Development of a remote sensing algorithm for cyanobacterial phycocyanin pigment in the Baltic Sea using neural network approach

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 8175, Issue , 2011, Pages

  Riha, Stefan ^a   Krawczyk, Harald ^a  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

Cyanobacteria; MERIS; Neural network; Remote sensing

Indexed keywords

ALGAE BLOOMS; AQUATIC SYSTEM; ARTIFICIAL NEURAL NETWORK; BALTIC SEA; BIO-OPTICAL; BIO-OPTICAL MODELS; BLUE GREEN ALGAE; CHLOROPHYLL A; CHLOROPHYLL CONCENTRATION; CYANOBACTERIA; CYANOBACTERIA BLOOMS; DATA SETS; ECOLOGICAL STATE; INVERSION TECHNIQUES; LABORATORY MEASUREMENTS; MARINE REMOTE SENSING; MERIS; MODEL BASED INVERSION; MODEL-BASED OPC; NEGATIVE INFLUENCE; NON LINEAR INVERSION; PARAMETER SET; PHYCOCYANIN; REFLECTANCE VALUES; REMOTE SENSING ALGORITHMS; SATELLITE REMOTE SENSING; SATELLITE REMOTE SENSING DATA; SPATIAL RESOLUTION; STANDARD ALGORITHMS; SUSPENDED MATTERS; THEORETICAL BASIS; WATER MODELS; WATER QUALITY MONITORING; WATER QUALITY PARAMETERS;

ALGAE; ALGORITHMS; CHLOROPHYLL; COMPUTER PERIPHERAL EQUIPMENT; CRACK PROPAGATION; ECOLOGY; HYDROPHILICITY; MONITORING; OPTICAL PROPERTIES; PRINCIPAL COMPONENT ANALYSIS; REFLECTION; REMOTE SENSING; SEA ICE; WATER ABSORPTION; WATER QUALITY;

NEURAL NETWORKS;

EID: 81055145416     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.898081     Document Type: Conference Paper

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