Predictive modelling of coniferous forest age using statistical and artificial neural network approaches applied to remote sensor data

International Journal of Remote Sensing

Volumn 20, Issue 14, 1999, Pages 2805-2822

  Jensen, J R ^a   Qiu, Fang ^a   Ji, Minhe ^b  

^a UNIVERSITY OF SOUTH CAROLINA   (United States)

^b UNIVERSITY OF NORTH TEXAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; ECOSYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; VEGETATION;

FOREST-DOMINATED ECOSYSTEMS; THEMATIC MAPPERS (TM);

REMOTE SENSING;

AGE DETERMINATION; ARTIFICIAL NEURAL NETWORK; CONIFEROUS FOREST; PREDICTION; THEMATIC MAPPING;

EID: 0033410249     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/014311699211804     Document Type: Article

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