Transboundary Nile basin dynamics: Land use change, drivers, and hydrological impacts under socioeconomic pathways

Omer, Abubaker; Yuan, Xing; Gemitzi, Alexandra

doi:10.1016/j.ecolind.2023.110414

Cited by 4 publications

(1 citation statement)

References 91 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The EU Floods Directive requires EU member states to take a number of measures to reduce the negative impacts of floods on human health, the environment, and economic activities, including the identification of areas at risk of flooding, the development of flood risk maps and management plans, and the implementation of flood risk reduction measures. Member states must also cooperate with each other on cross-border flood risks and take into account the potential impacts of climate change on flood risks (Omer et al, 2023). As climate change is expected to bring more frequent extreme precipitation events, floods are expected to pose a serious threat for human society and environment and within this context flood hazard mapping is of major importance for urban and spatial planning and land use management (Hosseini et al, 2020;Ran & Nedovic-Budic, 2019).…”

Section: Introductionmentioning

confidence: 99%

A constantly updated flood hazard assessment tool using satellite based high resolution land cover dataset within Google Earth Engine

Gemitzi,

Kopsidas,

Stefani

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

This work aims to develop a constantly updated flood hazard assessment tool that utilizes readily available datasets derived by remote sensing techniques. It is based on the recently released global land use/land cover (LULC) dataset Dynamic World, which is readily available as an open data source within Google Earth Engine platform. The tool is updated constantly following the release rate of Sentinel-2 images, i.e., every 2 to 5 days depending on the location and provides a near real time detection of flooded areas. Specifically, it identifies how many times each 10 m pixel is characterized as flooded for a selected time period. In order to investigate the fruitfulness of the proposed tool, we compared the outcome of the tool against the Regional Flood Hazard Maps developed in the frames of the EU Water Framework Directive, and we found several inconsistencies of the two approaches. Besides, a new metric is proposed, named Maximum Potential Economic Loss, in order to assess the socioeconomic implications of the flooding. The innovative character of the presented methodology consists of the use remotely sensed-based datasets, becoming available at increasing rates, for developing an operational instrument which defines and updates the flood hazard zones in real-time required.

show abstract

Section: Introductionmentioning

confidence: 99%