Podcasts about multispectral

Ubotica Technologies has announced a collaboration with Simera Sense, a leading supplier of Earth Observation (EO) optical cameras, to evaluate the integration of Space:AI technology into Simera's imaging solutions. This collaboration aims to enhance multispectral and hyperspectral imaging for the nano- and small satellite markets, making EO missions more economically viable and operationally efficient. Integration of CogniSAT-CRC The collaboration focuses on combining the ground-breaking capabilities of the CogniSAT-XE2 platform and its associated AI solutions with Simera's world-leading range of Multispectral and Hyperspectral imagers. The CogniSAT-CRC (Cloud Removal and Compression) solution, when combined with Simera's HyperScape100 imager, provides the most cost-effective system solution to gather useful, high-resolution hyperspectral information from space. This cutting-edge AI-driven technology provides an efficient image triage and compression solution which optimises image data size, thereby addressing a critical issue limiting the operational use of hyperspectral imagers in orbit and significantly reducing data transmission costs. "Demonstrating EDGE computing and EDGE-AI technical compatibility with our imagers reflects the evolving needs of the EO industry," said Johann du Toit, CEO of Simera Sense. This collaboration allows customers to integrate these advanced imaging solutions combined with AI processing capabilities based on CogniSAT technology. This enables real-time image processing and reduces the data volume transmitted from space to Earth, accelerating the delivery of critical insights to customers. By maximising the utility of hyperspectral imagers, customers can significantly lower costs and improve access to actionable intelligence. Ubotica has already demonstrated the utility of the combination of CogniSAT technology with the HyperScape100 imager on its CogniSAT-6 mission and this collaboration seeks to deliver these benefits to customers. This commercial mission confirms the compatibility between these technologies and brings EDGE solutions to customers. Economic Viability of EO with CogniSAT-CRC CogniSAT-CRC is a key technology in making Earth Observation with multispectral and hyperspectral imagers economically viable. By processing and compressing large volumes of EO data on-board, it reduces the need for extensive data transmission and lowers operational costs, making EO missions more feasible and beneficial for customers. Fintan Buckley, CEO of Ubotica, said: "We are excited to expand our AI-driven solutions in the EO industry through this collaboration with Simera Sense. The integrated compatibility of CogniSAT-CRC with Simera's hyperspectral imagers highlights our technology's potential to solve real-world challenges and enhance the economic viability of space missions." The Letter of Intent (LOI) between Ubotica and Simera Sense marks the beginning of this innovative collaboration, aimed at improving EO missions through advanced AI technologies. See more stories here.

Discover the essential drone features for measuring plant health on golf courses and beyond!

This seminar was given online to the members of the N. Copernicus Astronomical Center Torun in two parts, on the 11.01.2024 and 25.01.2024. I discuss the two main types of satellite Earth observations (Multispectral and SAR) from an astrophysicist's perspective.

On this week's episode of TFB's Behind the Gun Podcast I've brought on Derick with PARD. PARD is a foreign producer of digital and thermal night vision devices that primarily caters to law enforcement and military departments needing observational equipment. However, PARD is also in the business of producing digital night vision, thermal scopes, and multi-spectral scopes that allow hunters across the globe to expand their capabilities beyond the daylight hours of the hunting season. While PARD is quite well known in Europe, today, Derick explains to us why PARD is angling to get into the US Digital and Thermal night vision market, as well as what their current offerings cover and what some of the basic terminology surrounding these types of devices means when it comes to selecting one for your specific shooting application. Please welcome Derick with PARD to the podcast!  PARD Website PARD on Facebook PARD on Instagram PARD on YouTube  

When comparing multispectral and hyperspectral data it is not simply a case of “more data more better”!  With hyperspectral you have “The curse of Dimensionality” but you also get more flexibility to pick exactly what bands you want to use! With multispectral you have less noise but you also have less data! This episode is designed to be a beginner's guide to the differences between hyperspectral and multispectral satellite data.   You can reach out to Gordon Logie here: https://sparkgeo.com/blog/team/gordon/   Podcast episode with the CEO of Sentinel-Hub https://mapscaping.com/podcast/sentinel-hub/   Here are some courses that focused on hyperspectral and offer further training   https://eo-college.org/courses/beyond-the-visible/ https://eo-college.org/courses/beyond-the-visible-imaging-spectroscopy-for-agricultural-applications/ https://www.enmap.org/events_education/hyperedu/

