AndreaBozzo/ceres-open-data-index huggingface dataset:
Copernicus Senwise RoseL-like imagery, Martigues, FR 1, 2025

The input RoseL-like imagery dataset is a copy of SAOCOM-1A SAR Stripmap dual pol (VH-VV) data collection downloaded from saocom.asi.it. Data are in the Single Look Complex (SLC - Level-1A) format suitable for InSAR/PolSAR processing. Data cover the Martigues area, South of France, where a wildfire happened in Summer 2025. Coordinates are [4.43, 43.44], [5.36, 42.92]. Data are acquired in ascending (ASC) orbit and are given here in the SAR acquisition geometry (slant range, azimuth coordinates). Both extent and numbers of rows and columns vary a bit from one image to the other: values given here correspond to the 1st image of the collection. One geoprojected (.tif) image out of the collection is provided for information only, for allowing to locate the relevant area.
Copernicus Senwise RoseL-like imagery, Walloon Region, BE 3, 2025

The input RoseL-like imagery dataset is a copy of SAOCOM-1A SAR Stripmap dual pol (VH-VV) data collection over a sub-region of Wallon Region, Belgium, downloaded from saocom.asi.it. Coordinates are [4.02, 50.78], [4.73, 50.06]. Data are in the Single Look Complex (SLC - Level-1A) format suitable for InSAR/PolSAR processing. Data are acquired in descending (DSC) orbit and are given here in the SAR acquisition geometry (slant range, azimuth coordinates). Both extent and numbers of rows and columns vary a bit from one image to the other: values given here correspond to the 1st image of the collection. One geoprojected (.tif) image out of the collection is provided for information only, for allowing to locate the relevant area.
Copernicus Senwise RoseL-like imagery, Walloon Region, Tellin, BE 2, 2024

The input RoseL-like imagery dataset is a copy of SAOCOM-1A L-band SAR Stripmap dual pol (VH-VV) data collection downloaded from saocom.asi.it, Acquisitions cover a sub-region of Wallon Region, Belgium, including the forest of Grand-Leez, for 2022. Coordinates are [4.52,51.00], [5.60,50.49].  Data are in the Single Look Complex (SLC - Level-1A) format suitable for InSAR/PolSAR processing. Data are acquired in ascending (ASC) orbit and are given/provided here in the SAR acquisition geometry (slant range, azimuth coordinates). Both extent and numbers of rows and columns vary a bit from one image to the other: values given here correspond to the 1st image of the collection. A geoprojected (.tif) image out of the collection is provided for information only, for allowing to locate the relevant area.
Copernicus Senwise RoseL-like imagery - Walloon Region - BE 1, 2025

The input RoseL-like imagery dataset is a copy of SAOCOM-1A SAR Stripmap dual pol (VH-VV) data collection over a sub-region of Wallon Region, Belgium, downloaded from saocom.asi.it. Coordinates are [4.51,51.04], [5.58,50.53]. Data are in the Single Look Complex (SLC - Level-1A) format suitable for InSAR/PolSAR processing. Data are acquired in ascending (ASC) orbit and are given here in the SAR acquisition geometry (slant range, azimuth coordinates). Both extent and numbers of rows and columns vary a bit from one image to the other: values given here correspond to the 1st image of the collection. One geoprojected (.tif) image out of the collection is provided for information only, for allowing to locate the relevant area.
Copernicus Senwise RoseL-like imagery, GrandLeez, BE 1, 2022

The input RoseL-like imagery dataset is a copy of SAOCOM-1A L-band SAR Stripmap dual pol (VH-VV) data collection over a sub-region of Wallon Region, Belgium, downloaded from saocom.asi.it. Data are in the Single Look Complex (SLC - Level-1A) format suitable for InSAR/PolSAR processing. Data are acquired in ascending (ASC) orbit and are given/provided here in the SAR acquisition geometry (slant range, azimuth coordinates). Both extent and numbers of rows and columns vary a bit from one image to the other: values given here correspond to the 1st image of the collection. A geoprojected (.tif) image out of the collection is provided for information only, for allowing to locate the relevant area.
ST_MONTHLY_GRIDDED_CLIMATOLOGIES_TEMPERATURE

