A comparison of Landsat 8, RapidEye and Pleiades products for improving empirical predictions of satellite-derived bathymetry.

Cahalane, C; Magee, A; Monteys, X; Casal, G; Hanafin, J; Harris, P

Cahalane, C; Magee, A; Monteys, X; Casal, G; Hanafin, J; Harris, P.

Afiliação

Cahalane C; Department of Geography, Rhetoric House, Maynooth University, Co. Kildare, Ireland.
Magee A; National Centre for Geocomputation, Iontas, Maynooth University, Maynooth, Co. Kildare, Ireland.
Monteys X; Geological Survey Ireland, Beggars Bush, Haddington Road, Dublin 4 D04 K7X4, Ireland.
Casal G; National Centre for Geocomputation, Iontas, Maynooth University, Maynooth, Co. Kildare, Ireland.
Hanafin J; TechWorks Marine Ltd, Pottery Road Enterprise Centre, Dun Laoghaire, Co. Dublin, Ireland.
Harris P; Sustainable Agriculture Systems, Rothamsted Research, North Wyke, Okehampton, Devon EX20 2 SB, UK.

Remote Sens Environ ; 233: 111414, 2019 Nov.

Article em En | MEDLINE | ID: mdl-31787782

Palavras-chave

Coastal; Geostatistics; LiDAR; Multi-platform; Multispectral

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Remote Sens Environ Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Irlanda

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