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] Assessment of Rooftop Photovoltaic Potential Considering Building Functions

Z Zhang, Y Pu, Z Sun, Z Qian, M Chen - Remote Sensing, 2024‏ - mdpi.com
Urban expansion and fossil fuel dependence have led to energy and environmental
concerns, highlighting the need for sustainable solutions. Rooftop photovoltaic (RPV) …

Lhrs-bot-nova: Improved multimodal large language model for remote sensing vision-language interpretation

Z Li, D Muhtar, F Gu, X Zhang, P **ao, G He… - arxiv preprint arxiv …, 2024‏ - arxiv.org
Automatically and rapidly understanding Earth's surface is fundamental to our grasp of the
living environment and informed decision-making. This underscores the need for a unified …

Investigating multitype drought propagation thresholds across the different climate regions of China

Y Ding, L Li, J Du, Z Zhou, S Liu, W Chen, X Wang… - Atmospheric …, 2025‏ - Elsevier
Drought is a common and severe natural hazard worldwide. Understanding its triggering
mechanisms is pivotal for comprehending its propagation. However, the triggering …

[HTML][HTML] Enhanced Hybrid U-Net Framework for Sophisticated Building Automation Extraction Utilizing Decay Matrix

T Wang, Z Gong, A Tang, Q Zhang, Y Ge - Buildings, 2024‏ - mdpi.com
Automatically extracting buildings from remote sensing imagery using deep learning
techniques has become essential for various real-world applications. However, mainstream …