Performances of WorldView-3, Sentinel-2, and Landsat-8 data in mapping impervious surface

George Z. Xian; Hua Shi; Jon Dewitz; Zhuoting Wu

doi:10.1016/j.rsase.2019.100246

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Performances of WorldView-3, Sentinel-2, and Landsat-8 data in mapping impervious surface

George Z. Xian·Hua Shi·Jon Dewitz·Zhuoting Wu

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Abstract

Many efforts have been made to map developed impervious surface from remotely sensed information in the last two decades. The U.S. Geological Survey (USGS) developed the National Land Cover Database (NLCD) to provide consistent land cover and change products for the Nation since 2001. Percent impervious surface area (ISA), one of the products in NLCD as a continuous field and estimated with Landsat imagery, represents the fraction of human-made impervious area in a 30 m resolution grid. ISA is used to map urban land cover types and extents for the United States. However, it is still a challenge to quantify highly heterogeneous features in many urban areas using remotely sensed data with spatial and spectral resolutions similar to Landsat and to determine the impacts of remotely sensed data characteristics on ISA mapping.

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Remote Sensing Applications: Society and Environment Article

Source-reported bounding extent: 32.58384932565662° to 38.13455657705411° latitude; -122.9150390625° to -96.5478515625° longitude. This indicates report coverage, not an exact sampling location. View area on OpenStreetMap.

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George Z. Xian, Hua Shi, Jon Dewitz, Zhuoting Wu. 2019. Performances of WorldView-3, Sentinel-2, and Landsat-8 data in mapping impervious surface. https://doi.org/10.1016/j.rsase.2019.100246

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