基于amsr数据的云南省干旱监测

Shu Wang, Ruofei Zhong, Qin Li, Mengli Qin
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引用次数: 5

摘要

本研究以2010年初云南干旱为研究对象,利用2010年前3个月的AMSR-E数据,利用微波偏振差指数(MPDI)计算了云南植被的光学深度。利用微波辐射传输模型和介电常数模型对土壤水分进行反演,并据此进行干旱分级,得到了云南省大部分地区2010年前3个月的干旱等级。通过地面实测土壤水分数据对反演结果进行验证,得出结论:利用AMSR-E数据反演土壤水分,进而进行干旱分级的研究方法,可以有效地监测云南省的干旱状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Drought monitoring in Yunnan province with AMSR-E-based data
In this study, the optical depth of vegetation is worked out with Microwave Polarization Difference Index (MPDI) focusing on the drought that hit Yunnan in early 2010 and using AMSR-E data of the first three months of 2010 in Yunnan Province. Inversion of soil moisture is conducted by using Microwave radiative transfer model and Dielectric constant model, and thereupon drought grading is made, so that the drought grades of the first three months of 2010 in most of the regions in Yunnan Province are obtained. By verifying the retrieval results by means of the soil moisture data collected from ground-based measurements, the conclusion of this study is drawn: with the research method by which soil moisture is retrieved from AMSR-E data, and thereupon the drought grading is made, the drought in Yunnan Province can be effectively monitored.
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