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An Automated GIS Procedure for Delineating River and Lake Boundaries
Author(s) -
Merwade Venkatesh M
Publication year - 2007
Publication title -
transactions in gis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.721
H-Index - 63
eISSN - 1467-9671
pISSN - 1361-1682
DOI - 10.1111/j.1467-9671.2007.01042.x
Subject(s) - scale (ratio) , digitization , channel (broadcasting) , aerial photography , boundary (topology) , remote sensing , geographic information system , aerial photos , cartography , aerial imagery , hydrology (agriculture) , topographic map (neuroanatomy) , geology , geography , computer science , computer vision , computer network , mathematical analysis , mathematics , geotechnical engineering , psychology , cognitive psychology , posterior parietal cortex
Digitization of river and lake boundaries is an essential task in several hydrologic studies, which, in most cases, is performed manually by using aerial photographs. This paper presents an automatic geographic information system (GIS) procedure for delineating river and lake boundaries using aerial photographs. The GIS procedure is based on supervised classification of aerial photographs by using the National Hydrography Dataset (NHD) for creating training areas. Four study areas – Lake Palestine in Texas, Brazos River in Texas, Neuse River in North Carolina, and Snake River in Idaho – are used to demonstrate the approach. The results from the automatic boundary delineation process are evaluated by comparing them to manually digitized boundaries. The boundaries delineated by the automatic procedure matched the manually digitized boundaries with an overall difference of less than five percent in terms of area measurement. Besides saving about 85 percent of manual labor, the GIS procedure provides a consistent way of delineating water bodies, and provides estimation of river channel widths, which, in conjunction with existing NHD data, can be used to estimate average flow depths. Supplementing the regional scale NHD data with local scale attributes such as channel width and depth may lead to increased use of NHD in local scale studies.