Results 131 to 140 of about 30,221 (232)

Towards a foundation model for geospatial artificial intelligence (vision paper)

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
Gengchen Mai, Chris Cundy, Kristy Choi, Yingjie Hu, Ni Lao, Stefano Ermon   +5 more
openaire   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, Volume 43, Issue 3, Page 2254-2341, May 2026.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

Observation and Coordination Needs for Current, Near‐Future, and Next Generation Earth‐Observing SAR Systems

Earth and Space Science, Volume 13, Issue 5, May 2026.
Abstract This paper summarizes an evaluation by experts of how coordination of Earth‐observing Synthetic Aperture Radar (SAR) missions among the world's space agencies could advance toward game‐changing scientific discoveries and fully realizing SAR's practical capability to address many issues facing society.
Cathleen E. Jones, Ake Rosenqvist, Björn Rommen, Magdalena Fitrzyk, Eric Rignot, Bernd Scheuchl, Yujie Zheng, Andrew Hooper, Mark Simons, Tomokazu Kobayashi, Paul Siqueira, Maurizio Santoro, Takeo Tadono, Laura Hess, Heather McNairn, Laura Frulla, Malin Johansson, Wolfgang Dierking, Line Rouyet, Annett Bartsch, Paco Lopez Dekker, Johnny A. Johannessen   +21 more
wiley   +1 more source

Fusing Multi‐ and Hyperspectral Satellite Data for Harmful Algal Bloom Monitoring With Self‐Supervised and Hierarchical Deep Learning

Earth and Space Science, Volume 13, Issue 5, May 2026.
Abstract We present a self‐supervised machine learning framework for detecting and mapping the severity and speciation of harmful algal blooms (HABs) using multi‐sensor satellite data. By fusing reflectance data from operational polar‐orbiting satellite‐based instruments (VIIRS, MODIS, OLCI, and OCI) with TROPOMI solar‐induced fluorescence (SIF), our ...
Nicholas J. LaHaye, Kelly M. Luis, Michelle M. Gierach   +2 more
wiley   +1 more source

Towards an AI Cube for EO data inference in a distributed infrastructure

Big Earth Data
Geospatial data cubes show great promise to facilitate integrated and efficient analysis of big Earth Observation (EO) data. Existing geospatial data cube processing focuses more on traditional geoprocessing algorithms. It is still unknown how to enhance
Peng Yue, Kaixuan Wang
doaj   +1 more source

Background Atmospheric CO2 Regulates the Local and Non‐Local Climate Impacts of Amazon Deforestation

Earth's Future, Volume 14, Issue 5, May 2026.
Abstract Amazon deforestation has substantial impacts on the local and regional climate system, yet the extent to which future atmospheric CO2 trajectories modulate these impacts remains unclear. Here, we assess the climatic impacts of Amazon deforestation under contrasting atmospheric CO2 scenarios using the Community Earth System Model version 2 ...
Danbi Lee, Jae‐Heung Park, Jinling Piao, Jong‐Seong Kug   +3 more
wiley   +1 more source

Work–Residence Mismatch Drives Air Pollution Disparities Across Urban–Rural China

Earth's Future, Volume 14, Issue 5, May 2026.
Abstract Across the globe, spatial mismatches between work and residence reshape human mobility and influence regional air quality, yet their effects across urban–rural systems remain poorly quantified. China's ongoing urbanization and rural revitalization underscore the urgent need to understand these dynamics. Here, using multi‐source geospatial data,
Xin Chen, Le Yu, Yaoyao Li, Xiaoling Zhang, Tao Liu, Zhenrong Du, Jing Wei, Yuan Qi, Ke Rong, Chuanglin Fang, Jianguo Liu   +10 more
wiley   +1 more source

From Rainfall to Rumors: Interpreting the 2024 Bangladesh Floods Through Numbers, Narratives, and Information Gaps

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract When severe floods struck southeastern Bangladesh in August 2024, competing explanations emerged. Meteorological analysis revealed that extreme precipitation was exacerbated by the Madden‐Julian Oscillation and jet stream dynamics. However, alternative narratives proliferated on social media, particularly claims that India deliberately ...
P. Das, A. R. Ganguly, N. Rabb, K. Smith, S. Islam   +4 more
wiley   +1 more source

Emerging trends in geospatial artificial intelligence (geoAI): potential applications for environmental epidemiology. [PDF]

Environ Health, 2018
VoPham T, Hart JE, Laden F, Chiang YY.
europepmc   +1 more source

Leveraging the TabPFN Algorithm for High‐Resolution Mapping of Groundwater Bicarbonate and Its Scaling Risk Across China

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Large‐scale groundwater quality prediction is often constrained by sparse sampling, limiting the reliability of spatial assessments. This study introduces Tabular Prior‐data Fitted Network (TabPFN), a machine learning model based on prior‐fitting networks, to address this challenge and enable high‐precision mapping of groundwater bicarbonate ...
Tong Sun, Fubin Zhang, Li He, Yanan Tian, Yao Wang, Haochuan Guo, Xiao Liu, Mengxi He, Quanzhou Li   +8 more
wiley   +1 more source