Title :
Forest parameters estimation from SAR and Landsat data using look-up table inversion
Author :
Guoqing Sun ; Hall, Forrest ; Ni, Wenjian ; Kun Fang ; Masek, Jeffrey ; Fatoyinbo, Temilola ; Peddle, Derek ; Hilker, Thomas
Author_Institution :
Dept. of Geogr. Sci., Univ. of Maryland, College Park, MD, USA
Abstract :
Radiative transfer (RT) models were used to simulate reflectance at TM bands and radar beckscattering coefficients at L-bands at acquisition conditions of LANDSAT and PALSAR on the acquisition dates. The forest stands aged from 5 to 250 years simulated from a forest growth model ZELIG at test sites were used to feed the RT models to build a look-up table. A simulated optical and SAR dataset was first used to test the LUT method and the results were promising. SAR data is better for biomass estimation and optical for canopy fractional cover estimation. Combined use of the data didn´t improve the biomass estimation and slightly improved the fractional cover estimation. The inversion results from real TM and PALSAR data were presented and discussed.
Keywords :
radiative transfer; remote sensing by radar; synthetic aperture radar; vegetation; L-bands; LANDSAT data; LUT method; PALSAR data; SAR dataset; ZELIG forest growth model; biomass estimation; canopy fractional cover estimation; forest parameters estimation; forest stands; optical dataset; radar beckscattering coefficients; radiative transfer models; Biological system modeling; Biomass; Radar; Reflectivity; Remote sensing; Table lookup; Vegetation;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6946356