Help Privacy Policy Disclaimer
  Advanced SearchBrowse




Conference Paper

Sentinel-1 high resolution soil moisture


Peng,  Jian
Terrestrial Remote Sensing / HOAPS, The Land in the Earth System, MPI for Meteorology, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available

Mattia, F., Balenzano, A., Satalino, G., Lovergine, F., Loew, A., Peng, J., et al. (2017). Sentinel-1 high resolution soil moisture. In IGARSS 2017 - International Geoscience and Remote Sensing Symposium (pp. 5533-5536).

Cite as: https://hdl.handle.net/21.11116/0000-0000-AEA0-7
Existing global soil moisture products normally have spatial resolutions of tens of kilometers, which are too coarse for regional hydrological studies. To solve this problem, various downscaling methods have been proposed to enhance the spatial resolution of those soil moisture products. The aim of this study is to investigate the validity and robustness of a simple Vegetation Temperature Condition Index (VTCI) downscaling scheme over different climates and regions. Both polar orbiting (MODIS) and geostationary (MSG SEVIRI) satellite data are used to improve the spatial resolution of the European Space Agency's Water Cycle Multi-mission Observation Strategy and Climate Change Initiative (ESA CCI) soil moisture product. The results show that the downscaling method can significantly improve the spatial details of CCI soil moisture while maintain the accuracy of CCI soil moisture. The application of the scheme with different satellite platforms and over different regions further demonstrate the robustness and effectiveness of the proposed method. © 2017 IEEE.