The product contains the gridded climatologies of monthly mean temperature for Trentino â€“ South Tyrol for the period 1981â€“2010. The dataset was obtained by interpolating on a 250-m resolution grid the observed monthly climatologies of more than 200 station sites of the regional meteorological network and some extra-regional sites close to the borders. All observation data used for deriving the gridded fields were prior checked for quality and homogeneity and they are stored in the Climate Database:https://edp-portal.eurac.edu/cdb_doc/. Mean temperature was here defined as the average of maximum and minimum temperature. The climatologies represent the mean values over a reference 30-year period. Further details can be found in the published paper (Crespi et al., 2021; https://doi.org/10.5194/essd-13-2801-2021).
ST_MONTHLY_GRIDDED_CLIMATOLOGIES_PRECIPITATION

The product contains the gridded climatologies of monthly total precipitation for Trentino â€“ South Tyrol for the period 1981â€“2010. The dataset was obtained by interpolating on a 250-m resolution grid the observed monthly climatologies of more than 200 station sites of the regional meteorological network and some extra-regional sites close to the borders. All observation data used for deriving the gridded fields were prior checked for quality and homogeneity and they are stored in the Climate Database:https://edp-portal.eurac.edu/cdb_doc/. The climatologies refer to the averages over a reference 30-year period. Further details can be found in the published paper (Crespi et al., 2021; https://doi.org/10.5194/essd-13-2801-2021). The dataset is also available in PANGAEA repository.
ST_GRIDDED_TIME_SERIES_TEMPERATURE

The product contains the gridded daily series of mean temperature at 250-m spatial resolution for the region Trentino â€“ South Tyrol. The dataset currently spans the period 1980 â€“ 2020, but it is expected to be regularly updated. It was obtained by applying an anomaly-based interpolation to the observations of more than 200 station sites of the regional meteorological network and some extra-regional sites close to the borders. All station series used for deriving the gridded fields were prior checked for quality and homogeneity and they are stored in the Climate Database: https://edp-portal.eurac.edu/cdb_doc/. Mean temperature was here defined as the daily average of maximum and minimum temperature. Further details can be found in the published paper (Crespi et al., 2021; https://doi.org/10.5194/essd-13-2801-2021). The dataset is also available in PANGAEA repository.
ST_GRIDDED_TIME_SERIES_PRECIPITATION

The product contains the gridded daily series of mean precipitation at 250-m spatial resolution for the region Trentino â€“ South Tyrol. The dataset was obtained by interpolating on a 250-m resolution grid the observed monthly climatologies of more than 200 station sites of the regional meteorological network and some extra-regional sites close to the borders. All observation data used for deriving the gridded fields were prior checked for quality and homogeneity and they are stored in the Climate Database: https://edp-portal.eurac.edu/cdb_doc/. The climatologies refer to the averages over a reference 30-year period. Further details can be found in the published paper (Crespi et al., 2021; https://doi.org/10.5194/essd-13-2801-2021). The dataset is also available in PANGAEA repository.
SoilGrids data for the European Alps

SoilGrids is a system for global digital soil mapping that uses state-of-the-art machine learning methods to map the spatial distribution of soil properties across the globe. SoilGrids prediction models are fitted using over 230 000 soil profile observations from the WoSIS database and a series of environmental covariates. Covariates were selected from a pool of over 400 environmental layers from Earth observation derived products and other environmental information including climate, land cover and terrain morphology. The outputs of SoilGrids are global soil property maps at six standard depth intervals (according to the GlobalSoilMap IUSS working group and its specifications) at a spatial resolution of 250 meters.
E-OBS daily gridded meteorological data for the European Alps from 1995 to present derived from in-situ observations

E-OBS is a daily gridded land-only observational dataset over Europe. The blended time series from the station network of the European Climate Assessment & Dataset (ECA&D) project form the basis for the E-OBS gridded dataset. All station data are sourced directly from the European National Meteorological and Hydrological Services (NMHSs) or other data holding institutions.
LagunaOrbetello

