Study on Estimation Model and Dynamic Change of Urban Forest Carbon Storage Based on RBF and RS    ——A Case Study in Nanjing

Abstract

Abstract: NDVI and SWVI derived from Landsat TM images are blent into Radial Basis Function to generate an estimation model of forest carbon storage in Nanjing,and this model is compared with Regression Model.The results show that:(1)The precision of Radial Basis Function Model is 74.62%,it’s more stable and has higher precision than Regression Model,so it’s a relatively simple,easy-to-operate and accurate estimation method for carbon storage of forest;(2)From spatial distribution pattern perspective,the forest carbon storage in Nanjing is distributed extensively,but not even regionally.From time dynamic change perspective,during the period of 1988 to 2005,the forest carbon storage of each district declined in different degrees,the descent rates were listed in a low-to-high order:Qixia,Xuanwu,Xiaguan,Yuhuatai,Gulou,Baixia,Qinhuai and Jianye.

Key words: carbon storage of forest, RBF network, RS, Nanjing

CLC Number:

S718.55
TP79

LING Ziyan, HUANG Jin. Study on Estimation Model and Dynamic Change of Urban Forest Carbon Storage Based on RBF and RS ——A Case Study in Nanjing[J]. FOREST RESOURCES WANAGEMENT, 2013, (4): 120-125.

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Study on Estimation Model and Dynamic Change of Urban Forest Carbon Storage Based on RBF and RS ——A Case Study in Nanjing

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