AndreaBozzo/ceres-open-data-index huggingface dataset:
CLMS VLCC Fallow Land Presence (CPFLP) Europe 10m yearly V1 (COG)

The Fallow Land Presence (CPFLP) dataset provides a yearly binary classification indicating whether arable land has been left fallow (value 1) during the respective calendar year. Fallow land is defined as agricultural land where, temporarily, no agricultural activity takes place. The determination is based on thematic rules considering the average Crop Types Confidence Layer (CTYCL), the number and sequence of detected harvests and emergences, and the maximum fAPAR value. Only parcels classified as annual cropland by the CTY layer are considered. This dataset is provided annually starting with 2017 in 10-metre rasters (fully conformant with the EEA reference grid) in 100 × 100 km tiles covering the EEA-38 countries. The HRL Fallow Land Presence product is part of the European Union's Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs).
CLMS VLCC Fallow Land Presence Confidence Layer (CPFLPCL) Europe 10m yearly V1 (COG)

The Fallow Land Presence Confidence Layer (CPFLPCL) is an ancillary dataset accompanying the CPFLP layer. It expresses the uncertainty of the fallow land presence classification as a probability percentage (0–100). Pixels with no fallow land are assigned the value 253. This dataset is provided annually starting with 2017 in 10-metre rasters (fully conformant with the EEA reference grid) in 100 × 100 km tiles covering the EEA-38 countries. The HRL Fallow Land Presence Confidence Layer product is part of the European Union's Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs).
CLMS VLCC Fallow Land Duration (CPFLD) Europe 10m yearly V1 (COG)

The Fallow Land Duration (CPFLD) dataset provides information on the total number of days a parcel has been left fallow over a five-year period (2017–2021), with values ranging from 1 to 1826 days. Harvest dates are used to determine the fallow land duration. The accuracy of this layer depends on the accuracy of the CTYCL, the detected harvest and emergence events, and the fAPAR time series. Only parcels classified as annual cropland by the CTY layer are considered. This dataset covers the period 2017–2021 in 10-metre rasters (fully conformant with the EEA reference grid) in 100 × 100 km tiles covering the EEA-38 countries. The HRL Fallow Land Duration product is part of the European Union's Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs).
CLMS VLCC Fallow Land Duration Confidence Layer (CPFLDCL) Europe 10m yearly V1 (COG)

The Fallow Land Duration Confidence Layer (CPFLDCL) is an ancillary dataset accompanying the CPFLD layer. It quantifies the uncertainty of the total fallow land duration over the five-year reference period, expressed in days (range: 1–200). The uncertainty is derived from the uncertainty of the harvest events that define the fallow land duration. If the fallow land duration over the years always entails the full calendar year, it is not possible to calculate a confidence value and a dedicated flag is assigned. This dataset covers the period 2017–2021 in 10-metre rasters (fully conformant with the EEA reference grid) in 100 × 100 km tiles covering the EEA-38 countries. The HRL Fallow Land Duration Confidence Layer product is part of the European Union's Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs).
CLMS VLCC Dominant Leaf Type (DLT) Europe 10m yearly V1 (COG)

The High Resolution Dominant Leaf Type (DLT) raster product provides a basic land cover classification with 3 thematic classes (all non-tree covered areas, broadleaved and coniferous). This dataset is provided annually starting with 2018 in 10 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Tree Cover and Forest product is part of the European Union’s Copernicus Land Monitoring Service. Confidence layer available for the dataset. This dataset includes data from the French Overseas Territories (DOMs).
CLMS VLCC Dominant Leaf Type Confidence Layer (DLTCL) Europe 10m yearly V1 (COG)

The High Resolution Layer Dominant Leaf Type Confidence Layer (DLTCL) dataset provides a quality support raster product. This dataset is provided annually starting with 2018 in 10 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Tree Cover and Forest product is part of the European Union’s Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs).
CLMS VLCC Dominant Leaf Type Change (DLTC) Europe 20m 3-yearly V1 (COG)