This collection is based on Sentinel-2 level 2A dataset acquired from both Sentinel-2 A and B satellites.
It covers a temporal range of 01-02-2021 to 30-09-2023, for every site all Sentinel scenes covering the area are included.
The collection includes all bands at a resolution of 10 meters. The bands are listed below.
B02
B03
B04
B05
B06
B07
B08
B8A
B09
B11
B12
SCL
The Level-2A data includes a Scene Classification, the algorithm allows the detection of clouds, snow and cloud shadows and generation of a classification map.
Cloud screening is applied to the data in order to retrieve accurate atmospheric and surface parameters during the atmospheric correction step.
The L2A SCL map can also be a valuable input for further processing steps or data analysis.
The collection covers all sites of the Hyperecos project. The following sites are included with the spatial extent mentioned.
Cireco {'west': 12.870775000000037, 'east': 13.103782000000024, 'south': 41.22186599400004, 'north': 41.41504699400008}
Orbetello {'west': 11.181888751927033,'east': 11.455397318265538, 'south': 42.372996996314896, 'north': 42.50311599528868}
Sciliar - Catinaccio {'west': 11.506713000000047, 'east': 11.667129000000045, 'south': 46.440615996000076, 'north': 46.54040999600005}
Castel Porziano {'west': 12.345466114000033, 'east': 12.451677663000055, 'south': 41.65575504100008, 'north': 41.78393419900004}
Monte Bondone {'west': 11.027602448000039, 'east': 11.044658587000072, 'south': 45.98801759300005, 'north': 46.01382867600006}
Bosco Fontana {'west': 10.73031770800003, 'east': 10.757708439000055, 'south': 45.192834764000054, 'north': 45.20899297600005}
Hunsrück-Hochwald {"west": 6.98720747225448, "east": 7.28904390300005, "north": 49.7943764377934, "south": 49.60530142600001}
Hunsruck_Hochwald_national_park

This collection is based on Sentinel-2 level 2A dataset acquired from both Sentinel-2 A and B satellites.
It covers a temporal range of 01-02-2021 to 30-09-2023, for every site all Sentinel scenes covering the area are included.
The collection includes all bands at a resolution of 10 meters. The bands are listed below.
B02
B03
B04
B05
B06
B07
B08
B8A
B09
B11
B12
SCL
The Level-2A data includes a Scene Classification, the algorithm allows the detection of clouds, snow and cloud shadows and generation of a classification map.
Cloud screening is applied to the data in order to retrieve accurate atmospheric and surface parameters during the atmospheric correction step.
The L2A SCL map can also be a valuable input for further processing steps or data analysis.
The collection covers all sites of the Hyperecos project. The following sites are included with the spatial extent mentioned.
Cireco {'west': 12.870775000000037, 'east': 13.103782000000024, 'south': 41.22186599400004, 'north': 41.41504699400008}
Orbetello {'west': 11.181888751927033,'east': 11.455397318265538, 'south': 42.372996996314896, 'north': 42.50311599528868}
Sciliar - Catinaccio {'west': 11.506713000000047, 'east': 11.667129000000045, 'south': 46.440615996000076, 'north': 46.54040999600005}
Castel Porziano {'west': 12.345466114000033, 'east': 12.451677663000055, 'south': 41.65575504100008, 'north': 41.78393419900004}
Monte Bondone {'west': 11.027602448000039, 'east': 11.044658587000072, 'south': 45.98801759300005, 'north': 46.01382867600006}
Bosco Fontana {'west': 10.73031770800003, 'east': 10.757708439000055, 'south': 45.192834764000054, 'north': 45.20899297600005}
Hunsrück-Hochwald {"west": 6.98720747225448, "east": 7.28904390300005, "north": 49.7943764377934, "south": 49.60530142600001}
CastelPorziano

This collection is based on Sentinel-2 level 2A dataset acquired from both Sentinel-2 A and B satellites.
It covers a temporal range of 01-02-2021 to 30-09-2023, for every site all Sentinel scenes covering the area are included.
The collection includes all bands at a resolution of 10 meters. The bands are listed below.
B02
B03
B04
B05
B06
B07
B08
B8A
B09
B11
B12
SCL
The Level-2A data includes a Scene Classification, the algorithm allows the detection of clouds, snow and cloud shadows and generation of a classification map.
Cloud screening is applied to the data in order to retrieve accurate atmospheric and surface parameters during the atmospheric correction step.
The L2A SCL map can also be a valuable input for further processing steps or data analysis.
The collection covers all sites of the Hyperecos project. The following sites are included with the spatial extent mentioned.
Cireco {'west': 12.870775000000037, 'east': 13.103782000000024, 'south': 41.22186599400004, 'north': 41.41504699400008}
Orbetello {'west': 11.181888751927033,'east': 11.455397318265538, 'south': 42.372996996314896, 'north': 42.50311599528868}
Sciliar - Catinaccio {'west': 11.506713000000047, 'east': 11.667129000000045, 'south': 46.440615996000076, 'north': 46.54040999600005}
Castel Porziano {'west': 12.345466114000033, 'east': 12.451677663000055, 'south': 41.65575504100008, 'north': 41.78393419900004}
Monte Bondone {'west': 11.027602448000039, 'east': 11.044658587000072, 'south': 45.98801759300005, 'north': 46.01382867600006}
Bosco Fontana {'west': 10.73031770800003, 'east': 10.757708439000055, 'south': 45.192834764000054, 'north': 45.20899297600005}
Hunsrück-Hochwald {"west": 6.98720747225448, "east": 7.28904390300005, "north": 49.7943764377934, "south": 49.60530142600001}
BoscoFontana

