Artificial intelligence and machine learning model for spatial and temporal prediction of drought events in the department of Magdalena, Colombia

Introduction— Drought is one of the most critical hydrometeorological phenomenon in terms of its impacts on society. Although Colombia is a tropical country, there are areas of the territory which have periods of drought, and this causes significant economic damage. Objective— Due to recent advances...

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Autores:
Herrera Posada, Daissy Milenys
Aristizábal, Edier
Tipo de recurso:
Article of journal
Fecha de publicación:
2022
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/10017
Acceso en línea:
https://hdl.handle.net/11323/10017
https://repositorio.cuc.edu.co/
Palabra clave:
Drought forecasting
Standardized precipitation index
Satellite imagery
Google Earth Engine
Machine learning
Random forest
Decision tree classifier
Spatial interpolation
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)