2 datasets found

Groups: Mozambique INSPIRE Themes: http://inspire.ec.europa.eu/theme/hy

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  • Landslide Susceptibility and Exposure Assesment — Chimanimani and Chipinge...

    This dataset contains layers for manuscript 'Capturing the complete landslide–debris-rich flood continuum for accurate inventory, susceptibility and exposure mapping – lessons...

    This dataset contains layers for manuscript 'Capturing the complete landslide–debris-rich flood continuum for accurate inventory, susceptibility and exposure mapping – lessons from Cyclone Idai'. They provide a comprehensive analysis of impact, susceptibility and exposure to landslide and associated debris-rich floods in the Chimanimani and Chipinge districts, Zimbabwe. This work was carried out within the framework of the UNESCO project BE-RESILIENT Zimbabwe, funded by the World Bank and managed by the UNOPS Zimbabwe Idai Recovery Project. We also acknowledge support from BELSPO STEREO-IV LACTOSE project. The authors thank the local authorities who facilitated data collection and fieldwork in eastern Zimbabwe.

  • Showcase - Be-Resilient Citizen Science Water Quality Data (South Africa)

    This dataset contains citizen science water quality measurements collected under the Be-Resilient initiative of the UNESCO Intergovernmental Hydrological Programme (IHP). Data...

    This dataset contains citizen science water quality measurements collected under the Be-Resilient initiative of the UNESCO Intergovernmental Hydrological Programme (IHP). Data were gathered across multiple Biosphere Reserves in South Africa as part of ongoing efforts to enhance community-based monitoring and local resilience to hydroclimatic risks.

    The dataset includes in-situ observations of key water quality parameters, such as pH, electrical conductivity, turbidity, dissolved oxygen, and temperature, each accompanied by localized timestamps and contextual metadata. Measurements were obtained by trained citizen scientists and local volunteers, following standardized protocols designed to ensure comparability across sites and over time.

    Individual identifiers have been removed to protect the privacy of participants. The dataset serves as an open, quality-controlled source for hydrological and environmental analyses, education, and early-warning applications. It contributes to the broader Be-Resilient programme objective of promoting citizen and open science approaches for climate adaptation, data democratization, and the co-production of water knowledge in vulnerable and data-scarce regions.