Mapping earth mounds from space - IRISA_UBS
Proceedings/Recueil Des Communications 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.

Fichier principal
Vignette du fichier
Mapping_Earth_Mounds_from_Space.pdf (3.92 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

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

Identifiants

  • HAL Id : hal-04706302 , version 1

Citer

B. Uzun, S. Pande, G. Cachin-Bernard, M. T. Pham, Sébastien Lefèvre, et al.. Mapping earth mounds from space. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2024. ⟨hal-04706302⟩
0 Consultations
0 Téléchargements

Partager

More