Results 181 to 190 of about 1,791 (210)

GeoAI Agency Primitives

We present ongoing research on agency primitives for GeoAI assistants -- core capabilities that connect Foundation models to the artifact-centric, human-in-the-loop workflows where GIS practitioners actually work. Despite advances in satellite image captioning, visual question answering, and promptable segmentation, these capabilities have not ...
Zaytar, Akram, Sawahn, Rohan, Robinson, Caleb, Hacheme, Gilles Q., Tadesse, Girmaw A., Becker-Reshef, Inbal, Dodhia, Rahul, Ferres, Juan Lavista   +7 more
openaire   +1 more source

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

Water (Switzerland), 2022
Carlos Gonzales-Inca, Mikel Calle, Danny Croghan   +2 more
exaly  

Explainable GeoAI: can saliency maps help interpret artificial intelligence’s learning process? An empirical study on natural feature detection

International Journal of Geographical Information Science, 2023
Wenwen Li
exaly  

A review of location encoding for GeoAI: methods and applications

International Journal of Geographical Information Science, 2022
Gengchen Mai, Krzysztof Janowicz, Yingjie Hu   +2 more
exaly  

Assessing differences in safety perceptions using GeoAI and survey across neighbourhoods in Stockholm, Sweden

Landscape and Urban Planning, 2023
Yuhao Kang, Jonatan Abraham, Vania Ceccato   +2 more
exaly  

Towards GeoAI as a Containerized Microservice

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
openaire   +1 more source

GeoAI for Disaster Response

2023
Lei Zou, Ali Mostafavi, Bing Zhou, Binbin Lin, Debayan Mandal, Mingzheng Yang, Joynal Abedin, Heng Cai   +7 more
openaire   +1 more source

GeoAI in terrain analysis: Enabling multi-source deep learning and data fusion for natural feature detection

Computers, Environment and Urban Systems, 2021
Wenwen Li
exaly  

GeoImageNet: a multi-source natural feature benchmark dataset for GeoAI and supervised machine learning

GeoInformatica, 2022
Wenwen Li, Samantha T Arundel
exaly  

Reproducibility and Replicability in GeoAI

2023
Peter Kedron, Tyler D. Hoffman, Sarah Bardin   +2 more
openaire   +1 more source