| 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 |
|
| 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 |
|
| Holdings |
| Library |
Call Number |
Additional Info |
Location |
Last
Modified |
Checkout
Status |
| EHAM |
QH105.I6T75 |
|
Region 1 Library/Boston,MA |
04/29/2016 |
| EJBD ARCHIVE |
EPA 600-3-79-123 |
|
Headquarters Library/Washington,DC |
01/06/2014 |
| EJBD |
EPA 600-3-79-123 |
c.1 |
Headquarters Library/Washington,DC |
04/07/2014 |
| 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. |
| Abstract |
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. |
| Notes |
Includes bibliographical references (pages 172-182). |
