Artificial Intelligence-Based Techniques for Rainfall Estimation Integrating Multisource Precipitation Datasets

Artificial Intelligence-Based Techniques for Rainfall Estimation Integrating Multisource Precipitation Datasets

This study presents a comprehensive investigation of multiple Artificial Intelligence (AI) techniques—decision tree, random forest, gradient boosting, and neural network—to generate improved precipitation estimates over the Upper Blue Nile Basin. All the AI methods merged multiple satellite and atmo...

Full description

Bibliographic Details
Main Authors: Raihan Sayeed Khan, Md Abul Ehsan Bhuiyan
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Atmosphere
Subjects:
remote sensing
machine learning
artificial intelligence
satellite observations
error analysis
statistical techniques
Online Access:https://www.mdpi.com/2073-4433/12/10/1239

Internet

https://www.mdpi.com/2073-4433/12/10/1239

Similar Items