Main Title |
Trophic classification of lakes using LANDSAT-1 (ERTS-1) multispectral scanner data / |
Author |
Boland, Dale H. P., ;
Boland, D. H. P.
|
CORP Author |
Environmental Research Lab., Corvallis, Oreg. Assessment and Criteria Development Div.;Jet Propulsion Lab., Pasadena, Calif.;National Aeronautics and Space Administration, Washington, D.C. Office of Technology Utilization. |
Publisher |
U.S. Environmental Protection Agency, Office of Research and Development, Corvallis Environmental Research Laboratory, Assessment and Criteria Development, |
Year Published |
1976 |
Report Number |
EPA-600/3-76-037 |
Stock Number |
PB-255 292 |
OCLC Number |
02514888 |
ISBN |
pbk. |
Subjects |
Scientific satellites ;
Artificial satellites--Testing ;
Lakes--Photographs from space ;
Eutrophication ;
Artificial satellites--Scientific applications
|
Additional Subjects |
Lakes ;
Remote sensing ;
Water pollution ;
Multivariate analysis ;
Classifications ;
Chlorophylls ;
Phosphorus ;
Conductivity ;
Algae ;
Nitrogen ;
Transparence ;
Michigan ;
New York ;
Artificial satellites ;
Spaceborne photography ;
Infrared scanners ;
Data processing ;
Photographic images ;
Minnesota ;
Wisconsin ;
Trophic level ;
Eutrophication ;
ERTS 1 satellite ;
LANDSAT 1 satellite
|
Internet Access |
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
EJBD |
EPA 600/3-76-037 |
c.1 |
Headquarters Library/Washington,DC |
03/10/2014 |
ELBD ARCHIVE |
EPA 600/3-76-037 |
Received from HQ |
AWBERC Library/Cincinnati,OH |
10/04/2023 |
ELBD |
EPA 600-3-76-037 |
|
AWBERC Library/Cincinnati,OH |
04/10/1998 |
ESAD |
EPA 600-3-76-037 |
|
Region 10 Library/Seattle,WA |
03/23/2010 |
NTIS |
PB-255 292 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
xviii, 245 pages : illustrations (1 color), diagram, graphs, maps ; 28 cm. |
Abstract |
The study evaluates the Earth Resources Technology Satellite One (ERTS-1; i.e., LANDSAT-1) multispectral scanner (MSS) as a means of estimating lacustrine trophic state. Numerical classificatory methods are employed to ascertain the trophic character of 100 lakes in Minnesota, Wisconsin, Michigan, and New York. Principal components analysis is used to derive a multivariate trophic state index (PCl) using the trophic indicators chlorophyll a, conductivity, inverse of Secchi depth, total phosphorus, an algal assay yield, and total organic nitrogen. A binary masking technique is used to extract lake-related MSS data from digital tapes (CCTs). MSS color ratio models are developed which give good estimates of Secchi depth and fair estimates of chlorophyll a levels. Trophic state, as defined by lake position on the first principal component axis (PCl), is predicted using MSS color ratio regression models. |
Notes |
Includes appendices. List of Acronyms and symbols (pages 147-149). Includes bibliographical references (pages 128-146). |