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《河北师范大学学报》 1999-02
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Study of Forest Vegetation Classification with Remote Sensing

YUAN Jin guo (College of Resource and Environment Science,Hebei Normal University,Shijiazhuang,050016,China)  
The study methods of identifying forest vegetation classes are described.based on this study,forest vegetation classification based on vegetation index is proposed.According to reflectance data of vegetation canopy and soilline equation NIR= 1.506R +0.0076 in Changchun Jingyuetan district,many vegetation index are calculated and analyzed.The relationships of vegetation index and vegetation classes are:PVI identifies broadleaf forest and conifer forest the most easily,the next are TSAVI and MSAVI,but their calculation is complex.RVI values of different conifer trees vary obviously,so RVI can classify conifer trees.In a word,combination of PVI and RVI can classify different vegetation.
【CateGory Index】: TP79
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【References】
Chinese Journal Full-text Database 10 Hits
1 Tian Jing;Xing Yanqiu;Yao Songtao;Zeng Xujing;Jiao Yitao;Research Center of Forest Operations and Environment,Northeast Forestry University;;Comparison of Landsat-TM Image Forest Type Classification Based on Cellular Automata and BP Neural Network Algorithm[J];林业科学;2017-02
2 ZHOU Qiuwen;LUO Ya;SU Weici;ZHANG Junyi;School of Geography and Environment Science, Guizhou Normal University;Institute of Mountain Resources, Guizhou Academy of Sciences;School of Geography and Tourism, Chongqing Normal University;School of Geographic & Oceanographic Sciences, Nanjing University;;Constructing a rapid vegetation mapping method based on multi-information in karst area[J];生态科学;2015-01
3 JIANG Yang;LI Yan;Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology,International Institute for Earth System Science,Nanjing University;;The extraction of forest information and the spatial distribution of its change in Zhejiang Province[J];生态学报;2014-24
4 GUO Yage1,YU Xinfang2,JIANG Dong2,WANG Shikuan2 and JIANG Xiaosan1(1.The College of Resources and Environment Science,Nanjing Agriculture University,Nanjing 210095,China; 2.Institute of Geographic Science and Natural Resources Research,CAS,Beijing 100101,China);Study on Forest Classification Based on Object Oriented Techniques[J];地球信息科学学报;2012-04
5 CHEN Xiu-zhi①,②,③,④,CHEN Shui-sen①,SU Yong-xian①,③,④,CHEN Yan-qiao①,LI Dan①,③,④(① Guangzhou Institute of Geography,Guangzhou 510070; ② East China Institute of Technology,Jiangxi Province Key Lab for Digital Land,Wushun 34400; ③ Guangzhou Institute of Geochemistry,Chinese Academy of Sciences,Guangzhou 510640; ④ Graduate University of Chinese Academy of Sciences,Beijing 100049);Retrieving Land Surface Temperature from AMSR-E Remote Sensing Data——A Case Study over Guangdong During Spring Cold Disaster in 2008[J];遥感信息;2011-05
6 QIAO Zhen-min et al(College of Geo-exploration Science and Technology,Jilin University,Changchun,Jilin 130026);Application of SPOT-VGT Time Series Data in Land Coverage[J];安徽农业科学;2011-03
7 CHEN Zuozhong(Institute of Botany,Chinese Academy of Sciences,Beijing 100093,China);Enhancing the Scientific and Monitoring Capacity and Improving the Technological Level in Protected Areas[J];江西林业科技;2009-02
8 YU Su-fang et al(Forestry college of Guangxi University,Nanning,Guangxi 530005);Research on Application of "3S" Technology in Vegetation Distribution[J];安徽农业科学;2009-12
