Spatiotemporal pattern validation of chlorophyll-a concentrations in Lake Okeechobee, Florida, using a comparative MODIS image mining approach

International Journal of Remote Sensing

Volumn 33, Issue 7, 2012, Pages 2233-2260

  Chang, Ni Bin ^a   Yang, Y Jeffrey ^b   Daranpob, Ammarin ^a   Jin, Kang Ren ^c   James, Thomas ^c  

^a UNIVERSITY OF CENTRAL FLORIDA   (United States)

^b U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

^c Hydrologic and Environmental Systems Modeling Division   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHLOROPHYLL; DATA MINING; GENETIC ALGORITHMS; GENETIC PROGRAMMING; LAKES; LEARNING SYSTEMS; LINEAR REGRESSION; NEURAL NETWORKS; SATELLITE IMAGERY; WATER LEVELS; WIND;

ARTIFICIAL NEURAL NETWORK MODELS; CHLOROPHYLL-A CONCENTRATION; ENVIRONMENTAL PARAMETER; ENVIRONMENTAL VARIABLES; LAKE OKEECHOBEE , FLORIDA; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; MULTIPLE LINEAR REGRESSION MODELS; SPATIOTEMPORAL PATTERNS;

RADIOMETERS;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; CHLOROPHYLL A; COMPARATIVE STUDY; DATA MINING; DATA SET; LAKE WATER; MODIS; SPATIOTEMPORAL ANALYSIS; SURFACE REFLECTANCE;

FLORIDA [UNITED STATES]; LAKE OKEECHOBEE; UNITED STATES;

EID: 84863246907     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2011.608089     Document Type: Article

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