The High Resolution Layer Dominant Leaf Type Change (DLTC) dataset provides information on the change between the reference years and consists of 7 thematic classes (unchanged areas with no tree cover / new broadleaved cover / new coniferous cover / loss of broadleaved cover / loss of coniferous cover / unchanged areas with tree cover / potential change among dominant leaf types). This dataset is provided in 20 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Tree Cover and Forest product is part of the European Union’s Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs).
CLMS VLCC Cropping Seasons Yearly (CPCSY) Europe 10m yearly V1 (COG)

The Cropping Seasons Yearly (CPCSY) dataset provides information on the total number of growing seasons detected within a given reference year at each annual cropland pixel, with values of 1 or 2 (a maximum of two growing seasons is considered). It is derived from the CTY and the CPSCT layers by counting the number of growing seasons in a specific year. Information on the number of growing seasons provides valuable insights into the intensity of land use and double cropping practices at regional and national level. This dataset is provided annually starting with 2017 in 10-metre rasters (fully conformant with the EEA reference grid) in 100 × 100 km tiles covering the EEA-38 countries. The HRL Cropping Seasons Yearly product is part of the European Union's Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs).
CLMS VLCC Cropping Seasons Types over 3 Years (CPCST) Europe 10m 3-yearly V1 (COG)

The Cropping Seasons Types over 3 Years (CPCST) dataset indicates the number of unique crop types grown in the main agricultural season over a rolling three-year period (values: 1–3). It is derived from the crop diversity count based on CTY data from three consecutive years and does not rely on the delineation of parcel complexes. Permanent crops are excluded from the diversity count. Information on crop rotation provides valuable insights for monitoring the application of monoculture or rotation cycles in specific regions. This dataset is available for the periods 2017–2019, 2018–2020, and 2019–2021 in 10-metre rasters (fully conformant with the EEA reference grid) in 100 × 100 km tiles covering the EEA-38 countries. The HRL Cropping Seasons Types product is part of the European Union's Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs).
CLMS VLCC Crop Types (CTY) Europe 10m yearly V1 (COG)

The Crop Types (CTY) dataset maps the specific crop type grown during the main growing season for all pixels identified as arable or permanent cropland by the Base Vegetation Layer (BVL). It is the primary layer of the HRL Croplands product suite. The classification covers 18 crop types grouped into arable crops (cereals, dry pulses & vegetables, root/tuber crops, non-permanent industrial crops) and permanent crops (grapes, olives, fruits, nuts), as well as unclassified arable and permanent crop categories. Maximum uniformity, comparability, and interpretability across different European regions is ensured by focusing on the main growing season. This dataset is provided annually starting with 2017 in 10-metre rasters (fully conformant with the EEA reference grid) in 100 × 100 km tiles covering the EEA-38 countries. The HRL Crop Types product is part of the European Union's Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs).
CLMS VLCC Crop Types Confidence Layer (CTYCL) Europe 10m yearly V1 (COG)

The Crop Types Confidence Layer (CTYCL) is an ancillary dataset accompanying the CTY layer. It expresses the degree of confidence in the assigned crop type label at each pixel, derived from the probability value of the winning class as determined by the classification model. Values range from 0 (0% classification confidence) to 100 (100% classification confidence). Pixels with no cropland are assigned the value 253, and pixels outside the area of interest are assigned 255. This dataset is provided annually starting with 2017 in 10-metre rasters (fully conformant with the EEA reference grid) in 100 × 100 km tiles covering the EEA-38 countries. The HRL Crop Types Confidence Layer product is part of the European Union's Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs).
CLMS VLCC Coniferous Cover Density (CCD) Europe 100m yearly V1 (COG)

The High Resolution Layer Coniferous Cover Density (CCD) dataset provides information on the percentage of coniferous pixels at 100m spatial resolution, and is derived through aggregation of the 10m DLT for the respective reference year. Within each cell the number of coniferous pixels are counted and the percentages stored into in the 100m pixel of the CCD. The class 255 = outside area is predefined by the 100m boundary layer and remains unchanged. This dataset is provided annually starting with 2018 in 100 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Tree Cover and Forest product is part of the European Union’s Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs).
CLMS VLCC Broadleaved Cover Density (BCD) Europe 100m yearly V1 (COG)