Dan Katz is the co-founder and CEO of Orbital Sidekick, a San Francisco-based company deploying a constellation of hyperspectral remote sensing satellites. Among other things, I talk to Dan about the capabilities and use cases of this exciting technology. Enjoy! Follow us:  https://www.twitter.com/podcast_space Instagram: @raphael_space Learn more about space & the space economy: Check out the edX/EPFL Space Economy MOOC: https://www.edx.org/course/new-space-economy There is now a certificate for those wanting to enter the space sector: https://www.spacecertificate.com Do you want to specifically learn about investing in Space? Join the pre-release of Raphael's new live-taught course on Maven:  https://maven.com/space-business-institute/investing-course The Space Business Podcast is sponsored by NanoAvionics.   Support us at https://www.patreon.com/spacebusinesspodcast Timestamps 0:00 Intro 2:14 Elevator Pitch 3:55 What is Hyperspectral Earth Observation? 10:16 Multispectral vs. Hyperspectral vs. ... Ultraspectral(?)  14:40 The upper bounds of spectral resolution 18:55 Operating at night time and under cloud cover 22:43 Data and onboard processing 27:15 Business Model 30:50 Coverage 31:52 Resolution 36:28 Pipeline leaks as a use case 40:14 Orbital Sidekick's satellites 45:43 Selling to non-space customers 48:37 Vision for the company 52:42 Origin story 56:05 Space trends 58:00 Sci-Fi

This week in drone news: A story of a Pilot Institute Student who saved two people in 9 days using drones, DJI released the Mavic 3 Multispectral & the new O3+ Air Unit this week, and a FOIA Showed 101 accidents reported to the FAA. Your first story this week is a Pilot Institute Student who saved a life. Texas Game Warden Michael Hummert responded to two search and rescue calls in central Texas in less than ten days. As the only thermal drone in the county, Hummert led deputies to the first missing individual who was in a restricted DOD airspace. Just nine days later officials reached out requesting assistance in another missing persons case. Hummert working in conjunction with federal officials was again successful in ensuring the person's safety. Huge shout out to Warden Hummert and all first responders! Thanks for what you do! Your second story this week is the new DJI air unit and the Mavic 3 Multispectral! O3+ has arrived in an air unit platform, and the video is amazing with 1080p 100fps in the goggles and 4K60 with rock steady recording in camera. We've got a review you can check out here where we tested the air unit in a number of torture tests! Also check out Drone XL's article on the new air unit! Also released this week is the Mavic 3 Multispectral, signaling the true end to the Phantom line up. The M3M uses a 4/3 CMOS sensor with 4 additional sensors in the Green, Red, Red Edge, and Near IR bands to collect data for agriculture. Each additional sensor is 5MP while the main sensor is 20MP with a mechanical shutter. As with the rest of the Mavic 3 enterprise line up, the M3M has an available SDK, RTK, and uses the DJI Pilot 2 App. For those who were waiting for a Phantom 5, it looks like this is it! This is the 6th Mavic 3 from DJI, and the 4th one this year. Your third story this week is a FOIA request that showed 101 drone accident reports made to the FAA. Interesting notes are that 25 of the 101 pertain to near misses or collisions with manned aircraft, 8 were caused by fly aways, 7 by wind, 4 by low battery, and 3 were shot down. Many of the accidents were due to equipment malfunctions, however there are a few that are due to people being “That guy”. One discussed a person flying a mavic air 2 by an unlicensed operator who decided to go inside during the flight, resulting in the drone low-battery landing into a girl riding her bike resulting in lacerations to her face that required hospitalization. Remember that these were FAA reports, not NTSB reports. The NTSB reporting requirements are actually a lot lower than the FAA ones (which is only $500 in damage). The last story this week is that our Black Friday sale is going strong today. All the courses in our catalog are currently at the lowest they will be this year, and I mean that. Our Part 107 course is $107 right now, our photo/video fundamentals course is $75, the real estate course is $49, the mapping bundle is $199. See the full list on our website. That's it! We hope you had a great turkey day, time to go back to your food coma, we will see you next week.

In this episode Katie Albers-Morris, Helen Davies, and Alex Zawacki talk about recovering palimpsests and erased texts with multispectral imaging. All three are, or have been, PhD candidates at the Lazarus project at the University of Rochester, an initiative that was designed with the educational purpose of training students in the field of multispectral imaging and image processing techniques for cultural heritage objects. During the episode we discuss MSI in general, their experiences as (grad) students and program coordinators at the Lazarus project, MSI in the classroom, and the challenges of dissertation projects in the digital humanities. Transcript and more information at https://podcast.digitalmedievalist.org/episode-11-multispectral-imaging Music credits: theme music: TeknoAXE, “Chiptune Nobility” (CC BY 4.0); interludes: Random Mind, King's Feast” (CC0). Recorded 2 August 2021. Produced and edited by Hannah Busch (@cesare_blanc).

