Zobrazeno 1 - 10
of 389
pro vyhledávání: '"GeoAI"'
Publikováno v:
Computational Urban Science, Vol 4, Iss 1, Pp 1-19 (2024)
Abstract Information on the depth of floodwater is crucial for rapid mapping of areas affected by floods. However, previous approaches for estimating floodwater depth, including field surveys, remote sensing, and machine learning techniques, can be t
Externí odkaz:
https://doaj.org/article/19ef681ae74c4840aedb657e18b639fc
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104034- (2024)
The fusion of remote sensing and artificial intelligence, particularly deep learning, offers substantial opportunities for developing innovative methods in rapid disaster mapping and damage assessment. However, current models for wildfire burnt area
Externí odkaz:
https://doaj.org/article/f1273f6160ef470797f86c29fa014b21
Autor:
Lingbo Liu
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104036- (2024)
Analyzing spatially varying effects is pivotal in geographic analysis. However, accurately capturing and interpreting this variability is challenging due to the increasing complexity and non-linearity of geospatial data. Recent advancements in integr
Externí odkaz:
https://doaj.org/article/23558f0f700f4d2c9d5c90e4b72e1fb4
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103976- (2024)
Decision-makers in GIS often need to combine multiple spatial algorithms and operations to solve geospatial tasks. While professionals can understand and solve these tasks by using GIS tools sequentially, developing workflows for various tasks can be
Externí odkaz:
https://doaj.org/article/21c30cccd4d8411a9f5ca91e884ca1d8
Autor:
Mourtadha Sarhan Sachit, Helmi Zulhaidi Mohd Shafri, Ahmad Fikri Abdullah, Azmin Shakrine Mohd Rafie, Mohamed Barakat A Gibril
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 27, Iss 1, Pp 120-136 (2024)
The dual use of wind and solar energy holds great promise for low-cost and high-performance green infrastructure. However, for such hybrid systems to operate successfully, comprehensive and simultaneous dimensional planning is required, a goal that s
Externí odkaz:
https://doaj.org/article/2ab56f613f3942c098475603eb6b4a1c
Autor:
Yingjie Hu, Michael Goodchild, A-Xing Zhu, May Yuan, Orhun Aydin, Budhendra Bhaduri, Song Gao, Wenwen Li, Dalton Lunga, Shawn Newsam
Publikováno v:
Annals of GIS, Vol 30, Iss 1, Pp 1-14 (2024)
ABSTRACTThe 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. In the past five years, progress has been m
Externí odkaz:
https://doaj.org/article/f773a136d6da456f8ae996db85e3b4d8
Autor:
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Mohammadreza Jelokhani-Niaraki, Soo-Mi Choi
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
This study addresses the critical need for comprehensive multi-pollution modeling in urban environments by employing Geospatial Artificial Intelligence (GeoAI) techniques. Specifically, it aims to elucidate the variability of air and noise pollution
Externí odkaz:
https://doaj.org/article/31142cf90ba94692920d4aa6608ae5ca
Autor:
Haojian Liang, Shaohua Wang, Song Gao, Huilai Li, Cheng Su, Hao Lu, Xueyan Zhang, Xi Chen, Yinan Chen
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTConvex and concave hulls originating from computational geometry are widely applied in practice. For instance, to determine the boundaries of a geographical area within a group of cities, convex hulls can represent the approximate boundaries
Externí odkaz:
https://doaj.org/article/50a60509325e4a1cae4d81de9d9d916e
Autor:
David De Ridder, Anaïs Ladoy, Yangji Choi, Damien Jacot, Séverine Vuilleumier, Idris Guessous, Stéphane Joost, Gilbert Greub
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
IntroductionSince its emergence in late 2019, the SARS-CoV-2 virus has led to a global health crisis, affecting millions and reshaping societies and economies worldwide. Investigating the determinants of SARS-CoV-2 diffusion and their spatiotemporal
Externí odkaz:
https://doaj.org/article/bd4bdf08226a454bbf51c9b631228bab
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 130, Iss , Pp 103882- (2024)
Dynamic gridded population data are crucial in fields such as disaster reduction, public health, urban planning, and global change studies. Despite the use of multi-source geospatial data and advanced machine learning models, current frameworks for p
Externí odkaz:
https://doaj.org/article/1224197d31514213847139f1ad7eadee