The High Resolution Layer Broadleaved Density (BCD) dataset provides information on the percentage of broadleaved pixels at 100m spatial resolution, and is derived through aggregation of the 10m DLT for the respective reference year. Within each cell the number of broadleaved pixels are counted and the percentages stored into in the 100m pixel of the BCD. The class 255 = outside area is predefined by the 100m boundary layer and remains unchanged. This dataset is provided annually starting with 2018 in 100 meter rasters (fully conformant with the EEA reference grid) in 100 x 100 km tiles covering the EEA38 countries. High Resolution Layer Tree Cover and Forest product is part of the European Union’s Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs).
CLMS VLCC Bare Soil Before (CPBSB) Europe 10m yearly V1 (COG)

The Bare Soil Before (CPBSB) dataset indicates the duration of the bare soil period before the emergence of the main annual crop, expressed in days (range: 1–295). The bare soil period is determined by the detection of emergence and harvest events within a given year. Since no specific bare soil detection algorithm is employed, there may be instances where the field is not completely bare during this period, due to weed growth, residual crop remnants, or agricultural activities such as fertilisation or ploughing. The bare soil period is defined only for the duration within the reference year. Information on bare soil periods is relevant for policy makers assessing soil susceptibility to leaching and erosion. This dataset is provided annually starting with 2017 in 10-metre rasters (fully conformant with the EEA reference grid) in 100 × 100 km tiles covering the EEA-38 countries. The HRL Bare Soil Before product is part of the European Union's Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs).
CLMS VLCC Bare Soil Before Confidence Layer (CPBSBCL) Europe 10m yearly V1 (COG)

The Bare Soil Before Confidence Layer (CPBSBCL) is an ancillary dataset accompanying the CPBSB layer. It quantifies the uncertainty of the bare soil period before the emergence of the main annual crop, expressed in days (range: 1–80). The uncertainty is based on the uncertainty of the emergence and/or harvest events that define the bare soil period. Emergence events occurring after the calendar year that marks the end of the bare soil period will not be included in the uncertainty calculation. This dataset is provided annually starting with 2017 in 10-metre rasters (fully conformant with the EEA reference grid) in 100 × 100 km tiles covering the EEA-38 countries. The HRL Bare Soil Before Confidence Layer product is part of the European Union's Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs).
CLMS VLCC Bare Soil After (CPBSA) Europe 10m yearly V1 (COG)

The Bare Soil After (CPBSA) dataset indicates the duration of the bare soil period after the harvest of the main annual crop, expressed in days (range: 1–275). The bare soil period is determined by the detection of emergence and harvest events within a given year. Since no specific bare soil detection algorithm is employed, there may be instances where the field is not completely bare during this period, due to weed growth, residual crop remnants, or agricultural activities such as fertilisation or ploughing. The bare soil period is defined only for the duration within the reference year. This dataset is provided annually starting with 2017 in 10-metre rasters (fully conformant with the EEA reference grid) in 100 × 100 km tiles covering the EEA-38 countries. The HRL Bare Soil After product is part of the European Union's Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs).
CLMS VLCC Bare Soil After Confidence Layer (CPBSACL) Europe 10m yearly V1 (COG)

The Bare Soil After Confidence Layer (CPBSACL) is an ancillary dataset accompanying the CPBSA layer. It quantifies the uncertainty of the bare soil period after the harvest of the main annual crop, expressed in days (range: 1–80). The uncertainty is based on the uncertainty of the emergence and/or harvest events that define the bare soil period. If the preceding harvest event took place in the previous calendar year, it will not be included in the uncertainty calculation. This dataset is provided annually starting with 2017 in 10-metre rasters (fully conformant with the EEA reference grid) in 100 × 100 km tiles covering the EEA-38 countries. The HRL Bare Soil After Confidence Layer product is part of the European Union's Copernicus Land Monitoring Service. This dataset includes data from the French Overseas Territories (DOMs).
CLMS Urban Atlas Street Tree Layer (0.05ha MMU) - Europe

