Quantifying spatial-temporal changes of tea plantations in complex landscapes through integrative analyses of optical and microwave imagery

doi:10.1016/j.jag.2018.08.010

CORC > 兰州理工大学 > 兰州理工大学 > 土木工程学院

	Quantifying spatial-temporal changes of tea plantations in complex landscapes through integrative analyses of optical and microwave imagery
	Xu, Weiheng 4,5; Qin, Yuanwei 4; Xiao, Xiangming 3,4; Di, Guangzhi 4,5; Doughty, Russell B.4; Zhou, Yuting 4; Zou, Zhenhua 4; Kong, Lei 2; Niu, Quanfu 1,4; Kou, Weili 5
刊名	INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
	2018-12-01
卷号	73 页码:697-711
关键词	Tea plantation Support vector machine Landsat PALSAR Tropical zone
ISSN号	0303-2434
DOI	10.1016/j.jag.2018.08.010
英文摘要	High demand for tea has driven the expansion of tea plantations in the tropical and subtropical regions over the past few decades. Tea plant cultivation promotes economic development and creates job opportunities, but tea plantation expansion has significant impacts on biodiversity, carbon and water cycles, and ecosystem services. Mapping the spatial distribution and extent of tea plantations in a timely fashion is crucial for land use management and policy making. In this study, we mapped tea plantation expansion in Menghai County, Yunnan Province, China. We analyzed the structure and features of major land cover types in this tropical and subtropical region using (1) the HH and HV gamma-naught imagery from the Advanced Land Observation Satellite (ALOS) Phased Array L-band Synthetic Aperture Radar (PALSAR) and (2) time series Landsat TM/ETM + /OLT imagery. Tea plantation maps for 2010 and 2015 were generated using the pixel-based support vector machine (SVM) approach at 30 m resolution, which had high user/producer accuracies of 83.58%/91.67% and 87.50%/90.83%, respectively. The resultant maps show that tea plantation area increased by 33.56% (similar to 9335 ha), from similar to 27,817 ha in 2010 to similar to 37,152 ha in 2015. The additional tea plantation area was mainly converted from forest (32.50%) and cropland (67.50%). The results showed that the combination of PALSAR and optical data performed better in tea plantation mapping than using optical data only. This study provides a promising new approach to identify and map tea plantations in complex tropical landscapes at high spatial resolution.
WOS研究方向	Remote Sensing
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000446291100059
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/155369]
专题	土木工程学院
作者单位	1.Lanzhou Univ Technol, Sch Civil Engn, Lanzhou 730050, Gansu, Peoples R China 2.China Forest Explorat & Design Inst Kunming, Kunming 650216, Yunnan, Peoples R China; 3.Fudan Univ, Inst Biodivers Sci, Key Lab Biodivers Sci & Ecol Engn, Minist Educ, Shanghai 200433, Peoples R China; 4.Univ Oklahoma, Ctr Spatial Anal, Dept Microbiol & Plant Biol, Norman, OK 73019 USA; 5.Southwest Forestry Univ, Coll Big Data & Intelligence Engn, Kunming 650224, Yunnan, Peoples R China;
推荐引用方式 GB/T 7714	Xu, Weiheng,Qin, Yuanwei,Xiao, Xiangming,et al. Quantifying spatial-temporal changes of tea plantations in complex landscapes through integrative analyses of optical and microwave imagery[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2018,73:697-711.
APA	Xu, Weiheng.,Qin, Yuanwei.,Xiao, Xiangming.,Di, Guangzhi.,Doughty, Russell B..,...&Kou, Weili.(2018).Quantifying spatial-temporal changes of tea plantations in complex landscapes through integrative analyses of optical and microwave imagery.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,73,697-711.
MLA	Xu, Weiheng,et al."Quantifying spatial-temporal changes of tea plantations in complex landscapes through integrative analyses of optical and microwave imagery".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 73(2018):697-711.