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首页> 外文期刊>ISPRS Journal of Photogrammetry and Remote Sensing >Comparative evaluation of the Vegetation Dryness Index (VDI), the Temperature Vegetation Dryness Index (TVDI) and the improved TVDI (iTVDI) for water stress detection in semi-arid regions of Iran
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Comparative evaluation of the Vegetation Dryness Index (VDI), the Temperature Vegetation Dryness Index (TVDI) and the improved TVDI (iTVDI) for water stress detection in semi-arid regions of Iran

机译：伊朗半干旱地区植被干旱指数（VDI），温度植被干旱指数（TVDI）和改良TVDI（iTVDI）的对比评估，用于水分胁迫检测

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摘要

This study aims at developing appropriate methods to detect water stress in the semi-arid regions of Iran. To do this, the Vegetation Dryness Index (VDI) concept, originally developed for forest fire detection, was applied to detect vegetation/soil water stress. A modified approach towards the Temperature Vegetation Dryness Index (TVDI) concept, incorporating air temperature and a Digital Elevation Model (DEM) to develop the improved TVDI (iTVDI) is also introduced and the results are compared with the original TVDI and VDI through verification by precipitation and soil moisture data. Evaluation of the VDI in the study area showed that there was no significant relationship between the VDI values and precipitation or soil moisture indicating its inappropriateness to be used for water stress detection. Compared with the TVDI, results indicated that there were more statistically significant relationships between the iTVDI and recent precipitation and soil moisture in the four land cover types in the study area. This indicates that the iTVDI is highly influenced by recent precipitation during the summer and can therefore estimate water status. It is concluded that the iTVDI can be successfully used for vegetation/soil water stress monitoring in the semi-arid regions of Iran.
机译：这项研究旨在开发适当的方法来检测伊朗半干旱地区的水分胁迫。为此，最初用于森林火灾检测的植被干燥指数（VDI）概念被用于检测植被/土壤水分胁迫。还介绍了一种针对温度植被干燥指数（TVDI）概念的改进方法，该方法结合了空气温度和数字高程模型（DEM）以开发改进的TVDI（iTVDI），并通过验证将结果与原始TVDI和VDI进行了比较。降水和土壤湿度数据。在研究区域对VDI的评估表明，VDI值与降水或土壤湿度之间没有显着关系，表明该方法不适合用于水分胁迫检测。与TVDI相比，研究表明，在研究区域的四种土地覆盖类型中，iTVDI与近期降水和土壤水分之间的统计关系更为显着。这表明iTVDI受夏季近期降水的强烈影响，因此可以估算水的状况。结论是，iTVDI可以成功地用于伊朗半干旱地区的植被/土壤水分胁迫监测。

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  • 作者

    Parinaz Rahimzadeh-Bajgiran; Kenji Omasa; Yo Shimizu;

  • 作者单位

    Department of Biological and Environmental Engineering, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-7-7 Yayoi, Bunkyo-ku, Tokyo 113-8657,Japan;

    Department of Biological and Environmental Engineering, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-7-7 Yayoi, Bunkyo-ku, Tokyo 113-8657,Japan;

    Department of Biological and Environmental Engineering, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-7-7 Yayoi, Bunkyo-ku, Tokyo 113-8657,Japan;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    NDVI; NDII7; land surface temperature; semi-arid regions; water status;

    机译：NDVI;NDII7;地表温度;半干旱地区水状况;

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