Artificial neural network-based techniques for the retrieval of SWE and snow depth from SSM/I data

Remote Sensing of Environment

Volumn 90, Issue 1, 2004, Pages 76-85

  Tedesco, M ^a,c   Pulliainen, J ^b   Takala, M ^b   Hallikainen, M ^b   Pampaloni, P ^a  

^a CNR   (Italy)

^b AALTO UNIVERSITY   (Finland)

^c NONE   (Italy)

Author keywords

Artificial neural networks; Microwave remote sensing; Snow

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DATA REDUCTION; ITERATIVE METHODS; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; SNOW;

SNOW WATER EQUIVALENT (SWE); SPECIAL SENSOR MICROWAVE IMAGERS (SSM/I);

IMAGE SENSORS;

ARTIFICIAL NEURAL NETWORK; BRIGHTNESS TEMPERATURE; DATA INVERSION; IMAGE CLASSIFICATION; MICROWAVE IMAGERY; REMOTE SENSING; SNOW COVER; SSM-I;

EURASIA; EUROPE; FINLAND; NORTHERN EUROPE; SCANDINAVIA;

EID: 1242299604     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2003.12.002     Document Type: Article

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