Landslide Hazard Mapping with Geospatial Foundation Models: Geographical Generalizability, Data Scarcity, and Band Adaptability
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Wenwen, Wang, Sizhe, Lee, Hyunho, Lu, Chenyan, Roy, Sujit, Ramachandran, Rahul, Hsu, Chia-Yu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Geospatial foundation models for image analysis: evaluating and enhancing NASA-IBM Prithvi's domain adaptability
by: Hsu, Chia-Yu, et al.
Published: (2024)
by: Hsu, Chia-Yu, et al.
Published: (2024)
Geospatial Artificial Intelligence for Satellite-Based Flood Extent Mapping: Concepts, Advances, and Future Perspectives
by: Lee, Hyunho, et al.
Published: (2025)
by: Lee, Hyunho, et al.
Published: (2025)
Assessment of a new GeoAI foundation model for flood inundation mapping
by: Li, Wenwen, et al.
Published: (2023)
by: Li, Wenwen, et al.
Published: (2023)
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping
by: Li, Wenwen, et al.
Published: (2024)
by: Li, Wenwen, et al.
Published: (2024)
Improving Interpretability of Deep Active Learning for Flood Inundation Mapping Through Class Ambiguity Indices Using Multi-spectral Satellite Imagery
by: Lee, Hyunho, et al.
Published: (2024)
by: Lee, Hyunho, et al.
Published: (2024)
Evaluating the Alignment Between GeoAI Explanations and Domain Knowledge in Satellite-Based Flood Mapping
by: Lee, Hyunho, et al.
Published: (2026)
by: Lee, Hyunho, et al.
Published: (2026)
RareFlow: Physics-Aware Flow-Matching for Cross-Sensor Super-Resolution of Rare-Earth Features
by: Fallah, Forouzan, et al.
Published: (2025)
by: Fallah, Forouzan, et al.
Published: (2025)
GeoAI Reproducibility and Replicability: a computational and spatial perspective
by: Li, Wenwen, et al.
Published: (2024)
by: Li, Wenwen, et al.
Published: (2024)
A Spatially Masked Adaptive Gated Network for multimodal post-flood water extent mapping using SAR and incomplete multispectral data
by: Lee, Hyunho, et al.
Published: (2025)
by: Lee, Hyunho, et al.
Published: (2025)
Landslide Detection and Mapping Using Deep Learning Across Multi-Source Satellite Data and Geographic Regions
by: Burange, Rahul A., et al.
Published: (2025)
by: Burange, Rahul A., et al.
Published: (2025)
On the Generalizability of Foundation Models for Crop Type Mapping
by: Chang, Yi-Chia, et al.
Published: (2024)
by: Chang, Yi-Chia, et al.
Published: (2024)
Enhancing GeoAI and location encoding with spatial point pattern statistics: A Case Study of Terrain Feature Classification
by: Wang, Sizhe, et al.
Published: (2024)
by: Wang, Sizhe, et al.
Published: (2024)
Tobler's First Law in GeoAI: A Spatially Explicit Deep Learning Model for Terrain Feature Detection Under Weak Supervision
by: Li, Wenwen, et al.
Published: (2025)
by: Li, Wenwen, et al.
Published: (2025)
A multi-scale vision transformer-based multimodal GeoAI model for mapping Arctic permafrost thaw
by: Li, Wenwen, et al.
Published: (2025)
by: Li, Wenwen, et al.
Published: (2025)
Low-Rank Adaptation of Geospatial Foundation Models for Wildfire Mapping Using Sentinel-2 Data
by: Shibli, Ali, et al.
Published: (2026)
by: Shibli, Ali, et al.
Published: (2026)
CrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic Segmentation
by: Gong, Ziyang, et al.
Published: (2024)
by: Gong, Ziyang, et al.
Published: (2024)
Geospatial Datasets and Hazard Assessment of Flood and Landslide Events in the Northern Peloponnese, Greece
by: Andriopoulou Mounteanou, Stefania - Alexandra, et al.
Published: (2026)
by: Andriopoulou Mounteanou, Stefania - Alexandra, et al.
Published: (2026)
Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications
by: Szwarcman, Daniela, et al.
Published: (2024)
by: Szwarcman, Daniela, et al.
Published: (2024)
Towards High-Resolution Alignment and Super-Resolution of Multi-Sensor Satellite Imagery
by: Shin, Philip Wootaek, et al.
Published: (2025)
by: Shin, Philip Wootaek, et al.
Published: (2025)
GFM4MPM: Towards Geospatial Foundation Models for Mineral Prospectivity Mapping
by: Daruna, Angel, et al.
Published: (2024)
by: Daruna, Angel, et al.
