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《Transactions of the Chinese Society of Agricultural Engineering》 2015-19
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Soil moisture monitoring based on measured hyperspectral index and HSI image index

Li Xiang;Ding Jianli;College of Resources and Environmental Sciences, Xinjiang University;Key Laboratory of Oasis Ecology (Xinjiang University) Ministry of Education;  
In order to explore the intrinsic relationship between soil moisture and hyperspectral vegetation indices, and achieve fast and accurate monitoring of soil moisture, 26 vegetation indices were chosen and figured out based on the hyperspectral data measured by ASD spectrometer and the HSI image data in a typical study area. These hyperspectral vegetation indices and soil moisture data measured in laboratory, which were collected from the northeast of delta oasis of Weigan and Kuqa rivers, were analyzed with the gray relative analysis method, and there were 5 indices which had higher correlation with soil moisture among 26 vegetation indices. These indices were selected; using the multiple linear regression, the soil moisture inversion models based on the measured spectral index and the image spectral index were established respectively, and then the inversion model based on the HSI hyperspectral image vegetation indices was corrected with that based on the measured indices. The purpose of this paper was to determine the optimal model through comparing the precision of the model and the correction between the 2 models, and thus could solve the difficulty that hyperspectral vegetation index estimated soil moisture in the oasis of arid area, and improve the precision of estimation. The results showed that: The fittings of 2 kinds of soil moisture inversion models were satisfied, and the 2 models' determination coefficients(R2) were both higher than 0.589 and the models had better stability; the estimation accuracies of 2 kinds of soil moisture inversion models in the soil depth of 0-10 cm were the best. The accuracy of soil moisture inversion model based on the measured hyperspectral vegetation indices was higher than that based on the HSI image vegetation indices. In the soil moisture inversion model based on the measured hyperspectral vegetation indices, the best combination of vegetation indices included mS R705, SAVI2, mN DVI705, SARVI and VOG3, and the value of R2 was 0.668, and through the 0.001 significance level inspection, the R2 value of inspection sample was 0.730, the root mean square error(RMSE) was 0.0021. In the soil moisture inversion model based on the HSI hyperspectral image, the best combination of vegetation indices included ARVI, RVI, MSR, NDVI and OSAVI, and the coefficient of determination was 0.589, and through the 0.001 significance level inspection, the R2 value of inspection sample was 0.610, the RMSE was 0.0020. After being corrected, the accuracy of HSI image soil moisture inversion model was greatly improved, and the coefficient of determination was raised from 0.589 to 0.711 and the RMSE was decreased from 0.0020 to 0.0014. The corrected HSI image soil moisture inversion model can improve the accuracy under the regional scale. This paper studies the scale transformation of the soil moisture content high spectral inversion model from the point to the continuous surface of dispersed point and then to the surface of the soil. Through application of this method, it will be feasible to carry out remote sensing monitoring of soil moisture content, and provide reference for further improvement of the accuracy of quantitative remote sensing monitoring of soil moisture content under the regional scale.
【Fund】: 新疆维吾尔自治区青年科技创新人才培养工程(2013711014);; 国家自然科学基金项目(U1303381 41261090 41130531 41161063);; 教育部新世纪优秀人才支持计划(NCET-12-1075);; 霍英东青年教师基金项目(121018);; 教育部长江学者计划创新团队计划(IRT1180)
【CateGory Index】: S127;S152.7
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Chinese Journal Full-text Database 10 Hits
1 Mansuer Shabiti,CHU Xin-zheng(Geographic Science and Tourism Institute,Xinjiang Normal University,Urumqi,Xinjiang 830054,China);Analysis on the characteristics of space-time change of landuse in the oasis on the Ugan-Kuqa River Delta,Xinjiang[J];Agricultural Research in the Arid Areas;2007-04
