Scientists at VanderSat have been working on the subject of remote sensing of soil moisture for decades. In a scientific setting we work together with the world's leading institutions to produce a free and open coarse (25x25KM) dataset for anyone who wants to work with soil moisture data. With over 9000 users it is an important dataset for hundreds of climate studies globally.
The important role of soil moisture for the environment and climate system is well known. Soil moisture influences hydrological and agricultural processes, runoff generation, drought development and many other processes. It also impacts on the climate system through atmospheric feedbacks. Soil moisture is a source of water for evapotranspiration over the continents, and is involved in both the water and the energy cycles. Soil moisture was recognised as an Essential Climate Variable (ECV) in 2010.
The Soil Moisture CCI project is part of the ESA Programme on Global Monitoring of Essential Climate Variables (ECV), better known as the Climate Change Initiative (CCI), initiated in 2010 and producing an updated soil moisture product every year. The ESA CCI Soil moisture product has contributed to hundreds of hydrological and climatological studies worldwide, as well as the annual BAMS' "State of the Climate" reports.
CCI Soil Moisture produces:
- Annually algorithmically updated global climate data record of soil moisture spanning over 40 years.
- 3 separate soil moisture products derived from active, passive and combined (active + passive) sensors.
- 8 public releases to date, each updated with new sensors and extended time series.
The dataset injests soil moisture datasets derived from the sensors listed in the figures below. In particular, the following datasets are used (at ESA CCI SM v04.5):
- ASCAT-A and -B data are generated through the HSAF soil moisture project which can be accessed on the EUMETSAT HSAF soil moisture website. At v04.5, data records H113 and H114 are injested.
- ERS data is processed by the Microwave Remote Sensing Group at TU Wien.
- All passive datasets are processed using the LPRM v5 and v6 algorithms, designed and implemented by Vandersat.