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Catalog

Browse the Hub's harmonized datasets — all with consistent metadata, licensing, and cloud-native access.

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Spatial
CHIRTS-ERA5 Daily
By Climate Hazards Center, UC Santa Barbara
CHIRTS-ERA5 daily provides global, high-resolution (0.05°) daily maximum and minimum 2-meter air temperature estimates from 1980 to present. It blends ERA5 reanalysis with station observations using the CHIRTS algorithm, producing a consistent long-term record suitable for climate trend analysis, heat-stress monitoring, and agricultural modeling. The primary access is an analysis-ready Zarr store for bounding-box and time-range reads; the source daily GeoTIFFs from the Climate Hazards Center are the alternative.
World · 3 arc-minutesCC-BY-4.0 · 1980 – present
Spatial
Copernicus DEM global digital surface model, 30 m and 90 m
By European Space Agency (ESA), Copernicus programme
Global digital surface model (DSM) of the Earth's surface including buildings, infrastructure and vegetation, derived from the TanDEM-X radar mission and edited and infilled by Airbus Defence and Space for the European Space Agency (ESA) under the Copernicus programme. Two public instances: GLO-30 at 1 arc-second (~30 m) and GLO-90 at 3 arc-seconds (~90 m), both as orthometric heights in metres over the EGM2008 geoid. The standard global elevation base for terrain derivatives, hydrological conditioning and elevation covariates. Sinergise (Sentinel Hub) republishes each instance on AWS Open Data as one cloud-optimized GeoTIFF per 1x1 degree tile with a static SpatioTemporal Asset Catalog (STAC). The Hub publishes a GDAL tile index (GTI) per instance that opens all tiles as one global raster, and a STAC GeoParquet snapshot of the Earth Search items for each instance that lists the tiles with their footprints and grid metadata. No data is copied.
World · 1 arc-secondLicenseRef-Copernicus-DEM · 2011 – 2015
Spatial
ESA WorldCover 2021 global land cover at 10 m
By European Space Agency (ESA)
Global land cover map for the year 2021 at 10 m, classifying every land pixel between 60 degrees south and 84 degrees north into 11 classes from Sentinel-1 radar and Sentinel-2 optical time series. Produced by the ESA WorldCover consortium for the European Space Agency (ESA), with a validated global overall accuracy of 76.7%. Used for land cover stratification and masking, cropland and built-up extent baselines, and habitat and exposure mapping. AWS Open Data serves the map as 2,651 cloud-optimized GeoTIFF tiles of 3x3 degrees, and the Hub publishes a GDAL virtual raster (VRT) that opens them as one global mosaic.
World · 0.3 arc-secondsCC-BY-4.0 · 2021
Spatial
Monthly and Seasonal Precipitation from CHIRPS v3 (Africa)
By Climate Hazards Center, UC Santa Barbara
Total precipitation (PTOT) from the CHIRPS v3.0 monthly Africa product, delivered as per-pixel monthly Cloud Optimized GeoTIFFs and per-year rolling 3-month (seasonal) sums, 1981 to present. The monthly files hold the same values as CHIRPS on the same 0.05° grid, with the -9999 sentinel masked and overviews added. The seasonal sums cover the twelve rolling tri-month windows (JFM, FMA, ..., DJF) and are derived from the monthly files.
Africa · 3 arc-minutesCC-BY-4.0 · 1981 – present
Spatial
3- and 12-month SPEI from CHIRPS v3 and CHIRTS-ERA5 (Africa)
By Alliance of Bioversity International and CIAT
Standardized Precipitation-Evapotranspiration Index (SPEI) at 3-month and 12-month accumulation, as per-pixel monthly Cloud Optimized GeoTIFFs over Africa, 1981 to present. The index is computed from the climatic water balance (CHIRPS v3 precipitation minus Hargreaves potential evapotranspiration from CHIRTS-ERA5 temperature) on the 0.05° CHIRPS grid, fitted to a log-logistic distribution over the 1991-2020 reference period. SPEI-03 tracks seasonal and agricultural drought; SPEI-12 tracks hydrological and multi-year drought.
