Results 61 to 70 of about 766 (173)
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
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
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
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
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
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
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
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
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]
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

