Multivariate Time Series (MTS) analysis is crucial to understanding and managing complex
systems, such as traffic and energy systems, and a variety of approaches to MTS forecasting …

Solving geospatial tasks generally requires multiple geospatial tools and steps, ie, tool-use
chains. Automating the geospatial task solving process can effectively enhance the …

In recent years, significant advances in unmanned aerial vehicle (UAV) technology and
hyperspectral remote sensing have spurred rapid and innovative developments in UAV …

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 …

Ship detection needs to identify ship locations from remote sensing scenes. Due to different
imaging payloads, various appearances of ships, and complicated background interference …

Abstract On December 18, 2023, a destructive M S. 6.2 earthquake occurred in Jishishan
County, Gansu Province, China. The earthquake triggered a loess earthflow in Zhongchuan …

The Internet of Vehicles (IoV) significantly enhances the capabilities for road information
collection and processing by enabling real-time connectivity between vehicles …

Heavy metal natural background values play a crucial role in distinguishing anthropogenic
sources from natural sources to assess human impacts in polluted areas, thereby accurately …

Automatic crop interpretation can provide important reference information for national
agricultural decision-making. However, due to the diverse characteristics and complex …