Africa · 3 arc-minutesCC-BY-4.0 · 1981 – present
Spatial
AgERA5 daily agrometeorological indicators
By Copernicus Climate Change Service (C3S), ECMWF
Daily surface weather for agriculture, 1979 to present, on a global 0.1° grid. AgERA5 aggregates the hourly ECMWF ERA5 reanalysis to local-time days and corrects it to the finer topography, land use and coastlines of ECMWF's 0.1° HRES model. Its 27 variables (air and dew point temperature, precipitation, solar radiation, humidity, vapour pressure, wind, cloud cover, snow, FAO-56 reference evapotranspiration) match the inputs of most crop and agro-ecological models. The primary access is ECMWF's two analysis-ready Zarr stores, one chunked for time series at points and one for maps of a region; a Google Earth Engine copy and the CDS API are alternatives.
World · 6 arc-minutesCC-BY-4.0 · 1979 – present
Spatial
CHIRPS v3 Daily Precipitation
By Climate Hazards Center, UC Santa Barbara
CHIRPS (Climate Hazards center InfraRed Precipitation with Stations), version 3, is a quasi-global daily precipitation dataset produced by the Climate Hazards Center (UC Santa Barbara), blending 0.05° satellite infrared cold-cloud-duration imagery with in-situ station observations. It spans 1981 to near-present, covering 60°S–60°N at all longitudes, and is widely used for drought monitoring, hydrological modeling, and trend/seasonal analysis. Values represent daily accumulated precipitation in millimeters.
World · 3 arc-minutesCC-BY-4.0 · 1981 – present
Spatial
CROPGRIDS crop and harvested area for 2020
By Food and Agriculture Organization of the United Nations
CROPGRIDS maps physical crop area and harvested area for 173 crops circa 2020 on a global 0.05 degree grid (about 5.6 km at the equator), fusing 27 gridded crop maps, subnational statistics from 52 countries, and FAOSTAT 2020 national totals. This is the FAO release, regenerated with FAO's Python pipeline, holding 171 of the crops as one GeoTIFF per crop and mapset. Crop area counts land once a year; harvested area counts every harvest, so it can exceed crop area under multiple cropping.
World · 3 arc-minutesCC-BY-4.0 · 2020
Tabular
EcoCrop crop ecological requirements database
By Food and Agriculture Organization of the United Nations
Expert-compiled ecological requirements for 2,568 plant species from the FAO EcoCrop database: optimal and absolute ranges of temperature, rainfall, soil pH, latitude and altitude, killing temperatures, crop cycle length in days, plus categorical soil, light, photoperiod, climate zone and life-form attributes. One row per species, keyed by EcoPort code. The table is a cleaned copy of the CSV snapshot published by the OpenCLIM EcoCrop suitability model (UK Centre for Ecology & Hydrology), with the FAO column codes kept so values map directly onto EcoCrop-type suitability models.
CC-BY-4.0
Tabular
NOAA CPC Indian Ocean Dipole Mode Index (DMI)
By NOAA Climate Prediction Center
Monthly Indian Ocean Dipole Mode Index published by the NOAA Climate Prediction Center: the sea-surface-temperature anomaly of the western tropical Indian Ocean (50E-70E, 10S-10N) minus that of the south-eastern tropical Indian Ocean (90E-110E, 10S-0), computed from ERSSTv6 against a 1991-2020 climatology. Both poles are published alongside the index.
CC0-1.0 · 1950 – present
Tabular
NOAA CPC Relative Oceanic Nino Index (RONI)
By NOAA Climate Prediction Center
The Nino 3.4 sea-surface-temperature anomaly expressed relative to the tropical-mean SST anomaly, published monthly by the NOAA Climate Prediction Center as overlapping three-month windows.
CC0-1.0 · 1950 – present
Spatial
Gridded livestock density for 2020 (GLW4)
By Food and Agriculture Organization of the United Nations
Gridded Livestock of the World, version 4 (GLW 4) maps modelled densities of six livestock species: buffalo, cattle, sheep, goats, pigs, and chickens. This data is for the 2020 reference year. Densities are estimated with a Random Forest model that downscales harmonized subnational census counts onto a regular grid, so the values represent modelled distributions rather than direct observations. Values are head per km².
