Documents and publications

This study leverages remote sensing and machine learning to classify building age and integrate this information into a comprehensive flood hazard map for Al Ain City.

This report sets out key principles and five tests that can help ensure the New Collective Quantified Goal (NCQG) is robust, all of which are underpinned by a core principle of fairness.

Taking Xun County of China’s Henan Province as the study area, the paper aims to evaluate rural community resilience to flood by unveiling the connection between individuals’ cognition, follow-up actions and the community resilience.

The aim of this study is to discover how men’s first reflex behaviors during earthquakes and how their coping strategies were shaped after earthquakes in Türkiye.

This study carried out flood vulnerability assessment (FVA) using quantitative methods by utilising MCA, ANN (machine learning) and multiple logistical regression.

This report focuses on climate change indicators and impacts in 2023 in Africa – globally the hottest year on record.

This model is organized into 7 dimensions and consists of 50 indicators. It assesses the level of maturity of the system across 5 different levels.

This paper combines predictions of agricultural suitability under different climate change scenarios with timber-production maps to show that 240–320 Mha (20–26%) of current forestry land will become more suitable for agriculture by 2100.