Title :
Land Geophysical Parameters Retrieval Using the Interference Pattern GNSS-R Technique
Author :
Rodriguez-Alvarez, Nereida ; Camps, Adriano ; Vall-llossera, Merce ; Bosch-Lluis, Xavier ; Monerris, Alessandra ; Ramos-Perez, Isaac ; Valencia, Enric ; Marchan-Hernandez, Juan Fernando ; Martinez-Fernandez, Jose ; Baroncini-Turricchia, Guido ; Pérez-Guti
Author_Institution :
Remote Sensing Lab., Polytech. Univ. of Catalonia (UPC), Barcelona, Spain
Abstract :
In the past years, the scientific community has placed a special interest in remotely sensing soil moisture and vegetation parameters. Radiometry and radar techniques have been widely used for years. Global Navigation Satellite Systems opportunity signals Reflected (GNSS-R) over the earth´s surface are younger, but they have already shown their potential to perform these observations. This paper presents a GNSS-R technique, based on Global Positioning System (GPS) measurements, that allows the retrieval of several geophysical parameters from land surfaces. This technique measures the power of the interference signal between the direct GPS signal and the reflected one after scattering over the land, so it is called Interference Pattern Technique (IPT). This paper presents the results obtained after applying the IPT for topography, soil moisture, and vegetation height retrievals over vegetation-covered soils.
Keywords :
Global Positioning System; data acquisition; radar interference; radar interferometry; radiometry; remote sensing by radar; soil; terrain mapping; vegetation; vegetation mapping; Earth surface; GPS measurement; Global Navigation Satellite Systems opportunity signals Reflected; Global Positioning System; interference pattern GNSS-R technique; land geophysical parameter retrieval; land surface; radar technique; radiometry; remote sensing; soil moisture parameter; vegetation height retrieval; vegetation parameter; vegetation-covered soil; Geophysical measurements; Global Positioning System; Interference; Land surface; Radar remote sensing; Radiometry; Soil moisture; Spaceborne radar; Surface topography; Vegetation; Global Navigation Satellite Systems opportunity signals Reflected (GNSS-R); interferometric pattern; soil moisture; topography; vegetation;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2010.2049023