Title :
ADvances in radar forward and inverse scattering models of subsurface and subcanopy soil moisture and their role for the AirMOSS mission
Author :
Moghaddam, Mahta ; Tabatabaeenejad, Alireza ; Burgin, Mariko ; Duan, Xueyang
Author_Institution :
Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
The Airborne Observatory of Subcanopy and Subsurface (AirMOSS) is one of the five Earth Venture-1 missions selected in May 2010, and seeks to improve the estimates of the north American net ecosystem carbon exchange (NEE) through high-resolution observations of root zone soil moisture (RZSM). To obtain estimates of RZSM and assess its heterogeneities, AirMOSS will fly a P-band (430 MHz) synthetic aperture radar (SAR) over 2500 km2 areas within nine major biomes of north America. Retrieval of RZSM in the presence of substantial vegetation requires the construction of accurate radar scattering models that account for diverse vegetation conditions as well as subsurface inhomogeneities. In this paper we provide a summary of recent advances in this area, emphasizing several coherent and incoherent models of scattering from multilayered inhomogeneous rough surfaces, as well as strategies for using these forward models in retrieval algorithms.
Keywords :
ecology; inverse problems; remote sensing by radar; soil; synthetic aperture radar; vegetation; vegetation mapping; AD 2010 05; AirMOSS mission; Airborne Observatory of Subcanopy and Subsurface; Earth Venture-1 missions; North America; P-band synthetic aperture radar; coherent scattering model; diverse vegetation conditions; frequency 430 MHz; high-resolution observation data; incoherent scattering model; inverse scattering models; multilayered inhomogeneous rough surfaces; net ecosystem carbon exchange; radar scattering models; retrieval algorithms; root zone soil moisture; subcanopy soil moisture; subsurface inhomogeneities; subsurface soil moisture; Atmospheric modeling; Biological system modeling; Scattering; Soil moisture; Synthetic aperture radar; Vegetation mapping; Forest scattering; multispecies vegetation; synthetic aperture radar (SAR) backscattering; wave theory;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351307