📣Announcing the next GBIF #DataUseClub 🥁Integrating Remotely Sensed Data with GBIF Mediated Data!
Join @kitlewers for a technical session learning how GBIF APIs can be used in conjunction with remote sensing datasets to enhance biodiversity analyses!
📍9 July 2025 15:00-16:30 CEST
Register: 🔗https://gbif.link/DUC-remote-sensing
@fionag11 I took a few courses in #GeospatialModeling and #RemoteSensing at #CUNYHunter. I'm jealous. It was fun.
Mountains of the moon https://earthobservatory.nasa.gov/images/154313/mountains-of-the-moon #remotesensing
🚀 Just released a new version of l3bin which is available on crates.io (https://github.com/PMassicotte/l3bin).
If you work with L3bin data from satellite observations, this might be useful for you!
This update brings improvements to performance, stability, and error handling.
A Comprehensive Framework For Evaluating The Quality Of Street View Imagery
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https://doi.org/10.1016/j.jag.2022.103094 <-- shared paper
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“HIGHLIGHTS
• [They] propose the first comprehensive quality framework for street view imagery.
• Framework comprises 48 quality elements and may be applied to other image datasets.
• [They] implement partial evaluation for data in 9 cities, exposing varying quality.
• The implementation is released open-source and can be applied to other locations.
• [They] provide an overdue definition of street view imagery..."
#GIS #spatial #mapping #streetlevelimagery #Crowdsourcing #QualityAssessmentFramework #Heterogeneity #imagery #dataquality #metrics #QA #urban #cities #remotesensing #spatialanalysis #StreetView #Google #Mapillary #KartaView #commercial #crowsourced #opendata #consistency #standards #specifications #metadata #accuracy #precision #spatiotemporal #terrestrial #assessment
The Journal of Ocean University of China covers various branches of #MarineScience and #Technology, such as #Meteorology, #Environment sciences, life sciences, #Fishery sciences, #Food sciences, #Medication, #Chemistry, #Geology, #RemoteSensing, and #InformationTechnology: https://www.scienceopen.com/collection/JOceanUniversityChina
Enhancing Remote Sensing with FPGA-Based AI Acceleration
https://rackenzik.com/enhancing-remote-sensing-with-fpga-based-ai-acceleration/
#RemoteSensing #ComputerVision #FPGA #SmallTargetDetection #EdgeAI #SatelliteImaging #Drones #RealTimeProcessing #EnergyEfficientAI #DeepLearning #AIonFPGA #EnvironmentalMonitoring #DisasterResponse #AIEdgeComputing #TinyML #SmartSatellites #AIDrones #GeospatialAI #LowPowerAI #TechForGood
The SNAP 12 version from ESA has launched, but issues have arisen with JDK 21 and API changes affecting EOMasters Toolbox functionalities. I am addressing these and expect an update next week. A new Pro version feature is also coming, so stay tuned.
#earthobservation #remotesensing
Job - Alert 🌱
🌎 Research Scientist (f_m_x) in Data Science and Forest Disturbance Monitoring
Deadline: 2025-06-01
Location: Germany, Potsdam, Brandenburg
https://www.academiceurope.com/job/?id=7631
#hiring #DataScience #RemoteSensing #ForestMonitoring #EarthObservation #MachineLearning #geoinformatics
OnlineFirst - "Co-producing fisheries governance with new data technologies: Satellite tracking turtles and fishing vessels for co-management and marine protection" by Jasper Montana:
#remotesensing #marineconservation #politicalecology
https://journals.sagepub.com/doi/full/10.1177/25148486251337250
Work by Cluster member McKenzie Skiles is cited in this preprint.
Read "FCDAE: Fully Connected Deep Autoencoders for snow and glacier features classification from hyperspectral data": https://bit.ly/44XSTR1
What's New in #Imagery in #ArcGISPro (May 2025) https://tinyurl.com/4acjzjc9
#data #images #RemoteSensing #GIS #esri #arcgis #mapping #GISchat #geospatial #mapstodon @esri @arcgispro @esrifederalgovt @esrislgov @esritraining @urisa
LANDSAT At Work – Satellites Help Extinguish Wildfire Risk
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https://www.usgs.gov/centers/eros/news/landsat-work-satellites-help-extinguish-wildfire-risk <-- shared technical article
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https://www.landfire.gov/ <-- shared LandFire project page
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#GIS #spatial #mapping #fedscience #LANDFIRE #satellite #remotesensing #earthobservation #risk #hazard #fire #wildfire #mitigation #planning #management #spatialanalysis #spatiotemporal #model #modeling #economics #cost #weather #population #extremeweather #naturalhazard #landsat #next #satellite #NationalLandImaging #NLI #LandsatNext
@USGS @USDA @USFS @DOI @EROS
Advancements in Leaf Area Index Estimation for #Maize Using Modeling and #RemoteSensing Techniques: A Review
from Károly Bakó, Csaba Rácz, Tamás Dövényi-Nagy, Krisztina Molnár, Attila Dobos
https://doi.org/pjhb via Agronomy MDPI
#PlantScience
🌍 EvoLand partners gathered in 🇸🇮 Ljubljana for our 2nd Project Meeting hosted by Sinergise!