9 JING Xia1,2,WANG Jin-di1,WANG Ji-hua2,HUANG Wen-jiang2,LIU Liang-yun2(1.School of Geography,Beijing Normal University,Beijing 100875,China;2.National Engineering Research Center for Information Technology in Agriculture,Beijing 100097,China);Classifying Forest Vegetation Using Sub-region Classification Based on Multi-temporal Remote Sensing Images[J];遥感技术与应用;2008-04
10 YUAN Jinguo, WANG Wei College of Resource and Environmental Sciences, Hebei Normal University, Shijiazhuang 050016, China;Research on Multi-source Remote Sensing Information Fusion Application[J];地球信息科学;2005-03
【Citations】
Chinese Journal Full-text Database 3 Hits
1 Jin Wenji;Liu Zhengkai(Information Processing Center,Univ,of Sci.& Teck.of China);A Mixed Classification Method for Multicategory Remotely-sensed Image Recognition[J];环境遥感;1995-04
2 Wu Bingfang;Huang Xuan; Tian Zhigang (LREIS,Institute of Geography, Ghinese Academy of Sciences Beijing 100101);Vegetation Mapping Using Remote Sensing and Geographic Information System Technique at Pusch Ridge,Tucson,State Arizona, USA[J];环境遥感;1995-01
3 Zhang Yangqing;Liu Zhengkai(Information Processing Center,Univ. of Sci.& Tech.oj China);Accuracy Improving of Neural Network Classification for Remotely-sensed Data by Using of Fractal Dimension[J];环境遥感;1994-01
【Co-citations】
Chinese Journal Full-text Database 9 Hits
1 LV Jie;HAO Ningyan;LI Chonggui;SHI Xiaoliang;LI Zongze;College of Geomatics,Xi'an University of Science and Technology;;Identification of Forest Type Based on Random Forest and Texture Characteristics[J];遥感信息;2017-06
2 LI Ying;LI Yaohui;WANG Jinxin;ZHANG Chengcai;Henan Key Laboratory of Agrometeorological Support and Applied Technique,CMA;Henan Institute of Meteorological Sciences;School of Water Conservancy and Environment,Zhengzhou University;;A Comparative Study of SVM and ANN in Multispectral Image Classification[J];海洋测绘;2016-05
3 JIN Jie;ZHU Hai-yan;LI Zi-xiao;SUN Jian-wei;College of Hydropower,Hebei University of Engineering;Water Conservancy Bureau of Handan;;The Comparison of Several Kinds of Supervised Classification Methods in ENVI Remote Sensing Image Processing[J];水利科技与经济;2014-01
4 LIAO Wenfeng;Multi-source Remote Sensing Data Fusion Based on HIS[J];地理空间信息;2012-01
5 TANG Jian-guo1,2,William ZHU1,SHE Kun1,CHEN Wen1,3(1.School of Computer Science & Engineering,University of Electronic Science & Technology of China,Chengdu 611731,China;2.School of Computer Science & Engineering,Xinjiang University of Finance & Economics,Urumqi 830012,China;3.Dept.of Computer Science,Fuzhou Polytechnic,Fuzhou 350108,China);Survey on combination of rough sets and other soft computing theories[J];计算机应用研究;2010-07
6 WANG Lu1,2,LIU Yan-hua3,LIU Zhen-hua1,Xu Jian-bo1,YAN Hui-chao1(1 College of Information,South China Agricultural University,Guangzhou,Guangdong 510642,China;2 Guangzhou Institute of Geochemistry,Chinese Academy of Sciences,Guangzhou,Guangdong 510640,China;3 Chengyang Bureau of Land and Resources in Qingdao City,Qingdao,Shandong 266109,China);Study on classification method of TM image with Basic Competitive Neural network[J];西北农林科技大学学报(自然科学版);2009-08
7 ZHAO Xiao-jing1,YANG Feng-hai1,LIU Yan-xia2,ZHANG Lei1,WANG Shuai1(1.The College of Resource and Environment of Northeast Agricultural University,Harbin 150030,China;2.Remote Sensing Technology Centre of Heilongjiang Academy of Agricultural Sciences,Harbin 150030,China);Analysis on Utilization Changing of Zhalong Wetland[J];测绘与空间地理信息;2009-01
