| 基于PROSAIL辐射传输模型的毛竹林叶面积指数遥感反演 |
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| 引用本文： | 谷成燕,杜华强,周国模,韩凝,徐小军,赵晓,孙晓艳.基于PROSAIL辐射传输模型的毛竹林叶面积指数遥感反演[J].生态学杂志,2013,24(8):2248-2256. |
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| 作者姓名： | 谷成燕 杜华强 周国模 韩凝 徐小军 赵晓 孙晓艳 |
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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， 浙江临安 311300； ;浙江农林大学环境与资源学院， 浙江临安 311300) |
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| 摘 要： | 采用PROSAIL辐射传输模型建立毛竹林叶面积指数(LAI) 冠层反射率查找表，并结合Landsat TM卫星遥感数据，实现了毛竹林LAI的定量反演.结果表明： PROSAIL模型各输入参数的敏感性由高到低依次为LAI>叶绿素含量(Cab)>叶片结构参数(N)>平均叶倾角(ALA)>等效水厚度(Cw)>干物质含量(Cm)，并以LAI、Cab两个主要敏感因子用于构建毛竹林LAI 冠层反射率查找表；基于PROSAIL模型的毛竹林LAI遥感反演结果与实测LAI具有很好的一致性，二者相关系数为0.90，均方根误差和相关的均方根误差也较小，分别为0.58和13.0%，但也存在反演LAI平均值高于实际值的问题.
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| 关 键 词： | PROSAIL模型 毛竹林 叶面积指数 遥感 查找表 |
Retrieval of leaf area index of Moso bamboo forest with Landsat Thematic Mapper image based on PROSAIL canopy radiative transfer model. |
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| GU Cheng-yan,DU Hua-qiang,ZHOU Guo-mo,HAN Ning,XU Xiao-jun,ZHAO Xiao,SUN Xiao-yan.Retrieval of leaf area index of Moso bamboo forest with Landsat Thematic Mapper image based on PROSAIL canopy radiative transfer model.[J].Chinese Journal of Ecology,2013,24(8):2248-2256. |
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| Authors: | GU Cheng-yan DU Hua-qiang ZHOU Guo-mo HAN Ning XU Xiao-jun ZHAO Xiao SUN Xiao-yan |
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| Institution: | (;1.Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration, Lin’an 311300, Zhejiang, China; ;School of Environmental and Resources Science, Zhejiang A&F University, Lin’an 311300, Zhejiang, China) |
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| Abstract: | The PROSAIL canopy radiative transfer model was used to establish leaf area index (LAI) and canopy reflectance lookup table for Moso bamboo forest. The combination of Landsat Thematic Mapper (TM) image and this model was then used to retrieve LAI. The results demonstrated that the sensitivity of the input parameters in the PROSAIL model decreased in order of LAI>chlorophyll content (Cab) > leaf structure parameters (N) > mean leaf angle (ALA) > equivalent water thickness (Cw) > dry matter content (Cm). The most sensitive factors LAI and Cab were then used to construct the LAI canopy reflectance lookup-table. The LAI estimates from the PROSAIL model had good agreement with the reference data, with the coefficient of determination (R2) reached 0.90. The root mean square error (RMSE) and relative RMSE were 0.58 and 13.0%, respectively. However, the mean LAI estimate was higher than the observed value. |
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| Keywords: | PROSAIL model Moso- bamboo leaf area index remote sensing lookup-table |
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