An approach for mapping large-area impervious surfaces: synergistic use of Landsat-7 ETM+ and high spatial resolution imagery
An approach for mapping large-area impervious surfaces: synergistic use of Landsat-7 ETM+ and high spatial resolution imagery
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DOI：
10.5589/m02-098
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发表时间：
2003-01
影响因子：
2.6
通讯作者：
Limin Yang;Chengquan Huang;C. Homer;B. Wylie;M. Coan
中科院分区：
文献类型：
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作者：
Limin Yang;Chengquan Huang;C. Homer;B. Wylie;M. Coan
广泛的城市生态系统研究，包括城市水文、城市气候、土地利用规划和资源管理，需要城市不透水表面的最新和准确的地理空间数据。我们开发了一种方法，通过使用多传感器和多源数据集，将城市不透水表面量化为连续变量。使用回归树模型绘制了30米分辨率的亚像素百分比不透水表面。在三个空间尺度上（苏福尔斯、南达科他州、里士满、弗吉尼亚州和美国切萨皮克湾地区）测试了所提出的大面积不透水测绘方法的实用性、实用性和可负担性。预测不透水面百分比与实际不透水面百分比的平均误差范围为8.8 ~ 11.4%，相关系数为0.82 ~ 0.91。该方法被用于绘制整个美国的不透水地表图，作为2000年左右国家土地覆盖数据库的主要组成部分之一。
A wide range of urban ecosystem studies, including urban hydrology, urban climate, land use planning, and resource management, require current and accurate geospatial data of urban impervious surfaces. We developed an approach to quantify urban impervious surfaces as a continuous variable by using multisensor and multisource datasets. Subpixel percent impervious surfaces at 30-m resolution were mapped using a regression tree model. The utility, practicality, and affordability of the proposed method for large-area imperviousness mapping were tested over three spatial scales (Sioux Falls, South Dakota, Richmond, Virginia, and the Chesapeake Bay areas of the United States). Average error of predicted versus actual percent impervious surface ranged from 8.8 to 11.4%, with correlation coefficients from 0.82 to 0.91. The approach is being implemented to map impervious surfaces for the entire United States as one of the major components of the circa 2000 national land cover database.