8 Chen Yonghui Li Xiaojuan Hu Deyong(Key Lab of 3D Acquisition and Application,MOE,College of Resource Environment and Tourism,CNU,Beijing 100048,China);Review on the Methods for Extracting Land Cover Thematic Information from Remote Sensing Image[J];首都师范大学学报(自然科学版);2009-01
9 ZHU Xiu-fang , PAN Yao-zhong , GU Xiao-he , HAN Li-jian , WANG Shuang , PANG Xin-hua Zhu Xiu-fang , Pan Yao-zhong , Gu Xiao-he , Han Li-jian , Wang Shuang , Pang Xin-hua( Key Laboratory of Environment Change and Natural Disaster, Ministry of Education of China, Beijing Normal University; College of Resources Science & Technology, Beijing Normal University, Beijing 100875);A Study on Self-revised Classification of Remote Sensing Images[J];遥感信息;2007-05
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 LIU Zhongzheng;Application of 3S Techniques in Vegetation Type Investigation in Yajiang[J];地理空间信息;2013-02
2 ZHANG Zhi-ming,ZHANG Zheng-kai,GUO Yin-ming,TAO Guo-qing,OU Xiao-kun(Institute of Ecology and Geobotany,Yunnan University,Kunming 650091,China);Mountain vegetation mapping using remote sensing[J];云南大学学报(自然科学版);2013-03
3 TANG Dai-sheng1,YIN Jing1,PENG Zhen-bao2,KUANG Bo-gen2,YUAN Zheng-ke3,XIA Jiang-lin2(1.School of Forestry,Central South University of Forestry & Technology,Changsha 410004,Hunan,China;2.Nanyue Arboretum,Hengyang 421900,Hunan,China;3.Hunan Academy of Forestry,Changsha 410004,Hunan,China);Drawing of vegetation distribution map of Nanyue based on 3S technology[J];中南林业科技大学学报;2013-01
4 CHEN Li1,LIN Hui1,SUN Hua1,YAN En-ping1,WANG Jia-jun2(a.Research Center of Forestry Remote Sensing & Information Engineering;b.School of Forestry,Central South University of Forestry and Technology,Changsha 410004,Hunan,China);Studies on information extraction of forest in Zhuzhou city based on decision tree classification[J];中南林业科技大学学报;2013-01
5 Liu Hua Chen Yongfu Ju Hongbo Lei Yuancai(Research Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing 100091,China);Inspiration of Forest Resources Monitoring in USA for Integrated Forest Resources Monitoring System in China[J];世界林业研究;2012-06
6 YANG Zhongbao ZHAO Minhui(School of Resources and Environment,Yuxi Normal University,Yuxi,Yunnan 653100,China);Interpretation of the Remote Sensing Data of the Vegetation in the Working Section of the Phosphorite Mine in the Watershed of the Dongda River of the Fuxian Lake Basin Based on 3S Technology[J];玉溪师范学院学报;2012-12
7 YANG Shao-e1,TAN Yu-mo1,HU Jun-ming2(1Agricultural Resources and Environment Research Institute,Guangxi Academy of Agricultural Sciences,Nanning 530007,China;2Agricultural Scientific and Technological Information Research Institute,Guangxi Academy of Agricultural Sciences,Nanning 530007,China);Analysis of Guangxi vegetation variation characteristics during recent decade based on NDVI[J];南方农业学报;2012-11
8 JIA Kun1,2,LI Qiang-zi1*,TIAN Yi-chen1,WU Bing-fang11.Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China;A Review of Classification Methods of Remote Sensing Imagery[J];光谱学与光谱分析;2011-10
9 ZHANG Hong1,JIN Xue-lin2,LI Zhi-jun1(1.Taibai Nature Reserve Administration,Meixian,Shaanxi 722300;2.Wild Life Rescuer Center of Shaanxi,Zhouzhi,Shaanxi 710400);Interpretation of Vegetation Images Taken by Satellite or though Remote Sense in Taibai Nature Reserve of Shaanxi[J];陕西林业科技;2011-02
