AndreaBozzo/ceres-open-data-index huggingface dataset:
CLMS Lake Ice Extent (LIE) Europe 250m daily V2 (COG)

On a daily basis, classifies pixels of Continental Europe freshwater bodies as 1) Fully snow-covered ice, 2) Partially snow-covered or snow-free ice, and 3) Open water. The data is available in near real time in a spatial resolution of 250 m and with the temporal extent from July 2024 to present, derived from NOAA-20 VIIRS.
CLMS Lake Ice Extent (LIE) Baltic 250m daily V1 (NetCDF)

On daily basis for Northern Europe classifies, in pixels, inland/freshwater bodies as 1) Fully snow-covered ice, 2) Partially snow-covered or snow-free ice, 3) Open water. The data is available in near real time in the spatial resolution of 250 m and with the temporal extent from March 2017 to June 2024.
CLMS Lake Ice Extent (LIE) Baltic 250m daily V1 (COG)

On daily basis for Northern Europe classifies, in pixels, inland/freshwater bodies as 1) Fully snow-covered ice, 2) Partially snow-covered or snow-free ice, 3) Open water. The data is available in near real time in the spatial resolution of 250 m and with the temporal extent from March 2017 to June 2024.
CLMS Land Cover Map (LCM) Global 10m yearly V1 (COG)

Provides at global level information on different types (classes) of physical coverage of the Earth's surface, e.g. tree cover, grasslands, croplands, permanent water bodies, wetlands at 10 m spatial resolution for the 2020 base year. The data are updated annually and will be available for the 2020-2026 years. This dataset builds upon initiatives like the 100 m Copernicus Global Land Cover layers (2015-2019) and offers enhanced spatial detail that facilitates more effective monitoring of global land cover changes, including deforestation, urbanization, and other environmental transformations.
CLMS Land Cover (LC) Global 100m yearly V3 (COG)

The Dynamic Land Cover product provides a primary land cover scheme at three classification levels with class definitions according to the Land Cover Classification System (LCCS) scheme. This Collection 3 includes global land cover maps at 100 m resolution for base year 2015 and subsequent years until 2019, including a base classification with 23 classes, versatile fractional cover layers and forest type information.
CLMS Gross Dry Matter Productivity (GDMP) Global 300m 10-daily V2 (NetCDF)

Represents the total amount of dry matter produced by land plants per unit time through photosynthesis without taking plant respiration into account. Equivalent to ecosystem Gross Primary Production (GPP) but expressed in kg of Dry Matter per hectare and per day (kg DM/ha/day). Every 10-days estimates are available in near real time at global scale in the spatial resolution of about 300 m from January 2014 to the present.
CLMS Gross Dry Matter Productivity (GDMP) Global 300m 10-daily V2 (COG)

Represents the total amount of dry matter produced by land plants per unit time through photosynthesis without taking plant respiration into account. Equivalent to ecosystem Gross Primary Production (GPP) but expressed in kg of Dry Matter per hectare and per day (kg DM/ha/day). Every 10-days estimates are available in near real time at global scale in the spatial resolution of about 300 m from January 2014 to the present.
CLMS Evapotranspiration (ETA) Global 300m 10-daily V1 (COG)

Provides actual evapotranspiration, soil evaporation and canopy transpiration with some quality indicators. Estimates are provided for two evapotranspiration schemes and an Ensemble of models. The 10-daily estimates are available at global scale in the spatial resolution of 300 m from November 2025 to present, derived from Sentinel-3 OLCI and SLSTR data.
CLMS Dry Matter Productivity (DMP) Global 300m 10-daily V2 (NetCDF)

Represents the overall growth rate, or dry biomass increase, of the vegetation. It is directly related to ecosystem Net Primary Production (NPP) but expressed in kg of Dry Matter per hectare and per day (kg DM/ha/day). Every 10-days estimates are available in near real time at global scale in the spatial resolution of about 300 m from January 2014 to the present.
CLMS Dry Matter Productivity (DMP) Global 300m 10-daily V2 (COG)

Represents the overall growth rate, or dry biomass increase, of the vegetation. It is directly related to ecosystem Net Primary Production (NPP) but expressed in kg of Dry Matter per hectare and per day (kg DM/ha/day). Every 10-days estimates are available in near real time at global scale in the spatial resolution of about 300 m from January 2014 to the present.
CLMS Dry Matter Productivity (DMP) Global 300m 10-daily V1 (NetCDF)

