{"title":"海岸带变化分析项目:绘制海岸带变化图,监测海岸带变化趋势","authors":"S. Burkhalter, N. Herold, C. Robinson","doi":"10.1109/AMTRSI.2005.1469874","DOIUrl":null,"url":null,"abstract":"National Oceanic and Atmospheric Administration’s Coastal-Change Analysis Program (C-CAP) develops land cover data for the coastal zone of the U.S. An immediate objective for C-CAP is to expeditiously complete a national standard of land cover and land cover change data, to which additional eras of imagery will be used to track coastal changes through time. This paper highlights techniques for mapping and interpreting multiple eras of land cover within a study area. Recent era Landsat Enhanced Thematic Mapper and retrospective Landsat Multi Spectral Scanner imagery were analyzed in conjunction with the existing C-CAP land cover and corresponding Landsat Thematic Mapper imagery. Spectral differencing change analysis techniques identified areas that have changed from era to era. Spectral clustering for each era of Landsat imagery derived land cover labels for the areas of change. The change areas were then applied to the C-CAP land cover maps to produce a full land cover product for each era in the study. Trends highlighted in this study were related to increased development within existing urban boundaries, the spread of residential development in the suburbs, and loss of forest cover in rural areas. The data sources, interpretation techniques, and change analysis methodology described in this paper could be employed to produce land cover, and trend data products in most regions that have existing land cover data, and is envisioned as a component of a continued CCAP land cover change and trend mapping strategy.","PeriodicalId":302923,"journal":{"name":"International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"The coastal change analysis program: mapping change and monitoring change trends in the coastal zone\",\"authors\":\"S. Burkhalter, N. Herold, C. 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引用次数: 5
摘要
美国国家海洋和大气管理局的海岸变化分析计划(C-CAP)开发了美国沿海地区的土地覆盖数据。C-CAP的直接目标是迅速完成土地覆盖和土地覆盖变化数据的国家标准,并使用额外的时代图像来跟踪沿海地区的变化。本文重点介绍了在研究区域内绘制和解释多个时期土地覆盖的技术。结合现有的C-CAP土地覆盖和相应的Landsat Thematic Mapper图像,分析了近年Landsat Enhanced Thematic Mapper图像和Landsat Multi Spectral Scanner回顾性图像。光谱差异变化分析技术确定了各个时代变化的区域。对每个时代的陆地卫星图像进行光谱聚类,得出变化区域的土地覆盖标签。然后将变化区域应用于C-CAP土地覆盖图,以生成研究中每个时代的完整土地覆盖产品。这项研究强调的趋势与现有城市边界内的发展增加、郊区住宅发展的蔓延以及农村地区森林覆盖的丧失有关。本文所描述的数据源、解释技术和变化分析方法可用于在大多数拥有现有土地覆盖数据的地区生产土地覆盖和趋势数据产品,并被设想为持续的CCAP土地覆盖变化和趋势制图策略的组成部分。
The coastal change analysis program: mapping change and monitoring change trends in the coastal zone
National Oceanic and Atmospheric Administration’s Coastal-Change Analysis Program (C-CAP) develops land cover data for the coastal zone of the U.S. An immediate objective for C-CAP is to expeditiously complete a national standard of land cover and land cover change data, to which additional eras of imagery will be used to track coastal changes through time. This paper highlights techniques for mapping and interpreting multiple eras of land cover within a study area. Recent era Landsat Enhanced Thematic Mapper and retrospective Landsat Multi Spectral Scanner imagery were analyzed in conjunction with the existing C-CAP land cover and corresponding Landsat Thematic Mapper imagery. Spectral differencing change analysis techniques identified areas that have changed from era to era. Spectral clustering for each era of Landsat imagery derived land cover labels for the areas of change. The change areas were then applied to the C-CAP land cover maps to produce a full land cover product for each era in the study. Trends highlighted in this study were related to increased development within existing urban boundaries, the spread of residential development in the suburbs, and loss of forest cover in rural areas. The data sources, interpretation techniques, and change analysis methodology described in this paper could be employed to produce land cover, and trend data products in most regions that have existing land cover data, and is envisioned as a component of a continued CCAP land cover change and trend mapping strategy.