Title :
Simultaneous retrievals of soil moisture and vegetation biomass from multi-configuration passive microwave measurements
Author :
Wigneron, J.-P. ; Chanzy, A. ; Calvet, J.C. ; Kerr, Y. ; Grosjean, O.
Author_Institution :
Bioclimatologie, INRA, Montfavet, France
Abstract :
A modeling approach is implemented to retrieve simultaneously soil and vegetation parameters from low-frequency microwave observations. The microwave observations were performed over a wheat field at L- and C-band. The model algorithm is based on a simple radiative transfer approach. The optical thickness τ is assumed to be proportional to the vegetation water content VWC. Two model parameters are used: rτ and Cpol. The parameter rτ is the ratio of the optical thickness at L- and C-band. The parameter C pol is used to parameterize τ as a function of view angle and polarization. Using the inversion algorithm based on microwave and thermal infrared measurements, both soil moisture and VWC are retrieved during the vegetation cycle and during a four-hour irrigation phase. The study shows the inversion algorithm can provide accurate estimates of both soil moisture and vegetation biomass. The analysis also clearly demonstrates the high potential of the low-frequency passive microwave observations to monitor soil and vegetation characteristics
Keywords :
UHF measurement; geophysical techniques; hydrological techniques; microwave measurement; moisture measurement; polarimetry; radiometry; remote sensing; soil; C-band; L-band; UHF SHF; agriculture crops; geophysical measurement technique; hydrology; land surface; microwave radiometry; model algorithm; multi-configuration passive microwave measurement; polarimetry; polarization; radiative transfer; remote sensing; soil moisture; terrain mapping; vegetation biomass; water content; wheat field; Biomass; Biomedical optical imaging; Irrigation; Microwave measurements; Moisture measurement; Optical polarization; Phase measurement; Soil measurements; Soil moisture; Vegetation;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.521745