Application of artificial neural network approach and remotely sensed imagery for regional eco-environmental quality evaluation

Environmental Monitoring and Assessment

Volumn 128, Issue 1-3, 2007, Pages 217-229

  Shi, Zhou ^a   Li, Hongyi ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Artificial neural network; Eco environmental quality; Evaluation; Land use; Remote sensing

Indexed keywords

BACKPROPAGATION; GLOBAL POSITIONING SYSTEM; LAND USE; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTICAL CORRELATION; REMOTE SENSING;

ECO-FRIENDLY QUALITY; ENVIRONMENTAL QUALITY;

ENVIRONMENTAL ENGINEERING;

RAIN;

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; ENVIRONMENTAL MANAGEMENT; ENVIRONMENTAL MONITORING; HUMAN ACTIVITY; IMAGERY; LAND USE; PERFORMANCE ASSESSMENT; REMOTE SENSING; VEGETATION INDEX;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CHINA; CORRELATION ANALYSIS; ECOLOGY; ENVIRONMENTAL IMPACT; ENVIRONMENTAL MANAGEMENT; ENVIRONMENTAL TEMPERATURE; FOREST; GLOBAL POSITIONING SYSTEM; IMAGERY; LAND USE; METEOROLOGICAL PHENOMENA; PREDICTION; QUALITY CONTROL; QUANTITATIVE ANALYSIS; REMOTE SENSING; SCORING SYSTEM; SOIL QUALITY; SOIL TEMPERATURE; URBAN AREA; VEGETATION;

CHINA; ENVIRONMENTAL MONITORING; NEURAL NETWORKS (COMPUTER);

ASIA; CHINA; EURASIA; FAR EAST; FUJIAN; FUZHOU;

HUMAN HERPESVIRUS 4;

EID: 34247881883     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-006-9307-5     Document Type: Article

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