Datasets


ESA CCI SMSoil moisture anomalies for the year 2018 derived from the ESA CCI COMBINED v04.5 product.

Description: The ESA CCI Soil Moisture product provides three daily products based on scatterometer data only (ACTIVE), radiometer data only (PASSIVE) and both (COMBINED). Additionally, a COMBINED break-adjusted dataset is available with the latest version release (v06.1; Preimesberger et al. 2021).

Data: FTP through official website

Coverage: Global; 1978 - 2020

Resolution: 0.25 degree; daily

Current version: v06.1

More informaton: Official website; CLIMERS project page


C3S SMAugust_2017_soil_moisture_anomalies.jpg

Description: Based on the processing algorithm of the ESA CCI SM, the C3S data products (PASSIVE, ACTIVE, COMBINED) are extended in near real time (NRT) every 10 days.

Data: Copernicus Climate Data Store

Coverage: Global; 1978 - NRT

Resolution: 0.25 degree; daily, dekadal (10-daily), monthly

Current version: v202012

More informatonCLIMERS project page


ISMNISMN-Datasets.png

Description: A harmonized and quality controlled global in-situ soil moisture database, operational since 2010 constantly expanded temporally as well as with additional networks.

Data: Soil moisture + 7 additional variables from upper soil layer until two meter depths (all dependent on the individual stations); stored in separate files (CEOP formatted).

Metadata: 3 additional metadata information stored for each station ( Harmonized World Soil Data, Köppen-Geiger Climate Class, CCI Landcover); additional soil information from provider stored in database (dependent on individual networks) 

Coverage: Global; 1952 – near real time

Resolution: point coordinate for each station

More information: Official website, CLIMERS project page


VODCA

VOD_titled.png Description: Vegetation Optical Depth describes the attenuation of radiation by plants. VOD is a function of frequency as well as vegetation water content, and by extension biomass. VOD has many possible applications in studies of the biosphere, such as biomass monitoring, drought monitoring, phenology analyzes or fire risk management.

Data: via Zenodo.org

Coverage: Global; 2002-2018 (C-band), 1997-2018 (X-band), 1987-2017 (Ku-band) 

Resolution:  0.25 degree; daily.

Current version: v1.0

More information: VODCA on Zenodo.org


VODCA2GPP

b1a3cc0240d61c0aa8b074a2237c29fdb111b95c61b82eff43d2bb104b6e3447_1.gif Description: Gross Primary Productivity (GPP) describes the amount of carbohydrates that is produced by vegetation's synthesis of CO2 and is therefore crucial in the assessment of the global carbon cycle. VODCA2GPP represents the first microwave remote sensing derived GPP dataset.

Data: researchdata.tuwien.ac.at/records/1k7aj-bdz35

Coverage: Global, 1988-2020 

Resolution: 0.25 degree, 8-daily

Current version: 1.0

More information: Dataset publication (Wild et al. 2021)