Extracting distribution and expansion of rubber plantations from Landsat imagery using the C5.0 decision tree method
文献类型：期刊论文
| 作者 | Sun, Zhongchang1,2; Leinenkugel, Patrick3; Guo, Huadong1; Huang, Chong4 ; Kuenzer, Claudia3
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| 刊名 | JOURNAL OF APPLIED REMOTE SENSING
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| 出版日期 | 2017-05-02 |
| 卷号 | 11页码:21 |
| 关键词 | rubber plantation C5.0 classification dynamic change analysis Landsat |
| ISSN号 | 1931-3195 |
| DOI | 10.1117/1.JRS.11.026011 |
| 通讯作者 | Sun, Zhongchang(sunzc@radi.ac.cn) |
| 英文摘要 | Natural tropical rainforests in China's Xishuangbanna region have undergone dramatic conversion to rubber plantations in recent decades, resulting in altering the region's environment and ecological systems. Therefore, it is of great importance for local environmental and ecological protection agencies to research the distribution and expansion of rubber plantations. The objective of this paper is to monitor dynamic changes of rubber plantations in China's Xishuangbanna region based on multitemporal Landsat images ( acquired in 1989, 2000, and 2013) using a C5.0-based decision-tree method. A practical and semiautomatic data processing procedure for mapping rubber plantations was proposed. Especially, haze removal and desha-dowing were proposed to perform atmospheric and topographic correction and reduce the effects of haze, shadow, and terrain. Our results showed that the atmospheric and topographic correction could improve the extraction accuracy of rubber plantations, especially in mountainous areas. The overall classification accuracies were 84.2%, 83.9%, and 86.5% for the Landsat images acquired in 1989, 2000, and 2013, respectively. This study also found that the Landsat-8 images could provide significant improvement in the ability to identify rubber plantations. The extracted maps showed the selected study area underwent rapid conversion of natural and seminatural forest to a rubber plantations from 1989 to 2013. The rubber plantation area increased from 2.8% in 1989 to 17.8% in 2013, while the forest/woodland area decreased from 75.6% in 1989 to 44.8% in 2013. The proposed data processing procedure is a promising approach to mapping the spatial distribution and temporal dynamics of rubber plantations on a regional scale. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, |
| WOS关键词 | TOPOGRAPHIC CORRECTION METHODS ; COVER CLASSIFICATION ACCURACY ; MAPPING TROPICAL FORESTS ; MAINLAND SOUTHEAST-ASIA ; SOUTHWEST CHINA ; INTEGRATING PALSAR ; MOUNTAIN AREAS ; TIME-SERIES ; XISHUANGBANNA ; MODIS |
| 资助项目 | German-Vietnamese WISDOM Project, the Natural Science Foundation of Hainan Province[20164177] ; Hainan Provincial Department of Science and Technology[ZDKJ2016021] ; Natural Science Foundation of China[41201357] ; Natural Science Foundation of China[61132006] |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000401404500001 |
| 出版者 | SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS |
| 资助机构 | German-Vietnamese WISDOM Project, the Natural Science Foundation of Hainan Province ; Hainan Provincial Department of Science and Technology ; Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/64478]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Sun, Zhongchang |
| 作者单位 | 1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R China 2.Key Lab Earth Observat Hainan Prov, Sanya, Peoples R China 3.German Aerosp Ctr, German Remote Sensing Data Ctr, Oberpfaffenhofen, Wessling, Germany 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resource & Environm Informat Syst, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sun, Zhongchang,Leinenkugel, Patrick,Guo, Huadong,et al. Extracting distribution and expansion of rubber plantations from Landsat imagery using the C5.0 decision tree method[J]. JOURNAL OF APPLIED REMOTE SENSING,2017,11:21. |
| APA | Sun, Zhongchang,Leinenkugel, Patrick,Guo, Huadong,Huang, Chong,&Kuenzer, Claudia.(2017).Extracting distribution and expansion of rubber plantations from Landsat imagery using the C5.0 decision tree method.JOURNAL OF APPLIED REMOTE SENSING,11,21. |
| MLA | Sun, Zhongchang,et al."Extracting distribution and expansion of rubber plantations from Landsat imagery using the C5.0 decision tree method".JOURNAL OF APPLIED REMOTE SENSING 11(2017):21. |
入库方式： OAI收割
来源：地理科学与资源研究所
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