Thoroughly scouting large fields for numerous different pests is extremely time consuming, but cutting corners may result in yield losses and long term challenges. Tim Pearson, Regional Sales Manager for Taranis, is our guest for this episode of the FarmBits podcast to discuss how Taranis is providing precision scouting services. Taranis originated in Israel and is now headquartered in Westfield, Indiana. They provide imagery and artificial intelligence services primarily to trusted advisors and retail outlets, and can generally be considered a digital scouting service. In this episode, Tim shares with us how Taranis's technology works, what their approach to scouting is, how it is helping to make scouting operations more efficient, and how their technology may work with other technologies to produce greater benefit. Taranis is quickly gaining popularity and this episode is a great opportunity to look under the hood of a growing service. Tim's Contact Information: E-Mail: tim.pearson@taranis.ag Cell: (402) 269-0799 LinkedIn: https://www.linkedin.com/in/tim-pearson-30634ab2/ Twitter: https://twitter.com/wildcatcropdr Taranis Information: Website: https://taranis.ag/ Instagram: https://www.instagram.com/taranis_ag/ Twitter: https://twitter.com/TaranisAg Facebook: https://www.facebook.com/taranisvisual YouTube: https://www.youtube.com/channel/UCt-0bs-qsyk-27FbFGVc6lw LinkedIn: https://www.linkedin.com/company/taranis-visual/ FarmBits Contact Information: E-Mail: farmbits@unl.edu Twitter: https://twitter.com/NEDigitalAg Jackson's Twitter: https://twitter.com/jstansell87 Jackson's LinkedIn: https://www.linkedin.com/in/jacksonstansell/ Zach's Twitter: https://twitter.com/zachrystrom Zach's LinkedIn: https://www.linkedin.com/in/zach-rystrom-90744376/ Opinions expressed by the hosts and guests on this podcast are solely their own, and do not reflect the views of Nebraska Extension or the University of Nebraska - Lincoln.

In this episode we dive into various aspects of unmanned aerial photography (aka "drone" photography) including the use of drones for infrared (IR) inspections and photogrammetry. Full show notes at: https://copelandbec.com/podcast/ --- Send in a voice message: https://podcasters.spotify.com/pod/show/buildbetter/message

Metaspectral is a platform to compress, stream, analyze and store multispectral and hyperspectral imagery in real-time.

Today's episode features Clara Bird! She's currently a PhD student at Oregon State University in Corvallis, which is the perfect location because she is studying gray whale behavior using drones! And before that she went to Duke University in North Carolina and worked in the Duke Drone Lab and through that is how she ended up working with penguins, drones, and Antarctica! So we start off by talking about her background and getting into the remote sensing field, the Duke Drone Lab, and then dive into her work in Antarctica with whales and penguins. She recently had a paper published from this work, which we talk about in the episode so the link below. Enjoy! --- You can find Rachel Villani on Twitter @flyingcypress and Storytellers of STEMM on Facebook at https://www.facebook.com/storytellersofSTEMM. You can find Clara Bird on Twitter @clarabirdferrer. Clara's recent paper about Adelie penguins and drones, titled "A Semi-Automated Method for Estimating Adélie Penguin Colony Abundance from a Fusion of Multispectral and Thermal Imagery Collected with Unoccupied Aircraft Systems": https://www.mdpi.com/2072-4292/12/22/3692. Recorded on 18 October 2020.

In questa chiacchierata con Andrea Liverani parliamo di Agricoltura di precisione direttamente dal campo. Andrea è un operatore e pilota APR, vive in Sardegna e si è specializzato in servizi tecnici a supporto dell'agricoltura. Utilizza sensori multispettrali e, nello specifico l'equipaggiamento a bordo del drone Phantom 4 Multispectral. E così ci racconta un po' come funzionano le operazioni in campo per raccogliere informazioni sullo stato di conservazione delle colture (e non solo). Questo è il suo riferimento online: https://www.liveraniservizi.it/ Se ti va di raccontare la tua esperienza nel mondo del rilievo, della misura, dei droni, dei dati 3D, o se ti va di segnalarmi qualcuno di interessante da contattare puoi scrivermi su Telegram @paolocorradeghini Se vuoi sostenermi, puoi farlo scegliendo di diventare finanziatore e produttore di 3DMetrica. Puoi scoprire come fare qui: https://3dmetrica.it/supporta/ Se vuoi seguire gli aggiornamenti quotidiani puoi iscriverti al Canale Telegram di 3DMetrica: https://telegram.me/tredimetrica

As far as hobbyist remote sensing goes, Sergio Volkmer is an expert.  Though trained as a geologist, Sergio has spent the bulk of his career as an architect.  But his passion for earth science and remote sensing never died.  Listen in to Sergio's intriguing journey as a remote sensing hobbyist and for ticks and tips on the utilisation of high resolution multispectral analysis for minerals typing and environmental monitoring.Links for Sergio's work:Soar Platform ProfileTwitterLinkedInUMapFor more information about Soar please visit:soar.earthSoar Corporate Site

