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

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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DOI:
10.1016/j.isprsjprs.2011.10.009
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发表时间:
2012-03-01
影响因子:
12.7
通讯作者:
Shimizu, Yo
Shimizu, Yo
中科院分区:
工程技术1区
文献类型:
--
作者:
Rahimzadeh-Bajgiran, Parinaz;Omasa, Kenji;Shimizu, Yo

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这项研究的目的是发展适当的方法来探测伊朗半干旱地区的水压力。为此,最初为森林火灾检测而开发的植被干燥指数(VDI)概念被用于检测植被/土壤水分胁迫。本文还介绍了对温度植被干燥指数(TVDI)概念的改进方法,将气温和数字高程模型(DEM)结合起来发展改进的TVDI (iTVDI),并通过降水和土壤湿度数据的验证,将结果与原始的TVDI和VDI进行了比较。对研究区VDI的评价表明,VDI值与降水、土壤湿度无显著相关性,不适合用于水分胁迫检测。结果表明,与TVDI相比,研究区4种土地覆被类型的iTVDI与近期降水和土壤湿度的关系具有更显著的统计学意义。这表明iTVDI受夏季最近降水的影响很大,因此可以估计水分状况。结果表明,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。(C) 2011 International society for Photogrammetry and Remote sensing, Inc. (ISPRS) by Elsevier B.V.版权所有
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. (C) 2011 International society for Photogrammetry and Remote sensing, Inc. (ISPRS) Published by Elsevier B.V. All rights reserved.