NASA Earthdata CMR2025 · collection
CBERS-4/PAN10M - Level-2-DNCBERS-4/PAN10M - Level-2 Digital Number. Level 2 products have radiometric correction and geometric correction using satellite ephemeris and attitude data (system correction).
NASA Earthdata CMR2025 · collection
CBERS-4/PAN5M - Level-2-DNCBERS-4/PAN5M - Level-2 Digital Number. Level 2 products have radiometric correction and geometric correction using satellite ephemeris and attitude data (system correction).
NASA Earthdata CMR2025 · collection
CBERS-4/WFI - Level-4-DNCBERS4/WFI - Level-4 Digital Number product. L4 product provides orthorectified images.
NASA Earthdata CMR2025 · collection
CBERS-4/PAN5M - Level-4-DNCBERS-4/PAN5M - Level-4 Digital Number. L4 product provides orthorectified images.
NASA Earthdata CMR2025 · collection
CBERS-4/MUX - Level-4-DNCBERS-4/MUX - Level-4 Digital Number product. L4 product provides orthorectified images.
NASA Earthdata CMR2025 · collection
CBERS-4/MUX - Level-2-DNCBERS-4/MUX - Level-2 Digital Number. Level 2 products have radiometric correction and geometric correction using satellite ephemeris and attitude data (system correction).
NASA Earthdata CMR2025 · collection
CBERS-4/WFI - Level-2-DNCBERS4/WFI - Level-2 Digital Number product. Level 2 products have radiometric correction and geometric correction using satellite ephemeris and attitude data (system correction).
NASA Earthdata CMR2025 · collection
CBERS-4/PAN10M - Level-4-DNCBERS-4/PAN10M - Level-4 Digital Number. L4 product provides orthorectified images.
NASA Earthdata CMR2024 · collection
LCC - Mato Grosso - CB4 64m 1M STKThis land cover classification refers to a study area in Mato Grosso state, in the Cerrado biome. For this map, the CBERS-4/WFI monthly data cube was used, with a spatial resolution of 64 meters, using the best pixel composition function named as Least Cloud Cover First (LCF), which was previously named Stack in BDC older versions. This experiment uses the time series of an agricultural calendar y
NASA Earthdata CMR2024 · collection
LCC - Goias - CB4 64m 1M STKThis land cover classification refers to a study area in Goiás state, in the Cerrado biome. For this map, the CBERS-4/WFI monthly data cube was used, with a spatial resolution of 64 meters, using the best pixel composition function named as Least Cloud Cover First (LCF), which was previously named Stack in BDC older versions. This experiment uses the time series of an agricultural calendar year, f
NASA Earthdata CMR2024 · collection
LCC - Bahia - CB4 64m 1M STKThis land cover classification refers to a study area in Bahia state, in the Cerrado biome. For this map, the CBERS-4/WFI monthly data cube was used, with a spatial resolution of 64 meters, using the best pixel composition function named as Least Cloud Cover First (LCF), which was previously named Stack in BDC older versions. This experiment uses the time series of an agricultural calendar year, f
NASA Earthdata CMR2024 · collection
CHARTER - PANThis collection contains images from the pancromatic sensor on board the satellite CBERS-4 over Brazil. The data is processed by the Disasters Charter and provided as Cloud Optimized GeoTIFF (COG). This products has three spectral bands: Green, Red and NIR.
NASA Earthdata CMR2024 · collection
CHARTER - MUXThis collection contains images from the CBERS-4/MUX over Brazil. The data is processed by the Disasters Charter and provided as Cloud Optimized GeoTIFF (COG). This products has four spectral bands: Blue, Green, Red and NIR.
NASA Earthdata CMR2024 · collection
CHARTER - WFIThis collection contains images from the WFI sensor onboard the satellites CBERS-4, CBERS-4A and AMAZONIA-1 over Brazil. The data is processed by the Disasters Charter and provided as Cloud Optimized GeoTIFF (COG). This products has four spectral bands: Blue, Green, Red and NIR.
