摘要
诸多遥感干旱监测指数已被成功应用于中国北方地区,但在南方湿润地区的应用则相对较少。以湖南省为研究区,结合遥感(RS)、地理信息系统(GIS)技术,利用MODIS增强植被状态指数(EVCI)和温度状态指数(TCI)的复合信息,并根据EVCI和TCI对干旱信息的敏感程度不同,赋予不同的权重值,建立干旱状态指数(DCI)遥感监测模型,并将该模型应用于湖南省农作物的旱情监测,得到了湖南省耕地旱情等级的空间分布图。通过与该省97个气象台站同期获取的综合气象干旱指数(CI)的相关分析与验证,表明DCI与CI指数的线性相关显著,EVCI和TCI的权重分别取值0.4和0.6时为最佳组合,并论证了该模型适宜南方地区的干旱监测。
Some remote sensing drought indices are being widely used in northern China, but seldom in humid regions of southern China. This takes takes Hunan Province as a study area. Based on RS, GIS and additive combination of Enhanced Vegetation Condition Index （EVCI） and Temperature Condition Index（TCI） from MODIS data, it gave different weights according to the sensi tive degree of drought information and established Drought Condition Index （DCI） model. And then the spatial distribution maps of agricultural drought situation grades were obtained. Finally, based on the meteorological drought composite index （CI） from 97 meteorological stations, the correlation was analyzed. The results showed that the linear correlation between drought situationmonitoring model, which was set up on LST and EVI, and CI was significant, the higher weight was assigned to the TCI in the DCI model. And the DCI based on remote sensing data to monitor drought dynamic change still has some reference value.
出处
《自然资源学报》
CSSCI
CSCD
北大核心
2012年第10期1788-1796,共9页
Journal of Natural Resources
基金
湖南省自然科学基金"湖南省季节性干旱MODIS遥感监测与预警方法研究"(10JJ3022)
湖南师范大学校级重点学科地图学与地理信息系统
湖南省高校科技创新平台开放基金(10K042)
湖南省重点学科(2008001)
湖南省研究生科研创新项目(CX2011B213)
关键词
MODIS数据
农业秋旱
遥感监测
干旱状态指数
MODIS data
agriculture drought of autumn
remote sensing monitoring
drought condition index
