中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An exploratory analysis of spectral indices to estimate vegetation water content using sensitivity function

文献类型:EI期刊论文

作者Wu Jianjun ; Zhang Jie ; Lu Aifeng ; Zhou Lei
发表日期2012
关键词Water content Deforestation Fuels Function evaluation Mean square error Moisture control Moisture determination Optical properties Optical waveguides Vegetation
英文摘要Water is an important component of vegetation canopies and the timely monitoring of vegetation moisture status is very useful for agricultural drought assessment and forest fire prediction. Currently, the retrieval of vegetation water content (VWC) is mainly based on spectral indices. However, the different performances under varying conditions make the evaluation of spectral indices very necessary. In previous studies, the determination coefficient (R 2), mean square error (MSE) and root mean square error (RMSE) were widely used for the evaluation of spectral indices. However, using these constants as evaluation criteria, the performance of spectral indices was the same within a wide range and thus could not be precisely described. In this study, the sensitivity function was introduced to investigate the strength of the spectral indices to VWC estimation based on LOPEX (Leaf Optical Properties EXperiment) data set. Equivalent water thickness (EWT) and fuel moisture content (FMC), both FMC based on fresh weight (FMCw) and FMC based on dry weight (FMCd), were used to indicate vegetation moisture status. According to the results, the major conclusions are as follows: (1) the sensitivity of spectral indices to VWC is not a constant but a function of VWC; (2) for each VWC indicator, the spectral indices show varying performances at different moisture levels, which can provide reference for spectral index selection while monitoring the vegetation moisture status; and (3) besides, the sensitivity of the same spectral index to different vegetation moisture indicators is not the same and the comparative study indicates that spectral indices are much more sensitive to EWT than FMCw and FMC d. 2012 Taylor Francis.
出处Remote Sensing Letters
3期:2页:161-169
收录类别EI
语种英语
源URL[http://ir.igsnrr.ac.cn/handle/311030/27701]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Wu Jianjun,Zhang Jie,Lu Aifeng,et al. An exploratory analysis of spectral indices to estimate vegetation water content using sensitivity function. 2012.

入库方式: OAI收割

来源:地理科学与资源研究所

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