2 ZHANG Ying1,2,3,MENG Qing-yan1,2*,WU Jia-li4,ZHAO Feng51.State Key Laboratory of Remote Sensing Science,Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China2.Center for Spaceborne Remote Sensing Demonstration,China National Space Administration,Beijing 100101,China3.Graduate University of Chinese Academy of Sciences,Beijing 100039,China4.Institute of Mechanics,Chinese Academy of Sciences,Beijing 100190,China5.Beihang University,Beijing 100191,China;Study of Environmental Vegetation Index Based on Environment Satellite CCD Data and LAI Inversion[J];Spectroscopy and Spectral Analysis;2011-10
3 ZHANG Sufang,MA Li(Resource Environment & Tourism College,Capital Normal University,Beijing 100048,P.R.China);Comparative study on surface soil water content of woodlandand grassland on Bashang plateau[J];Journal of Arid Land Resources and Environment;2013-02
4 PENG Jie;WANG Jia-qiang;XIANG Hong-ying;TENG Hong-fen;LIU Wei-yang;CHI Chun-ming;NIU Jian-long;GUO Yan;SHI Zhou;College of Plant Science,Tarim University;Institute of Agricultural Remote Sensing and Information Technology Application,College of Environmental and ResourceSciences,Zhejiang University;;Comparative Study on Hyperspectral Inversion Accuracy of Soil Salt Content and Electrical Conductivity[J];Spectroscopy and Spectral Analysis;2014-02
5 ZhengYang YAO;JianJun LIU;XiaoWen ZHAO;DongFeng LONG;Li WANG;College of Landscape Architecture and Arts,Northwest A&F University;College of Forestry,Northwest A&F University;;Spatial dynamics of aboveground carbon stock in urban green space:a case study of Xi'an,China[J];干旱区科学(英文版);2015-03
6 LIU Wei1,CHANG Qing-Rui1,GUO Man1,XING Dong-Xing1,2,YUAN Yong-Sheng1(1.College of Resources and Environment,Northwest A&F University,Yangling 712100,China; 2.Department of Resources Environment,Xian yang Normal College,Xianyang 712000,China);Analysis on derivative spectrum feature for SOM under different scales of differential window[J];Journal of Infrared and Millimeter Waves;2011-04
7 Wang Jinliang1, Qin Qiming1※, Liu Mingchao1, Zhu Lin2 (1. Institute of Remote Sensing and Geographic Information System, Peking University, Beijing 100871, China; 2. National Satellite Meteorological Center, Beijing 100081, China);Soil moisture data assimilation based on NDVI optimization[J];Transactions of the Chinese Society of Agricultural Engineering;2011-12
8 Xu Chi;Zeng Wenzhi;Huang Jiesheng;Wu Jingwei;State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University;;Modelling soil water content in plow layer using co-kriging interpolation based on hyperspectral data[J];Transactions of the Chinese Society of Agricultural Engineering;2014-13
9 Wu Chunlei;Qin Qiming;Li Mei;Zhang Ning;Institute of Remote Sensing and Geographic Information System, Peking University;Beijing Institute of Tracking and Telecommunication Technology;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences;;Soil moisture monitoring of vegetative area in farmland by remote sensing based on spectral feature space[J];Transactions of the Chinese Society of Agricultural Engineering;2014-16
10 LI Ling-fen1,YAN Jun-ping1,LIU Dong-mei2,CHEN Feng1,DING Jin-mei1(1.College of Tourism and Environment,Shaanxi Normal University,Xi'an,Shaanxi 710062;2.Xijing University,Xi'an,Shaanxi 710123,China);Variation of Soil Moisture in Arid and Semi-arid Areas Under Different Vegetations and the Ways of Ecological Construction[J];Bulletin of Soil and Water Conservation;2009-01
Chinese Journal Full-text Database 10 Hits
1 Zhang Aimin et al (Anhui Meteorological Research Institute,Hefei,Anhui 230031);Study on Quantitative Monitoring and Assessing Methods of Agro-meteorological Disasters in Anhui Province[J];Journal of Anhui Agricultural Sciences;2004-04
2 XIE Jiang-xia et al (College of Atmospheric Science, Lanzhou University, Lanzhou, Gansu 730000);Study on the Agricultural Drought Monitoring Models Based on Remote Sensing[J];Journal of Anhui Agricultural Sciences;2008-08
3 HU Hong-wu et al(College School of Environmental Science and Engineering,Nanchang University,Nanchang,Jiangxi 330031);Research on Drought Monitoring by Remote Sensing in Attachment[J];Journal of Anhui Agricultural Sciences;2008-33
