1. Akgül, M.A., Dağdeviren, M., Biroğlu, İ. (2018). Satellite-Derived Bathymetry Using Multi-Temporal Satellite Images, DSİ Technical Bulletin, Issue:127, January 2018 (in Turkish). https://cdniys.tarimorman.gov.tr/api/File/GetFile/471/Sayfa/1568/1941/DosyaGaleri/127.pdf.
2. Bernstein, L. S., Adler-Golden, S. M., Sundberg, R. L., Levine, R. Y., Perkins, T. C., Berk, A., & Hoke, M. L. (2005). Validation of the QUick atmospheric correction (QUAC) algorithm for VNIR-SWIR multi-and hyperspectral imagery. In Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI (Vol. 5806, pp. 668-678). SPIE.
3. Canty, J. M. (2014). Image Analysis, classification and change detection in remote sensing, with algorithms for ENVI/IDL and python (3rd ed.). CRC Press.
4. Chu, S., Cheng, L., Cheng, J., Zhang, X., & Liu, J. (2023). Comparison of six empirical methods for multispectral satellite-derived bathymetry. Marine Geodesy, 46(2), 149–174. https://doi.org/10.1080/01490419.2022.2132327
5. Darama, Y., Selek, Z., Selek, B., Akgül, M.A., Dağdeviren, M. (2019). Determination of Sediment Deposition of Hasanlar Dam using Bathymetric and Remote Sensing Studies, Natural Hazards 97, 211–227 (2019). https://doi.org/10.1007/s11069-019-03635-y.