Mapping rubber plantations in Xishuangbanna, southwest China based on the re-normalization of two Landsat-based vegetation-moisture indices and meteorological data

doi:10.1080/10106049.2019.1687592

	Mapping rubber plantations in Xishuangbanna, southwest China based on the re-normalization of two Landsat-based vegetation-moisture indices and meteorological data
	Xiao, Chiwei 2,3; Li, Peng 2,3; Feng, Zhiming 1,2,3; Lin, Yumei 2,3; You, Zhen 1,2,3; Yang, Yanzhao 1,2,3
刊名	GEOCARTO INTERNATIONAL
	2019-11-20
页码	15
关键词	Rubber plantations phenology Landsat Normalized Difference Vegetation Index Normalized Difference Moisture Index Xishuangbanna
ISSN号	1010-6049
DOI	10.1080/10106049.2019.1687592
通讯作者	Feng, Zhiming(fengzm@igsnrr.ac.cn)
英文摘要	Information on where rubber plantations are located and when they were established is essential for understanding changes in the regional carbon cycle, biodiversity, hydrology and ecosystem services. Here, we proposed a simple and modified phenology-based method to map rubber plantations and evaluate the effectiveness of this method in Xishuangbanna in southwest China, the second largest area of natural rubber cultivation. Our phenological algorithm is supported by local meteorological data and involves the re-normalization of two Landsat-8 Operational Land Imager-derived vegetation moisture indices (i.e. the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Moisture Index (NDMI)). We then applied air temperature data (daily records from 1981 to 2015) and periodic in situ observations of rubber plantations (weekly records from 2017 to 2018) to determine the phenological stages of rubber tree growth with the goal of selecting the most effective Landsat images. The re-normalization algorithm was able to highlight the temporal differences in the vegetation canopy and moisture content of rubber plantations, because rubber trees in Xishuangbanna display unique defoliation-foliation signals during the dry season. The resultant map of rubber plantations showed a high overall accuracy of 92.3% and a Kappa coefficient of 0.846. The developed phenological re-normalization method with meteorological data greatly enriches remote sensing-based approaches for mapping rubber plantations.
资助项目	China Postdoctoral Science Foundation[2019M660777] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20010203] ; National Natural Science Foundation of China[41971242] ; Program for BINGWEI Excellent Young Talents of Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences[2018RC201]
WOS关键词	RICE PLANTING AREA ; TIME-SERIES DATA ; INTEGRATING PALSAR ; TROPICAL FORESTS ; STAND AGES ; PHENOLOGY ; OLI ; ALGORITHM ; TEMPERATURE ; DYNAMICS
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000497632700001
资助机构	China Postdoctoral Science Foundation ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China ; Program for BINGWEI Excellent Young Talents of Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/130306]
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.Minist Nat Resources, Key Lab Carrying Capac Assessment Resource & Envi, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Xiao, Chiwei,Li, Peng,Feng, Zhiming,et al. Mapping rubber plantations in Xishuangbanna, southwest China based on the re-normalization of two Landsat-based vegetation-moisture indices and meteorological data[J]. GEOCARTO INTERNATIONAL,2019:15.
APA	Xiao, Chiwei,Li, Peng,Feng, Zhiming,Lin, Yumei,You, Zhen,&Yang, Yanzhao.(2019).Mapping rubber plantations in Xishuangbanna, southwest China based on the re-normalization of two Landsat-based vegetation-moisture indices and meteorological data.GEOCARTO INTERNATIONAL,15.
MLA	Xiao, Chiwei,et al."Mapping rubber plantations in Xishuangbanna, southwest China based on the re-normalization of two Landsat-based vegetation-moisture indices and meteorological data".GEOCARTO INTERNATIONAL (2019):15.