globalchange  > 气候变化与战略
CSCD记录号: CSCD:5778586
论文题名:
基于温度植被干旱指数的印度和巴基斯坦干旱监测
其他题名: Drought Monitoring by Remote Sensing over India and Pakistan Based on Temperature Vegetation Dryness Index
作者: 高华1; 张佳华2; 夏学齐3
刊名: 遥感信息
ISSN: 1000-3177
出版年: 2016
卷: 31, 期:4, 页码:2655-2666
语种: 中文
中文关键词: 印度和巴基斯坦 ; NDVI-Ts特征空间 ; 干旱监测
英文关键词: TVDI ; SPI ; India and Pakistan ; NDVI-Ts space ; TVDI ; SPI ; drought monitoring
WOS学科分类: METEOROLOGY ATMOSPHERIC SCIENCES
WOS研究方向: Meteorology & Atmospheric Sciences
中文摘要: 针对印度和巴基斯坦近年干旱频发的问题,该文使用温度植被干旱指数对印巴地区2009~2014年干季(3~5月)实现遥感干旱监测,利用多年同期MODIS卫星数据构建印巴地区归一化植被指数-陆地表面温度的特征空间,拟合特征空间中的干、湿边方程,进一步反演温度植被干旱指数,对该区土地利用和地形作了统计与分析,对温度植被干旱指数划分等级,并利用印巴气象站点的实测降水量以及标准降水指数进行验证。结果表明:1)从干旱等级面积统计来看,印巴地区干季主要以中旱为主,其他等级面积所占比例较小;2)从土地利用类型来看,全区土地覆盖良好,温度植被干旱指数作为印巴地区旱情评价指标具有一定的合理性;3)从气象站点数据来看,归一化植被指数-陆地表面温度特征空间反演的温度植被干旱指数与降水具有密切相关性。
英文摘要: Drought has frequently been witnessed in the country due to various environmental changes such as rise in atmospheric pollution and climatic changes.Based on MOD13 A3 and MOD11 A2 data,the temperature vegetation dryness index (TVDI)model was constructed and verified.This study used MODIS data for many years during the same period over India and Pakistan to build the feature space of normalized difference vegetation index(NDVI)and land surface temperature(Ts),and fit dry and wet edge equations in the feature space.The TVDI was calculated over India and Pakistan of hot season(from March to May)from 2009 to 2014.In addition,the TVDI drought level standard is graded to analyze its temporal and spatial variation characteristics with using land use type and terrain data.TVDI is verified using the precipitation data from meteorological sites, and TVDI is contrasted with the standard precipitation index(SPI).The results show that:1)from the drought area statistics, the study region is mainly moderate drought,the area proportion of other grades is smaller;2)from the land use type,the land cover of entire district is good,the TVDI has certain rationality as drought evaluation index for study area;3)from meteorological sites,the inversion of TVDI from NDVI-Ts feature space and the total precipitation of the prophase and same period are closely related.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/151659
Appears in Collections:气候变化与战略

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作者单位: 1.(北京)中国地质大学地球科学与资源学院, 中国科学院数字地球重点实验室, 北京 100083, 中国
2.中国科学院遥感与数字地球研究所, 中国科学院数字地球重点实验室, 北京 100094, 中国
3.(北京)中国地质大学地球科学与资源学院, 北京 100083, 中国

Recommended Citation:
高华,张佳华,夏学齐. 基于温度植被干旱指数的印度和巴基斯坦干旱监测[J]. 遥感信息,2016-01-01,31(4):2655-2666
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