Mapping earth mounds from space - IRISA
Article Dans Une Revue IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium Année : 2024

Mapping earth mounds from space

Résumé

Regular patterns of vegetation are considered widespread landscapes, although their global extent has never been estimated. Among them, spotted landscapes are of particular interest in the context of climate change. Indeed, regularly spaced vegetation spots in semi-arid shrublands result from extreme resource depletion and prefigure catastrophic shift of the ecosystem to a homogeneous desert, while termite mounds also producing spotted landscapes were shown to increase robustness to climate change. Yet, their identification at large scale calls for automatic methods, for instance using the popular deep learning framework, able to cope with a vast amount of remote sensing data, e.g., optical satellite imagery. In this paper, we tackle this problem and benchmark some state-of-the-art deep networks on several landscapes and geographical areas. Despite the promising results we obtained, we found that more research is needed to be able to map automatically these earth mounds from space.

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Dates et versions

hal-04706302 , version 1 (23-09-2024)

Identifiants

Citer

B. Uzun, S. Pande, G. Cachin-Bernard, M.T. Pham, Sébastien Lefèvre, et al.. Mapping earth mounds from space. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024, pp.4044-4049. ⟨10.1109/IGARSS53475.2024.10642004⟩. ⟨hal-04706302⟩
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