Published: (2024)
CrossEarth-SAR: A SAR-Centric and Billion-Scale Geospatial Foundation Model for Domain Generalizable Semantic Segmentation
by: Ye, Ziqi, et al.
Published: (2026)
by: Ye, Ziqi, et al.
Published: (2026)
Cross-Modal Transfer from Memes to Videos: Addressing Data Scarcity in Hateful Video Detection
by: Wang, Han, et al.
Published: (2025)
by: Wang, Han, et al.
Published: (2025)
Can Generative Geospatial Diffusion Models Excel as Discriminative Geospatial Foundation Models?
by: Jia, Yuru, et al.
Published: (2025)
by: Jia, Yuru, et al.
Published: (2025)
METEOR: Nepal Seismic-Triggered Landslide Hazard Map
by: Dashwood, Claire, et al.
Published: (2026)
by: Dashwood, Claire, et al.
Published: (2026)
Asynchronous Remote Sensing Time-Series Fusion for Cloud Removal and Anytime Reconstruction
by: Fallah, Forouzan, et al.
Published: (2026)
by: Fallah, Forouzan, et al.
Published: (2026)
Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs
by: Roberts, Jonathan, et al.
Published: (2023)
by: Roberts, Jonathan, et al.
Published: (2023)
Cropland Mapping using Geospatial Embeddings
by: Zvonkov, Ivan, et al.
Published: (2025)
by: Zvonkov, Ivan, et al.
Published: (2025)
Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data
by: Si, Haozhe, et al.
Published: (2025)
by: Si, Haozhe, et al.
Published: (2025)
TerraTorch: The Geospatial Foundation Models Toolkit
by: Gomes, Carlos, et al.
Published: (2025)
by: Gomes, Carlos, et al.
Published: (2025)
Geospatial Foundation Models to Enable Progress on Sustainable Development Goals
by: Ghamisi, Pedram, et al.
Published: (2025)
by: Ghamisi, Pedram, et al.
Published: (2025)
From Landslide Conditioning Factors to Satellite Embeddings: Evaluating the Utilisation of Google AlphaEarth for Landslide Susceptibility Mapping using Deep Learning
by: Cheng, Yusen, et al.
Published: (2026)
by: Cheng, Yusen, et al.
Published: (2026)
AnyBand-Diff: A Unified Remote Sensing Image Generation and Band Repair Framework with Spectral Priors
by: Zhao, Zuopeng, et al.
Published: (2026)
by: Zhao, Zuopeng, et al.
Published: (2026)
How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models?
by: Purohit, Mirali, et al.
Published: (2025)
by: Purohit, Mirali, et al.
Published: (2025)
Scalable Geospatial Data Generation Using AlphaEarth Foundations Model
by: Houriez, Luc, et al.
Published: (2025)
by: Houriez, Luc, et al.
Published: (2025)
No One Knows the State of the Art in Geospatial Foundation Models
by: Corley, Isaac, et al.
Published: (2026)
by: Corley, Isaac, et al.
Published: (2026)
Survey of Multimodal Geospatial Foundation Models: Techniques, Applications, and Challenges
by: Yang, Liling, et al.
Published: (2025)
by: Yang, Liling, et al.
Published: (2025)
PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models
by: Marsocci, Valerio, et al.
Published: (2024)
by: Marsocci, Valerio, et al.
Published: (2024)
Pretrain Where? Investigating How Pretraining Data Diversity Impacts Geospatial Foundation Model Performance
by: Kaur, Amandeep, et al.
Published: (2026)
by: Kaur, Amandeep, et al.
Published: (2026)
Utilising Machine Learning Approaches for Enhanced Landslide Susceptibility Mapping in Sikkim, India
by: Sujit Kumar Roy, et al.
Published: (2025)
by: Sujit Kumar Roy, et al.
Published: (2025)
TransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model
by: Hou, Changhong, et al.
Published: (2024)
by: Hou, Changhong, et al.
Published: (2024)
Similar Items
-
Geospatial foundation models for image analysis: evaluating and enhancing NASA-IBM Prithvi's domain adaptability
by: Hsu, Chia-Yu, et al.
Published: (2024) -
Geospatial Artificial Intelligence for Satellite-Based Flood Extent Mapping: Concepts, Advances, and Future Perspectives
by: Lee, Hyunho, et al.
Published: (2025) -
Assessment of a new GeoAI foundation model for flood inundation mapping
by: Li, Wenwen, et al.
Published: (2023) -
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping
by: Li, Wenwen, et al.
Published: (2024) -
Improving Interpretability of Deep Active Learning for Flood Inundation Mapping Through Class Ambiguity Indices Using Multi-spectral Satellite Imagery
by: Lee, Hyunho, et al.
Published: (2024)