A validated geospatial model approach for monitoring progress of the Sendai Framework: The example of people affected in agriculture due to flooding in Ecuador. (October 2022)

• Record Type: Journal Article
• Authors: Urrutia, J. Manuel; Scheffczyk, Konstantin; Riembauer, Guido; Mendoza, Jhoyzett; Yanez, Darwin; Jímenez, Stalin; Ramírez, Antonio; Acosta, Marlon; Argüello, Jenny; Huerta, Brenda; Neteler, Markus; Walz, Yvonne
• Is Part Of: Progress in disaster science. Volume 15(2022)
• Publication Date: 2022-10
• Subjects: Monitoring -- Sendai Framework -- Affected people -- Disaster Risk Reduction -- Flood -- Ecuador; DEM Digital Elevation Model -- DRR Disaster Risk Reduction -- EMS Copernicus Emergency Management Service -- GAD Decentralized Autonomous Government -- HAND Height Above Nearest Drainage -- INEC Ecuadorian National Institute of Statistics and Census -- MAG Ecuadorian Ministry of Agriculture -- MOD-X Model X -- OIEWG-DRR Open-ended Intergovernmental Expert Working Group on indicators and terminology relating to Disaster Risk Reduction -- REF Reference Value -- SAR Synthetic Aperture Radar -- SFDRR Sendai Framework for Disaster Risk Reduction -- SNGRE National Service for Risk and Emergency Management of the Government of Ecuador -- UNDP United Nations Development Program -- UNDRR United Nations Office for Disaster Risk Reduction -- VALE Development and Validation of Earth Observation-Based Indicators for the Monitoring of the Sendai Framework Using the Example of Flooding in Ecuador -- EO Earth Observation; Disasters -- Periodicals; Disaster relief -- Planning -- Periodicals; Emergency management -- Periodicals; 363.3405
• DOI: 10.1016/j.pdisas.2022.100233
• Languages: English
• ISSNs: 2590-0617

Abstract

Abstract: The lack of data on disaster-related loss and damage, especially in developing countries, obstructs the implementation of the Sendai Framework for Disaster Risk Reduction (SFDRR). This weakens the accuracy, timeliness, and quality of the SFDRR monitoring process at the national level. This is the case for the country of Ecuador, who has not reported on the progress of SFDRR Target B, indicator B-5a, the number of workers in agriculture with crops damaged or destroyed. Consequently, this research developed a geospatial model approach to model indicator B-5a in the context of flooding. The model uses Sentinel-1 synthetic aperture radar and other spatial data to quantify indicator B-5a at a cantonal spatial level across three ecological regions in Ecuador. The results of the model were validated against country provided in-situ measured loss and damage reference data by combining elements of flood exposure and vulnerability. A statistical analysis was used to assess the agreement of the models with reference data and the models' ability to reproduce the reference data. The validation procedure produced models that had high agreement with the reference data, but the models were sensitive to the different ecological regions. This validated geospatial model approach is, to the best of the authors' knowledge, the first attempt to validate geospatially measured Sendai indicators against reference data, and provides an opportunity to support countries without information on disaster-related loss and damage in monitoring indicator B-5a of the SFDRR. Graphical abstract: Unlabelled Image Highlights: Sentinel-1 based flood hazard assessment aggregated per year. Geospatial model approach to quantify indicator B-5a of the Sendai Framework. Model applied to different ecological regions in Ecuador. Validation of geospatial model approach against in-situ reference data.