Record Display for the EPA National Library Catalog

RECORD NUMBER: 158 OF 249

OLS Field Name OLS Field Data
Main Title Investigation of Remote Sensing Techniques for Agricultural Feedlot Pollution Detection.
Author Schmer, Fred A. ; Ryland, Dennis W. ; Waltz, Fred A. ;
CORP Author South Dakota State Univ., Brookings. Remote Sensing Inst.;Environmental Protection Agency, Washington, DC.
Year Published 1973
Report Number SDSU-RSI-72-14; EPA-16020-FPH; EPA/670/4-73/002;
Stock Number PB-286 566
Additional Subjects Agricultural wastes ; Livestock ; Remote sensing ; Water pollution ; Monitoring ; Cattle ; James River ; Aerial photography ; Infrared mapping ; Water quality ; Analysis of variance ; Regression analysis ; Weather ; Color photography ; Runoff ; Aerial photographs ; South Dakota ; Utility aircraft ; Feedlot wastes ; Redfield(South Dakota)
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB-286 566 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 06/23/1988
Collation 178p
Abstract
This research effort was directed toward the application of remote sensing techniques to the detection and monitoring of pollution from cattle feeding operations. Five livestock feeding operations were selected for the study along the James River from Huron to Redfield, South Dakota. Thirteen aerial missions were flown from January 1, 1971 through June 30, 1972, providing aerial photography and thermal infrared data under various weather conditions. Water samples were collected during nine of the aerial flights at fourteen river locations. Water samples were collected a minimum of every three weeks on a regular schedule to allow independent analysis of the water quality data. Data analysis consisted of visual interpretation of aerial photography and statistical analysis of film densities and water quality parameters. Film densities were read at the location of the fourteen water sampling sites and correlated with the water quality parameters. Analysis of variance and linear regression techniques were also utilized. Results indicated that remote sensing techniques utilizing low and high altitude aircraft photography can be used to locate potential feedlot pollution sources.