The Urban Atlas Street Tree Layer product provides detailed information about street trees in Functional Urban Areas (FUAs) in Europe. The product has a Minimum Mapping Unit (MMU) of 0.05 hectares (500 m²) and a Minimum Mapping Width (MMW) of 10 meters. It is part of the Copernicus Land Monitoring Service (CLMS) and covers urban areas across Europe with a 3-yearly temporal repeat rate. The data is provided in flatgeobuf format with EPSG:3035 projection and includes both the street tree layer and an urban mask auxiliary layer.
CLMS Urban Atlas Land Cover and Land Use (0.25ha MMU) - Europe

The Urban Atlas Land Cover and Land Use product provides detailed land cover and land use information for Functional Urban Areas (FUAs) in Europe. The product has a Minimum Mapping Unit (MMU) of 0.25 hectares (2,500 m²) and a Minimum Mapping Width (MMW) of 10 meters. It is part of the Copernicus Land Monitoring Service (CLMS) and covers urban areas across Europe with a 3-yearly temporal repeat rate. The data is provided in flatgeobuf format with EPSG:3035 projection.
CLMS Urban Atlas Land Cover and Land Use Change (0.10ha MMU) - Europe

The Urban Atlas Land Cover and Land Use Change product provides detailed change detection information between reference years for Functional Urban Areas (FUAs) in Europe. The product has a Minimum Mapping Unit (MMU) of 0.10 hectares (1,000 m²) and a Minimum Mapping Width (MMW) of 10 meters. It is part of the Copernicus Land Monitoring Service (CLMS) and covers urban areas across Europe with a 3-yearly temporal repeat rate. The data is provided in flatgeobuf format with EPSG:3035 projection and captures changes between 2018 and 2021.
CLMS Urban Atlas Building Block Height (BBH) (10m) - Europe

The Urban Atlas Building Blocks Height (BBH) product provides high-resolution building height information for Functional Urban Areas (FUAs) in Europe for the 2021 reference year. The dataset is a 10 m resolution raster layer containing height information generated for selected cities and urban areas as part of the Urban Atlas suite of products. Height information is based on satellite data and derived datasets like the Digital Surface Model (DSM), the Digital Terrain Model (DTM), and the normalized DSM. It is part of the Copernicus Land Monitoring Service (CLMS) and is produced for selected Urban Atlas reference years. The data is provided in GeoTIFF raster format with EPSG:3035 projection.
CLMS Tree Cover Density (TCD) Pantropical 10m yearly V1 (COG)

Provides pantropical tree cover density as projective tree cover in percent per pixel at 10 m resolution for the 2020 base year. The product belongs to the Copernicus Global Land Cover and Tropical Forest Mapping and Monitoring Service (LCFM) and builds upon initiatives like the REDDCopernicus, EO4SD Forest Monitoring and pan-European Vegetated Land Cover Characteristics. It advances tropical forest monitoring capabilities, ensuring alignment with international sustainability initiatives and providing critical information for analysis and monitoring of deforestation and forest degradation.
CLMS Net Primary Production (NPP) Global 300m 10-daily V2 (NetCDF)

Defined as the net amount of biomass, or carbon, produced by plants per unit area and time, expressed in gC/m²/day. It is equal to the difference between the Gross Primary Production (GPP), i.e. the total amount of carbon produced through photosynthesis, and the amount of energy used for plant respiration. 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 Net Primary Production (NPP) Global 300m 10-daily V2 (COG)

Defined as the net amount of biomass, or carbon, produced by plants per unit area and time, expressed in gC/m²/day. It is equal to the difference between the Gross Primary Production (GPP), i.e. the total amount of carbon produced through photosynthesis, and the amount of energy used for plant respiration. 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 Net Primary Production (NPP) Global 300m 10-daily V1 (NetCDF)

