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Sentinel-2 red-edge spectral indices (RESI) suitability for mapping rubber boom in Luang Namtha Province, northern Lao PDR

文献类型：期刊论文

作者Xiao, Chiwei2,3,5; Li, Peng2,3,5; Feng, Zhiming2,4,5; Liu, Yiyuan1; Zhang, Xianzhou2,5
刊名INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
出版日期2020-12-01
卷号93页码:11
关键词Rubber plantations Sentinel-2 Red-edge spectral indices (RESI) Phenology Northern Laos
ISSN号1569-8432
DOI10.1016/j.jag.2020.102176
通讯作者Feng, Zhiming(fengzm@igsnrr.ac.cn)
英文摘要Rubber (Hevea brasiliensis) tree cultivation is being continuously expanded northward by replacing evergreen forests and swidden-related regenerated vegetation across the uplands of mainland Southeast Asia (MSEA), e.g., Laos, a landlocked mountainous country. The non-native tree establishment in the northern tropical edge, or the non-traditional suitable planting area, provides stable supplies of natural latex, yet also leads to severe ecological degradation and environmental effects in water conservation, soil quality, rainforest fragmentation and biodiversity. Rubber plantations in the northern part of MSEA are normally characterized by periodic deciduous during the dry season, along with a lengthy defoliation-foliation duration, because of seasonal variations in temperature and precipitation. It thus lays a phenological and physiological base for dynamics monitoring with common multispectral (e.g., near-infrared and short-wave infrared bands) satellites, particularly Landsat. However, whether Sentinel-2 red-edge based algorithms are suitable for discriminating rubber plantations is not yet exclusively reported. Here, we developed a red-edge spectral indices (RESI) method through the normalization of three red-edge bands and applied it to identify and map rubber plantations in Luang Namtha Province of northern Laos, where a rubber boom begun in the mid-2000s. The RESI algorithm highlights the sensitivity of red-edge bands to the changes in moisture content and canopy density of rubber plantations. The area of mature rubber plantations was estimated to be 771.2 km(2) in this province bordering southwest China in 2018, which was nearly twice as much as that of 2011, with the overall accuracy and kappa coefficient up to 92.50% and 0.91, respectively. Our phenology-based RESI approach not only indicates that Sentinel-2 imagery holds significant potential for monitoring rubber plantations, but also improves the remotely-sensed methods of rubber boom mapping via introducing the red-edge channel.
WOS关键词MAINLAND SOUTHEAST-ASIA ; HEVEA-BRASILIENSIS PLANTATIONS ; TIME-SERIES DATA ; LEAF-AREA INDEX ; VEGETATION INDEXES ; BOREAL FOREST ; LANDSAT-8 OLI ; TREE GROWTH ; STAND AGES ; XISHUANGBANNA
资助项目China Postdoctoral Science Foundation[2019M660777] ; National Natural Science Foundation of China[41971242] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20010203] ; BINGWEI Excellent Young Talents of Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences[2018RC201] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences[2020055]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000591913700007
出版者ELSEVIER
资助机构China Postdoctoral Science Foundation ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; BINGWEI Excellent Young Talents of Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/156691]  
专题中国科学院地理科学与资源研究所
通讯作者Feng, Zhiming
作者单位1.Jiangxi Normal Univ, Key Lab Poyang Lake Wetland & Watershed Res, Minist Educ, Nanchang 330022, Jiangxi, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Laos China Joint Res Ctr Resources & Environm, Vientiane Capital 7864, Laos
4.Minist Land & Resources, Key Lab Carrying Capac Assessment Resource & Envi, Beijing 101149, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Xiao, Chiwei,Li, Peng,Feng, Zhiming,et al. Sentinel-2 red-edge spectral indices (RESI) suitability for mapping rubber boom in Luang Namtha Province, northern Lao PDR[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2020,93:11.
APA Xiao, Chiwei,Li, Peng,Feng, Zhiming,Liu, Yiyuan,&Zhang, Xianzhou.(2020).Sentinel-2 red-edge spectral indices (RESI) suitability for mapping rubber boom in Luang Namtha Province, northern Lao PDR.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,93,11.
MLA Xiao, Chiwei,et al."Sentinel-2 red-edge spectral indices (RESI) suitability for mapping rubber boom in Luang Namtha Province, northern Lao PDR".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 93(2020):11.

入库方式： OAI收割

来源：地理科学与资源研究所

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