6533b821fe1ef96bd127c281
RESEARCH PRODUCT
SENTINEL-1 for wheat mapping and soil moisture retrieval
P. StedutoMichele RinaldiG. SatalinoJ. MorenoAnna BalenzanoF. Mattiasubject
Soil mapSynthetic aperture radarDigital soil mappingcrop mapsRange (statistics)Environmental scienceSentinel-1soil moisture contentTime seriesScale (map)Water contentRoot-mean-square deviationRemote sensingdescription
The main objective of this study is to assess the use of Sentinel-1 (S-1) data for surface soil moisture (SSM) retrieval and wheat mapping (WM) at high spatial resolution (e.g. 100–500m), which constitute valuable information for improving crop yield forecast at large scale. A knowledge based classification method and a SSM retrieval algorithm, developed in view of the European Space Agency Sentinel-1 mission, have been applied to a time series of S-1A data collected from October 2014 to April 2015 over a well-documented agricultural site in southern Italy. In particular, observations of SSM content recorded by a network of ground stations deployed in an experimental farm have been used to test the accuracy of the retrieved SSM values. First results indicate an rms error between 5% and 6%. However, the range of observed SSM values is still quite limited and, therefore, longer time series are needed to investigate the retrieval performance over the full range of SSM values.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2015-07-01 |