Represents the overall growth rate or dry biomass increase of the vegetation and is directly related to ecosystem Net Primary Production (NPP), however with units customized for agro-statistical purposes (kg/ha/day). Every 10-days estimates are available in near real time at global scale in the spatial resolution of about 300 m from January 2014 to June 2020 based upon PROBA-V data with version 1.0 and from July 2020 onwards based upon Sentinel-3/OLCI data with version 1.1.
CLMS Dry Matter Productivity (DMP) Global 300m 10-daily V1 (COG)

Represents the overall growth rate or dry biomass increase of the vegetation and is directly related to ecosystem Net Primary Production (NPP), however with units customized for agro-statistical purposes (kg/ha/day). Every 10-days estimates are available in near real time at global scale in the spatial resolution of about 300 m from January 2014 to June 2020 based upon PROBA-V data with version 1.0 and from July 2020 onwards based upon Sentinel-3/OLCI data with version 1.1.
CLMS Dry Matter Productivity (DMP) Global 1km 10-daily V2 (NetCDF)

Represents the overall growth rate or dry biomass increase of the vegetation and is directly related to ecosystem Net Primary Production (NPP), however with units customized for agro-statistical purposes (kg/ha/day). Every 10-days estimates are available at global scale in the spatial resolution of about 1 km and with the temporal extent from 1999 to June 2020.
CLMS Dry Matter Productivity (DMP) Global 1km 10-daily V2 (COG)

Represents the overall growth rate or dry biomass increase of the vegetation and is directly related to ecosystem Net Primary Production (NPP), however with units customized for agro-statistical purposes (kg/ha/day). Every 10-days estimates are available at global scale in the spatial resolution of about 1 km and with the temporal extent from 1999 to June 2020.
CLMS CLCplus LULUCF Instance Europe 100m yearly V1 (COG)

This dataset refers to the CORINE Land Cover Plus Land Use, Land-Use Change and Forestry Instance (CLCplus LULUCF Instance), an annually updated, pan-European, spatially consistent and seamless geospatial proxy for land use reporting under the LULUCF regulation. The product is delivered as a single raster layer with a spatial resolution of 100 m, derived from multiple pan-European Copernicus Land Monitoring Service (CLMS) high resolution input datasets. The LULUCF Instance is available for the reference years 2018, 2021, 2022 and 2023, with production moving to an annual update cycle starting from the 2021 product. 
Each raster cell represents a dominant LULUCF land-use class, assigned according to thematic and spatial rulesets implemented during the extraction process. While each pixel corresponds primarily to one of the six main LULUCF land use categories - forest land, grassland, cropland, settlements, wetlands, and other lands - the dataset further differentiates these categories into sub classes, resulting in a total of 27 classes. This classification structure supports greenhouse gas reporting and other applications within the LULUCF sector by providing a harmonised and policy relevant representation of land use across Europe. 
This product is fundamentally different from other CLMS products, as it is not based directly on satellite image classification or visual interpretation. Instead, it is produced through the combination and integration of existing CLMS data layers. Consequently, the dataset does not introduce fundamentally new information; rather, its novelty lies in the expert driven integration of multiple sources to produce a LULUCF oriented land use representation.
CLMS Burnt Area (BA) Global 300m monthly V4 (NetCDF)

Maps burn scars, surfaces which have been sufficiently affected by fire to display significant changes in the vegetation cover (destruction of dry material, reduction or loss of green material) and in the ground surface (temporarily darker because of ash). In addition to the date of burn, the Burnt Areas version 4.0 provides the burnt fraction of the pixel. Monthly datasets are available at global scale, in the spatial resolution of 300 m, and with a time lag of few months. They cover the period from July 2018 to present.
CLMS Burnt Area (BA) Global 300m monthly V4 (COG)

Maps burn scars, surfaces which have been sufficiently affected by fire to display significant changes in the vegetation cover (destruction of dry material, reduction or loss of green material) and in the ground surface (temporarily darker because of ash). In addition to the date of burn, the Burnt Areas version 4.0 provides the burnt fraction of the pixel. Monthly datasets are available at global scale, in the spatial resolution of 300 m, and with a time lag of few months. They cover the period from July 2018 to present.
CLMS Burnt Area (BA) Global 300m monthly V3 (NetCDF)

Maps burn scars, surfaces which have been sufficiently affected by fire to display significant changes in the vegetation cover (destruction of dry material, reduction or loss of green material) and in the ground surface (temporarily darker because of ash). Monthly datasets are available at global scale, in the spatial resolution of 300 m, and with a time lag of two months. They cover the period from 2019 to 2025.
CLMS Burnt Area (BA) Global 300m monthly V3 (COG)

