Evaluation of Impervious Surface Estimates in a Rapidly Urbanizing Watershed
作者： Mark Dougherty , Randel L. Dymond , Scott J. Goetz , Claire A. Jantz , Normand Goulet
关键词: Land-use planning 、 Impervious surface 、 Land use 、 Aerial photography 、 Satellite imagery 、 Geography 、 Land cover 、 Watershed 、 Plant cover 、 Hydrology
摘要: Accurate measurement of impervious surface (IS) cover is an essential indicator downstream water quality and a critical input variable for many quantity models. This study compares IS estimates from recently developed satellite imagery/land approach with more traditional aerial photography/land use approach. Both approaches are evaluated against high-quality validation set consisting planimetric data merged manually-delineated areas soil disturbance. The area the rapidly urbanizing 127 km 2 Cub Run watershed in northern Virginia, located on fringe Washington, D.C. metropolitan region. Results show that photo-interpreted land class higher than satellite-derived by 100 percent or more, even uses conservatively assigned high values. Satellite-derived correlate well reference (r � 0.95) published ranges similar sites Basin-wide mean values, difference grids, regression density plots validate satellite-derived/land cover-based over photo-interpreted/land use-based estimates. this site-specific support automated, planning management within watersheds where GIS system place, but time-sensitive, unavailable.
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