Improving the Estimation of Above Ground Biomass Using Dual Polarimetric PALSAR and ETM Data in the Hyrcanian Mountain Forest IranReportar como inadecuado




Improving the Estimation of Above Ground Biomass Using Dual Polarimetric PALSAR and ETM Data in the Hyrcanian Mountain Forest Iran - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

1

Remote Sensing Group, Institute of Geology, TU Bergakademie Freiberg TUBAF, Bernhard-von-Cotta-Str. 2, D-09599 Freiberg, Germany

2

Remote Sensing Group, Helmholtz Institute Freiberg of Resource Technology, Halsbruecker Str. 34, D-09599 Freiberg, Germany





*

Author to whom correspondence should be addressed.



Abstract The objective of this study is to develop models based on both optical and L-band Synthetic Aperture Radar SAR data for above ground dry biomass hereafter AGB estimation in mountain forests. We chose the site of the Loveh forest, a part of the Hyrcanian forest for which previous attempts to estimate AGB have proven difficult. Uncorrected ETM+ data allow a relatively poor AGB estimation, because topography can hinder AGB estimation in mountain terrain. Therefore, we focused on the use of atmospherically and topographically corrected multispectral Landsat ETM+ and Advanced Land-Observing Satellite-Phased Array L-band Synthetic Aperture Radar ALOS-PALSAR to estimate forest AGB. We then evaluated 11 different multiple linear regression models using different combinations of corrected spectral and PolSAR bands and their derived features. The use of corrected ETM+ spectral bands and GLCM textures improves AGB estimation significantly adjusted R2 = 0.59; RMSE = 31.5 Mg-ha. Adding SAR backscattering coefficients as well as PolSAR features and textures increase substantially the accuracy of AGB estimation adjusted R2 = 0.76; RMSE = 25.04 Mg-ha. Our results confirm that topographically and atmospherically corrected data are indispensable for the estimation of mountain forest’s physical properties. We also demonstrate that only the joint use of PolSAR and multispectral data allows a good estimation of AGB in those regions. View Full-Text

Keywords: Landsat7-ETM+; ALOS-PALSAR; L-band; above ground biomass AGB; DBH; linear multiple regression; topographic effects; Hyrcanian mountainous forest; Iran Landsat7-ETM+; ALOS-PALSAR; L-band; above ground biomass AGB; DBH; linear multiple regression; topographic effects; Hyrcanian mountainous forest; Iran





Autor: Sara Attarchi 1,* and Richard Gloaguen 1,2

Fuente: http://mdpi.com/



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