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《Chinese Agricultural Science Bulletin》 2014-28
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Forest Vegetation Information Computer Automatic Extraction Base on Landsat-8

Zhang Ying;Wang Yuenan;Chen Li;Liu Xiuying;Henan Radio & Television University;Anhua Forestry;Research Center of Forestry Remote Sensing & Information Engineering, Central South University of Forestry & Technology;Agronomy College, Henan University of Science and Technology;  
Landsat-8 with two main load, OLI(operational land imager) and TIRS(thermal infrared sensor),can provide 15 m panchromatic band and 30 m resolution multispectral bands. OLI included nine bands, TIRS included two hot red bands, pan band 8 was narrower. This approach can better distinguish between vegetation and no vegetation characteristics on the full-color image. In this study, taking Youxian for example, after tasseled cap transformation and principal component analyzing and processing based on Lands at-8 remote sensing image, vegetation was extracted by using decision tree classification model. The results showed that:the Land sat-8 after tasseled cap transformation and principal component analyzing and processing could significantly enhance the texture information of the image, and highlight the land features. After tasseled cap transformation and processing of principal component analysis, put the gray values as a threshold of decisiontree classification and used the computer automatic extraction, the overall accuracy was 84.7%, with an area of forest vegetation of 150911.7 hm2. Compared with the previous threshold band using only gray values and vegetation index, the accuracy was significantly increased and the method was also improved, which could led to better extraction results.
【Fund】: 河南省2013年科技攻关项目“冬小麦主要生理指标的高光谱定量提取与应用研究”(132102110210)
【CateGory Index】: TP751;S718.5
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Chinese Journal Full-text Database 4 Hits
1 YANG Guang~(1,2),LIU Xiang-nan~3 (1.Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences, Changchun 130012, China; 2.The Sixth Department, the Second Aeronautical Institute of Air Force, Changchun 130022, China; 3. College of Urban and Environment Science, Northeast Normal University, Changchun 130024, China);THE PRESENT RESEARCH CONDITION AND DEVELOPMENT TREND OF REMOTELY SENSED IMAGERY INTERPRETATION[J];Remote Sensing For Land & Resources;2004-02
2 DENG Shu-bin1,WU Hong-gan2,JIANG Tao1 (1.Shandong University of Science and Technology,Qingdao 266510,China;2.Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing 100091,China);AN APPROACH TO THE EXTRACTION OF REMOTELY-SENSED INFORMATION OF FOREST COVERAGE BASED ON PCA/NDVI[J];Remote Sensing for Land & Resources;2007-02
3 Ge Hongli~1 Zhou Guomo~2 Zhang Guojiang~2 Du Qun~2 Xu Da~2(1. School of Environment Technology, Zhejiang Forestry College Lin'an 311300;2. Monitoring Center for Forest Resources in Zhejiang Province Hangzhou 310020);RS-Land Three-Phase Sampling Technique and Its Application to Area Estimation in Annual Forest Inventory[J];Scientia Silvae Sinicae;2007-06
4 Chen Yongfu Wang Zhengqing Zhang Yugui Zhang Yanzhong;Expert System Applied for TM Image Classification[J];ROREST RESEARCH;1996-04
Chinese Journal Full-text Database 10 Hits
1 HUANG Xue-feng et al(Economics and Management College,Sichuan Agricultural Unviersity,Yaan,Sichuan 625014);Study on NDVI Changes in Sichuan Basin Based on Landsat[J];Journal of Anhui Agricultural Sciences;2009-07
2 GUAN Feng-ying et al (Key Laboratory of Bamboo and Rattan,International Centre for Bamboo and Rattan,Beijing 100102);Study on the Extraction Methods of Remote Sensing Information of Bamboo Forest[J];Journal of Anhui Agricultural Sciences;2010-08
