BR/INPE
This land cover classification refers to a study area in Bahia state, in the Cerrado biome. For this map, the Sentinel-2 monthly data cube was used, with a spatial resolution of 10 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 Sentinel-2 data cube. The classification was made using 922 samples (Pasture: 258; Agriculture: 242; Natural Vegetation: 422). The spectral band used were B01, B02, B03, B04, B05, B06, B07, B08, B8A, B11, and B12 along with the vegetation indices EVI and NDVI; the clouded observation were identified using the Fmask4 algorithm and estimated using linear interpolation. We trained a multi-layer perceptron for a deep learning classification network to classify the data cube using sits R package. Validation was done using good practice guidelines by Olofsson. The validation was done independently for each map using the PRODES Cerrado data of 2019. This data obtained overall accuracy (OA) 0.87. For more information see the paper Earth Observation Data Cubes for Brazil: Requirements, Methodology and Products. This product was funded by the Brazilian Development Bank (BNDES).
LCC - Bahia - S2 10m 1M STK
EARTH SCIENCE SERVICES>MODELS>MACHINE LEARNING MODELS>CLASSIFICATION
EARTH SCIENCE>SPECTRAL/ENGINEERING>VISIBLE WAVELENGTHS
EARTH SCIENCE>HUMAN DIMENSIONS>ENVIRONMENTAL GOVERNANCE/MANAGEMENT>LAND MANAGEMENT>LAND USE/LAND COVER CLASSIFICATION
EARTH SCIENCE>LAND SURFACE>LAND USE/LAND COVER>LAND USE CLASSES
Sentinel-2 MSI
MSI
classification
sentinel
thematic
cloud optimized geotiff
cog
earth observation
brazil
machine learning
mlp
land use/land cover classification
land use classes
msi

ESA/ESRIN
Copernicus Sentinel-2/MSI Level-1C product over Brazil. Level-1C product provides orthorectified Top-Of-Atmosphere (TOA) reflectance images.
Sentinel-2 - Level-1C
EARTH SCIENCE>SPECTRAL/ENGINEERING>VISIBLE WAVELENGTHS
EARTH SCIENCE>ATMOSPHERE
Sentinel-2 MSI
MSI
sentinel
msi
top of atmosphere reflectance
earth observation
brazil

ESA/ESRIN
Sentinel-2 image mosaic of Brazilian Amazon biome with 10m of spatial resolution. The mosaic was prepared to support BiomasBR Program to produce The European Union LandMark Deforestation Map 2020. The false color composition is based on the MSI bands 11, 8 and 4 assigned to RGB channels. The temporal composition encompasses 01-month of images from december 2020, with a best pixel selection approach called Least Cloud Cover First (LCF). More information on LCF can be found at Brazil Data Cube web site This Image Mosaic used more than 15000 Sentinel-2 scenes and was generated based on an existing data cube of Sentinel-2 images.
S2 1M Amazon Biome Mosaic
EARTH SCIENCE>SPECTRAL/ENGINEERING>VISIBLE WAVELENGTHS
EARTH SCIENCE>BIOSPHERE>ECOSYSTEMS
Sentinel-2 MSI
MSI
mosaic
msi
visible wavelengths
biome
amazon
cloud optimized geotiff
cog
earth observation
brazil

ESA/ESRIN
Sentinel-2 image mosaic of Brazil with 10m of spatial resolution. More information on LCF can be found at Brazil Data Cube web site
Sentinel-2 image Mosaic of Brazil - 3 Months
EARTH SCIENCE>SPECTRAL/ENGINEERING>ULTRAVIOLET WAVELENGTHS
EARTH SCIENCE>BIOSPHERE>ECOSYSTEMS
mosaic
visible wavelengths
ultraviolet wavelengths
biome
amazon
cloud optimized geotiff
cog

Sentinel-2 image mosaic of Brazilian Amazon biome with 10m of spatial resolution. The mosaic was prepared in support of TerraClass project. The false color composition is based on the MSI bands 08, 04 and 03 assigned to RGB channels. The temporal composition encompasses 03-months of images, starting in june 2024 and ending in August 2024, with a best pixel selection approach called Least Cloud Cover First (LCF). More information on LCF can be found at Brazil Data Cube web site This Image Mosaic used more than 15000 Sentinel-2 scenes and was generated based on an existing data cube of Sentinel-2 images.
S2 3M B08B04B03 Amazon Biome Mosaic
EARTH SCIENCE>SPECTRAL/ENGINEERING>ULTRAVIOLET WAVELENGTHS
EARTH SCIENCE>BIOSPHERE>ECOSYSTEMS
mosaic
visible wavelengths
ultraviolet wavelengths
biome
amazon

