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#remotesensing

13 posts13 participants0 posts today

Proliferating #SpaceDebris threatens environmental monitoring satellites.

"About 70% to 80% of all the [#climate and environment] information that we get are from #satellites. If those satellites in orbit are in danger, our ability to predict climate changes in the future […] is certainly under threat."

dw.com/en/space-junk-damaging-

A spider-like space vehicle extends four arms towards a floating piece of space junk above Earth
Deutsche Welle · Space junk damaging satellites: How do we remove it?By Matthew Ward Agius

In the field of #RemoteSensing, precision and reliability are critical for capturing and analyzing data that drives decision-making across a wide range of industries. Optical filters are tailored to meet the unique requirements of many applications, such as #geospatial #mapping, #hyperspectral imaging, #environmental monitoring, #agricultural health, #weather and #cloud monitoring, #LiDAR and 3D #earth mapping. Learn more: ilphotonics.com/optical-filter

IL Photonics · Optical Filters for Remote Sensing Applications | IL PhotonicsChroma Technology  designs and manufactures optical filters tailored to meet the unique requirements of remote sensing applications.

Open SAR data: Synthetic Aperture Radar (#SAR) is an interesting #remotesensing technology that captures high-resolution data of the Earth’s surface, regardless of weather or lighting conditions. This curated collection of open SAR data sources provides an...
spatialists.ch/posts/2025/04-0 #GIS #GISchat #geospatial #SwissGIS

spatialists.ch – geospatial newsOpen SAR data – spatialists.ch – geospatial news
More from Spatialists

New blog post: Learning resources for GIS in Python with cloud-native geospatial, PostGIS and more: blog.rtwilson.com/learning-res

I recently sent a list of learning resources to a MSc student I'm working with, and (with her permission) am sharing in case others find it useful

blog.rtwilson.comLearning resources for GIS in Python with cloud-native geospatial, PostGIS and more « Robin's Blog

🛰️ 𝗘𝗻𝗦𝗨𝗣 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗠𝗲𝗲𝘁𝗶𝗻𝗴: Greetings from #Potsdam!

Amid all the #EnMAP workshop prep, Stefanie Steinhauser & Prof. Tobias Hank wrapped up a productive #EnSUP meeting—exchanging insights on EnMAP’s mission & next steps. 🚀

🔍 Learn more: linkedin.com/posts/nexus-resea

𝗖𝗙 𝗠𝗲𝘁𝗮𝗱𝗮𝘁𝗮 𝗖𝗼𝗻𝘃𝗲𝗻𝘁𝗶𝗼𝗻𝘀 support #OpenScience by automating processes via metadata in #NetCDF and #Zarr files. They establish a unified language for the #weather, #climate, #ocean, and #EO community. buff.ly/rGPuoku
#remotesensing #EarthObs

ZenodoSupporting Open Science with the CF Metadata Conventions for NetCDFSlides for the presentation given on 11 December 2024 at the AGU Annual Meeting to the session for the AGU Open Science Recognition Prize. Abstact:The CF (Climate and Forecast) Conventions are a community-developed standard that promotes the sharing and automated processing of Earth systems science data in the netCDF data format (and in Zarr/GeoZarr). The CF conventions define metadata that can be used to describe the coordinate systems, data structure, and geophysical meaning and units of each variable. This enables users of data from different sources to decide which quantities are comparable and facilitates building applications with powerful extraction, analysis, and display capabilities. There is a mature and growing ecosystem of FOSS (Free and Open Source Software) and commercial software tools which work with CF. The CF standard has been essential to the success of high-profile internationally-coordinated modeling activities (e.g, the Coupled Model Intercomparison Project, which hosts more than 30 million files and more than 15 petabytes of data, all compliant with CF). CF is widely used by weather, climate, ocean and Earth observation scientists, and is gaining traction among others, such as the biogeochemistry and atmospheric chemistry communities.

NASA’s New Satellite Could Change the Way We Farm Forever
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scitechdaily.com/nasas-new-sat <-- shared technical article
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nisar.jpl.nasa.gov/ <-- shared NISCAR page
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youtu.be/ONHTazfGoiM?si=y2n0ab <-- shared overview video
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Precision Agriculture at Scale | Mapping Crops with Advanced Radar | Cutting-Edge Techniques for Crop Identification | Enhancing Crop Forecasts with NISAR Data | Tracking Soil Moisture for Smarter Farming
#GIS #spatial #mapping #farming #agriculture #farmingintelligence #spatialanalysis #spatiotemporal #fedscience #satellite #earthobservation #remotesensing #policy #planning #management #efficiency #radar #planting #irrigation #waterresources #tools #resources #economics #costs #moisture #crops #AI #machinelearning #water #hydrology #NISAR
@nasa | @ISRO | @JPL