基于MODIS数据的新疆地区土壤湿度反演

发布时间：2018-02-27 06:00

本文关键词： 温度植被干旱指数特征空间地表温度 NDVI-Ts EVI-Ts　出处：《草业学报》2017年06期 　论文类型：期刊论文

【摘要】：以新疆地区为研究对象,选取2016年5和6月的植被指数产品数据和地表温度产品数据,构建新疆地区NDVI-Ts和EVI-Ts特征空间,分析新疆地区土壤干湿状况的空间分布格局及土壤水分的影响因素。结合野外同步重复采样获得的土壤含水量对TVDI进行验证,并分析EVI和Ts所包含的旱情信息。结果表明:(1)构建NDVI-Ts和EVI-Ts特征空间,其散点图符合三角形的关系。(2)新疆地区5和6月土壤湿度总体以干旱(0.6TVDI0.8)为主。空间上,新疆北部的阿尔泰山、中部的天山、南部的昆仑山为极湿润和湿润,而新疆北部的准噶尔盆地、南部的塔里木盆地为干旱和极干旱。(3)5月份林地的TVDI值最低,6月份高度覆盖草地的TVDI值最低;随高程的增加土壤湿度变大。(4)和基于NDVI的TVDI相比,基于EVI的TVDI更适合于监测5月与6月的农业旱情状况。(5)相对于植被指数,陆地表面温度更能反映旱情。
[Abstract]:Taking Xinjiang as the research object, the vegetation index product data and surface temperature product data of 2016 and June were selected to construct the NDVI-Ts and EVI-Ts feature space in Xinjiang region. The spatial distribution pattern of soil dryness and moisture and the influencing factors of soil moisture in Xinjiang were analyzed. The TVDI was verified by soil moisture content obtained by simultaneous repeated sampling in the field. The drought information contained in EVI and ts is analyzed. The results show that the characteristic space of NDVI-Ts and EVI-Ts is constructed, and the scattered plot accords with the triangle relation. The soil moisture in Xinjiang region in 5 and June is mainly drought 0.6 TV DI0.8). The Altai Mountains in the north of Xinjiang, the Tianshan Mountains in the central part, the Kunlun Mountains in the south are extremely humid and humid, while the Junggar Basin in the north of Xinjiang, In Tarim Basin in the south, the TVDI value of forest land in May was the lowest, and the TVDI value of highly-covered grassland in June was the lowest, compared with TVDI based on NDVI. TVDI based on EVI is more suitable for monitoring agricultural drought in May and June. Compared with vegetation index, land surface temperature can better reflect drought.
【作者单位】：中国科学院新疆生态与地理研究所荒漠与绿洲生态国家重点实验室;中国科学院大学资环学院;
【基金】：中国科学院“率先行动”计划特色研究所主要服务项目(Y674123001) 青年千人计划(Y371051001)资助
【分类号】：S127;S152.71

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