光谱学与光谱分析 |
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NDVI Difference Rate Recognition Model of Deciduous Broad-Leaved Forest Based on HJ-CCD Remote Sensing Data |
WANG Yan1, 2, TIAN Qing-jiu1, 2*, HUANG Yan1, 2, WEI Hong-wei1, 2 |
1. International Institute for Earth System Science, Nanjing University, Nanjing 210023, China 2. Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China |
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Abstract The present paper takes Chuzhou in Anhui Province as the research area, and deciduous broad-leaved forest as the research object. Then it constructs the recognition model about deciduous broad-leaved forest was constructed using NDVI difference rate between leaf expansion and flowering and fruit-bearing, and the model was applied to HJ-CCD remote sensing image on April 1, 2012 and May 4, 2012. At last, the spatial distribution map of deciduous broad-leaved forest was extracted effectively, and the results of extraction were verified and evaluated. The result shows the validity of NDVI difference rate extraction method proposed in this paper and also verifies the applicability of using HJ-CCD data for vegetation classification and recognition.
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Received: 2012-08-01
Accepted: 2012-10-26
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Corresponding Authors:
TIAN Qing-jiu
E-mail: tianqj@nju.edu.cn
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[1] WANG Zhong-ting, LI Qing, TAO Jin-hua, et al(王中挺, 厉 青, 陶金花, 等). China Environmental Science(中国环境科学), 2009, 29(9): 902. [2] CHEN Shu-peng, ZHAO Ying-shi(陈述彭, 赵英时). Remote Sensing Analysis in Geography(遥感地学分析). Beijing: Surveying and Mapping Press(北京: 测绘出版社), 1990. 211. [3] Defries R S, Townshend J G R. International Journal of Remote Sensing, 1994, 15(17): 3567. [4] SONG Yang, WAN You-chuan, SHEN Shao-hong, et al(宋 杨,万幼川,申绍洪,等). Geomatics and Information Science of Wuhan University(武汉大学学报·信息科学版), 2007, 32(5): 406. [5] Wardlow B D, Egbert S L, Kastens J H. Remote Sensing of Environment, 2007, 108: 290. [6] Zheng Yukun, Zhuang Da-fang. Journal of the Graduate School of the Chinese Academy of Sciences, 2003, 20(1): 62. [7] Liu Aixia, Wang Jing, Lü Chunyan. Progress in Geography, 2006, 25(2): 96. [8] WANG Yu-song(王玉松). Modern Agricultural Science and Technology(现代农业科技), 2009, (3): 107. [9] JIN Cui, ZHANG Bai, SONG Kai-shan(金 翠, 张 柏, 宋开山). Resources Science(资源科学), 2009, 31(3): 515. [10] GU Juan,LI Xin, HUANG Chun-lin(顾 娟, 李 新, 黄春林). Advances in Earth Science(地球科学进展), 2010, 25(3): 127. [11] WANG Quan-fang, LI Jia(汪权方, 李 家). Resources and Environment in the Yangtze Basin(长江流域资源与环境), 2008, 17(6): 866. |
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