3 LI Hai-bo et al(College of Population Resource and Environment,Shandong Normal University,Jinan,Shandong 250014);Ecological Security Assessment of Sewage Irrigation Area[J];Journal of Anhui Agricultural Sciences;2012-03
4 MA You-ping~(1,2);FENG Zhong-ke~1;HE You-jun~3;ZHANG Zhi-hua~4.1 Institute of GIS,RS & GPS,Beijing Forestry University,100083,P.R.China;2 School of Biological Sciences and Biotechnology,Hubei Institute for Nationalities,Enshi City,445000,P.R.China;3 Research Institute of Forestry Policy and Information,Chinese Academy of Forestry,Beijing,100091,P.R.China;4 The Postgraduate Department,Southwest Forestry College,Kunming,650224,P.R.China.;QuickBird image fusion using ERDAS IMAGINE software.[J];Journal of Beijing Forestry University;2007-S2
5 LI Shi-ming1;WANG Zhi-hui1,2;HAN Xue-wen3;JIA Ke4.1 Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing,100091,P.R.China;2 College of Geoscience and Surveying Engineering,China University of Mining & Technology (Beijing),100083,P.R.China;3 Development Center of Science and Technology,State Forestry Administration,Beijing,100714,P.R.China;4 Information Technology Department,University of International Relations,Beijing,100091,P.R.China.;Overview of forest resources change detection methods using remote sensing techniques[J];Journal of Beijing Forestry University;2011-03
6 WU Jian,PAN Jun,XING Li-xin,LIU An-tao College of GeoExploration of Science and Technology,Jilin University, Changchun 130026,China;Distilling Type Information of Vegetation Based on Slight Subarea[J];Journal of Jilin University(Earth Science Edition);2007-S1
7 HE Fen-qin1,HE Zheng-wei2,3, HU Zhen-qi1,YIN Jian-zhong4,FANG Shi-bo51.Institute of Land Reclamation and Ecological Restoration,China University of Mining and Technology,Beijing 100083,China;2.Institute of Digital Land and Ecological Science,Chengdu University of Technology,Chengdu 610059,China;3.Beijing Municipal Key Laboratory for Resource Environment and Geographic Information System,Captial Normal University,Beijing 100037,China; 4.State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China;5.Institute of Botany,CAS,Beijing 100093,China;Automatic detection of land cover change based on modified principal component analysis method[J];Journal of Chengdu University of Technology(Science & Technology Edition);2007-01
8 WEI Cong-ling1,FU Li-ping2 (1.College of Geography Science,Southwest University,Chongqing 400715,China;2.Dept.of Information Engineering,Henan Economic Management School,Nanyang 473000,China);The comparative research of initializing cluster centers for unsupervised classification[J];Engineering of Surveying and Mapping;2009-01
9 PENG Wen-fu①②,HE Zheng-wei①,ZHOU Jie-ming②,XU Hui-xi①,YIN Jinag-tao①,YANG Bin①,YANG Ynag①(①Chengdu University of Technology Ministerial Key Lab of Land and Resources Information and Applied Technology Chengdu 610059;②The institute of geography and resources science Sichuan Normal University,Chengdu 610068);Analysis on RS image interpretation of land use renew investigation in Shiping county,Yunnan province[J];Science of Surveying and Mapping;2007-06
10 XU Qiu-xiao①,YU Ming-yang②,CUI Jian②(① Shandong Provincial Geo-mineral Engineering Exploration Institute, Jinan 250014,China; ② Shandong Jianzhu University, Jinan 250101,China)——taking Longkou city for example;Dynamic monitoring of land use space-time changes based on remote sensing images comprehension model——taking Longkou city for example[J];Science of Surveying and Mapping;2008-02
China Proceedings of conference Full-text Database 3 Hits
1 TIAN Hong-wei, ZHAO Hui-jie (Beijing University of Aeronautics & Astronautics, Beijing 100083, China);High order statistics based anomaly detection research for hyperspectral remote sensing[A];[C];2005
