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：2008
卷号：XXXVII-B8
页码：27-34
出版社：Copernicus Publications
摘要：Remote Sensing and GIS techniques are very helpful and useful tools for decision makers. A particularly important application of remote sensing data is the generation of land use and land cover maps. The analysis of land cover changes in the region of Rostock over the period of 1973-2006 was carried out based on the interpretation of satellite imagery from Landsat MSS (1973), Landsat TM (1989), and Landsat ETM+ (1999) and assisted by detailed CORINE 1990/2000 and ATKIS 1999 information on land use. The satellite imagery has been analysed based on an object-oriented image classification approach as an alternative to pixel based classification. Census data are acquired and published in many countries on a more or less regular basis, for instance annually. Data collected are e.g. the number of inhabitants, the birth, mortality, and migration rates. In some cases more detailed information might be available considering settlement and housing activities and others. These data registers are part of the administration processes in municipalities, counties and states. At all administrative levels development strategies and decisions are often based on this data. The data are however not always analysed with spatial information systems nor visualised with spatial mapping technologies. In this research project we try to link official statistical data with the results of remote sensing data and GIS. The hypotheses for our research are as follows:- Remote sensing data and official statistical data are simply different measures to quantify land use/land cover and land use/land cover changes, especially related to settlement activities.- Official statistical data are very often at a more coarse level, remote sensing data may consolidate the official statistics and may show the real spatial distribution of area sealing caused by settlement activities. - Thus a combination will strongly improve decision making and strategic planning at administrative levels
关键词：Remote Sensing; Human Settlement; Land Cover; Land Use; Change Detection; Census Data