In the second episode of our podcast centering around agricultural drones, we narrow in on the mapping capabilities of the Phantom 4 Multispectral, and just what makes it so special.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.06.07.138941v1?rss=1 Authors: Duan, B., Walker, L. A., Roosien, D. H., Shen, F. Y., Cai, D., Yan, Y. Abstract: Reconstructing neuron morphology is central to uncovering the complexity of the nervous system. That is because the morphology of a neuron essentially provides the physical constraints to its intrinsic electrophysiological properties and its connectivity. Recent advances in imaging technologies generated large quantities of high-resolution 3D images of neurons in the brain. Furthermore, the multispectral labeling technology, Brainbow permits unambiguous differentiation of neighboring neurons in a densely labeled brain, therefore enables for the first time the possibility of studying the connectivity between many neurons from a light microscopy image. However, lack of reliable automated neuron morphology reconstruction makes data analysis the bottleneck of extracting rich informatics in neuroscience. Supervoxel-based neuron segmentation methods have been proposed to solve this problem, however, the use of previous approaches has been impeded by the large numbers of errors which arise in the final segmentation. In this paper, we present a novel unsupervised approach to trace neurons from multispectral Brainbow images, which prevents segmentation errors and tracing continuity errors using two innovations. First, we formulate a Gaussian mixture model-based clustering strategy to improve the separation of segmented color channels that provides accurate skeletonization results for the following steps. Next, a skeleton graph approach is proposed to allow the identification and correction of discontinuities in the neuron tree topology. We find that these innovations allow our approach to outperform current state-of-the-art approaches, which results in more accurate neuron tracing as a tree representation close to human expert annotation. Copy rights belong to original authors. Visit the link for more info

Grab your lab coats and don your goggles: we're taking a closer look at analysis and its role in conservation! Between us we compare notes on heritage science and reflect on some of our experiences. We talk to Sophie Rowe about curiosity and funny smells, Dr Paola Ricciardi about non-invasive techniques, and Rob McLeod about everything from how to talk about science to cool equipment. Don't forget to join Amanda at the Benchwork Bar for a Ray Gun cocktail (or mocktail) on your way out! 00:00:30 News in brief 00:03:45 Our forays into analysis 00:22:09 Interview with Sophie Rowe 00:37:40 We clearly need a low cost hub for analysis 00:39:46 Interview with Dr Paola Ricciardi 01:01:14 CT scanning adventures 01:03:35 How much?! 01:06:57 How useful is the work of scientists to conservators? 01:14:42 Interview with Rob McLeod 01:26:56 Benchwork Bar: The Ray Gun 01:29:32 Questions, comments, corrections: article attribution Show Notes: - Icon Emerging Professionals Network's Call for Projects: https://icon.org.uk/groups/emerging-professionals-network/news-events-and-resources - Material Characterization Tests for Objects of Art and Archaeology: https://archetype.co.uk/our-titles/material-characterization-tests/?id=217 - Using UV Light in Conservation: https://www.preservationequipment.com/Blog/Blog-Posts/Using-UV-light-in-conservation - Raman spectroscopy: https://en.wikipedia.org/wiki/Raman_spectroscopy - Fourier-transform infrared spectroscopy: https://en.wikipedia.org/wiki/Fourier-transform_infrared_spectroscopy - Scanning electron microscopy: https://en.wikipedia.org/wiki/Scanning_electron_microscope - X-radiography: https://en.wikipedia.org/wiki/Radiography_of_cultural_objects - Digital microscopy: https://www.preservationequipment.com/Blog/Blog-Posts/Digital-Microscopes-in-Conservation - Heritage Smells: https://www.ucl.ac.uk/bartlett/heritage/research/projects/project-archive/heritage-smells - Gas chromatography–mass spectrometry: https://en.wikipedia.org/wiki/Gas_chromatography%E2%80%93mass_spectrometry - Miniare project: http://www.miniare.org/ - Multispectral imaging: https://chsopensource.org/multispectral-imaging-system/ - X-ray fluorescence: https://en.wikipedia.org/wiki/X-ray_fluorescence - Reflectance difference spectroscopy: https://en.wikipedia.org/wiki/Reflectance_difference_spectroscopy - Digitization without Disruption (webinar with Dr David Mills): https://www.youtube.com/watch?v=lQxkyagkg8k&feature=emb_title - Thin-Layer Chromatography for Binding Media Analysis: https://www.getty.edu/publications/virtuallibrary/0892363908.html - Polarizing Microscopy: https://chsopensource.org/microscopy-for-art-examination-polarizing-microscopy/ - Natural History Museum science department: https://www.nhm.ac.uk/our-science.html - Conservation Cocktails by Amanda Richards: https://www.pinterest.co.uk/arichards123/conservation-cocktails/ - 'Novel ways of communicating museum pest monitoring data: practical implementation' by Christian Baars and Jane Henderson: http://orca.cf.ac.uk/129741/ - 'Standardizing and communicating IPM data' by Jane Henderson, Christian Baars, and Sally Elizabeth Hopkins: http://orca.cf.ac.uk/129738/ Support us on Patreon! http://www.patreon.com/thecword Hosted by Jenny Mathiasson, Kloe Rumsey, and Christina Rozeik. Intro and outro music by DDmyzik used under a Creative Commons Attribution license. Made available under a Creative Commons Attribution-NonCommercial 4.0 International license. A Wooden Dice production, 2020.