This collection is based on Sentinel-2 level 2A dataset acquired from both Sentinel-2 A and B satellites.
It covers a temporal range of 01-02-2021 to 30-09-2023, for every site all Sentinel scenes covering the area are included.
The collection includes all bands at a resolution of 10 meters. The bands are listed below.
B02
B03
B04
B05
B06
B07
B08
B8A
B09
B11
B12
SCL
The Level-2A data includes a Scene Classification, the algorithm allows the detection of clouds, snow and cloud shadows and generation of a classification map.
Cloud screening is applied to the data in order to retrieve accurate atmospheric and surface parameters during the atmospheric correction step.
The L2A SCL map can also be a valuable input for further processing steps or data analysis.
The collection covers all sites of the Hyperecos project. The following sites are included with the spatial extent mentioned.
Cireco {'west': 12.870775000000037, 'east': 13.103782000000024, 'south': 41.22186599400004, 'north': 41.41504699400008}
Orbetello {'west': 11.181888751927033,'east': 11.455397318265538, 'south': 42.372996996314896, 'north': 42.50311599528868}
Sciliar - Catinaccio {'west': 11.506713000000047, 'east': 11.667129000000045, 'south': 46.440615996000076, 'north': 46.54040999600005}
Castel Porziano {'west': 12.345466114000033, 'east': 12.451677663000055, 'south': 41.65575504100008, 'north': 41.78393419900004}
Monte Bondone {'west': 11.027602448000039, 'east': 11.044658587000072, 'south': 45.98801759300005, 'north': 46.01382867600006}
Bosco Fontana {'west': 10.73031770800003, 'east': 10.757708439000055, 'south': 45.192834764000054, 'north': 45.20899297600005}
Hunsrück-Hochwald {"west": 6.98720747225448, "east": 7.28904390300005, "north": 49.7943764377934, "south": 49.60530142600001}
Copernicus Senwise RoseL-like imagery, Vidauban, FR 2, 2024

The input RoseL-like imagery dataset is a copy of SAOCOM-1B SAR Stripmap dual pol (VH-VV) data collection downloaded from saocom.asi.it. Data are in the Single Look Complex (SLC - Level-1A) format suitable for InSAR/PolSAR processing. Coordinates are [5.95, 43.46], [6.90, 42.88]. Data cover the Vidauban area, South of France, where a wildfire happened in Summer 2024. Data are acquired in ascending (ASC) orbit and are given here in the SAR acquisition geometry (slant range, azimuth coordinates). Both extent and numbers of rows and columns vary a bit from one image to the other: values given here correspond to the 1st image of the collection. One geoprojected (.tif) image out of the collection is provided for information only, for allowing to locate the relevant area.
Copernicus Senwise RoseL-like imagery, Walloon Region, BE 5, 2025

The input RoseL-like imagery dataset is a copy of SAOCOM-1A L-band SAR Stripmap dual pol (VH-VV) data collection downloaded from saocom.asi.it, Acquisitions cover a sub-region of Wallon Region, Belgium, including the forest of Grand-Leez, for 2022. Coordinates are [4.52,51.00], [5.60,50.49].  Data are in the Single Look Complex (SLC - Level-1A) format suitable for InSAR/PolSAR processing. Data are acquired in ascending (ASC) orbit and are given/provided here in the SAR acquisition geometry (slant range, azimuth coordinates). Both extent and numbers of rows and columns vary a bit from one image to the other: values given here correspond to the 1st image of the collection. A geoprojected (.tif) image out of the collection is provided for information only, for allowing to locate the relevant area.
CORINE Land Cover 2018 (CLC2018), Europe (Raster 100m)

The Corine Land Cover 2018 (CLC2018) dataset is one of the datasets produced within the CORINE Land Cover Program to capture land cover/ land use status for 2018. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 thematic classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares. It is provided as 100m raster data here
Wetlands_Dunes_Circeo_national_park