World · 5 arc-minutesCC-BY-4.0 · 2020
Spatial
JRC global river flood hazard maps (CEMS-GloFAS)
By European Commission Joint Research Centre (JRC), Copernicus Emergency Management Service
Modelled riverine flood inundation along the global river network for seven return periods, 10 to 500 years, at 3 arc-seconds (~90 m), from the European Commission Joint Research Centre (JRC) for the Copernicus Emergency Management Service (CEMS). River flows come from the LISFLOOD hydrological model driven by the Global Flood Awareness System (GloFAS) v4.0 reanalysis; inundation is simulated with the LISFLOOD-FP hydraulic model. Each return period has a water-depth map in metres and a hazard map of four depth classes plus not flooded, with two auxiliary masks: permanent water bodies used to patch the maps, and spurious depths where the model is known to over-predict. Source Cooperative serves the maps as cloud-optimized GeoTIFF tiles, and the Hub publishes GDAL virtual raster (VRT) mosaics with one band per return period and STAC GeoParquet indexes that open those tiles in place.
World · 3 arc-secondsCC-BY-4.0
Spatial
MAPSPAM 2020
By International Food Policy Research Institute (IFPRI)
Global Spatially-Disaggregated Crop Production Statistics Data for 2020 Version 2.0 Release 2, represented as a gridded crop production data cube. The record describes crop area, harvested area, production, and yield by crop and production technology at 5 arc-minute resolution.
World · 5 arc-minutesCC-BY-SA-4.0 · 2020
Spatial
NPKGRIDS crop-specific fertilizer application rates circa 2020
By Food and Agriculture Organization of the United Nations
NPKGRIDS maps synthetic fertilizer application rates of nitrogen (N), phosphorus (as P2O5) and potassium (as K2O) for 173 crops circa 2020 (a 2015 to 2020 average) on a global 0.05 degree grid (about 5.6 km at the equator), in kilograms per hectare of harvested area. Eight fertilizer datasets are fused and spread over the CROPGRIDS crop masks. This is the FAO release, regenerated with FAO's Python pipeline, holding 167 crops for all three nutrients plus alfalfa for N and P, as one GeoTIFF per nutrient and crop.
World · 3 arc-minutesCC-BY-4.0 · 2020
Spatial
WRB reference soil group probability maps (SoilGrids 2.0)
By ISRIC - World Soil Information
Probability of occurrence of each of 30 World Reference Base (WRB 2006) reference soil groups, and the most probable group per cell, for the globe on a 250 m grid. These are the soil classification maps of SoilGrids 2.0, but they are not new predictions: ISRIC summed the qualifier-level class probabilities predicted in the SoilGrids250m 2017 release (multinomial neural network and random forest ensemble on about 150,000 WoSIS profiles) into one map per reference soil group, and took the highest as the most probable group. Anthrosols, Technosols and Retisols are not included. Each map is a GDAL virtual raster (VRT) that mosaics a folder of GeoTIFF tiles in place, so it opens remotely with GDAL-based tools.
World · 7.5 arc-secondsCC-BY-4.0 · 2020
Spatial
SoilGrids 2.0 global soil property maps
By ISRIC - World Soil Information
SoilGrids 2.0 predicts eleven soil properties for the globe on a 250 m grid at six standard depth intervals from 0 to 200 cm: bulk density, cation exchange capacity, coarse fragments, clay, sand, silt, total nitrogen, pH in water, organic carbon content, organic carbon density, and organic carbon stock (0 to 30 cm only). Quantile regression forests are fitted on about 240,000 soil profiles from the WoSIS database and some 400 environmental covariates. Each property, depth and statistic is one map, with the mean, the median, the 5th and 95th percentiles of the prediction distribution, and a relative uncertainty layer. ISRIC serves every map as a GDAL virtual raster (VRT) that mosaics a folder of GeoTIFF tiles in place, so the maps open remotely with GDAL-based tools without downloading them.
World · 250 mCC-BY-4.0 · 2020

Catalog

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