全球智库信息集成服务系统(G2TT): Classification of Local Climate Zones Using SAR and Multispectral Data in an Arid Environment.

G2TT

来源类型	Article
规范类型	其他
DOI	10.1109/JSTARS.2016.2531420
	Classification of Local Climate Zones Using SAR and Multispectral Data in an Arid Environment.
	Bechtel B; See L; Mills G; Foley M
发表日期	2016
出处	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9 (7): 3097-3105
出版年	2016
语种	英语
摘要	There is an urgent need for more detailed spatial information on cities globally that has been acquired using a standard method to facilitate comparison and the transfer of scientific and practical knowledge between places. As part of the world urban database and access portal tools (WUDAPT) initiative, a simple workflow has been developed to perform this task. Using freely available satellite imagery (Landsat) and software (SAGA), WUDAPT characterizes settlements using the local climate zone (LCZ) scheme, which decomposes the city into distinctive neighborhoods (>1 km2) based on typical properties (e.g., green proportion and built fraction). In this paper, the methodology is extended to examine the effect of adding synthetic aperture radar (SAR) data, which is now freely available from Sentinel 1, for generating LCZs. Using the city of Khartoum as a case study, the results show that combining multispectral and SAR data improves the overall performance of several classifiers, with random forest (RF) performing the best overall.
主题	Ecosystems Services and Management (ESM)
关键词	urban areas, Multisensor systems, remote sensing, satellite applications, synthetic aperture radar
URL	http://pure.iiasa.ac.at/id/eprint/13945/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/130792
推荐引用方式 GB/T 7714	Bechtel B,See L,Mills G,et al. Classification of Local Climate Zones Using SAR and Multispectral Data in an Arid Environment.. 2016.