We are joining Aaron Kingaman of Lucint Systems of Portland, Oregon. Lucint provides modular multispectral mapping cameras for use on both drones and manned aircraft. In addition to that Lucint provides a variety of services, notably orthorectification, camera calibration, and builds custom camera arrays to suit the agricultural, municipal power, and surveying industries.

This episode of the Alabama Water Institute podcast features Min Xu, a Ph.D. candidate in The University of Alabama’s Department of Geography. She researches remote sensing, geographic information systems, inland water quality, harmful algal blooms, and spatio-temporal analysis of remote sensing images. In this presentation, she looks at measuring water turbidity of rivers within the Tombigbee River basin and Mobile Bay from satellite multispectral imagery.

In this podcast I discuss the wrong use of the term Resolution in scientific articles or in the general media. Resolution in Remote Sensing can be used to describe several aspects of images, such as: temporal resolution: the time difference between two images of the same place spectral resolution: related to the number of bands and wavelengths, such as in Panchromatic, Multispectral, Hyperspectral, or Ultraspectral radiometric resolution: the number of bits needed to store a pixel value (e.g. 8 bits in Landsat 7 or 11 bits in WorldView-2) spatial resolution: the focus of this podcast, relating the area represented by a single pixel in an image I provide an interesting reference with an easy to use table, to understand what can be considered High Spatial Resolution, or Low Spatial Resolution: Taxonomy of Remote Sensing Systems - Spatial Ground Resolution Ultra High: < 1m Very High: [1m, 4m] High: [4m, 10m] Medium: [10m, 50m] Low: [50m, 250m] Very Low: > 250m The reference is: Ehlers, M., Janowsky, R., Gähler, M., 2001. New remote sensing concepts for environmental monitoring. Proceedings of SPIE - The International Society for Optical Engineering. The original paper is available at https://www.researchgate.net/publication/252130745_New_remote_sensing_concepts_for_environmental_monitoring Follow my podcast: http://anchor.fm/tkorting Subscribe to my YouTube channel: http://youtube.com/tkorting The intro and the final sounds were recorded at my home, using an old clock that belonged to my grandmother. Thanks for listening

Latest practices for data acquisition and processing in agricultural drone mapping In today's show, we are joined by Dr. Greg Crutsinger, founder of Scholarfarms to discuss how to collect and assess data using agricultural drones. We discuss the P4 Multispectral, drone mapping software - Pix4DFields and Pix4DReact, and recommend the best workflow for agricultural drone mapping. We start this show by discussing DJI's latest agricultural drone, the P4 Multispectral in great detail. Aggressively priced at $7,000, will this new DJI drone prove to be a good alternative to proven multispectral drones like the Wingtra and eBEE X? In the next segment of the show, Greg explains in simple terms how multispectral cameras are used to determine the health of plants. Listeners will learn how multispectral drones equipped with light sensors are used to create a reflectance map to eventually provide actionable insights to farms. Greg then provides some expert tips for selecting the best possible agricultural drone. Do consumer drones like Mavic and Phantom have any useful agricultural applications? And, are you better off using a multirotor over an expensive fixed-wing? Next, we discuss drone mapping software. Will the use of Pix4DFields and Pix4D React result in a compressed and efficient workflow? Apart from agricultural drones, we also discuss how drones are gradually proving to be an indispensable tool for disaster relief. Specifically, Greg gives a first-hand account of how he used drone mapping to help out at the Paradise Campfire incident. Whether you are an established drone mapper or aspiring to be one, this is a show you cannot miss. Tune in now! Recently crashed your drone? Unable to find trained technicians who can repair your drone quickly and at a reasonable rate? Don’t fret. The cool folks at Fortress UAV can help you get your drone back up in the air in as little as 7 days! Use Promo Code “DroneU” to get 25% off. Drone U Members get an extra 5% off on total repair costs. Check them out now! Make sure to get yourself the all-new Drone U landing pad! Get your questions answered: https://thedroneu.com/. If you enjoy the show, the #1 thing you can do to help us out is to subscribe to it on iTunes. Can we ask you to do that for us real quick? While you're there, leave us a 5-star review, if you're inclined to do so. Thanks! https://itunes.apple.com/us/podcast/ask-drone-u/id967352832. Become a Drone U Member. Access to over 30 courses, great resources, and our incredible community. Looking for simple, fast, and transparent coverage that gives you peace of mind? Our friends at Skywatch are offering affordable on-demand drone insurance that rewards YOU for flying safely. Check them out NOW! Both hourly and monthly options available. Follow us: Site - https://thedroneu.com/ Facebook - https://www.facebook.com/droneu Instagram - https://instagram.com/thedroneu/ Twitter - https://twitter.com/thedroneu YouTube - https://www.youtube.com/c/droneu Get your copy of “Livin’ the Drone Life” – http://amzn.to/2nalUDH Get your copy of our Part 107 Study Guide – https://amzn.to/2omQatT//amzn.to/2omQatT Check out our upcoming Mapping Classes – https://thedroneu.clickfunnels.com/drone-u-mapping-classes-2019 Timestamps Paul welcomes Greg to the show Greg shares his background information, and reveals how he transitioned to agricultural drone mapping Drones in public safety Will Pix4D React results in a more compressed drone mapping workflow for disaster relief? Greg shares how he used drone mapping to aid in disaster relief during the Paradise campfire incident? Did the inability to fly BVLOS prove to be a big hindrance? Greg shares how different drone industry majors teamed up for disaster relief efforts during the Paradise campfire Will you face any issues on using third-party cameras with your drone? Will P4 Multispectral will disrupt the market and re...

