The potential of object-based classification for geological mapping: Applications to the volcanic region of Vakinankaratra (central Madagascar)

• Published in: Journal of African earth sciences (1994) Vol. 228; p. 105641
• Main Authors: Ranomenjanahary, Frédéric L., Srarfi, Feyda, Razafimahatratra, Dieudonné, Rakotomanana, Dominique, Hamdi, Mohamed S., Abidi, Riadh, Randriamalala, Josoa R., Shimi, Najet Slim
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.08.2025
• Subjects: Madagascar; Mapping; Object-based classification; Remote sensing; Structural geology; Mapping; Madagascar; Structural geology; Remote sensing; Object-based classification
• ISSN: 1464-343X
• DOI: 10.1016/j.jafrearsci.2025.105641

A geological map is an indispensable instrument in the field of geological research. In the past, the sole method employed for the production of geological maps was manual mapping. This approach is costly in terms of time, resources and the amount of work required. Since the conclusion of the 20th century, remote sensing techniques, which entail the classification of satellite images, have been employed for the purpose of geological mapping to complement field work. The pixel method, which classifies based on pixels, is the most prevalent approach for the production of geological maps due to its greater ease of implementation. In contrast, object-based classification methods which consider sets of pixels (objects), are seldom employed, despite their considerable potential for geological mapping. The aim of this article is to compare the performance of these two types of satellite image classification for the update of geological maps (pixel and object-based method). The Central Highlands of Madagascar region has diverse geological, volcanic, sedimentary and metamorphism formations. The richness of geological features make harder geologic mapping. The use of Sentinel-1 and 2 images was justified by their superior accuracy and a high spatial resolution, permitting an easier details highlighting. The object-based method yielded geological map of notable accuracy, a slight superior Kappa coefficient (0.88 vs. 0.83). The generated map exhibit greater homogeneity and are more readily interpretable. Enabling, more straightforward identification of the different lithologies and easier geodynamic history comprehension of the study area. [Display omitted] •Remote sensing offers a more cost-effective mapping method, quick to implement, and capable of covering large geographic areas.•Object-based classification, still underutilized in geosciences, shows great potential for enhancing geological mapping.•Object-based classification outperforms pixel-based methods in terms of accuracy for producing geological maps.•Madagascar may be subject to East-West extension, suggesting significant geodynamic implications.