Geospatial Artificial Intelligence (GeoAI) in the Integrated Hydrological and Fluvial Systems Modeling: Review of Current Applications and Trends

This paper reviews the current GeoAI and machine learning applications in hydrological and hydraulic modeling, hydrological optimization problems, water quality modeling, and fluvial geomorphic and morphodynamic mapping. GeoAI effectively harnesses the vast amount of spatial and non-spatial data col...

Full description

Saved in:

Bibliographic Details
Published in:	Water (Basel) Vol. 14; no. 14; p. 2211
Main Authors:	Gonzales-Inca, Carlos, Calle, Mikel, Croghan, Danny, Torabi Haghighi, Ali, Marttila, Hannu, Silander, Jari, Alho, Petteri
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.07.2022
Subjects:	Artificial intelligence Classification Clustering Cognition & reasoning Data compression Deep learning Geomorphology Hydraulics Hydrology Keywords Machine learning Neural networks Optimization algorithms prediction Remote sensing Spatial data Trends water Water quality Finland
ISSN:	2073-4441, 2073-4441
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!