Drew Baustian, Business Development Manager at MicaSense, joins Ian to explain the finer points of multispectral drone cameras and imagery for precision agriculture. The pair discuss data capture, the science behind the tech, and use cases where multispectral imagery has been a difference-maker for agriculture end users. MicaSense recently released their Altum multispectral sensor.

Chet Van Duzer, an accomplished historian of cartography, trains his sight in this book on one uniquely important map produced in early modern Europe. The 1491 world map by Henricus Martellus has long been deemed “an essentially unstudiable object,” its legends and descriptions illegible to the unaugmented eye. Now, aided by multispectral imaging technology — and a dogged team of technicians — Van Duzer has rendered Martellus legible and reproduced the map in vivid form, both in the pages of this book and, still more systematically, in an online space that accompanies the text. Van Duzer's new book Henricus Martellus's World Map at Yale (c. 1491): Multispectral Imaging, Sources, and Influence (Springer, 2019) is both an example of and an articulate argument for the possibilities of multispectral imaging. In tracing the circuits by which Martellus came to inform subsequent geographic knowledge — as manifest in Martin Behaim's 1492 globe, in Christopher Columbus's own wager that the “New World” might become accessible to European eyes, and most profoundly in Martin Waldseemüller's world map of 1507, which first applied the name “America” in its modern sense — Van Duzer argues for a radically new understanding of this period in cartographic representation. Moreover, in considering Martellus's own influences, which included inter alia African traditions of mapping the lands south of Egypt, he adds critical complexity to our understanding of how — and for how long — European and non-European geographic practices have been entwined. In its sources, its methodology, and its ultimate revisions to received narratives of cartographic priority, the book has the flavor of an early modern detective tale. It will reward scrutiny by a wide readership. Learn more about your ad choices. Visit megaphone.fm/adchoices

Chet Van Duzer, an accomplished historian of cartography, trains his sight in this book on one uniquely important map produced in early modern Europe. The 1491 world map by Henricus Martellus has long been deemed “an essentially unstudiable object,” its legends and descriptions illegible to the unaugmented eye. Now, aided by multispectral imaging technology — and a dogged team of technicians — Van Duzer has rendered Martellus legible and reproduced the map in vivid form, both in the pages of this book and, still more systematically, in an online space that accompanies the text. Van Duzer’s new book Henricus Martellus’s World Map at Yale (c. 1491): Multispectral Imaging, Sources, and Influence (Springer, 2019) is both an example of and an articulate argument for the possibilities of multispectral imaging. In tracing the circuits by which Martellus came to inform subsequent geographic knowledge — as manifest in Martin Behaim’s 1492 globe, in Christopher Columbus’s own wager that the “New World” might become accessible to European eyes, and most profoundly in Martin Waldseemüller’s world map of 1507, which first applied the name “America” in its modern sense — Van Duzer argues for a radically new understanding of this period in cartographic representation. Moreover, in considering Martellus’s own influences, which included inter alia African traditions of mapping the lands south of Egypt, he adds critical complexity to our understanding of how — and for how long — European and non-European geographic practices have been entwined. In its sources, its methodology, and its ultimate revisions to received narratives of cartographic priority, the book has the flavor of an early modern detective tale. It will reward scrutiny by a wide readership. Learn more about your ad choices. Visit megaphone.fm/adchoices

