Paper Info
Title
Forest stand level correlation analysis of ALOS-1 PALSAR signatures
Abstract
In this paper we analyze the effects of polarization, environmental conditions and forest structure upon the backscatter response of forested stands. This analysis is based upon a time series of ALOS-1 PALSAR images acquired over our study site in Xunke County, Heilongjiang Province, China. Based on six scenes, we analyzed the polarization and environment conditions on the forest stands. Backscatter coefficients of HV channel had a greater dynamic range than HH channel. HV channel was less influenced by weather and wind speed conditions. Our observations found canopy density greatly influenced the forest stand backscatter. Backscatter coefficient showed weak correlations to canopy density, mean tree height and mean diameter at breast height (DBH). Correlations were much stronger when the forest stands were grouped with canopy density or mean tree height. Before grouping the highest correlation coefficient between backscatter coefficients and tree height was 0.377, the value for HV image acquired on August 07, 2007. After grouping these forest stands by canopy density, the correlation was 0.95 to tree height. We also analyzed the correlations with two different tree species, and obtained similar results.
Year
DOI
Venue
2014
10.1109/IGARSS.2014.6946938
IGARSS
Keywords
DocType
ISSN
synthetic aperture radar,ALOS-1 PALSAR images,Heilongjiang province,breast height,ALOS-1 PALSAR signatures,China,canopy density,forest stand level correlation analysis,remote sensing by radar,Xunke County,mean tree height,radar,weather conditions,HH channel,mean diameter,HV channel backscatter coefficients,wind speed conditions,vegetation,polarization effects,Backscatter coefficient
Conference
2153-6996
Citations 
PageRank 
References 
0
0.34
2
Authors
5
Name
Order
Citations
PageRank
Wangfei Zhang100.34
David G. Goodenough200.34
Ashlin Richardson352.87
Erxue Chen43617.10
Zengyuan Li55825.14