%0 Journal Article
%T Retrieval of soil moisture based on MODIS shortwave infrared spectral feature<br>基于MODIS短波红外光谱特征的土壤含水量反演
%A YAO Yun-Jun
%A QIN Qi-Ming
%A ZHAO Shao-Hua
%A YUAN Wei-Lin
%A <br>姚云军
%A 秦其明
%A 赵少华
%A 袁蔚林
%J 红外与毫米波学报
%D 2011
%I Science Press
%X Soil moisture is one of the most important parameters characterizing surface dryness conditions and its retrieval by quantitative remote sensing methods has been a challenging scientific problem. In this paper, we analyze the sensitivity of shortwave infrared MODIS band 6 and band 7 to the changes of water to construct the MODIS shortwave infrared spectral feature space. According to the soil moisture variation in spectral feature space, we put forward a simple and practical MODIS shortwave infrared soil moisture index (SIMI) and validate it using ground-measured 0-10cm averaged soil moisture of Ningxia plain. The results show that the coefficient of determination (R2) of both them varies from 0.39 to 0.58, and SIMI has higher accuracy than temperature-vegetation index (TVX) for soil moisture retrieval to support the reliability of this index for regional soil moisture retrieval. However, SIMI does not eliminate the impact of mixed-pixel and still needs further improvement and perfection.
%K MODIS
%K short-wave infrared spectra
%K soil moisture retrieval<br>MODIS
%K 短波红外光谱
%K 土壤含水量反演
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=C0E5D8D6D9078EA209DADA892E48506F&yid=9377ED8094509821&vid=340AC2BF8E7AB4FD&iid=CA4FD0336C81A37A&sid=9CF7A0430CBB2DFD&eid=F3583C8E78166B9E&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=1&reference_num=0