Chet Van Duzer, an accomplished historian of cartography, trains his sight in this book on one uniquely important map produced in early modern Europe. The 1491 world map by Henricus Martellus has long been deemed “an essentially unstudiable object,” its legends and descriptions illegible to the unaugmented eye. Now, aided by multispectral imaging technology — and a dogged team of technicians — Van Duzer has rendered Martellus legible and reproduced the map in vivid form, both in the pages of this book and, still more systematically, in an online space that accompanies the text. Van Duzer’s new book Henricus Martellus’s World Map at Yale (c. 1491): Multispectral Imaging, Sources, and Influence (Springer, 2019) is both an example of and an articulate argument for the possibilities of multispectral imaging. In tracing the circuits by which Martellus came to inform subsequent geographic knowledge — as manifest in Martin Behaim’s 1492 globe, in Christopher Columbus’s own wager that the “New World” might become accessible to European eyes, and most profoundly in Martin Waldseemüller’s world map of 1507, which first applied the name “America” in its modern sense — Van Duzer argues for a radically new understanding of this period in cartographic representation. Moreover, in considering Martellus’s own influences, which included inter alia African traditions of mapping the lands south of Egypt, he adds critical complexity to our understanding of how — and for how long — European and non-European geographic practices have been entwined. In its sources, its methodology, and its ultimate revisions to received narratives of cartographic priority, the book has the flavor of an early modern detective tale. It will reward scrutiny by a wide readership. Learn more about your ad choices. Visit megaphone.fm/adchoices

Chet Van Duzer, an accomplished historian of cartography, trains his sight in this book on one uniquely important map produced in early modern Europe. The 1491 world map by Henricus Martellus has long been deemed “an essentially unstudiable object,” its legends and descriptions illegible to the unaugmented eye. Now, aided by multispectral imaging technology — and a dogged team of technicians — Van Duzer has rendered Martellus legible and reproduced the map in vivid form, both in the pages of this book and, still more systematically, in an online space that accompanies the text. Van Duzer’s new book Henricus Martellus’s World Map at Yale (c. 1491): Multispectral Imaging, Sources, and Influence (Springer, 2019) is both an example of and an articulate argument for the possibilities of multispectral imaging. In tracing the circuits by which Martellus came to inform subsequent geographic knowledge — as manifest in Martin Behaim’s 1492 globe, in Christopher Columbus’s own wager that the “New World” might become accessible to European eyes, and most profoundly in Martin Waldseemüller’s world map of 1507, which first applied the name “America” in its modern sense — Van Duzer argues for a radically new understanding of this period in cartographic representation. Moreover, in considering Martellus’s own influences, which included inter alia African traditions of mapping the lands south of Egypt, he adds critical complexity to our understanding of how — and for how long — European and non-European geographic practices have been entwined. In its sources, its methodology, and its ultimate revisions to received narratives of cartographic priority, the book has the flavor of an early modern detective tale. It will reward scrutiny by a wide readership. Learn more about your ad choices. Visit megaphone.fm/adchoices

Chet Van Duzer, an accomplished historian of cartography, trains his sight in this book on one uniquely important map produced in early modern Europe. The 1491 world map by Henricus Martellus has long been deemed “an essentially unstudiable object,” its legends and descriptions illegible to the unaugmented eye. Now, aided by multispectral imaging technology — and a dogged team of technicians — Van Duzer has rendered Martellus legible and reproduced the map in vivid form, both in the pages of this book and, still more systematically, in an online space that accompanies the text. Van Duzer’s new book Henricus Martellus’s World Map at Yale (c. 1491): Multispectral Imaging, Sources, and Influence (Springer, 2019) is both an example of and an articulate argument for the possibilities of multispectral imaging. In tracing the circuits by which Martellus came to inform subsequent geographic knowledge — as manifest in Martin Behaim’s 1492 globe, in Christopher Columbus’s own wager that the “New World” might become accessible to European eyes, and most profoundly in Martin Waldseemüller’s world map of 1507, which first applied the name “America” in its modern sense — Van Duzer argues for a radically new understanding of this period in cartographic representation. Moreover, in considering Martellus’s own influences, which included inter alia African traditions of mapping the lands south of Egypt, he adds critical complexity to our understanding of how — and for how long — European and non-European geographic practices have been entwined. In its sources, its methodology, and its ultimate revisions to received narratives of cartographic priority, the book has the flavor of an early modern detective tale. It will reward scrutiny by a wide readership. Learn more about your ad choices. Visit megaphone.fm/adchoices

