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International Journal of Remote Sensing Volume 33, 2012 - Issue 6
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Original Articles

Comparison of remotely sensed and meteorological data-derived drought indices in mid-eastern China

Lei Zhou State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, PR China; Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs (MOCA)/Ministry of Education (MOE), Beijing Normal University, Beijing, 100875, PR China; Key Laboratory of Environment Change and Natural Disaster, Ministry of Education (MOE), Beijing Normal University, Beijing, 100875, PR China
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Jie Zhang State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, PR China; Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs (MOCA)/Ministry of Education (MOE), Beijing Normal University, Beijing, 100875, PR China; Key Laboratory of Environment Change and Natural Disaster, Ministry of Education (MOE), Beijing Normal University, Beijing, 100875, PR China
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Jianjun Wu State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, PR China; Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs (MOCA)/Ministry of Education (MOE), Beijing Normal University, Beijing, 100875, PR China; Key Laboratory of Environment Change and Natural Disaster, Ministry of Education (MOE), Beijing Normal University, Beijing, 100875, PR ChinaCorrespondence[email protected]
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Lin Zhao State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, PR China; Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs (MOCA)/Ministry of Education (MOE), Beijing Normal University, Beijing, 100875, PR China; Key Laboratory of Environment Change and Natural Disaster, Ministry of Education (MOE), Beijing Normal University, Beijing, 100875, PR China
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Ming Liu State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, PR China; Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs (MOCA)/Ministry of Education (MOE), Beijing Normal University, Beijing, 100875, PR China; Key Laboratory of Environment Change and Natural Disaster, Ministry of Education (MOE), Beijing Normal University, Beijing, 100875, PR China
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Aifeng Lü Department of Water & Soil, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Science (CAS), Beijing, 100101, PR China
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Zhitao Wu State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, PR China; Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs (MOCA)/Ministry of Education (MOE), Beijing Normal University, Beijing, 100875, PR China; Key Laboratory of Environment Change and Natural Disaster, Ministry of Education (MOE), Beijing Normal University, Beijing, 100875, PR China
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Pages 1755-1779 | Received 20 Sep 2010, Accepted 28 Apr 2011, Published online: 27 Oct 2011

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Shuobo Chen, Yinwen Chen, Junying Chen, Zhitao Zhang, Qiuping Fu, Jiang Bian, Ting Cui & Yizhe Ma. (2020) Retrieval of cotton plant water content by UAV-based vegetation supply water index (VSWI). International Journal of Remote Sensing 41:11, pages 4389-4407.
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Ali Levent Yagci, Liping Di & Meixia Deng. (2015) The effect of corn–soybean rotation on the NDVI-based drought indicators: a case study in Iowa, USA, using Vegetation Condition Index. GIScience & Remote Sensing 52:3, pages 290-314.
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Ali Levent Yagci, Liping Di & Meixia Deng. (2013) The effect of land-cover change on vegetation greenness-based satellite agricultural drought indicators: a case study in the southwest climate division of Indiana, USA. International Journal of Remote Sensing 34:20, pages 6947-6968.
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Lingkui Meng, Ting Dong & Wen Zhang. (2015) Drought monitoring using an Integrated Drought Condition Index (IDCI) derived from multi-sensor remote sensing data. Natural Hazards 80:2, pages 1135-1152.
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A.P.M. Cunha, R.C. Alvalá, C.A. Nobre & M.A. Carvalho. (2015) Monitoring vegetative drought dynamics in the Brazilian semiarid region. Agricultural and Forest Meteorology 214-215, pages 494-505.
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Jianjun Wu, Lei Zhou, Xinyu Mo, Hongkui Zhou, Jie Zhang & Ruijing Jia. (2015) Drought monitoring and analysis in China based on the Integrated Surface Drought Index (ISDI). International Journal of Applied Earth Observation and Geoinformation 41, pages 23-33.
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Lei Zhou, Jianjun Wu, Tangao Hu, Song Leng, Jianhui Zhang, Ming Liu & Lin Zhao. (2014) The investigation of relationship between integrated surface drought index (ISDI) detected drought condition and crop yield. The investigation of relationship between integrated surface drought index (ISDI) detected drought condition and crop yield.
Jianjun Wu, Lei Zhou, Ming Liu, Jie Zhang, Song Leng & Chunyuan Diao. (2013) Establishing and assessing the Integrated Surface Drought Index (ISDI) for agricultural drought monitoring in mid-eastern China. International Journal of Applied Earth Observation and Geoinformation 23, pages 397-410.
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Lei Zhou, Jianjun Wu, Adu Gong, Jianhui Zhang, Ming Liu, Lin Zhao, Song Leng & Xin Lu. (2013) Evaluation of Integrated Surface Drought Index (ISDI) via precipitation data and soil moisture. Evaluation of Integrated Surface Drought Index (ISDI) via precipitation data and soil moisture.
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N. R. Dalezios, A. Blanta & N. V. Spyropoulos. (2012) Assessment of remotely sensed drought features in vulnerable agriculture. Natural Hazards and Earth System Sciences 12:10, pages 3139-3150.
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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. (2012) Using a new integrated drought monitoring index to improve drought detection in mid-eastern China. Using a new integrated drought monitoring index to improve drought detection in mid-eastern China.

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