Sebastian Büttrich @ ITU#china #satellite program #spacesail progress ...
#spacex plundering hoax ... aka #IPO #spacexIpo
https://restofworld.org/2026/spacesail-spacex-starlink-competition-ipo/
MPI for Gravitational PhysicsMilestone for climate research satellite mission NGGM
Researchers at @mpi_grav have developed the engineering model of the Instrument Control Unit (ICU) for the scientific payload of the European Space Agency’s Next Generation Gravity Mission (NGGM). Now, they have successfully completed the ICU's final performance verification campaign.
ℹ️ https://www.aei.mpg.de/1458992/milestone-for-climate-research-satellite-mission
Scheduled for launch in 2032, NGGM will continue and extend the heritage of the GRACE satellite missions. From a low Earth orbit, it will observe critical indicators of climate change. Together with GRACE-C, NGGM will observe changes of the Earth’s gravity field much more rapidly and clearly.
@mpi_grav researchers leverage their decades of experience to foster synergies between space-based gravitational-wave observation and Earth observation. They are contributing to three future satellite missions: GRACE-C, NGGM, and LISA.
#climate #ClimateChange #NGGM #satellite #spaceflight #physics #research
Orbital Radar🔭 Tracking Deep Space Probes: Voyager, JWST, and Beyond
Discover how the Orbital Radar deep space probe tracker monitors humanity's most distant spacecraft, including Voyager and JWST.
https://orbitalradar.com/blog/deep-space-tracker-guide
#Satellite #SpaceTech #EarthObservation #deepspace #spaceprobes
Earth Selfie BotThe Earth on Friday, 12 June 2026 at 03:00 UTC by JMA Himawari-9. #Earth #Satellite
💧🌏 Greg CocksUrban Flood Observations [UFO] - A Hand-Labeled Training And Validation Dataset Of Post-Flood Inundation
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https://doi.org/10.48550/arXiv.2604.23066 <-- shared paper
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https://zenodo.org/records/19698577 <-- shared dataset
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H/T @Rohit Mukherjee
“UFO includes 215 high-resolution PlanetScope image chips and corresponding labels from 14 global flood events, with a focus on urban environments. The labels capture visible surface water in post-flood scenes.
Labeling floods from space is hard, especially in urban areas. Building shadows, narrow channels, wet soil, complex drainage features, and mixed pixels all make it difficult. [They] spent a lot of time refining the labels, and [they] think they can be useful for benchmarking flood-mapping methods and for training flood models (if you have PlanetScope access).
As an initial benchmark, [they have] trained a SegFormer model on the dataset and achieved a mean IoU of 77.3% under leave-one-event-out validation, where each flood event was held out entirely from training…”
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“Urban flooding affects lives and infrastructure worldwide. Mapping inundation in complex urban environments from satellite imagery remains challenging due to limited spatial resolution, infrequent acquisitions, and cloud cover. [They] present Urban Flood Observations (UFO), a global, hand-labeled dataset of post-flood inundation in diverse urban settings. UFO comprises 215 image chips (1024 by 1024 pixels) from 14 flood events between 2017 and 2021, derived from 3 metre PlanetScope imagery. Each chip is annotated with two classes: 'inundated' (all visible surface water, including floodwater and pre-existing water bodies (permanent or seasonal)) and 'non-inundated'. To demonstrate the dataset's utility, [they have] trained a segmentation model using leave-one-event-out cross-validation, achieving a mean Intersection over Union (IoU) of 77.3. [They] also used UFO to evaluate two widely used surface water products, the Sentinel-1-based NASA IMPACT model and Google's 10 m Dynamic World water class, which yielded IoUs of 44.1 and 48.1, respectively. UFO is publicly available to support the development and validation of urban inundation mapping methods…”
#UrbanFloodObservations #Urban #Flood #Observations #flooding #UFO #PlanetScope #remotesensing #GIS #spatial #mapping #opensource #opendata #floodmapping #model #modeling #floodmodels #infrastructure #water #hydrology #extremeweather #hydrography #humanimpacts #cost #economics #risk #hazard #segmentationmodel #elevation #topography #surfacewater #satellite #senteniel #IMPACT #testcases
--
https://doi.org/10.48550/arXiv.2604.23066 <-- shared paper
--
https://zenodo.org/records/19698577 <-- shared dataset
--
H/T @Rohit Mukherjee
“UFO includes 215 high-resolution PlanetScope image chips and corresponding labels from 14 global flood events, with a focus on urban environments. The labels capture visible surface water in post-flood scenes.
