基于Landsat TM影像的湿地土壤水分定量反演研究
Quantitative retrieval of Wetland Soil Moisture Based on TM Landsat image
土壤水分是描述湿地退化的重要指标。本文以洪河国家级自然保护区为研究区，以Landsat-5 TM数据作为遥感数据源，结合MODIS数据，应用单窗算法提取了研究区地表温度；分别构建了NDVI-Ts和EVI-Ts特征空间，反演了研究区的土壤湿度。结果表明：应用EVI-Ts特征空间反演的湿地土壤湿度高于NDVI-Ts。
Soil moisture is an important index to describe the degradation of wetland. This paper in Honghe National Nature Reserve as the research area, to Landsat-5 TM data as the source of remote sensing data with MODIS data, using mono window algorithm extracted land surface temperature of the study area; were constructed NDVI ts and EVI-Ts feature space inversed research area of soil moisture. The results show that the wetland soil moisture inversion using EVI-Ts features is higher than that of NDVI-Ts.
孙永华、黄锦、李明超、张冬冬
环境科学技术现状
土壤水分Landsat TMNDVI-Ts特征空间EVI-Ts特征空间
soil moistureLandsat TMNDVI-Ts feature spaceEVI-Ts feature space
孙永华,黄锦,李明超,张冬冬.基于Landsat TM影像的湿地土壤水分定量反演研究[EB/OL].(2016-05-26)[2025-08-18].http://www.paper.edu.cn/releasepaper/content/201605-1272.点此复制
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