4 HU Rong-chen et al(Meteorological Bureau of Jiangsu Province,Nanjing,Jiangsu 210008);Comparative Study on Different Index Methods in Remote Sensing Monitoring of Drought[J];Journal of Anhui Agricultural Sciences;2009-17
5 LIU Pai-ying et al(School of Information Physics Engineering,Central South University,Changsha,Hunan 410083);Analysis on Feasibility of Drought Remote Sensing Monitoring in Complex Terrain[J];Journal of Anhui Agricultural Sciences;2010-01
6 KANG Wan-ying et al (School of Architecture Engineering,NanChang University,Nanchang,Jiangxi 330031);Establishment of Drought Monitoring System on Agriculture in Jiangxi Province[J];Journal of Anhui Agricultural Sciences;2010-13
7 WANG Jun-hua et al(Guangxi Meteorological Disaster Mitigation Institute,Remote Sensing Application and Experiment Station of National Satellite Meteorological Center,Nanning,Guangxi 530022);Drought Monitoring and Evaluation of Sugarcane Growing Region Based on MODIS Data[J];Journal of Anhui Agricultural Sciences;2010-17
8 BI Li-ge et al(Inner Mongolia Meteorological Institute,Huhhot,Inner Mongolia 010051);Research on the Drought during the Vegetation Growth Period of Inner Mongolia Based on TVDI[J];Journal of Anhui Agricultural Sciences;2011-10
9 YAN Ming ZHANG Lei(Institute of Agriculture Resources and Regional Planning of Jilin Province,Changchun Jilin 130062);Application the Anomalies of Vegetation Index in Crops Drought Monitoring in Jilin Province[J];Modern Agricultural Sciences and Technology;2010-11
10 LI Bao-fu1,2,XIONG Hei-gang3,ZHANG Jian-bing4,LONG Tao5,ZHANG Fang5(1.State Key Laboratory of Desert and Oasis Ecology,Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences, ürümqi Xinjiang 830011,China;2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China; 3.Department of Urban Science,Beijing Union University,Beijing 100083,China;4.Institute of Soil Science, Chinese Academy of Sciences,Nanjing Jiangsu 210008,China;5.College of Resources and Environmental Sciences,Xinjiang University,ürümqi Xinjiang 830046,China);The Effects of Land Use Change in Desert-Oasis Ecotones by the Gurbantunggut Desert on Soil Properties[J];Journal of Glaciology and Geocryology;2012-03
China Proceedings of conference Full-text Database 10 Hits
1 Zhe LI~(1,2) Debao TAN~2 Yuanlai CUI~1 Sui ZHANG~2 (1.State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University,Wuhan,Hubei,430070; 2.Spatial Informatin Technology Application Institute, Changjiang River Scientific Research Institute,Wuhan,Hubei,430010);Soil Moisture Remote Sensing Monitoring for Hubei Zhanghe Irrigation System Using Perpendicular Drought Index[A];[C];2009
2 Wang Pengxin1, Sun Wei2 (1. College of Information and Electrical Engineering, China Agricultural University, Beijing 100081, China; 2. College of Resources and Environment, China Agricultural University, Beijing 100094, China);Studies and applications of vegetation temperature condition index’s drought monitoring approach[A];Chinese Society of Agricultural Engineering[C];2005
3 Deng Yujiao1, Xiao Qianguang2, Huang Jiang1, Cao Jing1 (1. Guangzhou Meteorological Satellite station, Guangzhou, Guangdong 510640, China; 2. National Satellite Meteorological Center, Beijing 100081, China );Application Study on Drought Remote Sensing Monitoring in Guangdong Province,2004[A];[C];2005
4 PAN Wei-hua, CHEN Jia-jin, CHEN Hui, ZHANG Chun-gui, LI Li-chun (Institute of Meteorological Science in Fujian Province, Fuzhou, 350001, China);Dynamic Monitoring of Land drought in Fujian Province based on MODIS Remotely Data[A];[C];2007
5 ZHOU Bingrong 1 SHEN Shuanghe1 2 HU Ling 3 (1 Meteorological Scientific Institute of Qinghai Province, Xining 810001, China ; 2 Nanjing University of Information Science & Technology ,Nanjing 210044,China; 3 Weather station of Qinghai Province ,Xining 810001, China );Method of Acquiring Soil Moisture Information Utilizing principal Component Analysis[A];[C];2007
6 WANG Baihe,LIU Daizhi,HUANG Shiqi,LI Yihong (The Second Artillery Engineering University,Xi'an 710025);A Review on the Research of Target Characteristics Inversion Model based on the Hyperspectral Image[A];[C];2011
7 WANG Bai-he,LIU Dai-zhi,HUANG Shi-qi,LI Yi-hong (The Second Artillery University of Engineering,Xi'an 710025,China);Advances in Researches on Spectral Analysis and Inversion Model of Vegetation in Hyperspectral Remote Sensing[A];[C];2012
