Multi-temporal flood mapping and farm flood prevention strategies in an agriculturally dominated watershed of Argentina

This study presents a semi-automated approach for mapping the extent and frequency of floods in agriculturally dominated river watersheds, using the Quequén Grande River watershed as a case study. By the combination of normalized difference indices computed from Landsat imagery and the application o...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Solana, María Ximena, Romanelli, Asunción, Quiroz Londoño, Orlando Mauricio
Formato: Artículo revista
Lenguaje:Inglés
Publicado: CURIHAM: Centro Universitario Rosario de Investigaciones Hidroambientales Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Universidad Nacional de Rosario Director: Dr. Ing. Hernán Stenta Riobamba 245 bis, 2000 Rosario (Santa Fe), Argentina. Telefa 2023
Materias:
Google Earth Engine
Imágenes Landsat
Índices Espectrales
Cartografía de inundaciones
Estrategias de Prevención a la Inundación
Landsat Imagery
Spectral Indices
Flood Mapping
Flood Prevention Strategies
Acceso en línea:https://cuadernosdelcuriham.unr.edu.ar/index.php/CURIHAM/article/view/229
Aporte de:
Cuadernos del CURIHAM de Universidad Nacional de Rosario
Descripción
Sumario:This study presents a semi-automated approach for mapping the extent and frequency of floods in agriculturally dominated river watersheds, using the Quequén Grande River watershed as a case study. By the combination of normalized difference indices computed from Landsat imagery and the application of Otsu’s thresholding method in Google Earth Engine (GEE) environment, two flood categories were defined: Open Flood Surfaces (OFS) and Flooded Vegetation (FV). The analysis of historical flood frequency allowed the proposal of flood prevention strategies to be implemented in each defined flood frequency class, which is essential for flood mitigation in agriculturally dominated river watersheds.

Ejemplares similares