Seasonal change detection of riparian zones with remote sensing images and genetic programming in a semi-arid watershed

Journal of Environmental Management

Volumn 90, Issue 2, 2009, Pages 1069-1080

  Makkeasorn, Ammarin ^a   Chang, Ni Bin ^a   Li, Jiahong ^b  

^a UNIVERSITY OF CENTRAL FLORIDA   (United States)

^b KENNEDY SPACE CENTER   (United States)

Author keywords

Ecohydrology; Genetic programming; LANDSAT; RADARSAT 1; Riparian classification; Soil moisture; Vegetation index

Indexed keywords

GENETIC ALGORITHMS; GENETIC PROGRAMMING; IMAGE ANALYSIS; IMAGE CLASSIFICATION; ITERATIVE METHODS; MAXIMUM LIKELIHOOD ESTIMATION; RADAR IMAGING; REMOTE SENSING; SOIL MOISTURE; SUPERVISED LEARNING; SYNTHETIC APERTURE RADAR; VEGETATION MAPPING; WATERSHEDS;

CHANGE DETECTION; CLASSIFICATION ALGORITHM; ECO-HYDROLOGY; LANDSAT; RADARSAT 1; RIPARIAN CLASSIFICATION; RIPARIAN ZONES; SEASONAL CHANGES; SEMI-ARID WATERSHED; VEGETATION INDEX;

LANDSAT;

DETECTION METHOD; ECOHYDROLOGY; IMAGE CLASSIFICATION; LANDSAT THEMATIC MAPPER; RADARSAT; REMOTE SENSING; RIPARIAN ZONE; SATELLITE IMAGERY; SEASONAL VARIATION; SEMIARID REGION; SOIL MOISTURE; SYNTHETIC APERTURE RADAR; VEGETATION INDEX; WATERSHED;

ARTICLE; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; ENVIRONMENTAL MANAGEMENT; ENVIRONMENTAL MONITORING; GENETIC PROGRAMMING; IMAGE ANALYSIS; REMOTE SENSING; RIPARIAN ECOSYSTEM; SEASONAL VARIATION; SOIL MOISTURE; STATISTICAL ANALYSIS; UNITED STATES; VEGETATION; WATERSHED;

CHOKE CANYON RESERVOIR; NORTH AMERICA; TEXAS; UNITED STATES;

AVES;

EID: 56249133307     PISSN: 03014797     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jenvman.2008.04.004     Document Type: Article

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