Provides the amount of carbon retained in an ecosystem (increase in biomass); it is equal to the difference between the amount of carbon produced through photosynthesis (GPP) and the amount of energy that is used for respiration. 10-daily observations are available at global scale in the spatial resolution of 300 m and with the temporal extent from 2023 to February 2026.
CLMS Net Primary Production (NPP) Global 300m 10-daily V1 (COG)

Provides the amount of carbon retained in an ecosystem (increase in biomass); it is equal to the difference between the amount of carbon produced through photosynthesis (GPP) and the amount of energy that is used for respiration. 10-daily observations are available at global scale in the spatial resolution of 300 m and with the temporal extent from 2023 to February 2026.
CLMS Lake Water Quality (LWQ) NRT Global 100m 10-daily V1 (NetCDF)

Provides semi-continuous observations for a large number of medium and large-sized lakes, according to the Global Lakes and Wetlands Database (GLWD) or otherwise of specific environmental monitoring interest. 10-daily observations are available at 100 m spatial resolution with a temporal extent from 2019 to 2024, derived from Sentinel-2 MSI.
CLMS Lake Water Quality (LWQ) NRT Global 100m 10-daily V1 (COG)

Provides semi-continuous observations for a large number of medium and large-sized lakes, according to the Global Lakes and Wetlands Database (GLWD) or otherwise of specific environmental monitoring interest. 10-daily observations are available at 100 m spatial resolution with a temporal extent from 2019 to 2024, derived from Sentinel-2 MSI.
CLMS Land Surface Temperature with Thermal Condition Index (LST-TCI) Global 3km 10-daily V3 (NetCDF)

Provides a statistical overview of the land surface temperature over each 10-day compositing period and every geostationary sensor image pixel, including a Thermal Condition Index. The minimum, median and maximum LST are calculated regardless of any specific hour of the day. The data are available at global scale in the spatial resolution of about 3 km and cover the period from January 2018 to the present.
CLMS Land Surface Temperature with Thermal Condition Index (LST-TCI) Global 3km 10-daily V3 (COG)

Provides a statistical overview of the land surface temperature over each 10-day compositing period and every geostationary sensor image pixel, including a Thermal Condition Index. The minimum, median and maximum LST are calculated regardless of any specific hour of the day. The data are available at global scale in the spatial resolution of about 3 km and cover the period from January 2018 to the present.
CLMS Land Surface Temperature (LST) Daily Cycle Global 3km 10-daily V3 (NetCDF)

Provides a statistical overview of the land surface temperature daily cycle for each 10-day compositing period and every geostationary sensor image pixel. The minimum, median and maximum LST are calculated for each of the 24 hours of the day. The data are available at global scale in the spatial resolution of about 3 km and cover the period from January 2018 to the present.
CLMS Land Surface Temperature (LST) Daily Cycle Global 3km 10-daily V3 (COG)

Provides a statistical overview of the land surface temperature daily cycle for each 10-day compositing period and every geostationary sensor image pixel. The minimum, median and maximum LST are calculated for each of the 24 hours of the day. The data are available at global scale in the spatial resolution of about 3 km and cover the period from January 2018 to the present.
CLMS Lake Ice Extent (LIE) Northern Hemisphere 500m daily V1 (NetCDF)

On a daily basis classifies pixels in Northern Hemisphere freshwater bodies into 1) Ice, 2) Open water, and 3) Cloud. The class Ice includes various types of ice, also snow-covered ice. The data is updated in near real-time with the spatial resolution of 500 m and with a temporal extent from April 2021 to August 2025.
CLMS Lake Ice Extent (LIE) Northern Hemisphere 500m daily V1 (COG)

On a daily basis classifies pixels in Northern Hemisphere freshwater bodies into 1) Ice, 2) Open water, and 3) Cloud. The class Ice includes various types of ice, also snow-covered ice. The data is updated in near real-time with the spatial resolution of 500 m and with a temporal extent from April 2021 to August 2025.
CLMS Lake Ice Extent (LIE) Europe 250m daily V2 (NetCDF)

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.