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《Spectroscopy and Spectral Analysis》 2011-11
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The New Method Monitoring Agricultural Drought Based on SWIR-Red Spectrum Feature Space

FENG Hai-xia1,3,QIN Qi-ming1,LI Bin-yong2,LIU Fang1,JIANG Hong-bo1,DONG Heng1,WANG Jin-liang1, LIU Ming-chao1,ZHANG Ning1 1.Institute of Remote Sensing and GIS,Peking University,Beijing 100871,China 2.National Marine Environmental Monitoring Center,Dalian 110623,China 3.Shandong Jiaotong University,Ji'nan 250023,China  
Drought was a chronic,natural disaster,and Remote sensing drought monitoring had become a potential research field.In the present,short-wave infrared and red bands which sensitive to moisture variation were selected to monitor farmland drought conditions by analyzing the spectral characteristics of vegetation and soil.The goal of this paper was to provide a new method of drought monitoring——normalized drought monitoring index(NPDI),based on new constructed spectrum feature space by the difference of SWIR and Red and the sum of SWIR and Red.Field surveyed soil moisture verified NPDI model,and the result showed that NDPI and MPDI model could effectively monitor agricultural drought,and that had high correlation with soil moisture.The R2 was 0.583 and 0.438 with soil water of 10 cm.The monitoring effect of NPDI model was better than the MPDI.This model was further improvement to PDI and MPDI,and it could monitor the drought condition of different vegetation coverage and whole growing season.It has high application potential and popularization value.
【Fund】: 国家高技术研究发展计划(863计划)项目(2008AA121806);; 公益性行业(气象)专项(GYHY200806022);; 国家自然科学基金项目(40771148)资助
【CateGory Index】: S423
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【Citations】
Chinese Journal Full-text Database 1 Hits
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【Co-citations】
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1 WU Bingfang,MENG Jihua,LI Qiangzi,ZHANG Feifei,DU Xin,YAN Nana(Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China);Latest Development of "CropWatch"—An Global Crop Monitoring System with Remote Sensing[J];Advances in Earth Science;2010-10
2 HAN Jie1 YANG Leiku1 LI Jiaguo2,3 MENG Qingyan2,3 LI Huina4(1 School of Surveying and Land Information Engineering,Henan Polytechnic University,2001 Shiji Avenue,Jiaozuo 454000,China;2 State Key Laboratory of Remote Sensing Sciences,Institute of Remote Sensing Applications,Chinese Academy of Sciences;3 Demonstration Center for Space borne Remote Sensing of China,20 Datun Road,Beijing 100101,China;4 College of Computer Science and Technology,Henan Polytechnic University,2001 Shiji Avenue,Jiaozuo 454000,China);HJ Satellite Images Atmospheric Correction in Mountainous Areas Based on 6S Model[J];Journal of Geomatics;2011-05
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