A Modified Gash Model for Estimating Rainfall Interception Loss of Forest Using Remote Sensing Observations at Regional Scale
A Modified Gash Model for Estimating Rainfall Interception Loss of Forest Using Remote Sensing Observations at Regional Scale
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DOI：
10.3390/w6040993
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发表时间：
2014-04
期刊：
影响因子：
3.4
通讯作者：
Yaokui Cui;L. Jia
中科院分区：
文献类型：
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作者：
Yaokui Cui;L. Jia
翻译后摘要：森林的降雨截留损失是森林生态系统中的水分平衡的重要组成部分。Gash分析模型已被广泛应用于野外尺度的森林截留损失估算。在这项研究中，我们提出了一个简单的模型来估计降雨截留损失的异质森林在区域尺度上与一些合理的假设，利用遥感观测。该模型是一个改进的Gash分析模型，利用卫星数据中易于测量的森林结构参数，并将原始Gash模型从点尺度扩展到区域尺度。利用中分辨率成像光谱仪（MODIS）产品遥感数据、野外实测降雨量数据和黑河流域上游青海云杉林自动气象站（AWS）气象数据，对大冶口试验点（
Abstract: Rainfall interception loss of forest is an important component of water balance in a forested ecosystem. The Gash analytical model has been widely used to estimate the forest interception loss at field scale. In this study, we proposed a simple model to estimate rainfall interception loss of heterogeneous forest at regional scale with several reasonable assumptions using remote sensing observations. The model is a modified Gash analytical model using easily measured parameters of forest structure from satellite data and extends the original Gash model from point-scale to the regional scale. Preliminary results, using remote sensing data from Moderate Resolution Imaging Spectroradiometer (MODIS) products, field measured rainfall data, and meteorological data of the Automatic Weather Station (AWS) over a picea crassifolia forest in the upper reaches of the Heihe River Basin in northwestern China, showed reasonable accuracy in estimating rainfall interception loss at both the Dayekou experimental site (