Chet Van Duzer, an accomplished historian of cartography, trains his sight in this book on one uniquely important map produced in early modern Europe. The 1491 world map by Henricus Martellus has long been deemed “an essentially unstudiable object,” its legends and descriptions illegible to the unaugmented eye. Now, aided by multispectral imaging technology — and a dogged team of technicians — Van Duzer has rendered Martellus legible and reproduced the map in vivid form, both in the pages of this book and, still more systematically, in an online space that accompanies the text. Van Duzer’s new book Henricus Martellus’s World Map at Yale (c. 1491): Multispectral Imaging, Sources, and Influence (Springer, 2019) is both an example of and an articulate argument for the possibilities of multispectral imaging. In tracing the circuits by which Martellus came to inform subsequent geographic knowledge — as manifest in Martin Behaim’s 1492 globe, in Christopher Columbus’s own wager that the “New World” might become accessible to European eyes, and most profoundly in Martin Waldseemüller’s world map of 1507, which first applied the name “America” in its modern sense — Van Duzer argues for a radically new understanding of this period in cartographic representation. Moreover, in considering Martellus’s own influences, which included inter alia African traditions of mapping the lands south of Egypt, he adds critical complexity to our understanding of how — and for how long — European and non-European geographic practices have been entwined. In its sources, its methodology, and its ultimate revisions to received narratives of cartographic priority, the book has the flavor of an early modern detective tale. It will reward scrutiny by a wide readership. Learn more about your ad choices. Visit megaphone.fm/adchoices

Chet Van Duzer, an accomplished historian of cartography, trains his sight in this book on one uniquely important map produced in early modern Europe. The 1491 world map by Henricus Martellus has long been deemed “an essentially unstudiable object,” its legends and descriptions illegible to the unaugmented eye. Now, aided by multispectral imaging technology — and a dogged team of technicians — Van Duzer has rendered Martellus legible and reproduced the map in vivid form, both in the pages of this book and, still more systematically, in an online space that accompanies the text. Van Duzer’s new book Henricus Martellus’s World Map at Yale (c. 1491): Multispectral Imaging, Sources, and Influence (Springer, 2019) is both an example of and an articulate argument for the possibilities of multispectral imaging. In tracing the circuits by which Martellus came to inform subsequent geographic knowledge — as manifest in Martin Behaim’s 1492 globe, in Christopher Columbus’s own wager that the “New World” might become accessible to European eyes, and most profoundly in Martin Waldseemüller’s world map of 1507, which first applied the name “America” in its modern sense — Van Duzer argues for a radically new understanding of this period in cartographic representation. Moreover, in considering Martellus’s own influences, which included inter alia African traditions of mapping the lands south of Egypt, he adds critical complexity to our understanding of how — and for how long — European and non-European geographic practices have been entwined. In its sources, its methodology, and its ultimate revisions to received narratives of cartographic priority, the book has the flavor of an early modern detective tale. It will reward scrutiny by a wide readership. Learn more about your ad choices. Visit megaphone.fm/adchoices

Chet Van Duzer, an accomplished historian of cartography, trains his sight in this book on one uniquely important map produced in early modern Europe. The 1491 world map by Henricus Martellus has long been deemed “an essentially unstudiable object,” its legends and descriptions illegible to the unaugmented eye. Now, aided by multispectral imaging technology — and a dogged team of technicians — Van Duzer has rendered Martellus legible and reproduced the map in vivid form, both in the pages of this book and, still more systematically, in an online space that accompanies the text. Van Duzer’s new book Henricus Martellus’s World Map at Yale (c. 1491): Multispectral Imaging, Sources, and Influence (Springer, 2019) is both an example of and an articulate argument for the possibilities of multispectral imaging. In tracing the circuits by which Martellus came to inform subsequent geographic knowledge — as manifest in Martin Behaim’s 1492 globe, in Christopher Columbus’s own wager that the “New World” might become accessible to European eyes, and most profoundly in Martin Waldseemüller’s world map of 1507, which first applied the name “America” in its modern sense — Van Duzer argues for a radically new understanding of this period in cartographic representation. Moreover, in considering Martellus’s own influences, which included inter alia African traditions of mapping the lands south of Egypt, he adds critical complexity to our understanding of how — and for how long — European and non-European geographic practices have been entwined. In its sources, its methodology, and its ultimate revisions to received narratives of cartographic priority, the book has the flavor of an early modern detective tale. It will reward scrutiny by a wide readership. Learn more about your ad choices. Visit megaphone.fm/adchoices

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An Air Force Institute of Technology research team improves human skin detection using a new multispectral camera system. The new technology could significantly enhance Search and Rescue or Recovery operations.