BR/INPE
Kd data generated based Semi-Analytical Algorithm developed by Maciel et al. (2020) (https://doi.org/10.1016/j.isprsjprs.2020.10.009). The underwater light field modeling is essential for the understanding of biogeochemical processes, such as photosynthesis, carbon fluxes, and sediment transports in inland waters. Water-column light attenuation can be quantified by the diffuse attenuation coefficient of the downwelling irradiance (Kd). This dataset represents the Kd estimate for a Sentinel-2/MSI time-series at Curuai Lake region - Lower Amazon floodplains. This time-series data was generated for 66 Sentinel-2/MSI scenes (08/2015 to 09/2019) during the research paper titled Mapping of diffuse attenuation coefficient in optically complex waters of amazon floodplain lakes. This product was funded by the Brazilian Development Bank (BNDES), Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).
KD - Curuai - S2 20m VisBands
EARTH SCIENCE SERVICES>MODELS>MACHINE LEARNING MODELS>CLASSIFICATION
EARTH SCIENCE SERVICES>MODELS>MACHINE LEARNING MODELS>NEURAL NETWORKS
classification
sentinel
thematic
diffuse attenuation
light attenuation
optically complex waters
neural networks

Copernicus Sentinel-2/MSI Level-2A product over Brazil. Level-2A product provides orthorectified surface reflectance images (Bottom-Of-Atmosphere - BOA).
Sentinel-2 - Level-2A
EARTH SCIENCE>LAND SURFACE>SURFACE RADIATIVE PROPERTIES>REFLECTANCE
surface reflectance

Optical data from the Copernicus Contributing Missions (CCM) consist of high-resolution satellite imagery provided by commercial mission operators. These datasets support the Copernicus programme in areas such as land monitoring, emergency response, security, and marine environment. The imagery covers a broad spectral range and is tailored for diverse operational and analytical applications.
Copernicus Contributing Missions Optical
EARTH SCIENCE>CRYOSPHERE>SNOW/ICE>REFLECTANCE
EARTH SCIENCE>SPECTRAL/ENGINEERING>INFRARED WAVELENGTHS
ALOS
PlanetScope
QUICKBIRD
RAPIDEYE
REIS
GIS
HiRAIS
HRVIR
NAOMI
PRISM
RapidEye
PlanetScope Camera
BGI
HRG
Copernicus
ESA
EU
Imagery
Optical
Reflectance
Satellite
CCM
planetscope
rapideye
aeiss
awf
bgi
dem
dove
gis
hirais
hr
hrg
hrv
hrvi
hrvir
naomi
opt
prism
rsi
vhri

EC
The Sentinel-2 GRI L1C GCP STAC collection is a database of L1C-geometry image chips (B04, red band) anchored at Ground Control Point (GCP) locations, derived from the Multi-Layer L1B GRI using radiometric and geometric filtering.
Sentinel-2 GRI L1C GCP
ESA
EU
Global
Sentinel
GCP

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
See the referenced specification
Boeretang 200
Belgium
Flemish Institute of Technological Research (VITO) - Belgium
Imagery Base Maps Earth Cover
The ESA WorldCover product is a global land cover map with 11 land cover classes. WorldCover provides worldwide coverage at 10 meters and is provided per 3 x 3 degree tile. Note that ocean areas and inner ice sheets do not have tiles. Data is provided as Cloud Optimized GeoTIFFs. The ESA WorldCover product has been produced by a consortium lead by VITO (Belgium) together with Brockmann Consult (Germany), CS SI (France), Gamma Remote Sensing AG (Switzerland), International Institute for Applied Systems Analysis (Austria) and Wageningen University (The Netherlands). Naming convention: ESA_WorldCover_10m_[YEAR]_[VERSION]_[TILE]_[LAYER].tif/ * [YEAR] indicates the reference year (observation period) in four digits. * [VERSION] shows the product version. The version denoted as vMmr (e.g. v201), with âMâ representing the major version (e.g. v2), âmâ the minor version (starting from 0) and ârâ the production run number (starting from 1) * [TILE] the designation of the 3 x 3 degree tile, composed of the 2-digit latitude and 3-digit longitude of the lower-left corner. Example: N19W100 for the tile covering the area from 100W to 99W and 19N to 20N. For example: ESA_WorldCover_10m_2020_v100_N19W100_Map.tif/
ESA WorldCover 10 meter Land Cover Map 2020 on AWS
ESA WorldCover products are available on a free basis for the general public under the terms and conditions of the Licence found at https://creativecommons.org/licenses/by/4.0/. The products contain modified Copernicus Sentinel data 2020 see
Produced by VITO using Sentinel-1 and Sentinel-2 data obtained from AWS. For more info please contact VITO.
EARTH SCIENCE>LAND SURFACE>LAND USE/LAND COVER
EARTH SCIENCE>SPECTRAL/ENGINEERING>RADAR
C-SAR
"ESA WorldCover products are available on a free basis for the general public under the terms and conditions of the Licence found at https://creativecommons.org/licenses/by/4.0/. The products contain modified Copernicus Sentinel data 2020 see
Land Cover
Space
Remote Sensing
ESA Worldcover
Environment
WorldCoverMap
VITO