Title :
Satellite imagery is used to predict urban sprawl and its impact on surface hydrology
Author_Institution :
Dept. of Meteorol., Pennsylvania State Univ., University Park, PA, USA
Abstract :
Land surface classification and impervious surface cover derived from Landsat TM imagery is coupled with an urban growth model to predict future changes in surface runoff resulting from urbanization. An illustration is presented for a medium-sized watershed, Spring Creek Basin in Centre County, Pennsylvania.
Keywords :
hydrology; image classification; terrain mapping; Centre County; Landsat TM imagery; Pennsylvania; Spring Creek Watershed; USA; impervious surface cover; land surface classification; surface runoff changes; urban growth model; urbanization; Floods; Hydrology; Image analysis; Instruction sets; Land surface; Remote sensing; Satellites; Springs; Storms; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1026300