NDLI: Using a new integrated drought monitoring index to improve drought detection in mid-eastern China

Content Provider	IEEE Xplore Digital Library
Author	Lei Zhou Jian-Jun Wu Song Leng Ming Liu Jie Zhang Lin Zhao Chun-yuan Diao Jian-hui Zhang Hai-jiang Luo Feng-ying Zhang Yu Shi
Copyright Year	2012
Description	Author affiliation: Academy of Disaster Reduction and Emergency Management, MOCA/MOE, Beijing Normal University, 100875, China (Jian-Jun Wu; Song Leng; Ming Liu; Lin Zhao) \|\| Department of Geography, University of Maryland, College Park, United States (Jie Zhang) \|\| China National Environmental Monitoring Center, Beijing 100012, China (Lei Zhou; Jian-hui Zhang; Hai-jiang Luo; Feng-ying Zhang; Yu Shi) \|\| Department of Geography, University at Buffalo, The State University of New York, United States (Chun-yuan Diao)
Abstract	Using data-mining technology, this paper established a new method, named the Integrated Surface Drought Index (ISDI). ISDI integrates traditional meteorological data, remotely sensed indices, and biophysical data, and attempt to describe drought from a more comprehensive perspective. The evaluation results indicated that the construction models for three phases of growth season have very high regression accuracy. The drought condition can be predicted using the independent variables. The practical application of ISDI in mid-eastern china also demonstrated that ISDI has good application accuracy in mid-eastern China. ISDI results were corresponding to the disaster observation records of agro-meteorological sites. It can be potentially extended to nationwide near real time drought monitoring.
Starting Page	883
Ending Page	886
File Size	797470
Page Count	4
File Format	PDF
ISBN	9781467311601
ISSN	21536996
e-ISBN	9781467311595
e-ISBN	9781467311588
DOI	10.1109/IGARSS.2012.6351417
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-22
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vegetation mapping Indexes Monitoring Remote sensing Land surface temperature Temperature sensors Accuracy data mining Drought ISDI remote sensing
Content Type	Text
Resource Type	Article

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Drought monitoring in Southwest China with HJ data

Evaluation of Integrated Surface Drought Index (ISDI) via precipitation data and soil moisture

The investigation of relationship between integrated surface drought index (ISDI) detected drought condition and crop yield

Research and analysis of the drought monitoring based on the remote sensing technology

Agricultural drought monitoring in Dongting Lake Basin by MODIS data

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A study on thermal inertia approach for agricultural drought monitoring in Shaanxi Province, China by using NOAA/AVHRR data

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Using a new integrated drought monitoring index to improve drought detection in mid-eastern China

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