Title :
A Vegetation Correction Methodology Applied for Soil Moisture Retrieval from C-Band Radar Observations
Author :
Joseph, A.T. ; O´Neill, P.E. ; van der Velde, R. ; Lang, R. ; Gish, T.
Author_Institution :
Flight Center, Hydrospheric & Biospheric Sci. Lab., Greenbelt, MD
Abstract :
This research presents a methodology to correct backscatter (sigmadeg) observations for vegetation effects. The proposed methodology is based on the concept that the ratio between the surface scattering over the total amount of scattering (sigmadegsurface/sigmadegsoil) is affected only by the vegetation and can be described as a function of the vegetation water content. The data set used in this study was collected at USDA´s Optimizing Production Inputs for Economic and Environmental Enhancement (OPE3) experimental site in Beltsville, Maryland (USA) over a corn growth cycle in 2002 and includes C-band (4.75 GHz) HH- and VV-polarized observations acquired at incidence angles of 15, 35 and 55 degrees. During this period the corn crops reached peak biomass of 6.6 kg m-2 and a soil moisture range varying from 0.02 to 0.26 cm3cm-3. The results show that through application of the proposed vegetation correction methodology the soil moisture retrieval accuracy can be improved from 0.033 to 0.032 cm3cm-3, 0.049 to 0.033 cm3cm-3, and 0.079 to 0.047 cm3cm-3 at incidence angles of 15, 35 and 55 degrees, respectively.
Keywords :
backscatter; crops; geophysical techniques; moisture; remote sensing by radar; soil; AD 2002; Beltsville; C-band radar observation; HH- polarized observation; Maryland; OPE3 experiment; Optimizing Production Inputs for Economic and Environmental Enhancement; USA; USDA; VV- polarized observation; backscatter; corn growth cycle; frequency 4.75 GHz; soil moisture; surface scattering; vegetation correction method; vegetation water content; Biomass; Moisture measurement; Production; Radar measurements; Radar scattering; Soil measurements; Soil moisture; Surface soil; US Department of Agriculture; Vegetation mapping; Vegetation correction; radar; retrieval algorithms; soil moisture;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4779012