🛰️ We looked at methods development and prototypes on forests, agriculture, urban, water & general land cover taking shape!
🤝 Great collaboration across the board, thanks to all who joined in person & online!
#EvoLand #Copernicus #EarthObservation #HorizonEU #RemoteSensing #LandMonitoring #EUfunded
The Feasibility Of Using LiDAR-Derived Digital Elevation Models [DEMs] For Gravity Data Reduction
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https://www.usgs.gov/3d-elevation-program/news/feasibility-using-lidar-derived-digital-elevation-models-gravity-data <-- shared article
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https://pubs.usgs.gov/publication/ofr20251019 <-- shared report
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“A nice report from our colleagues in the USGS Mineral Resources Program on the feasibility of lidar-derived DEMs, including 3DEP data, for gravity data reduction…”
#GIS #spatial #mapping #3dep #elevation #fedscience #remotesensing #earthobservation #gravity #submetre #accuracy #precision #dGNSS #GNSS #global #navigation #satellite #GPS #LiDAR #DEMs #gravimetrics #milligals #Bouguer #anomaly #monitoring #corrleation #refinement #datareduction #appliedscience #usecases
@USGS
🚨 Few seats left for our LiDAR Data Analysis in R course with @micheletorresani 🛰️
📅 June 9–11
💻 Online | Hands-on with the lidR package
🌍 Perfect for ecologists, foresters & conservationists
🔗 https://physalia-courses.org/courses-workshops/lidar-r/
New Zealand's Major Cities Are Sinking
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https://www.forbes.com/sites/lauriewinkless/2025/04/16/new-zealands-major-cities-are-sinking/ <-- shared media article
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https://doi.org/10.1080/00288306.2025.2470435 <-- shared paper
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https://www.searise.nz/ <-- linked to NZ SeaRise project page
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https://searise.takiwa.co/map/6233f47872b8190018373db9/embed <-- NZ SeaRise web map
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#GIS #spatial #mapping #NewZealand #sealevel #sealevelrise #SLR #impacts #humanimpacts #land #subsidence #sinking #population #growth #risk #hazard #global #GMSL #coast #coastal #planning #management #mitigation #extremeweather #climatechange #cost #economics #infrastructure #spatialanalysis #spatiotemporal #model #modeling #remotesensing #earthobservation #sentinel #InSAR #urban #city #cities #reclamation #cut #fill #Holocene #engineeringgeology #kiwi #k1w1 #NZ #stormsurge
Call For Manuscript Submissions - Real-Time GIS For Disaster Management
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https://www.nature.com/collections/bjdhbfiadi/guest-editors <-- shared link to submission details
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[note that I have NO affiliation with this journal, the guest editors, etc]
[I wonder if anybody from FEMA has compiled use case / effectiveness / robustness on/of the #WaffleHouseIndex in the southern USA, especially related to hurricanes?]
#GIS #paper #mapping #spatial #manuscripts #callforpapers #callformanuscripts #submissions #callforsubmissions #realtime #disaster #management #mitigation #prevention #preparedness #response #recovery #risk #hazard #naturalhazard #naturalhazard #emergency #remotesensing #earthobservation #satellite #drone #sensor #socialmedia #WaffleHouseIndex #datasets #AI #InternetOfThings #research #monitoring #evacuation #planning #resourceallocation #hazardmapping #realworld #global
German Satellite Achieves First Simultaneous CO2 and NO2 Measurements from Power Plant Emissions
The newly developed approach allows scientists to directly measure #CO2 and #NO2 over individual power plants, providing critical data for understanding atmospheric processes and industrial #emissions. The findings, published in the journal Environmental Research Letters, demonstrate that EnMAP can effectively track emissions over distances of several tens of kilometers, a feat previously considered unfeasible for a satellite not explicitly designed for atmospheric measurements.
Power plants release CO2 and nitrogen oxides (NOx) as part of their regular operations, both of which significantly contribute to air pollution and climate change. CO2, a primary #GreenhouseGas, and NOx, a precursor to ground-level #ozone, have traditionally been challenging to monitor at high spatial resolutions from space.
Most satellite instruments lack the fine-scale detail required to distinguish individual emission sources against the background atmospheric concentrations. #EnMAP, however, overcomes these challenges with its unique capability to capture detailed 30 x 30 meter resolution imagery.
"Using the EnMAP data, we were able to determine the distribution of CO2 and NO2 in emission plumes from individual PowerPlants - for example, from facilities in #SaudiArabia and the South African #Highveld region, one of the world's largest emission hotspots," said Christian Borger, the study's first author and former postdoctoral researcher in the Satellite Remote Sensing Group at the Max Planck Institute for Chemistry. Borger now conducts research at the European Centre for Medium-Range Weather Forecasts (#ECMWF) in #Bonn.
