YTU-WATERNET
YTU-WaterNet is a large-scale dataset for water-body segmentation in Landsat 8 OLI imagery. YTU-WaterNet dataset created using 63 Landsat 8 OLI full-frames belonging to coastal zones of Albania, Argentina, Bulgaria, England, Georgia, Greece, Ireland, Italy, Libya, Russia, South Africa, and Spain, Turkey, and the USA. Image size is 512x512, the total amount of training, test and validation images are 824, 92 and 92, respectively.
If you use WaterNet dataset, please cite the following the following paper:
Firat Erdem, Bulent Bayram, Tolga Bakirman, Onur Can Bayrak, Burak Akpinar. An Ensemble Deep Learning Based Shoreline Segmentation Approach (WaterNet) from Landsat 8 OLI images, Advances in Space Research, doi:10.1016/j.asr.2020.10.043
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We do request that you include a statement of the data source when citing, copying, or reprinting USGS Landsat data or images.
Use of the images from Landsat must respect the corresponding terms of use:
https://www.usgs.gov/faqs/are-there-any-restrictions-use-or-redistribution-landsat-data?qt-news_science_products=0#qt-news_science_products
https://landsat.usgs.gov/sites/default/files/documents/Landsat_Data_Policy.pdf