Classifying spatially heterogeneous wetland communities using machine learning algorithms and spectral and textural features

Environmental Monitoring and Assessment

Volumn 187, Issue 5, 2015, Pages 1-15

  Szantoi, Zoltan ^a   Escobedo, Francisco J ^b   Abd Elrahman, Amr ^b   Pearlstine, Leonard ^c   Dewitt, Bon ^b   Smith, Scot ^b  

^a JOINT RESEARCH CENTRE   (Italy)

^b UNIVERSITY OF FLORIDA   (United States)

^c NATIONAL PARK SERVICE   (United States)

Author keywords

Plant communities; Remote sensing; Very high resolution imagery; Wetland

Indexed keywords

AERIAL PHOTOGRAPHY; ANTENNAS; BACKPROPAGATION ALGORITHMS; IMAGE TEXTURE; INFRARED DEVICES; MACHINE LEARNING; MAPPING; MAXIMUM LIKELIHOOD; NEURAL NETWORKS; REMOTE SENSING; TEXTURES; WETLANDS;

COMPUTATIONAL ADVANTAGES; EVERGLADES NATIONAL PARK; FRESHWATER COMMUNITY; IMAGE CLASSIFICATION ALGORITHMS; LOW-RESOLUTION IMAGERY; NORMALIZED DIFFERENCE VEGETATION INDEX; PLANT COMMUNITIES; RESOLUTION IMAGERY;

LEARNING ALGORITHMS;

ALGORITHM; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; IMAGE CLASSIFICATION; PLANT COMMUNITY; REMOTE SENSING; WETLAND;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CLASSIFIER; DECISION TREE; FRESHWATER ENVIRONMENT; GEOGRAPHIC MAPPING; IMAGE ANALYSIS; KAPPA STATISTICS; MACHINE LEARNING; MARSH; MAXIMUM LIKELIHOOD METHOD; NATIONAL PARK; NEAR INFRARED SPECTROSCOPY; PERCEPTRON; REMOTE SENSING; SATELLITE IMAGERY; STATISTICAL SIGNIFICANCE; SWAMP; UNITED STATES; UPLAND; VEGETATION; WETLAND; ALGORITHM; ARTIFICIAL INTELLIGENCE; ENVIRONMENTAL MONITORING; PROCEDURES;

EVERGLADES NATIONAL PARK; FLORIDA [UNITED STATES]; UNITED STATES;

FRESH WATER;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ENVIRONMENTAL MONITORING; FLORIDA; FRESH WATER; NEURAL NETWORKS (COMPUTER); WETLANDS;

EID: 84928325970     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-015-4426-5     Document Type: Article

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