10 WANG Shaohua1,2,3,ZHANG Maozhen1,2,3,ZHAO Pingan1,2,3,CHEN jinxing1,2,3 1 Zhejiang Provincial Key Laboratory of Carbon in Forest Ecosystems and Carbon Sequestration,Zhejiang A&F University,Lin′an 311300,China 2 The Nurturing Station for the State Key Laboratory of Subtropical Silviculture,Lin′an 311300,China 3 School of Environmental Sciences & Technologies,Zhejiang A&F University,Lin′an 311300,China;Modelling the spatial distribution of forest carbon stocks with artificial neural network based on TM images and forest inventory data[J];生态学报;2011-04
【Secondary References】
Chinese Journal Full-text Database 10 Hits
1 LUO Liang;YAN Huimin;NIU Zhong'en;Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences;University of Chinese Academy of Sciences;;Comparative Analysis on Three Multi-Source Remote Sensing Data Fusion Models in Monitoring Farmland Productivity[J];地球信息科学学报;2018-02
2 LIU Dandan;TIAN Jing;GAO Yanping;MEI Xiaodan;ZHU Jiwen;Heilongjiang Institute of Technology College of Surveying and Mapping Engineering;;Estimate of Forest Canopy Density Based on the Dimidiate Pixel Model by Using Remote Sensing Imagery[J];测绘与空间地理信息;2018-02
3 SUN Zhen-dong;Shandong Library;;Multi-source Data Fusion Oriented Bayesian Estimation Method Research[J];齐鲁工业大学学报;2018-01
4 FAN Jun;ZHAO Rong-rong;Wang Ting-ting;Information Center for Land Resources of Nanjing;Jiangsu Geologic Surveying and Mapping Institute;College of Civil Engineering,Nanjing Forestry University;;Data Fusion Method and Its' Quality Evaluation Based on Landsat 8 OLI Remote Sensing Images[J];现代测绘;2018-01
5 LIANG Wenhai;LIU Jikai;CHEN Qi;CHEN Xiandong;ZHONG Shiquan;Guangxi Forest Inventory and Planning Institute;University of Science and Technology of Anhui;Guangxi Institute of Meteorology,Nanning/Remote Sensing Application and Test Base of National Satellite Meteorology Centre;;A Comparison of Object-oriented Methods of Extracting Eucalyptus Information Based on GF-2 Images[J];林业资源管理;2017-06
6 CHANG Ze-xiu;JI Chang-dong;LI Hui;JING Lin-hai;College of Surveying,Mapping and Geographical Science,Liaoning Technical University;Key Laboratory of Digital Earth,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences;;Damaged Road Extraction from Semi-Post High Resolution Remote Sensing Imagery[J];测绘与空间地理信息;2017-12
7 XIANG Hai-yan;LUO Hong-xia;LIU Guang-peng;YANG Ren-fei;LEI Xi;CHENG Yu-si;CHEN Jing-yi;School of Geographical Science/Chongqing Key Laboratory of Karst Environment,Southwest University;;Land Cover Classification in Mountain Areas Based on Sentinel-1A Polarimetric SAR Data and Object Oriented Method[J];自然资源学报;2017-12
8 LIN Hui;SHAO Congying;LI Haitao;GU Haiyan;WANG Lijuan;School of Planning,Geomatics and Geography of Jiangsu Normal University;Chinese Academy of Surveying and Mapping;;Five Object-oriented Classification Methods Analysis Based on High-resolution Remote Sensing Image[J];测绘通报;2017-11
9 DAI Jing-jing;WU Ya-nan;WANG Deng-hong;LING Tian-yu;WANG Jun-hua;MLR Key Laboratory of Metallogeny and Mineral Assessment,Institute of Mineral Resources,Chinese Academy of Geological Sciences;School of Earth Science and Resource,China University of Geosciences(Beijing);;Object-oriented Classification for the Extraction of Remote Sensing Information in Rare Earth Mining Areas[J];地球学报;2018-01
10 LIANG Wenhai;LIU Jikai;ZHANG Wei;LI Xinwei;ZHONG Shiquan;Guangxi Forest Inventory and Planning Institute;University of Science and Technology of Anhui;Guangxi Institute of Meteorology, Nanning/Remote Sensing Application and Test Base of National Satellite Meteorology Centre;;Extracting Eucalyptus information using GF-2 images based on an object-oriented method[J];浙江农林大学学报;2017-04
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