Details

Autor(en) / Beteiligte

• Camps, Adriano
• Park, Hyuk
• Pablos, Miriam
• Foti, Giuseppe
• Gommenginger, Christine P.
• Liu, Pang-Wei
• Judge, Jasmeet

Titel

Sensitivity of GNSS-R Spaceborne Observations to Soil Moisture and Vegetation

Ist Teil von

• IEEE journal of selected topics in applied earth observations and remote sensing, 2016-10, Vol.9 (10), p.4730-4742

Ort / Verlag

Piscataway: IEEE

Erscheinungsjahr

2016

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Global navigation satellite systems-reflectometry (GNSS-R) 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 ground-based and airborne experiments, but studies using space-borne data are still preliminary due to the limited amount of data, collocation, footprint heterogeneity, etc. This study presents a sensitivity study of TechDemoSat-1 GNSS-R data to soil moisture over different types of surfaces (i.e., vegetation covers) and for a wide range of soil moisture and normalized difference vegetation index (NDVI) values. Despite the scattering in the data, which can be largely attributed to the delay-Doppler maps peak variance, the temporal and spatial (footprint size) collocation mismatch with the SMOS soil moisture, and MODIS NDVI vegetation data, and land use data, experimental results for low NDVI values show a large sensitivity to soil moisture and a relatively good Pearson correlation coefficient. As the vegetation cover increases (NDVI increases) the reflectivity, the sensitivity to soil moisture and the Pearson correlation coefficient decreases, but it is still significant.