文章基本信息

标题：Urban Land Cover and Spatial Variation Observation using Aster and MODIS Satellite Image Data
本地全文：下载
作者：M. Netzband ; W.L. Stefanov
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXV Part B7
页码：1348-1353
出版社：Copernicus Publications
摘要：Land cover and land use changes associated with urbanization are important drivers of local geological, hydrological, ecological, and climatic change. Quantification and monitoring of these changes in 100 global urban centres are part of the mission of the ASTER instrument on board the NASA Terra satellite, and comprise the fundamental research objective of the Urban Environmental Monitoring (UEM) Program at Arizona State University. Data have been acquired for the majority of the target urban centres and are used to compare landscape fragmentation patterns on the basis of land cover classifications at both local and global scales. The primary application of remote sensing data in this study is to provide a means for extrapolating detailed measurements at local sites to a regional context. Specifically, multi-spectral image classification, vegetation indices, and multi-kernel texture analysis are used to identify both natural and built land cover types. This information is combined with ancillary data such as land use using an expert system framework, to obtain final pixel classifications. Because modifications of the urban environment are coupled frequently with modifications of the spatial structure, the investigation of texture and shape parameters, or neighbourhood relations, out of remote sensing data apart from the spectral investigation applied so far represents an additional analysis potential. Thus, a methodological approach using and analyzing landscape metrics is presented and compared with biogeophysical variables obtained from the MODIS sensor for the Phoenix, AZ metropolitan area
关键词：ASTER; landscape metrics; urban analysis; land cover