Results 61 to 70 of about 766 (173)

Challenges and opportunities in flood mapping and modeling of next-generation geospatial intelligence: a review

open access: yesGeomatics, Natural Hazards & Risk
Floods cause severe global damage, demanding smarter, data-driven solutions. Geospatial Artificial Intelligence (GeoAI) integrated with Generative Pre-trained Transformers (GPT) is advancing flood disaster management through intelligent automation, data ...
Mahdieh Shirmohammadi   +7 more
doaj   +1 more source

Building Damage Assessment in Aftermath of Disaster Events by Leveraging Geoai (Geospatial Artificial Intelligence): Review

open access: yesWorld Journal of Advanced Research and Reviews
While traditional approaches to building damage assessment in the aftermath of natural disasters have relied heavily on time-intensive and costly manual techniques, recent advances in geospatial artificial intelligence (GeoAI) have opened up new possibilities for automating and scaling up this crucial process.
Taiwo H. Agbaje   +4 more
openaire   +2 more sources

The Non‐Linear Effects of Urban Green Space on Promoting Physical Activity of Old Adults at Different Obesity Status in Semi‐Arid Area: A Case Study of Lanzhou, China

open access: yesGeoHealth, Volume 9, Issue 5, May 2025.
Abstract A substantial body of research has linked the built environment to obesity risk in older adults, with physical activity reducing obesity risk. Most studies have focused on temperate and subtropical regions; however, results can vary due to different climate characteristics.
Hualong Qiu, Haoran Tang, Yiyang Yang
wiley   +1 more source

A five-year milestone: reflections on advances and limitations in GeoAI research

open access: yesAnnals of GIS
The Annual Meeting of the American Association of Geographers (AAG) in 2023 marked a five-year milestone since the first Geospatial Artificial Intelligence (GeoAI) Symposium was held at AAG in 2018.
Yingjie Hu   +9 more
doaj   +1 more source

Assessment of IBM and NASA's geospatial foundation model in flood inundation mapping

open access: yes, 2023
Vision foundation models are a new frontier in GeoAI research because of their potential to enable powerful image analysis by learning and extracting important image features from vast amounts of geospatial data.
Arundel, Samantha T.   +4 more
core  

Rethinking GIScience Education in an Age of Disruptions

open access: yesTransactions in GIS, Volume 29, Issue 2, April 2025.
ABSTRACT GIS and GIScience education have continually evolved over the past three decades, responding to technological advances and societal issues. Today, the content and context in which GIScience is taught continue to be impacted by these disruptions, notably from technology through artificial intelligence (AI) and society through the myriad ...
Amy E. Frazier   +26 more
wiley   +1 more source

An Operational Ethical Framework for GeoAI: A PRISMA-Based Systematic Review of International Policy and Scholarly Literature

open access: yesISPRS International Journal of Geo-Information
This study proposes a systematic framework for establishing ethical guidelines for GeoAI (Geospatial Artificial Intelligence), which integrates AI with spatial data science, GIS, and remote sensing. While general AI ethics have advanced through the OECD,
Suhong Yoo
doaj   +1 more source

Seasonal Bird Migration Could Explain Regional Synchronicity and Amplification in Human West Nile Virus Case Numbers

open access: yesGeoHealth, Volume 9, Issue 3, March 2025.
Abstract West Nile virus (WNV) is a zoonotic virus with a mosquito‐avian transmission cycle having occasional spillover to mammals. A network analysis of annual log‐transformed WNV case numbers (2003–2022) generated four spatially and temporally coherent clusters among 48 U.S. states and six Canadian provinces.
Franklin W. Schwartz   +2 more
wiley   +1 more source

The role of open-source LLMs in shaping the future of GeoAI

open access: yesAnnals of GIS
Large Language Models (LLMs) are transforming geospatial artificial intelligence (GeoAI), offering new capabilities in data processing, spatial analysis and decision support.
Xiao Huang   +3 more
doaj   +1 more source

Satellite Image Spoofing: Creating Remote Sensing Dataset with Generative Adversarial Networks (Short Paper) [PDF]

open access: yes, 2018
The rise of Artificial Intelligence (AI) has brought up both opportunities and challenges for today\u27s evolving GIScience. Its ability in image classification, object detection and feature extraction has been frequently praised.
Xu, Chunxue, Zhao, Bo
core   +1 more source

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