8 Cao Zhangchi;SHEN Runping;Ye Tian;Feng Li;The Linyi Meteorological Bureau;Institute of Remote Sensing, Nanjing University Information Science and Technology;Shandong Meteorology Center;;Research on soil moisture monitoring using MODIS data during the drought-wet conversion period in Shandong Province[A];[C];2014
9 Yunnan Province Climate Center;;Drought Remote Sense Monitoring in Yunnan Based on TVDI[A];[C];2014
10 Fan Yun-xiao;ZHANG Wang-xiang;Wei Hong-liang;Wang Huan;Zhou Ting;Zhou Dao-jian;College of Forest,Nanjing Forestry University;;Studies on Dynamics of leaf color changes of three Ornamental Crabapple[A];[C];2014
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 YIN Jian-dao et al (Tianjin University of Technology,Tianjin 300191);Research on the Relationship between the Content of Salt in Soil and the Electric Conductivity in Coastal Area of Tianjin[J];Journal of Anhui Agricultural Sciences;2010-30
2 Ma Qinyan(Forest Resource College);A Study on the Biomass of Chinese Pine Forests[J];Journal of Beijing Forestry University;1989-04
3 Yang Haijun(Commission of Sunliao Water Conservancy, Ministry of Water Conservancy,Changchun 130021)Sun Lida Yu Xinxiao(College of Soil and Water Conservation, BFU);Study of the Water Balance for Soil and Water Conservation in Forests of Northwest Shanxi Province[J];Journal of Beijing Forestry University;1993-03
4 CHENG Ji-min1,2,CHENG Jie1,GAO Yang1(1.College of Animal Science and Technology,Northwest Sci-Tech University of Agriculture and Forestry,Yangling,Shaanxi Province 712100,China;2.Institute of Soil and Water Conservation,Chinese Academy of Sciences and Ministry of Soil Resources,Yangling,Shaanxi Province 712100,China);Alfalfa Growth Characteristics and Soil Water Dynamics of Grassland Converted from Cropland in Semi-arid Region[J];Acta Agrestia Sinica;2011-04
5 LIU Xiao-yong1,2,SONG Nai-ping1,3,HE Xiu-zhen1,2,LI Yong1,3(1.Key Laboratory of Restoration and Reconstruction of Degraded Ecosystem in Northwestern China,Ministry of Education,Ningxia Yinchuan 750021,China;2.School of Resources and Environment,Ningxia University,Ningxia Yinchuan 750021,China;3.Western Ecological Research Center,Ningxia University,Ningxia Yinchuan 750021,China);A comparison of grassland establishment pattern and comprehensive profit in ecotone of pastures and farm lands in North China——A case study of Maerzhuang of Yanchi County in Ningxia Hui Autonomous Region[J];Pratacultural Science;2011-05
6 HU Liang-jun~(1,3), SHAO Ming-an~(2,3),YANG Wen-zhi~3(1.Institute of Grassland Science, Northeast Normal University, Changchun 130024, China;2. Insititute of Geographical Science and Natural Resources Research, Beijing 100101, China;itute of Soil and Water Conservation, Chinese Academy of Sciences, Northwest Sci-tech University of Agriculture and Forestry, Yangling 712100, China);Relationship between vegetation spatial collocations and soil moisture spatial heterogeneities in the Loess Plateau area[J];Acta Pratacultural Science;2004-06
7 HE Ting WANG Jing LIN Zongjian CHENG Ye Key Laboratory of Land Use, Ministry of Land and Resources, 37 Guanyingyuanxiqu, Xicheng District, Beijing 100035,China.;Spectral Features of Soil Organic Matter[J];地球空间信息科学学报(英文版);2009-01
8 FAN Yan-guo,HOU Chun-ling,ZHU Hao,WU Teng-teng,SUN Yuan-fang(College of Geo-Resource and Information,China University of Petroleum,Qingdao 266555,China);Research on Salinity Inversion from Remote Sensing of Saline Soil Based on BP Neural Network[J];Geography and Geo-Information Science;2010-06
9 Wang Xiulan Bao Yuhai (Institute of Remote Sensing Application, Chines Academy of Sciences,Beijing 100101);STUDY ON THE METHODS OF LAND USE DYNAMIC CHANGE RESEARCH[J];PROGRESS IN GEOGRAPHY;1999-01
10 YUAN Jian ping 1,2 , JIANG Ding sheng 3 (1 Department of Resources and Environment, Beijing Normal University, Beijing 10087; 2. Monitoring Center of Soil and Water Conservation, Miusitry of Water Resources; Beijing 100053; 3 Institute o;Research on Transforming Relation from Point to Area of Infiltration Rate on Small Watershed for Hilly and Gully the Loess Region[J];Scientia Geographica Sinica;2001-03
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