This collection is based on Sentinel-2 level 2A dataset acquired from both Sentinel-2 A and B satellites.
It covers a temporal range of 01-02-2021 to 30-09-2023, for every site all Sentinel scenes covering the area are included.
The collection includes all bands at a resolution of 10 meters. The bands are listed below.
B02
B03
B04
B05
B06
B07
B08
B8A
B09
B11
B12
SCL
The Level-2A data includes a Scene Classification, the algorithm allows the detection of clouds, snow and cloud shadows and generation of a classification map.
Cloud screening is applied to the data in order to retrieve accurate atmospheric and surface parameters during the atmospheric correction step.
The L2A SCL map can also be a valuable input for further processing steps or data analysis.
The collection covers all sites of the Hyperecos project. The following sites are included with the spatial extent mentioned.
Cireco {'west': 12.870775000000037, 'east': 13.103782000000024, 'south': 41.22186599400004, 'north': 41.41504699400008}
Orbetello {'west': 11.181888751927033,'east': 11.455397318265538, 'south': 42.372996996314896, 'north': 42.50311599528868}
Sciliar - Catinaccio {'west': 11.506713000000047, 'east': 11.667129000000045, 'south': 46.440615996000076, 'north': 46.54040999600005}
Castel Porziano {'west': 12.345466114000033, 'east': 12.451677663000055, 'south': 41.65575504100008, 'north': 41.78393419900004}
Monte Bondone {'west': 11.027602448000039, 'east': 11.044658587000072, 'south': 45.98801759300005, 'north': 46.01382867600006}
Bosco Fontana {'west': 10.73031770800003, 'east': 10.757708439000055, 'south': 45.192834764000054, 'north': 45.20899297600005}
Hunsrück-Hochwald {"west": 6.98720747225448, "east": 7.28904390300005, "north": 49.7943764377934, "south": 49.60530142600001}
Vegetation Health Index - 231 m 8 days

The Vegetation Health Index (VHI) is based on a combination of products extracted from vegetation signals, namely the Normalized Difference Vegetation Index (NDVI) and the land surface temperature, both derived from MODIS satellite data. The NDVI is based on 8 day maximum value composite MOD09Q1 (v006) reflectance and the land surface temperature (LST) on 8 day MOD11A2 (v006) LST products. The spatial resolution is 231 m, therefore the original 1000 m  resolution of the MOD11A2 LST is downscaled to 231 m of the MOD09Q1 reflectance. Both products are masked to the highest quality standards using the provided quality layers. Missing pixel values in the time series are linearly interpolated. Non-vegetated areas are masked using the most recent Corine Land Cover product version for the according year. The final product is regridded to the LAEA Projection (EPSG:3035). The VHI relies on a strong inverse correlation between NDVI and land surface temperature, since increasing land temperatures are assumed to act negatively on vegetation vigour and consequently to cause stress. The data is provided as 8 day measures. The time series is starting from 2001. The VHI values range from 0-100, whereas high values correspond to healthy vegetation and low values indicate stressed vegetation.
Temperature Condition Index - 231 m 8 days

The Temperature Condition Index (TCI) is based on the Land Surface Temperature (LST) MODIS satellite data. The LST is based on 8 day MOD11A2 (v006) LST products. The spatial resolution is 231 m after regridding from the original 1000 m resolution. The LST is masked to the highest quality standards using the provided quality layers. Missing pixel values in the time series are linearly interpolated. Non-vegetated areas are masked using the most recent Corine Land Cover product version for the according year. The final product is regridded to the LAEA Projection (EPSG:3035). The TCI is calculated using the formula TCIi = (LSTmax,i - LSTi)/(LSTmax,i - LSTmin,i) * 100. The TCI expresses anomalies of the LST. The data is provided as 8 day measures. The time series is starting from 2001. The TCI values range from 0-100, whereas high values correspond to optimal vegetation conditions and low values indicate unfavorable vegetation conditions.
Copernicus Senwise RoseL-like imagery, Walloon Region, BE 4, 2025

The input RoseL-like imagery dataset is a copy of SAOCOM-1A SAR Stripmap dual pol (VH-VV) data collection over a sub-region of Wallon Region, Belgium, downloaded from saocom.asi.it. Coordinates are [5.36,50.20], [6.05,49.42]. Data are in the Single Look Complex (SLC - Level-1A) format suitable for InSAR/PolSAR processing. Data are acquired in descending (DSC) orbit and are given here in the SAR acquisition geometry (slant range, azimuth coordinates). Both extent and numbers of rows and columns vary a bit from one image to the other: values given here correspond to the 1st image of the collection. One geoprojected (.tif) image out of the collection is provided for information only, for allowing to locate the relevant area.