生态与环境

基于地形因子的TVDI修正——以陕西省为例

  • 郑发美 ,
  • 白建军
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  • 1.陕西师范大学地理科学与旅游学院,陕西 西安 710119;
    2.陕西师范大学地理学国家级实验教学示范中心,陕西 西安 710119
郑发美(1992-),女,硕士研究生,主要从事农业干旱遥感监测方面的研究. E-mail:zmeixiao@126.com
严成.E-mail: yancheng@ms.xjb.ac.cn

收稿日期: 2018-01-23

  修回日期: 2018-06-26

  网络出版日期: 2025-11-18

基金资助

克拉玛依市中部区域荒漠戈壁生态建设规划项目(6502GHJ201606001)资助

TVDI Modification Based on Topographic Factors:A Case Study in Shaanxi Province

  • ZHENG Fa-mei ,
  • BAI Jian-jun
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  • 1. College of Geography and Tourism,Shaanxi Normal University,Xi’an 710119,Shaanxi,China;
    2. National Demonstration Center for Experimental Geography Education,Shaanxi Normal University,Xi’an 710119,Shaanxi,China

Received date: 2018-01-23

  Revised date: 2018-06-26

  Online published: 2025-11-18

摘要

近年来,温度植被干旱指数(temperature vegetation drought index,TVDI)在遥感旱情监测中得到广泛的应用,但传统的TVDI没有考虑地形因子对指数精度的影响。本文以陕西省为例,利用DEM数据对地表温度做高程修正,同时引入归一化差值山地植被指数(normalized difference mountain vegetation index,NDMVI)代替归一化植被指数(normalized difference vegetation index,NDVI),以减弱地形起伏对植被指数的影响,进而构建新的TVDI。分别利用修正前后的地表温度以及NDMVI和NDVI构建了4种TVDI,并分析4种指数与土壤湿度及降水的关系,分析比较其监测农业干旱的精度。结果表明:高程与地形起伏对TVDI监测干旱的精度有较大的影响。经过修正后的TVDI与传统TVDI相比,其与土壤相对湿度的相关系数从-0.342提高至-0.711,且能更准确地体现降水的变化特征,说明修正后的TVDI能够更有效地反映区域土壤水分状况,可对农业干旱进行更加精确地监测。

本文引用格式

郑发美 , 白建军 . 基于地形因子的TVDI修正——以陕西省为例[J]. 干旱区研究, 2018 , 35(5) : 1223 -1233 . DOI: 10.13866/j.azr.2018.05.28

Abstract

In recent years,Temperature Vegetation Drought Index (TVDI) has been widely applied in monitoring drought with remote sensing. However,the influence of topographical factors on the index accuracy is not considered in the traditional TVDI. In this paper,a case study on the TVDI modification in Shaanxi Province was carried out so as to reduce the influence of topographical factors on the monitoring accuracy of TVDI,the DEM data were used to make an elevation correction of surface temperature,the NDVI was replaced by the Normalized Difference Mountain Vegetation Index (NDMVI) so as to reduce the influence of topographical fluctuation on vegetation index,and the new TVDI indexes were constructed. Four kinds of TVDI indices were constructed by using the surface temperature and NDMVI and NDVI before and after correction,and the relationships among the 4 indexes and soil moisture and precipitation were analyzed so as to compare the accuracy of monitoring agriculture drought. The results showed that the elevation and terrain fluctuation affected significantly the TVDI precision in monitoring drought,and the TVDI after the correction of surface temperature and vegetation was better for monitoring drought compared with the traditional TVDI,its correlation coefficient with relative soil humidity was increased from 0.342 to 0.711,and it could be used to accurately reflect the change of precipitation. The results revealed that the modified TVDI could be used to effectively reflect the soil water conditions,and could also be used to accurately monitor agricultural drought.

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