Labeling floods from space is hard, especially in urban areas. Building shadows, narrow channels, wet soil, complex drainage features, and mixed pixels all make it difficult. [They] spent a lot of time refining the labels, and [they] think they can be useful for benchmarking flood-mapping methods and for training flood models (if you have PlanetScope access).
As an initial benchmark, [they have] trained a SegFormer model on the dataset and achieved a mean IoU of 77.3% under leave-one-event-out validation, where each flood event was held out entirely from training…”
--
“Urban flooding affects lives and infrastructure worldwide. Mapping inundation in complex urban environments from satellite imagery remains challenging due to limited spatial resolution, infrequent acquisitions, and cloud cover. [They] present Urban Flood Observations (UFO), a global, hand-labeled dataset of post-flood inundation in diverse urban settings. UFO comprises 215 image chips (1024 by 1024 pixels) from 14 flood events between 2017 and 2021, derived from 3 metre PlanetScope imagery. Each chip is annotated with two classes: 'inundated' (all visible surface water, including floodwater and pre-existing water bodies (permanent or seasonal)) and 'non-inundated'. To demonstrate the dataset's utility, [they have] trained a segmentation model using leave-one-event-out cross-validation, achieving a mean Intersection over Union (IoU) of 77.3. [They] also used UFO to evaluate two widely used surface water products, the Sentinel-1-based NASA IMPACT model and Google's 10 m Dynamic World water class, which yielded IoUs of 44.1 and 48.1, respectively. UFO is publicly available to support the development and validation of urban inundation mapping methods…”
#UrbanFloodObservations #Urban #Flood #Observations #flooding #UFO #PlanetScope #remotesensing #GIS #spatial #mapping #opensource #opendata #floodmapping #model #modeling #floodmodels #infrastructure #water #hydrology #extremeweather #hydrography #humanimpacts #cost #economics #risk #hazard #segmentationmodel #elevation #topography #surfacewater #satellite #senteniel #IMPACT #testcases
The Earth on Thursday, 11 June 2026 at 21:10 UTC by NOAA GOES-18 over the Pacific Ocean. #Earth #Satellite
tech news ᳇ eicker.news#Iceye, a Finnish #satellite #startup, has raised over €1 billion in a Series F funding round, valuing the company at €10 billion. The funding will be used to accelerate production and meet growing demand for Iceye’s #spaceintelligence systems, which are being used for #defence and #communications purposes. The company has contracts with seven European countries and NATO, and is working to double its satellite production to 100 per year by 2028. https://resiliencemedia.co/iceye-the-finnish-satellite-startup-nabs-e1b-at-a-e10b-valuation-amid-growing-demand-for-space-intel/?eicker.news #tech #media #news
The Earth on Thursday, 11 June 2026 at 17:00 UTC by NOAA GOES-19 over the Americas. #Earth #Satellite
2tout2rienCe qu’une photo satellite des lumières dans le monde raconte de l’humanité
https://2tout2rien.fr/photo-satellite-des-lumieres-dans-le-monde-terre-de-nuit/
#InsoliteDivers
#aérien #ciel #lumière #monde #NASA #nuit #satellite #terre #vidéo
https://2tout2rien.fr/photo-satellite-des-lumieres-dans-le-monde-terre-de-nuit/
#InsoliteDivers
#aérien #ciel #lumière #monde #NASA #nuit #satellite #terre #vidéo
3i/AtlasTilebox Launches Verifiable AI Workflows for Satellite Data
https://atlas.whatip.xyz/post.php?slug=tilebox-launches-verifiable-ai-workflows-for-satellite-data
Quick take: <p>DOVER
#verifiable #workflows #satellite #launches
https://atlas.whatip.xyz/post.php?slug=tilebox-launches-verifiable-ai-workflows-for-satellite-data
Quick take: <p>DOVER
#verifiable #workflows #satellite #launches