Potential of Using Machine Learning Regression Techniques to Utilize Sentinel Images for Bathymetry Mapping of Nile River
Tài liệu tham khảo
Adler-Golden, 2005, Remote bathymetry of the littoral zone from AVIRIS, LASH and QuickBird imagery, IEEE Transactions on Geoscience and Remote Sensing, 43, 337, 10.1109/TGRS.2004.841246
Ashphaq, 2022, Analysis of univariate linear, robust-linear, and non-linear machine learning algorithms for satellite-derived bathymetry in complex coastal terrain, Regional Studies in Marine Science, 56, 102678, 10.1016/j.rsma.2022.102678
Ashphaq, 2022, Evaluation and performance of satellite-derived bathymetry algorithms in turbid coastal water: a case study of Vengurla rocks, Indian Journal of Geo-Marine Sciences (IJMS), 51, 310
Brando, 2009, A Physics Based Retrieval and Quality Assessment of Bathymetry from Suboptimal Hyperspectral Data, Remote Sensing of Environment, 113, 755, 10.1016/j.rse.2008.12.003
Brisson, L., Wolfe, D. A. and Staley, M., 2014. Interferometric Swath Bathymetry for Large Scale Shallow Water Hydrographic Surveys Canadian Hydrographic Conference. 1 – 18.
Casal, 2019, Assessment of empirical algorithms for bathymetry extraction using Sentinel-2 data, International Journal of Remote Sensing, 40, 2855, 10.1080/01431161.2018.1533660
Casal, 2020, Understanding satellite-derived bathymetry using Sentinel 2 imagery and spatial prediction models, GIScience & Remote Sensing, 57, 271, 10.1080/15481603.2019.1685198
Chavez, 1996, Image-based atmospheric corrections - Revisited and improved, Photogramm. Eng. Remote Sens., 1996, 1025
Dekker, 2011, Intercomparison of Shallow Water Bathymetry, Hydro-optics, and Benthos Mapping Techniques in Australian and Caribbean Coastal Environment, Limnology and Oceanography: Methods, 9, 396
Ehses, 2015, Depth derivation using multispectral WorldView-2 satelliteimagery, Civ Environ Eng, 24–46
Elshazly, R.E., Armanuos, A.M., Zeidan, B.A. et al.and ELshemy, M., Evaluating remote sensing approaches for mapping the bathymetry of Lake Manzala, Egypt. Euro-Mediterr J Environ Integr 6, 77 (2021). https://doi.org/10.1007/s41207-021-00285-0.
ESA, 2015. SENTINEL-2 User Handbook Sentinel-2 User Handbook SENTINEL-2 User Handbook Title Sentinel -2 User Handbook SENTINEL-2 User Handbook 1–64.
Eugenio, 2022, High Resolution Satellite Bathymetry Mapping: Regression and Machine Learning Based Approaches, IEEE, Transactions on Geoscience and Remote Sensing,, 60, 1, 10.1109/TGRS.2021.3135462
Gabr, 2020, PlanetScope and landsat 8 imageries for bathymetry mapping, Journal of Marine Science and Engineering, 8, 143, 10.3390/jmse8020143
Hedley, 2016, A Physics-Based Method for the Remote Sensing of Seagrasses, Remote Sensing of Environment, 174, 134, 10.1016/j.rse.2015.12.001
Hossen, H.; Khairy, M.; Ghaly, S.; Scozzari, A.; Negm, A.; Elsahabi, M. Bathymetric and Capacity Relationships Based on Sentinel-3 Mission Data for Aswan High Dam Lake, Egypt. Water 2022, 14, 711. https://doi.org/10.3390/w14050711. https://www.pifsc.noaa.gov/library/pubs/tech/NOAA_Tech_Memo_PIFSC_46.pdf5.
