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Extracting distribution and expansion of rubber plantations from Landsat imagery using the C5.0 decision tree method
Sun, Zhongchang1,2; Leinenkugel, Patrick3; Guo, Huadong1; Huang, Chong4; Kuenzer, Claudia3
2017-05-02
Source PublicationJOURNAL OF APPLIED REMOTE SENSING
ISSN1931-3195
Volume11Pages:21
Corresponding AuthorSun, Zhongchang(sunzc@radi.ac.cn)
AbstractNatural 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,
Keywordrubber plantation C5.0 classification dynamic change analysis Landsat
DOI10.1117/1.JRS.11.026011
WOS KeywordTOPOGRAPHIC CORRECTION METHODS ; COVER CLASSIFICATION ACCURACY ; MAPPING TROPICAL FORESTS ; MAINLAND SOUTHEAST-ASIA ; SOUTHWEST CHINA ; INTEGRATING PALSAR ; MOUNTAIN AREAS ; TIME-SERIES ; XISHUANGBANNA ; MODIS
Indexed BySCI
Language英语
Funding ProjectGerman-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]
Funding OrganizationGerman-Vietnamese WISDOM Project, the Natural Science Foundation of Hainan Province ; Hainan Provincial Department of Science and Technology ; Natural Science Foundation of China
WOS Research AreaEnvironmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000401404500001
PublisherSPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/64479
Collection中国科学院地理科学与资源研究所
Corresponding AuthorSun, Zhongchang
Affiliation1.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
Recommended Citation
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.
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