GIS and mapping

Researchers surveyed over 700 UK residents in a nationwide study to understand how access to flood prediction maps, which indicate the relative risk of flooding for areas based on factors like sea-level rise affected their housing preferences.

This study uses the 2024 Guilin flood event as a case study, integrating SBAS-InSAR, DInSAR techniques, and various machine learning methods to explore the complex interactions between surface deformation, soil characteristics, and flooding.

This study analyses the 2025 Dingri earthquake and its implications for active fault mapping and disaster mitigation.

Google is rolling out new advanced features for flood experts in Flood Hub, including an inundation history map and basin view, and partnering with international aid organizations.

The study adopts a multi-hazard assessment approach for telecommunications and its interconnected infrastructure systems across various geographies vis-avis mountains, plains and coasts.

This paper presents a method for rapid evaluation of direct flood damage using Google Earth Engine (GEE) for swift action in flood-related disaster response, recovery, and reconstruction.

The impacts of climate change are escalating, compounded by urban expansion into fire-prone areas. Eight cutting-edge technologies have the potential to revolutionize wildfire risk reduction strategies.

This study utilizes levelling, global navigation satellite system (GNSS), and interferometric synthetic aperture radar (InSAR) observation data to analyze land subsidence in the Choushui River alluvial fan in Taiwan.