Artificial intelligence for geoscience: Progress, challenges and perspectives

T Zhao, S Wang, C Ouyang, M Chen, C Liu, J Zhang… - The Innovation, 2024 - cell.com
This paper explores the evolution of geoscientific inquiry, tracing the progression from
traditional physics-based models to modern data-driven approaches facilitated by significant …

[HTML][HTML] Deep learning for urban land use category classification: A review and experimental assessment

Z Li, B Chen, S Wu, M Su, JM Chen, B Xu - Remote Sensing of …, 2024 - Elsevier
Map** the distribution, pattern, and composition of urban land use categories plays a
valuable role in understanding urban environmental dynamics and facilitating sustainable …

Collaboration between artificial intelligence and Earth science communities for mutual benefit

M Chen, Z Qian, N Boers, F Creutzig… - nature …, 2024 - nature.com
Collaboration between artificial intelligence and Earth science communities for mutual benefit |
Nature Geoscience Skip to main content Thank you for visiting nature.com. You are using a …

Knowledge co-creation during urban simulation computation to enable broader participation

Z Ma, H Li, K Zhang, J Wang, S Yue, Y Wen… - Sustainable Cities and …, 2025 - Elsevier
Preparing knowledge on urban simulation computation is necessary to help participants
build consensus, reduce expertise gaps, and guide participatory sustainable urban …

Simulation-driven strategies for enhancing water treatment processes in chemical engineering: addressing environmental challenges

NC Obiuto, N Ninduwezuor-Ehiobu, EC Ani… - Engineering Science & …, 2024 - fepbl.com
Water treatment processes in chemical engineering play a critical role in addressing
environmental challenges and ensuring the sustainability of water resources. This paper …

Inversion of soil organic carbon content based on the two-point machine learning method

C Wang, B Gao, K Yang, Y Wang, C Sukhbaatar… - Science of the Total …, 2024 - Elsevier
Soil organic carbon (SOC) is vital for the global carbon cycle and environmentally
sustainable development. Meanwhile, the fast, convenient remote sensing technology has …

Boundary delineator for martian crater instances with geographic information and deep learning

D Liu, W Cheng, Z Qian, J Deng, J Liu, X Wang - Remote Sensing, 2023 - mdpi.com
Detecting impact craters on the Martian surface is a critical component of studying Martian
geomorphology and planetary evolution. Accurately determining impact crater boundaries …

Promoting forest landscape dynamic prediction with an online collaborative strategy

Z Ma, C Wu, M Chen, H Li, J Lin, Z Zheng, S Yue… - Journal of …, 2024 - Elsevier
Modeling and predicting forest landscape dynamics are crucial for forest management and
policy making, especially under the context of climate change and increased severities of …

Exploring geospatial digital twins: a novel panorama-based method with enhanced representation of virtual geographic scenes in Virtual Reality (VR)

J Zhang, J Zhu, Y Zhou, Q Zhu, J Wu… - International Journal …, 2024 - Taylor & Francis
An important step in implementing geospatial digital twins is to enhance the expressiveness
of virtual geographical scenes for the physical world. However, the existing virtual …

[HTML][HTML] Reproducing computational processes in service-based geo-simulation experiments

Z Zhu, M Chen, L Sun, Z Qian, Y He, Z Ma… - International Journal of …, 2023 - Elsevier
Geo-simulation experiments (GSEs) are experiments allowing the simulation and
exploration of Earth's surface (such as hydrological, geomorphological, atmospheric …