2 Xiao Dan~1 An Yulun~2 Xiong Kangning~(2*) (1.School of Economics and Management,Guizhou College of Finance and Economics,Guiyang,Guizhou, 550004,China 2.School of Geography and Biology Sciences,Guizhou Normal University,Guiyang,Guizhou, 550001,China 3.Institute of South China Karst,Guizhou Normal University,Guiyang,Guizhou,550001.China);A Study on the Interpretation and Pattern of the Karst Landscape under the Support of 3S Techniques——With a Special Reference to Qingzhen City in Guizhou Province[A];[C];2009
3 ;BP neural network usedin classfication of land cover[A];[C];2007
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 Qin Qiming(Institute of Remote Sensing & GIS of Peking University,Beijing,100871);The Problem and Approach in the Auto-interpretation of Remote Sensing Imagery[J];DEVELOPMENTS IN SURVEYING AND MAPPING;2000-02
2 SHI Wen zhong 1,ZHU Chang qing 1,2 ,WANG Yu 3 (1. Department of Land Surveying and Geo informatics,The Hongkong Polytechnic University,Hong Kong,China; 2.Institute of Surveying & Mapping,Information Engineering University of PLA, Zhengzhou 45005;Road Feature Extraction from Remotely Sensed Image:Review and Prospects[J];Acta Geodaetica Et Cartographic Sinica;2001-03
3 LUO Jian-cheng 1, WANG Qin-min 2, ZHOU Cheng-hu 1, LEUNG Yee 3 (1. Institute of Geographical Science and Natural Resources Research, CAS, Beijing 100101, China; 2. Fuzhou University,Fuzhou 350002,China; 3. Department of Geography, The Chinese Univers;Adaptive Resonance Theory for Classification of Remotely Sensed Image[J];Acta Geodaetica Et Cartographic Sinica;2002-02
4 Zhu Honglei (LREIS, Institute of Geography, Beijing, 100101) Mao Zanyou (Institute of Remote Sensing and GIS, Beijing University, Beijing, 100871);KNOWLEDGE BASED IMAGE CLASSIFICATION APPROACH SUPPORTED BY A GIS[J];ACTA GEODAETICA ET CARTOGRAPHIC SINICA;1997-04
5 LUO Jian cheng (LREIS, Institute of Geographic Science and Resources Research, CAS, Beijing 100101, China);Remote-Sensing Intelligent Geo-Interpretation Model and its Geo-Cognition Issue[J];Progress In Geography;2000-04
6 Zhang Jianting Qiu Youliang (Institute of Geography, Chinese Academy of Sciences, Beijing 100101);A REVIEW ON ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEM IN GEO APPLICATION[J];PROGRESS IN GEOGRAPHY;1998-01
7 ZHENG JiangLUO JianchengCHEN QiuxiaoCAI ShaohuaLU XuejunSHEN ZhanfengSUN Qinghui(Nation Laboratory of Resources and Environment Information System, IGSNRR, CAS, Beijing 100101);Knowledge-Based Intelligent RS Understanding System[J];Geo-information Science;2003-01
8 WU Hai-ping~1, HUANG Shi-cun~2 (1.China Land Surveying and Planning Institute, Beijing 100035, China; 2.China Remote Sensing Ground Station, Beijing 100086, China);THE SUBSEQUENT DISPOSAL OF AUTOMATICALLY DETECTED LAND USE CHANGE INFORMATION[J];Remote Sensing For Land & Resources;2005-01
9 LI Shi-hua~1, WANG Jin-liang~1, BI Yan~(1,2), CHEN Yao~1, ZHU Miao-yuan~1, YANG Shuai~3, ZHU Jia~1 (1.College of Tourism and Geographic Science,Yunnan Normal University,Kunming 650092, China; 2.Yunnan Institute of Parasitical Disease, Simao 665000,China; 3.The No.1 middle school of Kaiyuan city, Kaiyuan 661600, China);A REVIEW OF METHODS FOR CLASSIFICATION OF REMOTE SENSING IMAGES[J];Remote Sensing For Land & Resources;2005-02
10 LIU Mei-ling~(1,2),QI Qing-wen~2,ZOU Xiu-ping~2,LI Jin~2(1.School of the Earth Sciences and Resources,China University of Geosciences,Beijing 100083,China;2.Institute of Geographical Science and Natural Resource Research,CAS,Beijing 100101,China);SPATIAL-TEMPORAL CHANGES OF THE LAND USE/COVER IN BORDER AREAS OF YUNNAN PROVINCE[J];Remote Sensing for Land & Resources;2006-01
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