GIS and mapping

This study develops a Spatial Footprint Impact Assessment framework (SFIA), which is applied to the Three Gorges Project (TGP), evaluating the spatial heterogeneity of indirect flood-retention benefits induced by the TGP across 31 provinces in China.

In Iraq, moderate storms become disasters because flood risk is shaped as much by urbanization, degraded ecosystems, and weak governance as by rainfall intensity itself.

This paper presents a generative-AI–assisted, open-source framework designed to democratize access to complex climate data and strengthen public climate literacy, using Kolkata as a case study.

This study outlines a comprehensive, data‑driven strategy for reducing coastal disaster risk in Kuala Nerus and Kuala Terengganu, Malaysia, where communities face increasing exposure to erosion, flooding, sea‑level rise and climate‑related hazards.

Geographic information system (GIS) maps help researchers, policymakers, and community members see how environmental risks are spread throughout a given region.

This study presents a large-scale screening method using GIS techniques and remotely sensed data to assess the overtopping potential of RWCs.

This study focuses on the identification of optimal safe assembly areas in the case of urban flash floods using Geographic Information System (GIS) and machine learning techniques.

New mapping tool helps communities anticipate sea‑level rise by showing where salt marshes will migrate, guiding smarter development, conservation, and resilience planning. Built collaboratively, it offers a model other coastal states can replicate.