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ISPRS International Journal of Geo-Information, Volume 14, Issue 8

August 2025 - 39 articles

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Cover Story: In this study, we propose the Multi-Channel Spatio-Temporal Data Fusion (MCST-DF) framework, designed to integrate heterogeneous “big” and “small” data sources across complex road networks. Leveraging a novel Residual Spatio-Temporal Transformer Network (RSTTNet), our method captures both fine-grained local dynamics and global spatio-temporal patterns. By introducing multi-scale temporal channels and hierarchical spatial modelling, the framework effectively addresses challenges of data mismatch, sparsity, and heterogeneity. Evaluated on London traffic flow data, our approach achieves over 89% prediction accuracy and outperforms several strong baselines. This work contributes a generalisable solution to spatio-temporal data fusion, with wide implications for urban mobility, infrastructure monitoring, and geospatial AI systems. View this paper

Articles (39)

  • Article
  • Open Access
743 Views
19 Pages

The Third Pole region, particularly the Hindu–Kush–Himalaya (HKH), is highly prone to lightning, causing thousands of fatalities annually. Skillful prediction and timely communication are essential for mitigating lightning-related losses...

  • Article
  • Open Access
954 Views
21 Pages

This paper explores the integration of digital twin technologies and big data in the metaverse to improve urban traffic management. It highlights the importance of technology in mirroring and augmenting our physical and virtual worlds. This study exa...

  • Article
  • Open Access
642 Views
24 Pages

Copyright Protection and Trusted Transactions for 3D Models Based on Smart Contracts and Zero-Watermarking

  • Ruigang Nan,
  • Liming Zhang,
  • Jianing Xie,
  • Yan Jin,
  • Tao Tan,
  • Shuaikang Liu and
  • Haoran Wang

With the widespread application of 3D models derived from oblique photography, the need for copyright protection and trusted transactions has risen significantly. Traditional transactions often depend on third parties, making it difficult to balance...

  • Article
  • Open Access
876 Views
18 Pages

This study examined the role of Geographic Information Systems (GIS) in municipal responses to the COVID-19 pandemic in Israel. A structured survey of officials from 130 municipalities was conducted, with a focus on the 87 municipalities that utilize...

  • Article
  • Open Access
1 Citations
689 Views
22 Pages

Towards Transparent Urban Perception: A Concept-Driven Framework with Visual Foundation Models

  • Yixin Yu,
  • Zepeng Yu,
  • Xuhua Shi,
  • Ran Wan,
  • Bowen Wang and
  • Jiaxin Zhang

Understanding urban visual perception is crucial for modeling how individuals cognitively and emotionally interact with the built environment. However, traditional survey-based approaches are limited in scalability and often fail to generalize across...

  • Article
  • Open Access
1,948 Views
21 Pages

This study investigates the potential of fine-tuned large language models (LLMs) to enhance geospatial intelligence by translating natural language queries into executable Python code. Traditional GIS workflows, while effective, often lack usability...

  • Article
  • Open Access
1,703 Views
13 Pages

Geospatial Artificial Intelligence (GeoAI) has been advancing and altering geographic information systems and Earth observation by enhancing the computation and understanding capabilities of these systems. In this context, the application of GeoAI in...

  • Article
  • Open Access
1,071 Views
21 Pages

Tea is a prominent cash crop in global agriculture, and it is Sri Lanka’s top agricultural export known as ‘Ceylon Tea,’ employing nearly one million people, with land covering an area of 267,000 ha. However, over the past decade, m...

  • Article
  • Open Access
757 Views
21 Pages

A Pyramid Convolution-Based Scene Coordinate Regression Network for AR-GIS

  • Haobo Xu,
  • Chao Zhu,
  • Yilong Wang,
  • Huachen Zhu and
  • Wei Ma

Camera tracking plays a pivotal role in augmented reality geographic information systems (AR-GIS) and location-based services (LBS), serving as a crucial component for accurate spatial awareness and navigation. Current learning-based camera tracking...

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