A review of spatial downscaling of satellite remotely sensed soil moisture
Max Planck Institute for Meteorology · Ludwig-Maximilians-Universität München · +2 more institutions
Abstract
Abstract Satellite remote sensing technology has been widely used to estimate surface soil moisture. Numerous efforts have been devoted to develop global soil moisture products. However, these global soil moisture products, normally retrieved from microwave remote sensing data, are typically not suitable for regional hydrological and agricultural applications such as irrigation management and flood predictions, due to their coarse spatial resolution. Therefore, various downscaling methods have been proposed to improve the coarse resolution soil moisture products. The purpose of this paper is to review existing methods for downscaling satellite remotely sensed soil moisture. These methods are assessed and…
Citation impact
- FWCI
- 32.21
- Percentile
- 100%
- References
- 192
Authors
4Topics & keywords
- Downscaling
- Environmental science
- Remote sensing
- Water content
- Satellite
- Satellite imagery
- Flood myth
- Meteorology
- Zero hunger