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Drought Remote Sensing Monitoring Based on the Modified Perpendicular Drought Index method

机译:基于改进的垂直干旱指数法的干旱遥感监测

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摘要

Soil moisture and vegetation growth are the most important and direct index for drought. The interpreting to vegetation and spectrum analysis of soil are two important elements in the judgment of drought. Recently, Abduwasit Ghulam and other researchers, on the basis of the spatial distribution characters of soil moisture in near infrared spectrum, adopt the expansion analysis method and establish PDI. Later, vegetation index is introduced by establishing a new drought monitoring method MPDI after comprehensively considering about the soil moisture and vegetation growth characters. The article, directing against the drought in different periods of Henan Province, adopts the MODIS image data to undertake PDI and MPDI calculations and compares with the soil moisture data with that of the same period, concluding that: PDI and MPDI are closely related with the original data from land observation, among which the relations between MPDI and 0-20cm calculation is the closest; PDI and MPDI are all close to the drought situation concluded from the calculation of bared land and the early growth period of vegetations; MPDI is more suitable for the areas with vegetations.
机译:土壤水分和植被生长是干旱最重要和最直接的指标。对植被的解释和对土壤的光谱分析是判断干旱的两个重要因素。最近,Abduwasit Ghulam等人根据近红外光谱中土壤水分的空间分布特征,采用扩展分析方法建立了PDI。随后,在综合考虑土壤水分和植被生长特征的基础上,通过建立一种新的干旱监测方法MPDI,引入了植被指数。本文针对河南省不同时期的干旱情况,采用MODIS影像数据进行PDI和MPDI计算,并与同期土壤水分数据进行比较,得出结论:PDI和MPDI与土壤水分密切相关。土地观测的原始数据,其中MPDI与0-20cm计算之间的关系最接近; PDI和MPDI均接近于裸露土地的计算和植被的早期生长时期得出的干旱情况; MPDI更适合有植被的地区。

著录项

  • 来源
    《》|2008年|71101F.1-71101F.9|共9页
  • 会议地点 Cardiff(GB)
  • 作者单位

    Applied Meteorological Science College of Nanjing University of Information Science Technology, Nanjing, Jiangsu, 210044 Meteorological Bureau of XinXiang, Henan , 453000 Henan Institute of Meteorology, Zhengzhou, 450003;

    Henan Institute of Meteorology, Zhengzhou, 450003;

    Applied Meteorological Science College of Nanjing University of Information Science Technology, Nanjing, Jiangsu, 210044;

    Henan Institute of Meteorology, Zhengzhou, 450003;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境遥感;
  • 关键词

    NIR-Red spectral space; PDI; MPDI; drought monitoring;

    机译:NIR-红色光谱空间; PDI; MPDI;干旱监测;
  • 入库时间 2022-08-26 13:45:13

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