3 citations · 3 across the 3 of their papers we have counts for
4 papers
FL-MHSM: Spatially-adaptive Fusion and Ensemble Learning for Flood-Landslide Multi-Hazard Susceptibility Mapping at Regional Scale
Aswathi Mundayatt, Jaya Sreevalsan-Nair
Existing multi-hazard susceptibility mapping (MHSM) studies often rely on spatially uniform models, treat hazards independently, and provide limited representation of cross-hazard…
CityAQVis: Integrated ML-Visualization Sandbox Tool for Pollutant Estimation in Urban Regions Using Multi-Source Data (Software Article)
Brij Bidhin Desai, Yukta Arvind Rajapur, Aswathi Mundayatt +1
Urban air pollution poses significant risks to public health, environmental sustainability, and policy planning. Effective air quality management requires predictive tools that can…
Evolution of Data-driven Single- and Multi-Hazard Susceptibility Mapping and Emergence of Deep Learning Methods
Jaya Sreevalsan-Nair, Aswathi Mundayatt
Data-driven susceptibility mapping of natural hazards has harnessed the advances in classification methods used on heterogeneous sources represented as raster images. Susceptibilit…
CCESAR: Coastline Classification-Extraction From SAR Images Using CNN-U-Net Combination
Vidhu Arora, Shreyan Gupta, Ananthakrishna Kudupu +3
In this article, we improve the deep learning solution for coastline extraction from Synthetic Aperture Radar (SAR) images by proposing a two-stage model involving image classifica…