LAI INVERSION USING A BACKPROPAGATION NEURAL-NETWORK TRAINED WITH A MULTIPLE-SCATTERING MODEL

被引:71
|
作者
SMITH, JA
机构
[1] NASA Goddard Space Flight Center, Greenbelt
来源
关键词
D O I
10.1109/36.263783
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Standard regression methods applied to canopies within a single homogeneous soil type yield good results for estimating leaf area index (LAI) but perform unacceptably when applied across soil boundaries. In contrast, the neural network reported here generally yielded absolute percentage errors of < 30%. The network was applied, without retraining, to a Landsat TM.
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页码:1102 / 1106
页数:5
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