Support system for local water planning: flood detections using remote sensing in Honduras

This dataset contains spatial surfaces with the number of flooding events detected per year using satellite imagery in Honduras between 2017 and 2022. In addition, the accumulated annual flood events detected for the analyzed six-year period is also published. They are classified into the following...

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Autores principales: Pérez Escobar, Jorge Andres, Paz Garcia, Paula, Tello Dagua, Jhon Jairo, Reymondin, Louis
Formato: Conjunto de datos
Publicado: 2022
Acceso en línea:https://hdl.handle.net/10568/128406
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author Pérez Escobar, Jorge Andres
Paz Garcia, Paula
Tello Dagua, Jhon Jairo
Reymondin, Louis
author_browse Paz Garcia, Paula
Pérez Escobar, Jorge Andres
Reymondin, Louis
Tello Dagua, Jhon Jairo
author_facet Pérez Escobar, Jorge Andres
Paz Garcia, Paula
Tello Dagua, Jhon Jairo
Reymondin, Louis
author_sort Pérez Escobar, Jorge Andres
collection Repository of Agricultural Research Outputs (CGSpace)
description This dataset contains spatial surfaces with the number of flooding events detected per year using satellite imagery in Honduras between 2017 and 2022. In addition, the accumulated annual flood events detected for the analyzed six-year period is also published. They are classified into the following three (3) classes according to the number of events detected: 1: one flood event, 2: two flood events, and 3: three or more flood events. The data was elaborated under the project named ‘Water Management Activity: Appropriation of the “Agua de Honduras” platform by local and national stakeholders to improve country capacities in water resource planning in Honduras’, an initiative funded by the United States Agency for International Development (USAID).
format Conjunto de datos
id CGSpace128406
institution CGIAR Consortium
publishDate 2022
publishDateRange 2022
publishDateSort 2022
record_format dspace
spelling CGSpace1284062025-09-08T09:09:18Z Support system for local water planning: flood detections using remote sensing in Honduras Pérez Escobar, Jorge Andres Paz Garcia, Paula Tello Dagua, Jhon Jairo Reymondin, Louis This dataset contains spatial surfaces with the number of flooding events detected per year using satellite imagery in Honduras between 2017 and 2022. In addition, the accumulated annual flood events detected for the analyzed six-year period is also published. They are classified into the following three (3) classes according to the number of events detected: 1: one flood event, 2: two flood events, and 3: three or more flood events. The data was elaborated under the project named ‘Water Management Activity: Appropriation of the “Agua de Honduras” platform by local and national stakeholders to improve country capacities in water resource planning in Honduras’, an initiative funded by the United States Agency for International Development (USAID). 2022-09 2023-02-02T14:22:21Z 2023-02-02T14:22:21Z Dataset https://hdl.handle.net/10568/128406 Open Access Perez Escobar, Jorge Andres; Paz Garcia, Paula; Tello Dagua, Jhon Jairo; Reymondin, Louis, 2022, "Support system for local water planning: flood detections using remote sensing in Honduras", https://doi.org/10.7910/DVN/UKW0QT, Harvard Dataverse, V2
spellingShingle Pérez Escobar, Jorge Andres
Paz Garcia, Paula
Tello Dagua, Jhon Jairo
Reymondin, Louis
Support system for local water planning: flood detections using remote sensing in Honduras
title Support system for local water planning: flood detections using remote sensing in Honduras
title_full Support system for local water planning: flood detections using remote sensing in Honduras
title_fullStr Support system for local water planning: flood detections using remote sensing in Honduras
title_full_unstemmed Support system for local water planning: flood detections using remote sensing in Honduras
title_short Support system for local water planning: flood detections using remote sensing in Honduras
title_sort support system for local water planning flood detections using remote sensing in honduras
url https://hdl.handle.net/10568/128406
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