#DLR:
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DLR unterstützt das Waldbrandmonitoring in Chile
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".. Das DLR hat im Rahmen der Internationalen Charta für Weltraum und Naturkatastrophen Daten der deutschen hyperspektralen Satellitenmission EnMAP von den Katastrophengebieten aufgenommen und ausgewertet. .."
28.1.2026
#Chile #EnMAP #EO #Erdbeobachtung #Feuer #Satelliten #Rauch #Raumfahrt #SpaceFlight #Waldbrand
European Geosciences Union: Assessing the Detection of Methane Plumes in Offshore Areas Using High-Resolution Imaging Spectrometers (21 Oct 2025) - https://amt.copernicus.org/articles/18/5545/2025/
This is a brilliant article using data from space-based spectrometers #EnMAP and #EMIT to detect and quantify #methane plumes offshore.
The oceans' low reflectivity makes detection harder, but using data when solar light is reflected to the sensor works as well as land.
Abstract. The offshore oil and gas industry is an important contributor to global anthropogenic methane emissions. Satellite-based, high-resolution imaging spectrometers are showing a great potential for the detection of methane emissions over land. However, the use of the same methods over offshore oil and gas extraction basins is challenged by the low reflectance of water in the near- and shortwave infrared spectral windows used for methane retrievals. This limitation can be partly alleviated by data acquisitions under the so-called sun glint configuration, which enhances the at-sensor radiance. In this work, we assess the performance of two space-based imaging spectrometers, EnMAP and EMIT, for the detection of offshore methane plumes applying the matched filter method. We use simulated plumes to generate parametric probability of detection (POD) models for a range of emission flux rates (Q), at-sensor radiances and wind speeds. The POD models were confronted with real plume detections for the two instruments. Our analysis shows that the spatial resolution of the instrument and the at-sensor radiance (which drives the retrieval precision) are the two factors with the greatest impact on plume POD. We also evaluate the dependence of the at-sensor radiance on the illumination-observation geometry and the surface roughness. Our POD models properly represent the different trade-offs between spatial resolution and retrieval precision in EnMAP and EMIT. As an example, for most combinations of Q and wind speed values at POD = 50 %, EMIT demonstrates better detection performance at Q>7 t h−1, whereas EnMAP performs better at Q<7 t h−1. This study demonstrates the ability of these two satellite instruments to detect high-emitting offshore point sources under a range of different conditions. By filtering data based on these conditions, methane emission detection and monitoring efforts can be optimized, reducing unnecessary searches and ultimately increasing the action taken on these emissions.
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#OHB:
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Hyperspektrale Zukunft: Satellitendaten für eine smarte Landwirtschaft
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"OHB demonstriert im DLR-Projekt HyLAP wie Grünland und Zuckerrüben aus dem All besser überwacht werden können"
https://www.ohb.de/news/hyperspektrale-zukunft-satellitendaten-fuer-eine-smarte-landwirtschaft
22.8.2025
#CHIME #DLR #EnMAP #EO #Erdbeobachtung #Grünland #HyLAP #KWS #LSTM #Raumfahrt #Satelliten #SpaceFlight #Zuckerrübe
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#EnliteIAS #EnMAP #EnMAPPlus #UPSC2025 #UPSCMains #UPSC #IAS #CivilServices #IASCoaching #UPSCPreparation #UPSCAspirants
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.
Berlin, Germany (SPX) May 12, 2025 - A research team from the Max Planck Institute for Chemistry in Mainz and Heidelberg University has achieved a significant breakthrough, using the German environmental satellite EnMAP (Environmental
🛰️ That’s a wrap! The 2nd EnMAP User Workshop brought 3 packed days of talks, posters & hands-on tutorials —exploring how EnMAP data supports research on vegetation, water, soil & atmosphere.
Highlights included hands-on tutorials, lively garden chats, and an exclusive look behind the scenes at @DLR & #ohb
Thanks to all who joined, shared, and inspired! 🌍🚀 #EnMAP #RemoteSensing #EarthObservation #Geography #Hyperspectral #DLR #LMU #CHIME #EnvironmentalScience #research #science #news
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