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Is the phenology-based algorithm for mapping deciduous rubber plantations applicable in an emerging region of northern Laos?

文献类型：期刊论文

作者Xiao, Chiwei1,2,3; Li, Peng1,2,4; Feng, Zhiming1,2,3; You, Zhen1,2; Jiang, Luguang1,2; Boudmyxay, Khampheng1,2,4
刊名ADVANCES IN SPACE RESEARCH
出版日期2020
卷号65期号:1页码:446-457
关键词Deciduous rubber plantations Normalized Burn Ratio Phenology Atri-temporal windows method Landsat OLI Northern Laos
ISSN号0273-1177
DOI10.1016/j.asr.2019.09.022
通讯作者Li, Peng(lip@igsnrr.ac.cn)
英文摘要Updated information of rubber plantations is essential for assessing socioeconomic and environmental impacts, especially in the emerging region of northern tropics. Here, a phenological method was modified to detect rubber plantations using Landsat Operational Land Imager (OLI) imagery in Phongsaly Province of northern Laos, where it begun a rubber boom in the mid-2000s due to geoeconomic cooperation. It highlighted the landscape and pixel differences of deciduous rubber plantations in the tri-temporal phases (i.e., pre-defoliation, defoliation, and foliation) during the dry season due to phenological changes. Six commonly used vegetation indices (VIs), including the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Water Index (LSWI), Atmospherically Resistant Vegetation Index (ARVI), Normalized Burn Ratio (NBR and NBR2) derived from OLI imagery during 2013-2016 were compared to determine the most suitable VI for discriminating the phenological differences of rubber plantations from natural forests. Then, the Differences of Normalized Burn Ratio (DNBR) was applied to generate the 30 m map of rubber plantations in 2016, by combining two masks of Landsat-derived forest and suitable elevation for rubber trees cultivation. The resultant map of rubber plantations had a classification accuracy of 93.7% and the Kappa coefficient of 0.848. Our study demonstrated the usefulness of the Landsat-derived tri-temporal phenological DNBR approach in an emerging region of northern Laos, despite requiring more scenes compared with single- and double temporal window methods. (C) 2019 COSPAR. Published by Elsevier Ltd. All rights reserved.
WOS关键词MAINLAND SOUTHEAST-ASIA ; TIME-SERIES DATA ; LANDSAT-8 OLI ; STAND AGES ; XISHUANGBANNA ; CHINA ; EXPANSION ; PALSAR ; INDEX ; FORESTS
资助项目National Natural Science Foundation of China[41971242] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20010201] ; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences[2018RC201]
WOS研究方向Engineering ; Astronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000509784600036
出版者ELSEVIER SCI LTD
资助机构National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/132254]  
专题中国科学院地理科学与资源研究所
通讯作者Li, Peng
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100101, Peoples R China
3.Minist Nat Resources, Key Lab Carrying Capac Assessment Resource & Envi, Beijing 101149, Peoples R China
4.Laos China Joint Res Ctr Resources & Environm, Vientiane Capital 7864, Laos
推荐引用方式
GB/T 7714		 Xiao, Chiwei,Li, Peng,Feng, Zhiming,et al. Is the phenology-based algorithm for mapping deciduous rubber plantations applicable in an emerging region of northern Laos?[J]. ADVANCES IN SPACE RESEARCH,2020,65(1):446-457.
APA Xiao, Chiwei,Li, Peng,Feng, Zhiming,You, Zhen,Jiang, Luguang,&Boudmyxay, Khampheng.(2020).Is the phenology-based algorithm for mapping deciduous rubber plantations applicable in an emerging region of northern Laos?.ADVANCES IN SPACE RESEARCH,65(1),446-457.
MLA Xiao, Chiwei,et al."Is the phenology-based algorithm for mapping deciduous rubber plantations applicable in an emerging region of northern Laos?".ADVANCES IN SPACE RESEARCH 65.1(2020):446-457.

入库方式： OAI收割

来源：地理科学与资源研究所

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