Maps burn scars, surfaces which have been sufficiently affected by fire to display significant changes in the vegetation cover (destruction of dry material, reduction or loss of green material) and in the ground surface (temporarily darker because of ash). Monthly datasets are available at global scale, in the spatial resolution of 300 m, and with a time lag of two months. They cover the period from 2019 to 2025.
CLMS Burnt Area (BA) Global 300m daily V4 (NetCDF)

Maps burn scars, surfaces which have been sufficiently affected by fire to display significant changes in the vegetation cover (destruction of dry material, reduction or loss of green material) and in the ground surface (temporarily darker because of ash). Daily datasets are available at global scale, in the spatial resolution of 300 m, and within 24 hours after the satellite acquisition. They cover the period from January 2025 to present.
CLMS Burnt Area (BA) Global 300m daily V4 (COG)

Maps burn scars, surfaces which have been sufficiently affected by fire to display significant changes in the vegetation cover (destruction of dry material, reduction or loss of green material) and in the ground surface (temporarily darker because of ash). Daily datasets are available at global scale, in the spatial resolution of 300 m, and within 24 hours after the satellite acquisition. They cover the period from January 2025 to present.
CLMS Burnt Area (BA) Global 300m daily V3 (NetCDF)

Maps burn scars, surfaces which have been sufficiently affected by fire to display significant changes in the vegetation cover (destruction of dry material, reduction or loss of green material) and in the ground surface (temporarily darker because of ash). Daily datasets are available at global scale, in the spatial resolution of 300 m, and within 24 hours after the satellite acquisition. They cover the period from 2023 to 2025.
CLMS Burnt Area (BA) Global 300m daily V3 (COG)

Maps burn scars, surfaces which have been sufficiently affected by fire to display significant changes in the vegetation cover (destruction of dry material, reduction or loss of green material) and in the ground surface (temporarily darker because of ash). Daily datasets are available at global scale, in the spatial resolution of 300 m, and within 24 hours after the satellite acquisition. They cover the period from 2023 to 2025.
Copernicus Contributing Missions SAR

Synthetic Aperture Radar (SAR) data from the Copernicus Contributing Missions (CCM) provide high-resolution radar imagery, unaffected by weather conditions or daylight. These datasets support Copernicus services in land and marine monitoring, change detection, emergency management, and geophysical observation. With its all-weather, day-and-night imaging capability, SAR is a vital source of spatial information for operational applications.
CLMS Soil Water Index (SWI) Timeseries Global 12.5km V3 (NetCDF)

A reformatting of the daily Soil Water Index product that facilitates time series analysis, provided on a discrete global grid with 12.5 km spacing. For each grid point and observation time in the full time series from 2007 to present, the SWI, quality flag, and Surface State Flag values are provided.
CLMS Normalized Difference Vegetation Index (NDVI) Global 300m 10-daily V1 (COG)

NDVI is an indicator of the greenness of the biomes. Every 10-days estimates are available in near real time at global scale in the spatial resolution of about 300 m from January 2014 to June 2020 based upon PROBA-V data and from July 2020 onwards based upon Sentinel-3/OLCI data.
CLMS Normalized Difference Vegetation Index (NDVI) Global 300m 10-daily V1 (NetCDF)

NDVI is an indicator of the greenness of the biomes. Every 10-days estimates are available in near real time at global scale in the spatial resolution of about 300 m from January 2014 to June 2020 based upon PROBA-V data and from July 2020 onwards based upon Sentinel-3/OLCI data.
CLMS Gross Dry Matter Productivity (GDMP) Global 300m 10-daily V1 (COG)

Equivalent to Gross Primary Production (GPP). Every 10-days estimates are available in near real time at global scale in the spatial resolution of about 300 m from January 2014 to June 2020 based upon PROBA-V data with version 1.0 and from July 2020 onwards based upon Sentinel-3/OLCI data with version 1.1.
CLMS Gross Dry Matter Productivity (GDMP) Global 300m 10-daily V1 (NetCDF)

Equivalent to Gross Primary Production (GPP). Every 10-days estimates are available in near real time at global scale in the spatial resolution of about 300 m from January 2014 to June 2020 based upon PROBA-V data with version 1.0 and from July 2020 onwards based upon Sentinel-3/OLCI data with version 1.1.