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...
- 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)