Monitoring annual dynamics of mature rubber plantations in Xishuangbanna during 1987-2018 using Landsat time series data: A multiple normalization approach
Xiao, Chiwei1,2; Li, Peng1,2,3; Feng, Zhiming1,2
刊名INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
2019-05-01
卷号77页码:30-41
关键词Rubber plantations Normalized difference moisture index (NDMI) Normalized burn Ratio (NBR) Landsat time series (LTS) Xishuangbanna
ISSN号0303-2434
DOI10.1016/j.jag.2018.12.006
通讯作者Li, Peng(lip@igsnrr.ac.cn) ; Feng, Zhiming(fengzm@igsnrr.ac.cn)
英文摘要Accurately monitoring rubber plantations dynamics is essential for assessing eco-environmental effects in soil, hydrology and biodiversity especially in the northern edge of the Asian tropics (e.g. Xishuangbanna, China). In this study, a novel phenology-based multiple normalization approach was firstly proposed to annually map rubber plantations between two critical phenological phase (defoliation and foliation) in Xishuangbanna during 1987-2018. It included three key steps, namely (1) Landsat non-visible bands normalization for calculating the Normalized Difference Moisture Index (NDMI) and Normalized Burn Ratio (NBR), (2) normalization of NDMI and NBR for the Normalized Vegetation Index (NVI), and (3) re-normalization of NVIs for the Re-Normalized Vegetation Index (RNVI). The NVI highlighted the temporal differences of NDMI in land surface moisture content and NBR in soil moisture as well as vegetation survival of rubber plantations during the shifting period of defoliation and foliation. The RNVI fully considered the inverse patterns of the NVIs between defoliation and foliation phase. Rubber plantations were featured by negative NVI and RNVI values within the two temporal windows, while the positive NVI and RNVI values or zero stood for other non-rubber land cover types. The average overall accuracy of five-year mature rubber plantations maps (2010, 2013, 2015, 2016, and 2018) was up to 94.7% with the average kappa coefficient of 0.88, showing the great potential of multiple normalization approach. The total area of rubber plantations increased about 5.9 times from 1987 to 2018, showing clear expansion trends from centralization to scattering in Xishuangbanna as well as continuous spread in Sino-Lao (near Luang Namtha) and Sino-Myanmar (near Mongphak of Shan) border regions on the Chinese side. In addition, annual average analysis showed that about 91.4% of rubber plantations were invariably distributed around Jinghong City and Mengla County in the past decades.
资助项目Strategic Priority Research Program of Chinese Academy of Sciences[XDA20010203] ; International Partnership Program of Chinese Academy of Sciences[131A11KYSB20170117]
WOS关键词RICE PLANTING AREA ; SURFACE REFLECTANCE ; TROPICAL FORESTS ; STAND AGES ; CHINA ; PHENOLOGY ; INDEX ; OLI ; PALSAR ; AMERICA
WOS研究方向Remote Sensing
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000460715900003
资助机构Strategic Priority Research Program of Chinese Academy of Sciences ; International Partnership Program of Chinese Academy of Sciences
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/49289]  
专题中国科学院地理科学与资源研究所
通讯作者Li, Peng; Feng, Zhiming
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 100049, Peoples R China
3.Laos China Joint Res Ctr Resources & Environm, Vientiane Capital 7864, Laos
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Xiao, Chiwei,Li, Peng,Feng, Zhiming. Monitoring annual dynamics of mature rubber plantations in Xishuangbanna during 1987-2018 using Landsat time series data: A multiple normalization approach[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2019,77:30-41.
APA Xiao, Chiwei,Li, Peng,&Feng, Zhiming.(2019).Monitoring annual dynamics of mature rubber plantations in Xishuangbanna during 1987-2018 using Landsat time series data: A multiple normalization approach.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,77,30-41.
MLA Xiao, Chiwei,et al."Monitoring annual dynamics of mature rubber plantations in Xishuangbanna during 1987-2018 using Landsat time series data: A multiple normalization approach".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 77(2019):30-41.
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