Landsat Thematic Mapper monitoring of turbid inland water quality

Journal Article · Wed Apr 01 00:00:00 EST 1992 · Photogrammetric Engineering and Remote Sensing; (United States)

OSTI ID:5218021

Lathrop, JR, R G ^[1]

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1. Rutgers University, New Brunswick, NJ (United States)

This study reports on an investigation of water quality calibration algorithms under turbid inland water conditions using Landsat Thematic Mapper (TM) multispectral digital data. TM data and water quality observations (total suspended solids and Secchi disk depth) were obtained near-simultaneously and related using linear regression techniques. The relationships between reflectance and water quality for Green Bay and Lake Michigan were compared with results for Yellowstone and Jackson Lakes, Wyoming. Results show similarities in the water quality-reflectance relationships, however, the algorithms derived for Green Bay - Lake Michigan cannot be extrapolated to Yellowstone and Jackson Lake conditions. 17 refs.

• OSTI ID: 5218021
• Journal Information: Photogrammetric Engineering and Remote Sensing; (United States), Vol. 58; ISSN 0099-1112
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
LAKE MICHIGAN
WATER QUALITY
MONITORING
WISCONSIN
WYOMING
ALGORITHMS
CALIBRATION
LANDSAT SATELLITES
REGRESSION ANALYSIS
REMOTE SENSING
SPECTRAL REFLECTANCE
TURBIDITY
DEVELOPED COUNTRIES
ENVIRONMENTAL QUALITY
FEDERAL REGION VIII
GREAT LAKES
LAKES
MATHEMATICAL LOGIC
MATHEMATICS
NORTH AMERICA
OPTICAL PROPERTIES
PHYSICAL PROPERTIES
SATELLITES
STATISTICS
SURFACE WATERS
USA
540320* - Environment
Aquatic- Chemicals Monitoring & Transport- (1990-)