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Expanding the Global Martian Landslide Inventory with Multimodal DINOv2 Feature Fusion and SVM Classification

  • Authors: Yunwan Tao, Lu Pan, Zongfang Liu

Yunwan Tao et al 2026 The Planetary Science Journal 7 .

  • Provider: AAS Journals

Caption: Figure 1.

Map showing the distribution of landslide features and randomly clipped nonlandslide features, which serve as the input dataset for the Mars-DiSVM framework. Orange polygons represent the areas of interest (AOIs), including an area with mapped landslides from the inventory of G. B. Crosta et al. (2018b) as well as areas without mapped landslides.

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