the clean cloud space and Google’s continued commitment to a carbon-free existence. New carbon reporting for clients and new features in Google Earth Engine and Active Assist help Google clients with their sustainability goals, too. Brian Hall Brian is the VP of Product and Industry Marketing at Google Cloud. He was formerly a VP at AWS, CEO of Doppler Labs, and VP for Microsoft Surface with 20+ years at Microsoft. Forrest Brazeal Forrest is a cloud educator, author, speaker, and Pwnie Award-winning songwriter based in Charlotte, NC. Cool things of the week Cloud Next site Solving for What’s Next blog Training more than 40 million new people on Google Cloud skills blog Interview Cloud Next site Next Catalog site Opening Keynote site Solving for What’s Next blog GKE Autopilot site Workspace site Vertex AI site Apache Spark on Google Cloud site Tableau site Fivetran site HVR site Informatica site Trifacta site Anthos site Bringing multi-cloud analytics to your data with BigQuery Omni blog Google Distributed Cloud site NetApp site T-Systems and Google Cloud Partner to Deliver Sovereign Cloud for Germany press release Thales and Google Cloud Announce Strategic Partnership to Jointly Develop a Trusted Cloud Offering in France press release Google Cybersecurity Action Team site AppSheet site BeyondCorp site Google Earth Engine site Active Assist site Data Cloud Keynote site What’s something cool you’re working on? Stephanie is working on a video series with Eric Brewer.

We have another cracker Location Matters episode this week covering two winning projects from the Group on Earth Observations (GEO) - Google Earth Engine (GEE) program. Our host,  NGIS' Sarah Butler & Yvonne Fong, Data Scientist at EO Data Science, are joined by project leads Nicholas Murray from James Cook University, and Dimos Traganos from the German Aerospace Centre (DLR) to discuss how their projects Remap and Global Seagrass Watch are tackling important environmental challenges using Earth observation data. If you love hearing about cool mapping tools that make a positive impact -  tune in to this episode!   https://newsroom.eodatascience.com/geo-and-google-earth-engine-announcement (Group on Earth Observations and Google Earth Engine program announcement) https://newsroom.eodatascience.com/geo-gee-project-mapping-the-status-of-ecosystems-with-remap (GEO-GEE Project: Mapping the status of ecosystems with Remap) (Nick's project) https://newsroom.eodatascience.com/geo-gee-project-coastal-ecosystems (GEO-GEE Project: Coastal ecosystems  )(Dimos' project) https://remap-app.org/ (Remap)

We talk to Tyler Erickson from Google about Google Earth Engine. In the news we mention launches, the EO clinic and Digital Earth Africa! Amongst other things. If you have questions, comments or corrections then you can contact Alastair (@ajggeoger) and Andrew (@map_andrew) on Twitter using #scenefromabove or @eoscenefrom Shownotes: The ethics of using geospatial data  Interesting use cases from the EO Clinic: Satellite Vu on its way to a thermal constellation Alba Orbital funding round  Albedo funding round Continuing the trend of high quality tutorials in 2021  Digital Earth Africa  portal and training  Best Available Pixel on Github and GEE Earth Outreach digital event hub Geo for Good Summit 2020 Publishing an Earth Engine App to Accompany your Research Paper Earth Engine Community pages  Training Resources 

We’re back with a new season of Location Matters! To kick off the first episode of season three, we’re joined by David Kroodsma, Director of Research and Innovation at Global Fishing Watch, and Brian Sullivan, Program Manager at Google Earth Outreach. David and Brian look back at how Global Fishing Watch started and how the platform is utilising Google Cloud and Google Earth Engine to identify fishing vessels with high risk of forced labour, track illegal fishing in North Korea, and so much more.   https://globalfishingwatch.org/ (Global Fishing Watch) https://www.google.com/earth/outreach/ (Google Earth Outreach) https://globalfishingwatch.org/research/2019_analysis_illegal_fishing/ (Illegal fishing in North Korea study)

