A validated geospatial model approach for monitoring progress of the Sendai Framework: The example of people affected in agriculture due to flooding in Ecuador
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 ca...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-10-01
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| Series: | Progress in Disaster Science |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590061722000205 |
| _version_ | 1811279502178779136 |
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| author | J. Manuel Urrutia, II Konstantin Scheffczyk Guido Riembauer Jhoyzett Mendoza Darwin Yanez Stalin Jímenez Antonio Ramírez Marlon Acosta Jenny Argüello Brenda Huerta Markus Neteler Yvonne Walz |
| author_facet | J. Manuel Urrutia, II Konstantin Scheffczyk Guido Riembauer Jhoyzett Mendoza Darwin Yanez Stalin Jímenez Antonio Ramírez Marlon Acosta Jenny Argüello Brenda Huerta Markus Neteler Yvonne Walz |
| author_sort | J. Manuel Urrutia, II |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T00:55:54Z |
| format | Article |
| id | doaj.art-c7b04264e1fc48ce8cf52666767d3649 |
| institution | Directory Open Access Journal |
| issn | 2590-0617 |
| language | English |
| last_indexed | 2024-04-13T00:55:54Z |
| publishDate | 2022-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Progress in Disaster Science |
| spelling | doaj.art-c7b04264e1fc48ce8cf52666767d36492022-12-22T03:09:40ZengElsevierProgress in Disaster Science2590-06172022-10-0115100233A validated geospatial model approach for monitoring progress of the Sendai Framework: The example of people affected in agriculture due to flooding in EcuadorJ. Manuel Urrutia, II0Konstantin Scheffczyk1Guido Riembauer2Jhoyzett Mendoza3Darwin Yanez4Stalin Jímenez5Antonio Ramírez6Marlon Acosta7Jenny Argüello8Brenda Huerta9Markus Neteler10Yvonne Walz11United Nations University, Institute for Environment and Human Security (UNU-EHS), Bonn, Germany; Corresponding author at: UN Campus, Platz der Vereinten Nationen 1, 53113 Bonn, Germany.United Nations University, Institute for Environment and Human Security (UNU-EHS), Bonn, Germanymundialis GmbH & Co. KG, Bonn, GermanyEcuadorian National Service for Risk and Emergency Management (SNGRE), Samborondón, EcuadorEcuadorian National Service for Risk and Emergency Management (SNGRE), Samborondón, EcuadorEcuadorian National Service for Risk and Emergency Management (SNGRE), Samborondón, EcuadorEcuadorian National Service for Risk and Emergency Management (SNGRE), Samborondón, EcuadorEcuadorian Ministry for Agriculture (MAG), Quito, EcuadorEcuadorian National Institute for Statistics and Census (INEC), Quito, EcuadorUnited Nations University, Institute for Environment and Human Security (UNU-EHS), Bonn, Germanymundialis GmbH & Co. KG, Bonn, GermanyUnited Nations University, Institute for Environment and Human Security (UNU-EHS), Bonn, GermanyThe 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.http://www.sciencedirect.com/science/article/pii/S2590061722000205MonitoringSendai FrameworkAffected peopleDisaster Risk ReductionFloodEcuador |
| spellingShingle | J. Manuel Urrutia, II Konstantin Scheffczyk Guido Riembauer Jhoyzett Mendoza Darwin Yanez Stalin Jímenez Antonio Ramírez Marlon Acosta Jenny Argüello Brenda Huerta Markus Neteler Yvonne Walz A validated geospatial model approach for monitoring progress of the Sendai Framework: The example of people affected in agriculture due to flooding in Ecuador Progress in Disaster Science Monitoring Sendai Framework Affected people Disaster Risk Reduction Flood Ecuador |
| title | A validated geospatial model approach for monitoring progress of the Sendai Framework: The example of people affected in agriculture due to flooding in Ecuador |
| title_full | A validated geospatial model approach for monitoring progress of the Sendai Framework: The example of people affected in agriculture due to flooding in Ecuador |
| title_fullStr | A validated geospatial model approach for monitoring progress of the Sendai Framework: The example of people affected in agriculture due to flooding in Ecuador |
| title_full_unstemmed | A validated geospatial model approach for monitoring progress of the Sendai Framework: The example of people affected in agriculture due to flooding in Ecuador |
| title_short | A validated geospatial model approach for monitoring progress of the Sendai Framework: The example of people affected in agriculture due to flooding in Ecuador |
| title_sort | validated geospatial model approach for monitoring progress of the sendai framework the example of people affected in agriculture due to flooding in ecuador |
| topic | Monitoring Sendai Framework Affected people Disaster Risk Reduction Flood Ecuador |
| url | http://www.sciencedirect.com/science/article/pii/S2590061722000205 |
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