Cargando…
A review on advancements in lithological mapping utilizing machine learning algorithms and remote sensing data
Lithological mapping is a fundamental undertaking in geological research, mineral resource exploration, and environmental management. However, conventional methods for lithological mapping are often laborious and challenging, particularly in remote or inaccessible areas. Fortunately, a transformativ...
Autores principales: | EL-Omairi, Mohamed Ali, El Garouani, Abdelkader |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559961/ https://www.ncbi.nlm.nih.gov/pubmed/37809824 http://dx.doi.org/10.1016/j.heliyon.2023.e20168 |
Ejemplares similares
-
Assessing environmental and radiological impacts and lithological mapping of beryl-bearing rocks in Egypt using high-resolution sentinel-2 remote sensing images
por: Khaleal, Farrage M., et al.
Publicado: (2023) -
Lithological information extraction and classification in hyperspectral remote sensing data using Backpropagation Neural Network
por: Wang, Zhengyang, et al.
Publicado: (2021) -
Lithological discrimination and mineralogical mapping using Landsat-8 OLI and ASTER remote sensing data: Igoudrane region, jbel saghro, Anti Atlas, Morocco
por: Baid, Soukaina, et al.
Publicado: (2023) -
Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment
por: Nhu, Viet-Ha, et al.
Publicado: (2020) -
Numerical data of probabilistic 3D lithological map of Japanese crust
por: Takeuchi, Nozomu, et al.
Publicado: (2019)