Welcome to the 2nd episode in this experiment!It was a blast to sit down with Will, I hope you enjoy this, I certainly did. As last time here are most of the things we talked about:Will Cadell & Sparkgeo on Twitter:@geo_will@sparkgeoLinks to materials we talked about:The geospatial product trap blog post: https://sparkgeo.com/blog/the-geospatial-product-trap/GDAL sponsors page: https://gdal.org/sponsors/index.htmlEven Rouault, current maintainer of GDAL: @EvenRouaultSTAC (SpatioTemporal Asset Catalogs): http://stacspec.org/Google Earth Engine: https://earthengine.google.com/Seems like time-stamps were appreciated, so here they are:00:00 : Intro02:35 : Beginning of episode: Will presents himself and the story of creating Sparkgeo20:30: Do you miss coding?23:25 : Keeping up with the ever changing technical side of things27:00 : 3 main reasons that make geospatial so popular today32:02 : Do we have a role in educating people outside of geospatial about the field?37:40 : OGC (Open Geospatial Consortium) & STAC (SpatioTemporal Assets Catalog)40:30 : Our responsibility to explain what we are doing with geospatial data46:25 : The "geospatial product trap"55:10 : How is Sparkgeo not falling for this trap?1:06:00 : Choosing the projects Sparkgeo works on1:09:50 : GDAL (Geospatial Data Abstraction Layer) & open source1:18:50 : Cloud infrastructure in geospatial1:27:55 : Google Earth Engine1:31:22 : Will's Book recommendations Feel free to drop me a line, I'd love to know what you think of this!@MaxLenormandminds.behind.maps@gmail.comThanks for listening!

We talk to Keiko Nomura from Space Intelligence about using Google Earth Engine in her PhD. In the news we mention Maxar, Rasters Revealed and xarray. Amongst other things. If you have questions, comments or corrections then you can contact Alastair (@ajggeoger) and Andrew (@map_andrew) on Twitter using #scenefromabove or @eoscenefrom Shownotes: Sentinel-6 and planned Copernicus launches! Maxar announce 15 cm imagery  Rasters Revealed is on the 15th Jan 2021 Penguin counting using drones  Cloud Native Geospatial Sprint Awards & Bounties  500 resources on awesome-eo-code!! Handling multi temporal satellite images with xarray  3D web visualisation Keiko's page Space Intelligence

Steve & Mark answer your questions on archery shot routines, custom ballistic reticles, quality of roads for elk hunting, and more. You'll also hear about "impressively stupid" questions from hunters. We also discuss some listener tips about using Google Earth and other resources for satellite imagery. As mentioned in the show, check out Google Earth Engine (https://explorer.earthengine.google.com/) and use the "Add data" function to explore data overlays. Suggested data layers include "Landsat 8 Collection 1 Tier 1 8-Day TOA Reflectance Composite" available under "8-day mosaics". Once you load that into your workspace you can scroll through dates and change the opacity (among other things). Another imagery solution to explore is NASA's Worldview at https://worldview.earthdata.nasa.gov Have a question for the show? Let us know... podcast@exomtngear.com

Neste episódio #20 do podcast O Fascinante Mundo do Sensoriamento Remoto, vou apresentar uma das mais recentes revoluções no sensoriamento remoto: Google Earth Engine. Espero que você goste. Qualquer questão, me mande por e-mail, contato@profgustavobaptista.com.br. Um grande abraço!

In this episode of The Suite Talk, Jesse will go over the timelapse feature in Google Earth Engine and the timeline feature in Google Street View which are powerful ways to show students change over time. He also shows how students can create galleries within Google Arts & Culture to leverage storytelling as a way of doing a presentation rather than just using slides with text. And how to use Google Earth in all subjects including math. You can check out my website www.thesuitetalk.com for more information about my show.    Want to be a guest?  Please do so and show off your edtech expertise! Please click here or visit my website to fill out the guest form.  I will get back to you as soon as I can. Stay up to date on the latest episode on my YouTube channel, newsletter or podcast.  My show is available on Podbean, Spotify, Apple Podcasts, Google Play Music, and Google Podcast. Click on the ‘Episodes and Podcast List' page to read the show notes and watch past or current episodes. Click on the ‘Schedule' page to see who will be a guest on the show.

We discuss geospatial data visualisation. In the news we mention Python pointers, thermal sensors and Google Earth Engine. Amongst other things. If you have questions, comments or corrections then you can contact Alastair (@ajggeoger) and Andrew (@map_andrew) on Twitter using #scenefromabove or @eoscenefrom Shownotes: A visual introduction to numpy Training resources from RUS Step by step guide to building a GEE app A new curated editorial: Spatial Awareness Towards a new thermal sensor It's goodbye from Dundee Satellite Station And the DSS crowdfunder Drought in Chennai Monitoring a global water crisis Show Your Stripes

In this episode we talk about the importance of getting data disseminated through the web and whether EO scientists are in demand as web developers use APIs to create cool apps. In the news we discuss Google Earth Engine, financing and ocean robots. Amongst other things. If you have questions, comments or corrections then you can contact Alastair (@ajggeoger) and Andrew (@map_andrew) on Twitter using #scenefromabove or @eoscenefrom Shownotes: Google release Earth Engine Apps That Brexit tweet Rezatec secure investment Capella Space win investment Orbital Insight acquire FeatureX UrthCast announce $25m contract Planet and Orbital Insight partnership announced Ocean mapping X prize New NASA space debris report Competition announced by Open Cosmos and ESA