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首页> 外文期刊>Landscape and Urban Planning >An evaluation of VEGETATION-1 imagery for broad-scale landscape mapping of Russia: effects of resolution on landscape pattern
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An evaluation of VEGETATION-1 imagery for broad-scale landscape mapping of Russia: effects of resolution on landscape pattern

机译：VEGETATION-1影像在俄罗斯的大型景观地图评估：分辨率对景观格局的影响

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摘要

The problem of efficient use of multi-scale data for land-cover and landscape mapping has already attracted considerable attention in landscape ecology and some other disciplines. Over the last few decades, however, with the development of satellite remote sensing techniques, the questions of efficient planetary and macro-regional ecological mapping and modeling and integration of multi-scale data have become especially pertinent. The purpose of this study is to test the suitability of the coarse-resolution VEGETATION/SPOT imagery for landscape mapping. Effects of changing spatial resolution on land-cover proportion estimates were examined in 16 different landscapes using spatially degraded high-resolution imagery from the Russian satellite, RESURS-F. Comparison of simulated coarse-resolution data and original images and ancillary data for sites with different landscape patterns, showed strong scale dependence of the landscape characteristics (land-cover proportion, fragmentation, patchiness) in different case study areas, such as sub-boreal forest, sub-urban areas, and an agricultural region in the steppe zone.
机译：有效地将多尺度数据用于土地覆盖和景观制图的问题已经在景观生态学和其他学科中引起了相当大的关注。然而，在过去的几十年中，随着卫星遥感技术的发展，有效的行星和宏观区域生态图以及建模和集成多尺度数据的问题变得尤为重要。这项研究的目的是测试粗糙分辨率的VEGETATION / SPOT影像是否适合景观制图。使用来自俄罗斯卫星RESURS-F的空间退化的高分辨率图像，研究了16种不同景观中空间分辨率变化对土地覆盖比例估计的影响。对具有不同景观模式的地点的模拟粗分辨率数据与原始图像和辅助数据进行比较，发现在不同的案例研究区域（例如，北方森林）中，景观特征（土地覆盖率，破碎度，斑块性）具有很大的比例依赖性。 ，郊区和草原地区的农业地区。

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