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《Journal of Anhui Agricultural Sciences》 2009-04
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Study on Application of Remote Sensing Image in Land Use of Yellow River Delta Based on Neural Network

YU Xiang et al(Shangdong Research Center for Eco-Environmental Science of Yellow River Delta,Binzhou,Shandong 256603)  
The spectral analysis technology and neural network classification method were used in the false color synthesis image made by Landsat TM3,4,5 wave bands to get the type of the yellow river delta land utilization,then the algorithm accuracy was tested by the Gaussian distribution monitoring points to get optimum neural network classification,the types of the yellow river delta and utilization were got by statistics method of GIS.The results indicated that the percentage of land use types in yellow river delta were as follows: arable land 33%,woodland 13%,resident land 5%,waters 27%,saline land 18% and unutilized land 4%,land utilization ratio and land reclamation rate were 51% and 46%,respectively.
【Fund】: 滨州学院青年人才创新工程基金项目(BZXYQNLG200508);; 滨州市科技发展计划项目资助
【CateGory Index】: S127
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 SUI Xue-yan1,ZHU Zhen-lin1,ZHU Chuan-bao2,YANG Li-ping1,YAO Hui-min1,GUO Hong-hai1(1.Shandong Institute of Agriculture Sustainable Development,Jinan 250100,China;2.Liaocheng Agro-technical Extension and Service Center,Liaocheng 252000,China);Study on Estimating Wheat Plant Height with MODIS Remote Sensing Data in Shandong Province[J];Shandong Agricultural Sciences;2009-02
2 GE Wei(Mineral Resources Administrative Bureau of Mingguang,Mingguang 239400);Study on method of Land Resource Image Interactive Interpretation Based on MAPGIS[J];Anhui Agricultural Science Bulletin;2008-07
3 Chen jun et al.(Regimental farm 145,agricultural division 8 of Xinjiang,Shihezi 832000,China);Study on Extracting Cotton Canopy cover with Hyperspectral Red-edge Parameters[J];Anhui Agricultural Science Bulletin;2009-09
4 WANG Jia-qiang et al (College of Plant and Technology,Tarim University,Alar,Xinjiang 843300);Application of Remote Sensing Technology on Diagnosis of Cotton Nitrogen Nutrition[J];Journal of Anhui Agricultural Sciences;2006-22
5 DU Pei-lin et al(College of Life Science,Shihezi University,Shihezi,Xinjiang 832003);Application of the Remote Sensing in Production Estimation[J];Journal of Anhui Agricultural Sciences;2007-03
6 LU Wei et al(Jiangsu Provincial Key Laboratory of Modern Agricultural Equipment and Technology,Jiangsu University,Zhenjiang,Jiangsu 212013);Application of the Hyperspectral Technology in Diagnose of and Monitor of the Information of Crop Growth[J];Journal of Anhui Agricultural Sciences;2007-06
7 LIANG Chun-li et al(Graduate School,China University of Geosciences,Wuhan,Hubei 430074);Study on Remote Sensing and Airborne Survey Information Integration Model in Sandstone Type Uranium Deposit[J];Journal of Anhui Agricultural Sciences;2007-23
8 FAN Ke-yan et al (Colllege of Biology,Shihezi University,Shihezi,Xinjiang 832003);Estimation Models of Processing Tomato Yield Based on Canopy Hyperspectral Remote Sensing[J];Journal of Anhui Agricultural Sciences;2008-10
9 WANG Yu-jiang et al (Binzhou University,Binzhou,Shandong 256603);Study on the Circular Economy of Building Reed Wetland in Ancient Yellow River Delta Coastal Zone[J];Journal of Anhui Agricultural Sciences;2008-13
10 LI Yue et al(Shandong University at Weihai,Weihai,Shandong 264209);Study on Marine Medical Mollusk in Cheniers and Wetland Nature Reserve of Wudi[J];Journal of Anhui Agricultural Sciences;2008-17
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