基于双倒高斯模型的植被含水量估算

2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) Pub Date : 2016-08-01 DOI:10.1109/WHISPERS.2016.8071741

L. Xuan, Z. Ye, Junping Zhang

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引用次数: 0

摘要

提出了一种计算植被光谱诊断特征参数的新方法——双倒高斯模型。并利用海波龙图像计算出的参数进行了含水量制图。利用室内试验测量数据，计算了吸收深度与植被含水量之间的关系。吸收深度与VWC之间的关系为0.868,RMSE为0.798。它们之间的相关性高于其他植被指数。

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Vegetation water content estimation using bi-inverted Gaussian model

This paper presented a new approach called bi-inverted Gaussian model to calculated the diagnostic characteristic parameters of vegetation spectral. And used the parameters calculated from Hyperion image to make water content mapping. Using laboratory experiment measuring data, the relationships between absorption depth and the vegetation water content (VWC) were calculated. between absorption depth and VWC was 0.868 and the RMSE was 0.798. The correlations between them were higher than other vegetation indices.

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2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)

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