Record Display for the EPA National Library Catalog

RECORD NUMBER: 2 OF 10

OLS Field Name OLS Field Data
Main Title Classification of High Spatial Resolution, Hyperspectral Remote Sensing Imagery of the Little Miami River Watershed in Southwest Ohio, USA.
Author Troyer, M. E. ; Heo, J. ; Ripley, H. ;
CORP Author Environmental Protection Agency, Cincinnati, OH. National Center for Environmental Assessment.
Publisher Apr 2006
Year Published 2006
Report Number NCEA-C-1698;
Stock Number PB2007-102086
Additional Subjects Watershed ; Little Miami River (Ohio) ; LULC data set ; Spatial resolution ; Image processing ; Landsat imagery ; Hyperspectral imagery ; Land use ; Land cover type ; Classification ; Land use/ land cover (LULC) data set
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB2007-102086 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 05/28/2007
Collation 66p
Abstract
The goal of this project was to create a higher spatial resolution land use/land cover (LULC) dataset for the entire Little Miami River watershed in southeast Ohio for a number of studies being conducted by the U.S. Environmental Protection Agency (U.S. EPA). The Little Miami River has a drainage area of 175.5 square miles and stretches in a southwesterly direction for 105.5 miles originating from near South Charleston, Ohio to its confluence with the Ohio River east of Cincinnati, Ohio. It is one of the oldest river groups in the state and became Ohio's first State and National Scenic River (Sanders, 2002). Prior to this project, existing LULC datasets based on Landsat imagery had spatial resolutions of 30 to 60 meters. Hyperspectral Data International (HDI) collected 4 meter spatial resolution, hyperspectral imagery of the watershed from July 24 through August 9, 2002. Forest One Incorporated (Earth Satellite Corporation) subsequently classified the resulting 82 flight-lines of Compact Airborne Spectrographic Imager (CASI) data into the 11 classes of land cover type presented here.