Drought monitoring and performance evaluation of MODIS-based drought severity index (DSI) over Pakistan

	Drought monitoring and performance evaluation of MODIS-based drought severity index (DSI) over Pakistan
	Haroon, Muhammad Athar 1; Zhang, Jiahua 1; Yao, Fengmei 1
刊名	NATURAL HAZARDS
	2016
卷号	84 期号:2 页码:1349-1366
关键词	TIME-SERIES SPECTRAL INDEXES MODIS DISCRIMINATION PRODUCTS IMAGERY
通讯作者	Haroon, MA ; Zhang, JH (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, CAS Key Lab Digital Earth Sci, Beijing 100094, Peoples R China. ; Haroon, MA (reprint author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
英文摘要	Drought is an extreme climate phenomenon that mainly results from abnormally low rainfall leading to water scarcity in an ecological system. Pakistan is already facing a serious threat of water shortages. The situation could further be intensified due to the prevailing drought conditions. Therefore, there is a need of consistent drought monitoring to observe drought severity; its duration and spread, to ensure effective planning to help mitigate its possible adverse effects. This study has utilized both satellite and in-situ data for consistent and accurate drought monitoring over Pakistan. Three major drought-intensive periods such as 1968-1975, mid-1980s and 1999-2003 were reflected in the standardized precipitation index (SPI) time series. The deviations of MODIS-NDVI values from their long-term mean were used as a tool to identify wetness and dryness conditions. The tropical rainfall measuring mission (TRMM) precipitation (PPTN) data were used to derive monthly and annual accumulated rainfall. The deviations from the long-term mean (2001-2012) were calculated and mapped to identify drought-prone regions on country scale. It is hard to detect drought signal just from NDVI anomaly values on regional scale. Therefore, DSI index with high resolution and incorporated with MODIS-derived NDVI and ET/PET data was chosen as a tool for regional drought monitoring. The performance of MODIS-derived DSI was evaluated with satellite and in-situ precipitation data. The spatial correlation maps between DSI, TRMM-PPTN and SPI-3 were generated to evaluate the performance of DSI. Significant positive correlation values were present in winter (DJF); spring (MAM) and autumn (SON) seasons, in central parts of the country, portraying strong evidence that DSI is a good indicator for drought conditions especially for agricultural land in plain areas during these seasons. Most of this region is characterized by agricultural land cover and plays an important role in agricultural productivity of the country. Therefore, good performance of DSI would help scientists and policy makers to implement planning and risk reduction strategies in the region
学科主题	Geology; Meteorology & Atmospheric Sciences; Water Resources
类目[WOS]	Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
收录类别	SCI
语种	英语
WOS记录号	WOS:000386241300031
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39310]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, CAS Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Haroon, Muhammad Athar,Zhang, Jiahua,Yao, Fengmei. Drought monitoring and performance evaluation of MODIS-based drought severity index (DSI) over Pakistan[J]. NATURAL HAZARDS,2016,84(2):1349-1366.
APA	Haroon, Muhammad Athar,Zhang, Jiahua,&Yao, Fengmei.(2016).Drought monitoring and performance evaluation of MODIS-based drought severity index (DSI) over Pakistan.NATURAL HAZARDS,84(2),1349-1366.
MLA	Haroon, Muhammad Athar,et al."Drought monitoring and performance evaluation of MODIS-based drought severity index (DSI) over Pakistan".NATURAL HAZARDS 84.2(2016):1349-1366.