RICHARDSON, Galen, FOREMAN, Neve, KNUDBY, Anders, WU, Yulun und LIN, Yiwen, 2024. Global deep learning model for delineation of optically shallow and optically deep water in Sentinel-2 imagery. Remote Sensing of Environment. 1 September 2024. Vol. 311, , . DOI 10.1016/j.rse.2024.114302.
Elsevier - Harvard (with titles)Richardson, G., Foreman, N., Knudby, A., Wu, Y., Lin, Y., 2024. Global deep learning model for delineation of optically shallow and optically deep water in Sentinel-2 imagery. Remote Sensing of Environment 311. https://doi.org/10.1016/j.rse.2024.114302
American Psychological Association 7th editionRichardson, G., Foreman, N., Knudby, A., Wu, Y., & Lin, Y. (2024). Global deep learning model for delineation of optically shallow and optically deep water in Sentinel-2 imagery. Remote Sensing of Environment, 311. https://doi.org/10.1016/j.rse.2024.114302
Springer - Basic (author-date)Richardson G, Foreman N, Knudby A, Wu Y, Lin Y (2024) Global deep learning model for delineation of optically shallow and optically deep water in Sentinel-2 imagery. Remote Sensing of Environment 311. https://doi.org/10.1016/j.rse.2024.114302
Juristische Zitierweise (Stüber) (Deutsch)Richardson, Galen/ Foreman, Neve/ Knudby, Anders/ Wu, Yulun/ Lin, Yiwen, Global deep learning model for delineation of optically shallow and optically deep water in Sentinel-2 imagery, Remote Sensing of Environment 2024.