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• W2369607360 abstract "The effective absorption of radiation in the visible spectral range by chloroplasts and the high reflectance of the near infrared radiation by the cell walls of the plants are appropriate spectral features to estimate green biomass and LAI and etc. In this paper,forest biomass in western Guangdong,China was estimated by using Landsat TM data.First,field measurements of stem volume( V ) were obtained from 67 plots(30m×30m),including 28 plots for broadleaved forests and 37 plots for coniferous forests,respectively.All of plots were accurately positioned using Global Positioning System(Magellan GPS Field Pro V). The Landsat TM image for western Guangdong area was acquired on May 8,1995.The satellite image was processed in the following steps: ①radiometric calibration using dark|pixel subtraction.②geometric correction to a map coordinate system in the Gauss|Kruger projection using ground control points,and the correction was based on the polynomial transformation.The mean square error of the method was about 10 m.The re|sampling method was nearest neighbor.The spectral features were given for the field plots by selecting the closest pixel to the plot.The spectral features included the spectral digital number( DN ) values of TM1 to TM7,NDVI and RVI.NDVI(=(TM4-TM3)/(TM4+TM3)) is the normalized difference vegetation index. RVI(=TM4/TM3) is the ratio vegetation index.;Because of the significant difference in spectral features between broadleaved trees and coniferous trees,the biomass of broadleaved forest and coniferous forest should be estimated by different models.Thus,using the supervised classification method,the whole area was firstly classified into two types:non|forest area and forest area,and then the forest area was further classified into broadleaved forests and coniferous forests.In order to select appropriate facters as variables for the stem volume spectral models,the correlations between V and 7 bands, NDVI,RVI and their combinations were calculated.According to these selected factors,the multiple linear and nonlinear models of stem volume ( V ) as a function of one or more bands or indices,such as NDVI,RVI and etc.,were tested by using the stepwise regression analysis technique,respectively.The most optimal models were chosen among the established models to model the stem volume.The coniferous forest stem volume spectral model was: V =-33354 7+254148 1/ TM 3+7360 3·ln( TM 3),and the broadleaved forest stem volume spectral model was: V=9870.2+86.9·TM3-3669.2 ·ln( TM 3)+3.2·( TM1+TM2+TM3+NDVI+RVI ).Then,the forest biomass was estimated by the model:Biomass total (kg·hm+{-2})=720(kg·m -3 )× V (m 3·hm -2 ). The results showed that the forest cover ratio in western Guangdong was about 47 8% if the effects of the clouds and the shadow were neglected.The forest cover to the north of West River was significant larger than that to the south.The broadleaved forests were mainly distributed to the north of West River,while the coniferous forests were mainly distributed to the south of the river.The forest biomass in western Guangdong varied from 23～451t·hm -2 ,and the total forest biomass was about 9 22×10 7 t in the whole area of about 19 050 km+2.The forest biomass in the northern part of West River was higher than that in the southern part.The forest biomasss with more than 400t·hm -2 were mainly found in the Heishiding Nature Reserve and its nearby region,Dinghushan,the northeast of Deqing county and the east of Guangning county." @default.
• W2369607360 created "2016-06-24" @default.
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• W2369607360 date "2002-01-01" @default.
• W2369607360 modified "2023-09-25" @default.
• W2369607360 title "Estimating Forest Biomass in Western Guangdong Using Landsat TM Data" @default.
• W2369607360 hasPublicationYear "2002" @default.
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