#Inundaciones Algunos jpg de las imágenes procesadas #Landsat #Sentinel2 #Resourcesat #Cbers4 #Modis #Sentinel1
Aida Alvera Azcarate antonio vecoli 🛰️🇪🇺#️⃣ Copernicus EU ADAM Platform Isabel Caballero de Frutos ((o))eco | Jornalismo Ambiental @inpe_mct @mctic @Astro_Pontes Group on Earth Observations (GEO) Sacani (Space Today) - AKA Gordão Foguetes Copernicus Land Monitoring Service Sérgio OSMsmaprs Lu🇵🇸 GIS and Beers Rob Mayeda Gilberto Camara José Roberto de Toledo UE no Brasil Sandi Walters Aida, you may want to check out our satellite images at instagram.com/dsr.inpe/
Below a #CBERS4 satellite AWFI 29/11/2019, 159_135, RGB151413, Rio Grande do Sul, Brazil.
Interpretation in english at
instagram.com/p/B5dAJKDg936/
Easy-to-use #Sentinel2 imagery upscaling for 'enhanced' resolution - using Convolutional Neural Networks. Super-pixel resolution for assisting image interpetation. Could works with similar resolution multispectral images (CBERS4/Landsat8 etc) 1/2
Data provided by @inpe_mct / DSR INPE #CBERS4 and European Space Agency #sentinel1 used to identify flooded areas in Japan, following #typhoonHagibis
Amazonia-1 satellite data is now on AWS! It joins CBERS4 and CBERS4A as part of the AWS Open Data program. The archive is indexed using a SpatioTemporal Asset Catalog server maintained by AMS Kepler on stac.amskepler.com/v100 (1/4)
A lot of new endpoints are available on STAC Index:
- Scott Henderson's AR S1 backscatter
- PGC (ArticDEM, EarthDEM, REMA)
- BrazilDataCube (CBERS4, S2)
- S3 L2/L3 on AWS
- Terrascope
So check out stacindex.org/catalogs for more...
@tyhwoh5 Disasters Charter @inpe_mct CNES Airbus Space You may also want to check out our #CBERS4 imagery we acquire regularly over Nigeria.
Free of charge at dgi.inpe.br/catalogo/