Record Display for the EPA National Library Catalog


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
Description Access URL
Library Call Number Additional Info Location Last
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.
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.
Includes appendices. List of Acronyms and symbols (pages 147-149). Includes bibliographical references (pages 128-146).