Record Display for the EPA National Library Catalog


Main Title Trophic classification of selected Illinois water bodies : lake classification through amalgamation of LANDSAT multispectral scanner and contact-sensed data /
Author Boland, D. H. P. ; Schaeffer, David J. ; Sefton, Donna F. ; Clarke, Robert P. ; Blackwell, Richard J.
Other Authors
Author Title of a Work
Boland, Dale H. P.
CORP Author Environmental Monitoring and Support Lab., Las Vegas, NV.;Illinois State Environmental Protection Agency, Springfield.;Jet Propulsion Lab., Pasadena, CA.
Publisher Environmental Monitoring Systems Laboratory, Office of Research and Development, U.S. Environmental Protection Agency ; Available through the National Technical Information Service,
Year Published 1979
Report Number EPA-600/3-79-123
Stock Number PB80-176464
OCLC Number 07017264
Subjects Lakes--Illinois ; Eutrophication--Illinois ; Lakes--Classification
Additional Subjects Limnology ; Water pollution ; Lakes ; Remote sensing ; Classifications ; Feasibility ; Regression analysis ; Indexes(Ratios) ; Water quality ; Mapping ; Infrared detection ; Data processing ; Sampling ; Tables(Data) ; Illinois ; Trophic level ; Eutrophication ; Landsat satellites
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
EHAM  QH105.I6T75 Region 1 Library/Boston,MA 04/29/2016
EJBD  EPA 600-3-79-123 c.1 Headquarters Library/Washington,DC 04/07/2014
ELBD ARCHIVE EPA 600-3-79-123 Received from HQ AWBERC Library/Cincinnati,OH 10/04/2023
ESAD  EPA 600-3-79-123 Region 10 Library/Seattle,WA 03/23/2010
NTIS  PB80-176464 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation xvii, 225 pages : illustrations, maps ; 28 cm.
A project was initiated to determine the feasibility of assessing and classifying a group of Illinois lakes through the utilization of a combination of contact- and satellite-acquired data. LANDSAT multispectral scanner (MSS) digital multidate data for 145 Illinois lakes were extracted from computer-compatible tapes and adjusted through regression analysis to a common acquisition date. Next, MSS lake pixel counts were converted to lake surface area estimates. Regression models employing transformed Mss bands as independent variables were developed for the estimation of several water quality parameters and two multivariate trophic state indices. The water quality parameter estimates were then used to develop lake rankings that, when evaluated, were found to be in general agreement with ancillary data. Complete linkage-based cluster analyses of the raw MSS data and the LANDSAT-derived water quality parameter estimates for the 145 lakes resulted in the identification of physically significant lake groups.
Includes bibliographical references (pages 172-182).