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基于温度植被干旱指数的曲靖市干旱监测研究
引用本文:高雅,王晓飞,高懋芳,黄硕,李石磊,冷佩.基于温度植被干旱指数的曲靖市干旱监测研究[J].中国农学通报,2020,36(9):37-45.
作者姓名:高雅  王晓飞  高懋芳  黄硕  李石磊  冷佩
作者单位:黑龙江大学电子工程学院,哈尔滨 150080;中国农业科学院农业资源与农业区划研究所,北京 100081
基金项目:耦合遥感与作物生长模型的农业干旱预警研究(41871282)。
摘    要:本研究利用MODIS归一化植被指数(NDVI)和地表温度(Ts)产品数据,构建Ts-NDVI特征空间,计算温度植被干旱指数(TVDI),分析评价云南曲靖市2010—2012年的干旱时空分布状况。结果表明,2010年曲靖市遭遇了非常严重的干旱灾害,受灾面积高达研究区总面积的80%以上,基于TVDI指数的旱情动态监测方法适合云南省曲靖干旱监测。本研究建立的温度植被干旱指数模型提高了干旱监测的实用性,在曲靖市干旱监测上具有很好的适应性,可以广泛应用到该地区干旱监测研究中,为曲靖的农业防灾减灾能力和可持续发展提供科学保障。

关 键 词:TVDI  MODIS  干旱监测  云南曲靖  遥感  防灾减灾  
收稿时间:2018/11/25 0:00:00
修稿时间:2019/5/29 0:00:00

Drought Monitoring in Qujing Based on Temperature Vegetation Drought Index
Ya Gao,Xiaofei Wang,Maofang Gao,Shuo Huang,Shilei Li,Pei Leng.Drought Monitoring in Qujing Based on Temperature Vegetation Drought Index[J].Chinese Agricultural Science Bulletin,2020,36(9):37-45.
Authors:Ya Gao  Xiaofei Wang  Maofang Gao  Shuo Huang  Shilei Li  Pei Leng
Institution:School of Electronic Engineering, Heilongjiang University, Harbin 150080;Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081
Abstract:Based on the data of MODIS normalized vegetation index (NDVI) and surface temperature (Ts) products, we constructed Ts-NDVI feature space, calculated temperature vegetation drought index (TVDI), and analyzed and evaluated the spatial and temporal distribution of drought in Qujing, Yunnan from 2010 to 2012. The results showed that: Qujing suffered from severe drought in 2010 with the drought area accounted for more than 80% of the total study area, the drought dynamic monitoring method based on the TVDI index was suitable for drought monitoring. The temperature vegetation drought index model established in this study can improve the practicability of drought monitoring and has a good adaptability in Qujing, and can be widely used for improving the disaster prevention and mitigation and the sustainable development of agriculture.
Keywords:TVDI  MODIS  drought  monitoring  Qujing  Yunnan  remote  sensing
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