苏涛,王鹏新,许文宁,苏伟,刘东升,刘翔舸,武洪峰.基于条件植被温度指数的干旱监测研究[J].干旱地区农业研究,2009,27(3):208~213
基于条件植被温度指数的干旱监测研究
A study on drought monitoring based on the vegetation temperature condition index
  
DOI:10.7606/j.issn.1000-7601.2009.03.39
中文关键词:  VTCI  反演  土壤表层含水量  干旱监测
英文关键词:VTCI  retrieval  surface soil moisture  drought monitoring
基金项目:国家科技支撑计划课题(2006BAD10A01); 国家自然科学基金项目“近实时定量化遥感干旱监测方法的研究(40571111)
作者单位
苏涛 College of Information and Electrical Engineering China Agricultural University East Campus, Beijing 100083, China 
王鹏新 College of Information and Electrical Engineering China Agricultural University East Campus, Beijing 100083, China 
许文宁 College of Information and Electrical Engineering China Agricultural University East Campus, Beijing 100083, China 
苏伟 College of Information and Electrical Engineering China Agricultural University East Campus, Beijing 100083, China 
刘东升 College of Information and Electrical Engineering China Agricultural University East Campus, Beijing 100083, China 
刘翔舸 College of Information and Electrical Engineering China Agricultural University East Campus, Beijing 100083, China 
武洪峰 Information Institute of Heilongjiang Academy of Land Reclamation Sciences, Harbin, Heilongjiang 150036, China 
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中文摘要:
      以黑龙江军川农场为研究区域,应用Landsat TM卫星遥感数据计算和反演归一化植被指数和地表温度,采用条件植被温度指数(VTCI)的方法对该区域进行土壤表层水分监测。通过与同一时期的LST和NDVI模型的反演结果进行对比,结果表明:VTCI与该模型的纹理特征相似,干旱的分布规律几乎一致。应用土壤表层含水量数据对干旱监测结果进行验证,验证结果表明VTCI与土壤表层含水量有较好的线性相关性,进一步证实了VTCI是一种实时的干旱监测方法。
英文摘要:
      Landsat TM images are used to calculate and retrieve normalized difference vegetation index (NDVI) and land surface temperature (LST) .Vegetation temperature condition index (VTCI) drought monitoring approach is applied to monitor droughts and to retrieve surface soil moisture in Junchuan farm of Helongjiang Province in Northeast China.Soil surface moisture retrieval methods based on NDVI-LST and VTCI models are developed and compared, and the results show that the spatial distributions of soil surface moisture are similar for the two models.The drought monitoring results are validated by using ground measured soil surface moisture.The results indicate that a good linear correlation between VTCI and soil moisture at surface layers (0~10 cm and 0~20 cm) respectively, and further confirm that VTCI approach is a real time drought monitoring approach.
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