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Using the NASA EOSDIS Common Metadata Repository

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  • CBERS/WFI - Level-4-SR - Data Cube - LCF 8 days

    https://cmr.earthdata.nasa.gov/search/concepts/C3108204417-INPE.xml
    Description:

    Earth 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 (LCF) best pixel approach.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -36.733211 -76.2226604 6.013904 -32.761135

    INPE Short Name: CBERS-WFI-8D-1 Version ID: NA Unique ID: C3108204417-INPE

  • CBERS-4/MUX - Level-4-SR - Data Cube - LCF 2 months

    https://cmr.earthdata.nasa.gov/search/concepts/C3108204197-INPE.xml
    Description:

    Earth 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 approach.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -34.6755646 -75.9138367 5.9260044 -27.9114219

    INPE Short Name: CBERS4-MUX-2M-1 Version ID: NA Unique ID: C3108204197-INPE

  • CBERS-4/WFI - Level-4-SR - Data Cube - LCF 16 days

    https://cmr.earthdata.nasa.gov/search/concepts/C3108204143-INPE.xml
    Description:

    Earth 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 approach.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -36.7332109 -76.2226604 6.0139036 -32.7611351

    INPE Short Name: CBERS4-WFI-16D-2 Version ID: NA Unique ID: C3108204143-INPE

  • AWFI - Wide Field Imaging Camera (CBERS 4) Imagery

    https://cmr.earthdata.nasa.gov/search/concepts/C2227456150-CEOS_EXTRA.xml
    Description:

    The 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) 0,52-0,59?m (G) 0,63-0,69?m (R) 0,77-0,89?m (NIR). The swath width is 866 km, the spatial resolution is 64 m on nadir and the image data bit rate is 50 Mbit/s.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -45 -180 10 180

    CEOS_EXTRA Short Name: INPE_CBERS4_AWFI Version ID: 1 Unique ID: C2227456150-CEOS_EXTRA

  • CBERS-4 Infrared Medium Resolution Scanner Imagery

    https://cmr.earthdata.nasa.gov/search/concepts/C2227456152-CEOS_EXTRA.xml
    Description:

    Infrared 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 the thermal band. A complete coverage cycle of the panchromatic camera takes 26 days.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -45 -180 10 180

    CEOS_EXTRA Short Name: INPE_CBERS4_IRS Version ID: 1 Unique ID: C2227456152-CEOS_EXTRA

  • MUX - MultiSpectral Camera (CBERS 4) Imagery

    https://cmr.earthdata.nasa.gov/search/concepts/C2227456083-CEOS_EXTRA.xml
    Description:

    CBERS-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.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -45 -180 10 180

    CEOS_EXTRA Short Name: INPE_CBERS4_MUX Version ID: 1 Unique ID: C2227456083-CEOS_EXTRA

  • CBERS-4 Multispectral 10 Meters Camera Imagery

    https://cmr.earthdata.nasa.gov/search/concepts/C2227456075-CEOS_EXTRA.xml
    Description:

    CBERS-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.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -45 -180 10 180

    CEOS_EXTRA Short Name: INPE_CBERS4_PAN10M Version ID: 1 Unique ID: C2227456075-CEOS_EXTRA

  • Panchromatic (CBERS 4) Imagery

    https://cmr.earthdata.nasa.gov/search/concepts/C2227456077-CEOS_EXTRA.xml
    Description:

    CBERS-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.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -45 -180 10 180

    CEOS_EXTRA Short Name: INPE_CBERS4_PAN5M Version ID: 1 Unique ID: C2227456077-CEOS_EXTRA

  • LCC - Goias - CB4 64m 1M STK

    https://cmr.earthdata.nasa.gov/search/concepts/C3560374647-INPE.xml
    Description:

    This 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, from September 2018 to August 2019, extracted from the CBERS-4/WFI data cube. The input datacube was CBERS-4 (WFI) Cube Identity - v001, which was deprecated. The classification was made using 701 samples (Annual Crop: 299; Natural: 202; Pasture: 200) and the following data cube bands: red, green, blue, and near-infrared (NIR) along with the NDVI and EVI indices. We trained a multi-layer perceptron for a deep learning classification network to classify the data cube using sits R package. This product was funded by the Brazilian Development Bank (BNDES).

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -18.0627211 -51.4518732 -16.1392101 -48.1743518

    INPE Short Name: LCC_C4_64_1M_STK_GO_PA-SPC-AC-NA-1 Version ID: NA Unique ID: C3560374647-INPE

  • LCC - Mato Grosso - CB4 64m 1M STK

    https://cmr.earthdata.nasa.gov/search/concepts/C3560374476-INPE.xml
    Description:

    This 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 year, from September 2018 to August 2019, extracted from the CBERS-4/WFI data cube. The input datacube was CBERS-4 (WFI) Cube Identity - v001, which was deprecated. The classification was made using 852 samples (Annual Crop: 257; Natural Vegetation: 245; Pasture: 216; Semi-Perennial Crop: 134) and the following data cube bands: bands red, green, blue, and near-infrared along with the EVI, NDVI, GEMI, GNDVI, NDWI2, PVR indices. We trained a multi-layer perceptron for a deep learning classification network to classify the data cube using sits R package. This product was funded by the Brazilian Development Bank (BNDES).

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -18.0627213 -54.7288184 -16.1088091 -51.4374302

    INPE Short Name: LCC_C4_64_1M_STK_MT_PA-SPC-AC-NA-1 Version ID: NA Unique ID: C3560374476-INPE