Journal Report

Geo-Spatial Information Science

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Journal Information
Journal Title
Geo-Spatial Information Science
Publisher
Taylor and Francis Ltd.
ISSN
1009-5020
E-ISSN
Database
SCOPUS
Domain
Physical Sciences, Social Sciences
Classification History
Year A+ A B C
2026 ✓ ✓
2025 ✓ ✓
2024 ✓ ✓
2023 ✓ ✓
2021/2022 ✓ ✓
2020 ✓
2019 ✓
2018
A journal may have more than one classification in the same year. All recorded classifications are displayed.
Recent Articles
Polar remote sensing in China: advances, integrated observation systems, and future perspectives
Xiao Cheng, Ye Peng, Chuyue Peng et al.
2026-11-11 Pages 1-17
DOI: 10.1080/10095020.2026.2759438
Theoretical framework and key technologies of spatio-temporal intelligence for satellite remote sensing constellations
Mi Wang, Tengteng Dong, Jing Xiao et al.
2026-11-11 Pages 1-34
DOI: 10.1080/10095020.2026.2753896
A visibility-aware framework for façade-level building height estimation using multi-view street-view imagery and building footprints
Yuxuan Zhou, Haosheng Huang, Jinbin Zhang et al.
2026-11-11 Pages 1-22
DOI: 10.1080/10095020.2026.2757296
Gridded population mapping of Chinese mainland (1982–2020) using a geographically and temporally neural network‑weighted nonlinear regression
Zhen Lei, Bei Liu, Penggen Cheng et al.
2026-11-6 Pages 1-26
DOI: 10.1080/10095020.2026.2754612
Construction of an infrastructure system for high-quality development enabled by aerospace information technology
Jingnan Liu, Kefu Gao, Huihui Liu et al.
2026-11-5 Pages 1-19
DOI: 10.1080/10095020.2026.2755172
Crop biophysical parameter estimation via AI-enhanced hyperspectral remote sensing
Bing Zhang, Dailiang Peng, Jinkang Hu et al.
2026-11-4 Pages 1-32
DOI: 10.1080/10095020.2026.2754604
2Dinsight3D: an multi-modal urban scene dataset for point cloud semantic segmentation from remote sensing imagery
Yiping Chen, Chenlu Lin, Ting Han et al.
2026-11-3 Pages 1-19
DOI: 10.1080/10095020.2026.2752329
Spatiotemporal dynamics and environmental drivers of older pedestrian traffic crashes in Hong Kong: a spatial machine learning approach
Jian Liu, Ketong Shen, Farasath Hasan et al.
2026-11-2 Pages 1-25
DOI: 10.1080/10095020.2026.2754613
From heterogeneous signals to consistent wind fields: a unified framework for sea surface wind speed retrieval with multi-GNSS reflections
Ziheng Wu, Fei Guo, Zhiyu Zhang et al.
2026-10-29 Pages 1-18
DOI: 10.1080/10095020.2026.2753898
Unlocking the potential: multi-task deep learning for spaceborne quantitative monitoring of fugitive methane plumes
Guoxin Si, Shiliang Fu, Wei Yao
2026-10-27 Pages 1-23
DOI: 10.1080/10095020.2026.2741747
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Printed: November 14, 2026 19:42