Forest Canopy Density RS Inversion Research Based on LAI

doi:10.13466/j.cnki.lyzygl.2014.01.010

Abstract

Abstract: With Miyun Banchengzi as research area and TM images as data sources,RS technology was used to extract the normalized difference vegetation index.According to the measured real leaf area index and land utilization information the concentration coefficients are determined and effective leaf area index calculated.The NDVI and effective leaf area index are unary regression analysis.Finally John 2007 canopy density estimation model is used for canopy density estimation,and the estimation results are accuracy test.The results show that the NDVI high correlation with effective leaf area index and can be used in the estimation of effective leaf area index.Using effective leaf area index and comprehensively considering leaf inclination angle the estimation precision of canopy density is high.

Key words: RS, leaf area index, NDVI, canopy density

CLC Number:

TP79
S757.2

NIU Zhanyong, FENG Juan, GU Jiancai, LU Guiqiao. Forest Canopy Density RS Inversion Research Based on LAI[J]. FOREST RESOURCES WANAGEMENT, 2014, (1): 46-51.

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