Mapping vegetation functional types in urban areas with WorldView-2 imagery: Integrating object-based classification with phenology

CORC > 生态环境研究中心 > 中国科学院生态环境研究中心 > 城市与区域生态国家重点实验室

	Mapping vegetation functional types in urban areas with WorldView-2 imagery: Integrating object-based classification with phenology
	Han, Lijian; Yan, Jingli; Zhou, Weiqi; Qian, Yuguo
刊名	URBAN FORESTRY & URBAN GREENING
	2018-04-01
卷号	31 页码:230-240
关键词	Urban land cover Vegetation phenology Vegetation functional type WorldView-2 imagery Multi-seasonal images
ISSN号	1618-8667
文献子类	Article
英文摘要	Mapping urban vegetation is a prerequisite to accurately understanding landscape patterns and ecological services provided by urban vegetation. However, the uncertainties in fine-scale vegetation biodiversity mapping still exist in capturing vegetation functional types efficiently at fine scale. To facilitate the application of fine-scale vegetation spatial configuration used for urban landscape planning and ecosystem service valuation, we present an approach integrating object-based classification with vegetation phenology for fine-scale vegetation functional type mapping in compact city of Beijing, China. The phenological information derived from two WorldView-2 imagery scenes, acquired on 14 September 2012 and 26 November 2012, was used to aid in the classification of tree functional types and grass. Then we further compared the approach to that of using only one WorldView imagery. We found WorldView-2 imagery can be successfully applied to map functional types of urban vegetation with its high spatial resolution and relatively high spectral resolution. The application of the vegetation phenology into classification greatly improved the overall accuracy of classification from 82.3% to 91.1%. In particular, the accuracies of vegetation types was improved by from 10% to 13.26%. The approach integrating vegetation phenology with high-resolution remote sensed images provides an efficient tool to incorporate multi-temporal data into fine-scale urban classification.
内容类型	期刊论文
源URL	[http://ir.rcees.ac.cn/handle/311016/40607]
专题	生态环境研究中心_城市与区域生态国家重点实验室
推荐引用方式 GB/T 7714	Han, Lijian,Yan, Jingli,Zhou, Weiqi,et al. Mapping vegetation functional types in urban areas with WorldView-2 imagery: Integrating object-based classification with phenology[J]. URBAN FORESTRY & URBAN GREENING,2018,31:230-240.
APA	Han, Lijian,Yan, Jingli,Zhou, Weiqi,&Qian, Yuguo.(2018).Mapping vegetation functional types in urban areas with WorldView-2 imagery: Integrating object-based classification with phenology.URBAN FORESTRY & URBAN GREENING,31,230-240.
MLA	Han, Lijian,et al."Mapping vegetation functional types in urban areas with WorldView-2 imagery: Integrating object-based classification with phenology".URBAN FORESTRY & URBAN GREENING 31(2018):230-240.