Regional land cover characterization using multiple sources of intermediate-scale data

J. Vogelmann, S. Howard, T. Sohl
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引用次数: 5

Abstract

Many United States federal agencies need accurate, intermediate scaled, land cover information. While many techniques and approaches have been successfully used to classify land cover in relatively small regions, there are substantial problems in applying these techniques to large multi-scene regions. An evaluation was conducted of the multiple layer land characteristics data base approach for generating large area land cover information. Mosaicked leaves-on Landsat thematic mapper scenes were used in conjunction with leaves-off thematic mapper data, digital elevation (and derived slope, aspect and shaded relief) data, population census information, defense meteorological satellite program "city lights" data, land use and land cover data, digital line graph data, and national wetlands inventory data to derive land cover information. This approach was evaluated for Region III of the United States Environmental Protection Agency (middle Atlantic states).
利用多种来源的中尺度数据进行区域土地覆盖表征
许多美国联邦机构需要准确的、中等比例的土地覆盖信息。虽然许多技术和方法已经成功地用于相对较小区域的土地覆盖分类,但在将这些技术应用于大的多场景区域时存在实质性问题。对多层土地特征数据库生成大面积土地覆盖信息的方法进行了评价。利用镶嵌式落叶Landsat专题成像仪场景,结合落叶专题成像仪数据、数字高程(以及衍生的坡度、坡向和阴影地形)数据、人口普查信息、国防气象卫星计划“城市灯光”数据、土地利用和土地覆盖数据、数字线形图数据和国家湿地清查数据,得出土地覆盖信息。美国环境保护局第三区(大西洋中部各州)对这种方法进行了评价。
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