Title :
Monitoring of hydrologic index at watershed scale from ERS/SAR measurements and LANDSAT data during a vegetation cycle
Author :
Quesney, A. ; Taconet, O. ; Normand, M. ; Loumagne, C. ; Le Hégarat-Mascle, S.
Author_Institution :
CETP/CNRS, Velizy, France
Abstract :
Soil moisture indices, at the Orgeval watershed scale, have been derived, from 25 ERS/SAR images, during two agricultural years (November 1995-October 1997). The accuracy of soil moisture indices derived over wheat fields is equal to ±3% in a 95% confidence interval. For a wheat crop, a first-order radiative transfer model has been used to quantify vegetation contributions during a whole year. From May to June, we have underlined that the backscattering radar signal is no more related to soil moisture, vegetation contributions being preponderant. For the other periods, an empirical linear relation has been found between corrected radar measurements performed over wheat fields and volumetric soil moistures
Keywords :
agriculture; hydrological techniques; moisture; radar imaging; remote sensing by radar; soil; synthetic aperture radar; AD 1995 11 to 1997 10; ERS/SAR measurements; LANDSAT data; Orgeval watershed scale; agriculture; backscattering radar signal; hydrologic index; radiative transfer model; soil moisture indices; vegetation contributions; vegetation cycle; wheat crop; wheat fields; Crops; Hydrologic measurements; Hydrology; Monitoring; Radar; Remote sensing; Satellites; Soil measurements; Soil moisture; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.702817
