TY  - JOUR
AU  - Gonzales Inca, Carlos
AU  - Calle Navarro, Mikel
AU  - Croghan, Danny
AU  - Torabi Haghighi, Ali
AU  - Marttila, Hannu
AU  - Silander, Jari
AU  - Alho, Petteri
PY  - 2022
DO  - 10.3390/w14142211
UR  - https://hdl.handle.net/20.500.14352/133743
T2  - Water (Switzerland)
AB  - 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...
LA  - eng
PB  - MDPI
KW  - GeoAI
KW  - Artificial intelligence
KW  - Machine learning
KW  - Hydrological
KW  - Hydraulic
KW  - Fluvial
KW  - Water quality
KW  - Geomorphic
KW  - Modeling
TI  - Geospatial artificial intelligence (GeoAI) in the integrated hydrological and fluvial systems modeling: review of current applications and trends
TY  - journal article
VL  - 14
ER  -