# Machine Learning Algorithms for Automatic Lithological Mapping Using Remote Sensing Data: A Case Study from Souk Arbaa Sahel, Sidi Ifni Inlier, Western Anti-Atlas, Morocco

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-algorithms-for-automatic-lithological-mapping-using-remote/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Imane Bachri,Mustapha Hakdaoui,Mohammed Raji,Ana Cláudia Teodoro,Abdelmajid Benbouziane |
| Citations | 130 |
| DOI | 10.3390/ijgi8060248 |
| Fields | Computer Science,Engineering,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2220-9964/8/6/248/pdf?version=1559131841 |
| OpenAlex ID | https://openalex.org/W2947319370 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Ana Cláudia Teodoro](https://scholariq.org/researchers/ana-claudia-teodoro/)

## Paper primary topic

- [Geochemistry and Geologic Mapping](https://scholariq.org/topics/geochemistry-and-geologic-mapping/)

## Paper topics

- [Geochemistry and Geologic Mapping](https://scholariq.org/topics/geochemistry-and-geologic-mapping/)
- [Remote-Sensing Image Classification](https://scholariq.org/topics/remote-sensing-image-classification/)
- [Soil Geostatistics and Mapping](https://scholariq.org/topics/soil-geostatistics-and-mapping/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.