Impervious surface area (ISA) is an important parameter related to environmental change and socioeconomic conditions, and has been given increasing attention in the past two decades. However, mapping ISA using remote sensing data is still a challenge due to the variety and complexity of materials comprising ISA and the limitations of remote sensing data spectral and spatial resolution. This paper examines ISA mapping with Landsat Thematic Mapper (TM) images in urban and urban–rural landscapes in the Brazilian Amazon. A fractional-based method and a per-pixel based method were used to map ISA distribution, and their results were evaluated with QuickBird images based on the 2010 Brazilian census at the sector scale of analysis for examining the mapping performance. This research showed that the fraction-based method improved the ISA estimation, especially in urban–rural frontiers and in a landscape with a small urban extent. Large errors were mainly located at the sites having ISA proportions of 0.2–0.4 in a census sector. Calibration with high spatial resolution data is valuable for improving Landsat-based ISA estimates.

中文翻译：

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使用 Landsat Imagery 绘制巴西亚马逊地区的不透水表面积

不透水表面积 (ISA) 是与环境变化和社会经济条件相关的重要参数，在过去的 20 年中受到越来越多的关注。然而，由于包含 ISA 的材料的多样性和复杂性以及遥感数据光谱和空间分辨率的限制，使用遥感数据绘制 ISA 仍然是一个挑战。本文研究了在巴西亚马逊地区的城市和城乡景观中使用 Landsat Thematic Mapper (TM) 图像进行的 ISA 制图。使用基于分数的方法和基于每像素的方法来绘制 ISA 分布图，并使用基于 2010 年巴西人口普查的 QuickBird 图像评估它们的结果，以检查制图性能的分析部门尺度。这项研究表明，基于分数的方法改进了 ISA 估计，特别是在城乡边界和城市范围较小的景观中。大错误主要位于普查部门中 ISA 比例为 0.2-0.4 的地点。使用高空间分辨率数据进行校准对于改进基于 Landsat 的 ISA 估计很有价值。