NASA Earthdata CMR2024 · collection
CBERS-4/WFI Image Mosaic of Brazil - 3 MonthsCBERS-4/WFI image mosaic of Brazil with 64m of spatial resolution. The mosaic was prepared in order to demonstrate the technological capabilities of the Brazil Data Cube project tools. The false color composition is based on the WFI bands 15, 16 and 13 assigned to RGB channels. The temporal composition encompasses 03-months of images, starting in April 2020 and ending in June 2020, with a best pix
NASA Earthdata CMR2024 · collection
CBERS-4/MUX - Level-4-SR - Data Cube - LCF 2 monthsEarth Observation Data Cube generated from CBERS-4/MUX Level-4 SR product over Brazil extension. This dataset is provided in Cloud Optimized GeoTIFF (COG) file format. The dataset is processed with 20 meters of spatial resolution, reprojected and cropped to BDC_MD grid Version 2 (BDC_MD V2), considering a temporal compositing function of 2 months using the Least Cloud Cover First (LCF) best pixel
NASA Earthdata CMR2024 · collection
CBERS-4/WFI - Level-4-SR - Data Cube - LCF 16 daysEarth Observation Data Cube generated from CBERS-4/WFI Level-4 SR product over Brazil extension. This dataset is provided in Cloud Optimized GeoTIFF (COG) file format. The dataset is processed with 64 meters of spatial resolution, reprojected and cropped to BDC_LG grid Version 2 (BDC_LG V2), considering a temporal compositing function of 16 days using the Least Cloud Cover First (LCF) best pixel a
NASA Earthdata CMR2024 · collection
CBERS/WFI - Level-4-SR - Data Cube - LCF 8 daysEarth Observation Data Cube generated from CBERS-4/WFI and CBERS-4A/WFI Level-4 SR products over Brazil extension. This dataset is provided in Cloud Optimized GeoTIFF (COG) file format. The dataset is processed with 64 meters of spatial resolution, reprojected and cropped to BDC_LG grid Version 2 (BDC_LG V2), considering a temporal compositing function of 8 days using the Least Cloud Cover First (
NASA Earthdata CMR2024 · collection
CBERS-4/MUX - Level-4-SR - Cloud Optimized GeoTIFFCBERS-4/MUX - Level-4 Surface Reflectance product over Brazil and part of South America. L4 SR product provides orthorectified surface reflectance images. This dataset is provided as Cloud Optimized GeoTIFF (COG).
NASA Earthdata CMR2024 · collection
CBERS-4/WFI - Level-4-SR - Cloud Optimized GeoTIFFCBERS-4/WFI Surface Reflectance product over Brazil and part of South America. L4 SR product provides orthorectified surface reflectance images. This dataset is provided as Cloud Optimized GeoTIFF (COG).
NASA Earthdata CMR2015 · collection
CBERS-4 Multispectral 10 Meters Camera ImageryCBERS-4 Multispectral 10 Meters Camera. This camera is built under China responsibility. It is a panchromatic camera with 4 spectral bands: B02: 0,52 - 0,59 ?m B03: 0,63 - 0,69 ?m B04: 0,77 - 0,89 ?m The ground resolution is 10 m and the ground swath width is 60 km. A complete coverage cycle of the panchromatic camera takes 52 days.
NASA Earthdata CMR2015 · collection
CBERS-4 Infrared Medium Resolution Scanner ImageryInfrared Medium Resolution Scanner. This camera is built under China responsibility and it is an upgrade of the Infrared Multispectral Scanner (IRMSS) of the CBERS-1 and 2 satellites. It has 4 spectral bands: B09: 0,50 - 0,90 ?m B10: 1,55 - 1,75 ?m B11: 2,08 - 2,35 ?m B12: 10,4 - 12,5 ?m Its spatial resolution is 40 meters in the panchromatic and SWIR (shortwave infrared) bands and 80 meters in th
NASA Earthdata CMR2015 · collection
Panchromatic (CBERS 4) ImageryCBERS-4 Panchromatic Camera. This camera is built under China responsibility. It is a panchromatic camera with one spectral band covering the wavelength range from from 510 nm to 850 nm, with a ground resolution of 5 m and a ground swath width of 60 km. A complete coverage cycle of the panchromatic camera takes 52 days.
NASA Earthdata CMR2015 · collection
MUX - MultiSpectral Camera (CBERS 4) ImageryCBERS-4 MUX - Multispectral Camera. This camera is built under Brazilian responsibility. It is a multispectral camera with four spectral band covering the wavelength range from blue to near infrared (from 450 nm to 890 nm) with a ground resolution of 20 m and a ground swath width of 120 km A complete coverage cycle of the MUX camera takes 26 days.
NASA Earthdata CMR2015 · collection
AWFI - Wide Field Imaging Camera (CBERS 4) ImageryThe WFI - Wide Field Camera camera can make quick revisits to a certain area - usually in less than five days, aiming at support monitoring and surveillance activities. It complements other sensors with more revisit capability (e.g. AVHRR/NOAA or MODIS/Terra and Aqua), sensors with lower revisit capacity such as TM/Landsat, and the other CBERS-4 cameras. It has 4 4pectral bands: 0,45-0,52?m (B) 0,