基于遥感影像数据的干旱监测研究  

Research of drought monitoring based on remote sensing image data

作　　者：李辉[1] 滑申冰 丁禹 刘晓琳 姚德贵 李哲 李鑫慧[1] LI Hui;HUA Shenbing;DING Yu;LIU Xiaolin;YAO Degui;LI Zhe;LI Xinhui(Nanjing University of Information Science and Technology,Nanjing 210044,Jiangsu,China;China Electric Power Research Institute,Beijing 100192,China;State Grid Henan Electric Power Company Electric Power Science Research Institute,Zhengzhou 450000,Henan,China)

机构地区：[1]南京信息工程大学,江苏南京210044 [2]中国电力科学研究院有限公司,北京100192 [3]国网河南省电力公司电力科学研究院,河南郑州450000

出　　处：《水利水电技术(中英文)》2024年第S2期807-814,共8页Water Resources and Hydropower Engineering

基　　金：国家电网有限公司总部科技项目资助(5500-202324180A-1-1-ZN)

摘　　要：干旱是导致农业、经济和环境受破坏的主要气象灾害之一。干旱监测研究对制定防旱减灾措施和维护社会经济发展具有重要意义。利用2022年3—9月九江地区的Landsat数据和同时期鄱阳湖区域的MODIS数据,分别计算温度状态指数(Temperature Condition Index,TCI)、植被状态指数(Vegetation Condition Index,VCI)、植被健康指数(Vegetation Health Index,VHI)和温度植被干旱指数(Temperature Vegetation Dryness Index,TVDI),分析它们的适用性,实现干旱监测。研究结果表明:在九江市,3月、4月、5月和7月TVDI的kappa系数较高,6月、8月和9月TCI的kappa系数更高;在鄱阳湖区域,3月、4月、5月、6月和8月TCI的kappa系数较高,7月和9月TVDI的kappa系数较高。VCI和VHI在本研究区的干旱监测效果较差,二者在河流区域均显示为干旱,在植被覆盖度较高的地区如林地等变化不明显,更适合于对农作物区域或者居民区进行监测;TCI和TVDI对研究区域具有较好的检测效果,能够清晰地反应居民区、河流等的干旱情况。研究区域3—5月旱情变化不明显,6月底—9月旱情迅速加剧。旱情主要从西南区域向东北方向蔓延。Drought is one of the main meteorological disasters that cause damage to agriculture,economy,and environment.Drought monitoring research is of great significance for formulating drought prevention and disaster reduction measures and maintaining socio-economic development.This paper mainly uses the Land sat data of Jiujiang region from March to September 2022 and the MODIS data of Poyang Lake region in the same period to calculate the temperature condition index(TCI),vegetation condition index(VCI),vegetation health index(VHI)and temperature vegetation dryness index(TVDI)respectively,and analyze their applicability,implement drought monitoring.The research result indicate that in Jiujiang City,the kappa coefficient of TVDI is higher in March,April,May,and July,while the kappa coefficient of TCI is higher in June,August,and September;In the Poyang Lake area,the kappa coefficient of the index TCI is higher in March,April,May,June and August,and the kappa coefficient of the index TVDI is higher in July and September.The drought monitoring effect of indices VCI and VHI in this study area is poor,with both showing drought in river areas and less significant changes in areas with high vegetation coverage,such as forests,making them more suitable for monitoring crop areas or residential areas.The indices TCI and TVDI have good detection performance in the study area of this article,which can clearly reflect the drought situation in residential areas,rivers,etc.The drought situation in the study area did not show significant changes from March to May,but rapidly intensified from the end of June to September.The drought mainly spreads from the southwest region to the northeast.

关 键 词：Landsat数据 MODIS数据 干旱 遥感 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]