Kanno, 2011, Shallow Water Bathymetry from Multispectral Satellite Images: Extensions of Lyzenga’s Method for Improving Accuracy Coast, Eng. J., 53, 431
Lee, 2022, Assessment of hydrological changes in inland water body using satellite altimetry and Landsat imagery: A case study on Tsengwen Reservoir, Journal of Hydrology: Regional Studies, 44, 101227
Lyzenga, 1985, Shallow-water Bathymetry Using Combined LiDAR and Passive Multispectral Scanner Data, International Journal of Remote Sensing, 6, 115, 10.1080/01431168508948428
Lyzenga, 2006, Multispectral bathymetry using a simple physically based algorithm IEEE Trans, Geosci. Remote Sens., 44, 2251, 10.1109/TGRS.2006.872909
Manessa, 2016, Satellite-Derived Bathymetry Using Random Forest Algorithm and Worldview-2 Imagery, Geoplanning: Journal of Geomatics and Planning, 3, 117
Marcello, 2021, Advanced Processing of Multiplatform Remote Sensing Imagery for the Monitoring of Coastal and Mountain Ecosystems, IEEE Access, 9, 6536, 10.1109/ACCESS.2020.3046657
Maulud, 2020, A review on linear regression comprehensive in machine learning, Journal of Applied Science and Technology Trends, 1, 140, 10.38094/jastt1457
Melsheimer, 2001, Extracting bathymetry from multi-temporal SPOT images, Asian Conf Remote Sens, 58, 37
Misra, 2018, Shallow Water Bathymetry Mapping Using Support Vector Machine (SVM) Technique and Multispectral Imagery, International Journal of Remote Sensing, 39, 4431, 10.1080/01431161.2017.1421796
Mohamed, H., Negm, A., Zahran, M.,and Saavedra, O.C. 2015. Assessment of Artificial Neural Network for bathymetry estimation using High Resolution Satellite imagery in Shallow Lakes: Case Study El Burullus Lake. Eighteenth International Water Technology Conference, IWTC 18 Sharm El Sheikh, 12-14 March 2015.
Mudiyanselage, 2022, Satellite-derived bathymetry using machine learning and optimal Sentinel-2 imagery in South-West Florida coastal waters, GIScience & Remote Sensing, 59, 1143, 10.1080/15481603.2022.2100597
Negm, 2017, Nile river bathymetry by satellite remote sensing case study: Rosetta branch, The Nile River, 259, 10.1007/698_2017_17
Palmer, 2015, Remote sensing of inland waters: Challenges, progress and future directions, Remote Sensing of Environment, 157, 1, 10.1016/j.rse.2014.09.021
Prayudha Hartanto, Yustisi Lumban-Gaol, and Ratna Sari Dewi, 2020. A Comparative Analysis to Model Bathymetry using Multisensor Satellite Imageries. IOP Conf. Series: Earth and Environmental Science 618 (2020) 012027.
Sagawa, 2019, Satellite Derived Bathymetry Using Machine Learning and Multi-Temporal Satellite Images, Remote Sensing, 10 11(10), 1155, 10.3390/rs11101155
Stumpf, 2003, Determination of water depth with high-resolution satellite imagery over variable bottom types, Limnology and Oceanography, 48, 547, 10.4319/lo.2003.48.1_part_2.0547
Sukmono, A., Aji, Amarrohman, F. J., Bashit, N., and Saputra, L. R., 2022. The Extraction of Near-Shore Bathymetry using Sentinel-2A Satellite Imagery: Algorithms and Their Modifications. TEM Journal. Volume 11, Issue 1, pages 150-158, ISSN 2217‐8309, DOI: 10.18421/TEM111-17.
Tonion, 2020, A machine learning approach to multispectral satellite derived bathymetry, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 3, 565, 10.5194/isprs-annals-V-3-2020-565-2020
Westley, 2021, Satellite-derived bathymetry for maritime archaeology: Testing its effectiveness at two ancient harbours in the Eastern Mediterranean, Journal of Archaeological Science: Reports, 38, 103030
Wu, Z., Mao, Z., Shen, W., Yuan, D., Zhang, X. and Huang, H., 2022. Satellite-derived bathymetry based on machine learning models and an updated quasi-analytical algorithm approach. Optics Express, 30(10), pp.16773-16793.
Yang, 2022, Bathymetric mapping and estimation of water storage in a shallow lake using a remote sensing inversion method based on machine learning, International Journal of Digital Earth, 15, 789, 10.1080/17538947.2022.2069873
Zhou, 2023, A Comparison of Machine Learning and Empirical Approaches for Deriving Bathymetry from Multispectral Imagery, Remote Sensing, 15, 393, 10.3390/rs15020393