Neural network modeling of surface chlorophyll and sediment content in inland water from Landsat Thematic Mapper imagery using multi-date spectrometer data

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4488, Issue , 2002, Pages 205-212

  Baruah, Pranab J ^a   Tamura, Masayuki ^b   Oki, Kazuo ^c   Nishimura, Hitoshi ^d  

^a UNIVERSITY OF TSUKUBA   (Japan)

^b NATIONAL INSTITUTE FOR ENVIRONMENTAL STUDIES   (Japan)

^c Department of Biological and Environmental Engineering   (Japan)

^d Inst of Eng Mechanics and Systems   (Japan)

Author keywords

Band simulation; Inland water quality; LandsatTM; Neural networks; Spectrometer

Indexed keywords

CHLOROPHYLL; COMPUTER SIMULATION; ERROR ANALYSIS; IMAGE ANALYSIS; MATHEMATICAL MODELS; NEURAL NETWORKS; SEDIMENTS; SPECTROMETRY; SURFACE WATERS; WATER QUALITY;

INLAND WATER QUALITY; LANDSAT THEMATIC MAPPER IMAGERY; ROOT MEAN SQUARE ERROR; SPATIAL DISTRIBUTION;

COASTAL ENGINEERING;

EID: 0036396540     PISSN: 0277786X     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.452815     Document Type: Article

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