Abstract | ||
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Global Navigation Satellite Systems- Reflectometry (GNSSR) is an emerging remote sensing technique that makes use of navigation signals as signals of opportunity in a multistatic radar configuration, with as many transmitters as navigation satellites are in view. GNSS-R sensitivity to soil moisture has already been proven from a ground-based and airborne experiments, but studies using space-borne data are still preliminary. This work presents a sensitivity study of Using TechDemoSat-1 GNSS-R data to soil moisture over different types of surfaces (i.e. vegetation covers). Despite the scattering in the data, which can be attributed to the temporal and spatial (footprint size) collocation mismatch with the SMOS and MODIS NDVI data, and errors in the land use data preliminary results show a good correlation with soil moisture. |
Year | DOI | Venue |
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2016 | 10.1109/IGARSS.2016.7729511 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
Keywords | Field | DocType |
GNSS-R, soil moisture, NDVI, TechDemoSat-1, SMOS | Meteorology,Radar,Vegetation,Satellite,Satellite navigation,Computer science,Remote sensing,Normalized Difference Vegetation Index,GNSS applications,Global Positioning System,Water content | Conference |
ISSN | Citations | PageRank |
2153-6996 | 1 | 0.37 |
References | Authors | |
0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Adriano Camps | 1 | 1050 | 218.43 |
Hyuk Park | 2 | 39 | 14.49 |
Miriam Pablos | 3 | 14 | 7.05 |
Giuseppe Foti | 4 | 1 | 1.04 |
Christine P. Gommenginger | 5 | 44 | 9.89 |
Pang-Wei Liu | 6 | 27 | 5.51 |
Jasmeet Judge | 7 | 47 | 11.78 |