%0 Journal Article %1 journals/aeog/LiWCWZO22 %A Li, Kai %A Wang, Juanle %A Cheng, Wenjing %A Wang, Yi %A Zhou, Yezhi %A Ochir, Altansukh %D 2022 %J Int. J. Appl. Earth Obs. Geoinformation %K dblp %P 102928 %T Deep learning empowers the Google Earth Engine for automated water extraction in the Lake Baikal Basin. %U http://dblp.uni-trier.de/db/journals/aeog/aeog112.html#LiWCWZO22 %V 112

@article{journals/aeog/LiWCWZO22, added-at = {2023-09-30T00:00:00.000+0200}, author = {Li, Kai and Wang, Juanle and Cheng, Wenjing and Wang, Yi and Zhou, Yezhi and Ochir, Altansukh}, biburl = {https://www.bibsonomy.org/bibtex/2b40622da99fca4cca9112f22093c4f61/dblp}, ee = {https://doi.org/10.1016/j.jag.2022.102928}, interhash = {ff41d20e06b87086edd6d31e8aaf4ebc}, intrahash = {b40622da99fca4cca9112f22093c4f61}, journal = {Int. J. Appl. Earth Obs. Geoinformation}, keywords = {dblp}, pages = 102928, timestamp = {2024-04-09T02:21:41.000+0200}, title = {Deep learning empowers the Google Earth Engine for automated water extraction in the Lake Baikal Basin.}, url = {http://dblp.uni-trier.de/db/journals/aeog/aeog112.html#LiWCWZO22}, volume = 112, year = 2022 }