| 6种地形校正方法对雷竹林地上生物量遥感估算的影响 |
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| 引用本文： | 董德进,周国模,杜华强,徐小军,崔瑞蕊,沈振明.6种地形校正方法对雷竹林地上生物量遥感估算的影响[J].林业科学,2011,47(12). |
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| 作者姓名： | 董德进 周国模 杜华强 徐小军 崔瑞蕊 沈振明 |
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| 作者单位： | 1. 浙江省森林生态系统碳循环与固碳减排重点实验室 临安 311300;浙江农林大学环境与资源学院 临安 311300
2. 浙江省临安市林业技术服务总站 临安 311300 |
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| 基金项目： | 国家林业局948项目(2008-4-49); 国家自然科学基金项目(30700638,30972356) |
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| 摘 要： | 结合野外调查数据和Landsat 5 TM影像,分析6种地形校正方法(Teillet -回归,Cosine,C,SCS,SCS+C和Minnaert)对雷竹林地上生物量遥感估算的影响.结果表明:1)除Cosine和SCS方法存在校正过度现象,其余4种地形校正方法均具有良好的校正效果；2)6种地形校正方法均可提高TM4,TM5与地上生物量的相关性,且RVI,NDVI和SAVI这3种植被指数与生物量之间的相关性也得到改善；3)与原始影像相比,6种地形校正后的遥感数据都能不同程度地提高雷竹林生物量估算精度,以Teillet -回归校正后所建雷竹林地上部分生物量估算模型精度最高,相关系数从0.441提高到0.687,RMSE降低17％左右；4)尽管Cosine校正最大程度地提高了TM4,TM5与地上生物量的相关关系,但Cosine方法存在校正过度问题,Cosine校正后雷竹林地上生物量遥感估算模型精度反而略低于Teillet -回归校正；5)虽然地形校正可提高植被指数与雷竹林地上生物量之间的相关性,但所选5种植被指数均未入选雷竹林地上生物量遥感估算模型的变量,这与雷竹林较高的密度有关.
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| 关 键 词： | 地形校正 雷竹 植被指数 生物量 遥感估算 |
Effects of Topographic Correction with 6 Correction Models on Phyllostachys praecox Forest Aboveground Biomass Estimation |
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| Dong Dejin
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Zhou Guomo
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Du Huaqiang
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Xu Xiaojun
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Cui Ruirui
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Shen Zhenming.Effects of Topographic Correction with 6 Correction Models on Phyllostachys praecox Forest Aboveground Biomass Estimation[J].Scientia Silvae Sinicae,2011,47(12). |
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| Authors: | Dong Dejin Zhou Guomo Du Huaqiang Xu Xiaojun Cui Ruirui Shen Zhenming |
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| Institution: | Dong Dejin1,2 Zhou Guomo1,2 Du Huaqiang1,2 Xu Xiaojun1,2 Cui Ruirui1,2 Shen Zhenming3(1.Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration Lin'an 311300,2.School of Environmental and Resources Science,Zhejiang A & F University Lin'an 311300,3.Lin'an Forestry Station of Zhejiang Lin'an 311300) |
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| Abstract: | Based on combined data of a field survey and Landsat 5 Thematic Mapper(TM) images,we studied effects of six topographic correction models,including Teillet-regression,Cosine,C,SCS,SCS+C,and Minnaert,on aboveground forest biomass estimation of Phyllostachys praecox.Results showed:Except for Cosine and SCS correction methods,the rest four methods provided satisfactory correction results;Six topographic correction methods all improved correlations between TM data(TM4 and TM5) and aboveground biomass,as well as... |
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| Keywords: | topographic correction Phyllostachys praecox vegetation index biomass satellite-based estimation |
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