Towards the next generation of Geospatial Artificial Intelligence

Mai, Gengchen; Xie, Yiqun; Jia, Xiaowei; Lao, Ni; Rao, Jinmeng; Zhu, Qing; Liu, Zeping; Chiang, Yao-Yi; Jiao, Junfeng

doi:10.1016/j.jag.2025.104368

Towards the next generation of Geospatial Artificial Intelligence

Journal Article · Sun Jan 19 23:00:00 EST 2025 · International Journal of Applied Earth Observation and Geoinformation

DOI:https://doi.org/10.1016/j.jag.2025.104368· OSTI ID:2566093

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Univ. of Texas, Austin, TX (United States)
Univ. of Maryland, College Park, MD (United States)
Univ. of Pittsburgh, PA (United States)
Google LLC, Mountain View, CA (United States)
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); University of California, Berkeley, CA (United States)
Univ. of Minnesota, Minneapolis, MN (United States)

Geospatial Artificial Intelligence (GeoAI), as the integration of geospatial studies and AI, has become one of the fastest-developing research directions in spatial data science and geography. This rapid change in the field calls for a deeper understanding of the recent developments and envision where the field is going in the near future. In this work, we provide a quantitative analysis of the GeoAI literature from the spatial, temporal, and semantic aspects. We briefly discuss the history of AI and GeoAI by highlighting some pioneering work. Then we discuss the current landscape of GeoAI by selecting five representative subdomains including remote sensing, urban computing, Earth system science, cartography, and geospatial semantics. Finally, we highlight several unique future research directions of GeoAI which are classified into two groups: GeoAI method development challenges and GeoAI Ethics challenges. Topics include heterogeneity-aware GeoAI, knowledge-guided GeoAI, spatial representation learning, geo-foundation models, fairness-aware GeoAI, privacy-aware GeoAI, as well as interpretable and explainable GeoAI. We hope our review of GeoAI’s past, present, and future is comprehensive and can enlighten the next generation of GeoAI research.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 2566093

Journal Information:: International Journal of Applied Earth Observation and Geoinformation, Journal Name: International Journal of Applied Earth Observation and Geoinformation Vol. 136; ISSN 1569-8432

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (183)

Association of Mobile Phone Location Data Indications of Travel and Stay-at-Home Mandates With COVID-19 Infection Rates in the US Gao, Song; Rao, Jinmeng; Kang, Yuhao JAMA Network Open, Vol. 3, Issue 9 https://doi.org/10.1001/jamanetworkopen.2020.20485	journal	September 2020
Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives Materia, Stefano; García, Lluís Palma; van Straaten, Chiem WIREs Climate Change, Vol. 15, Issue 6 https://doi.org/10.1002/wcc.914	journal	September 2024
Remote Sensing of Terrestrial Primary Production and Carbon Cycle Zhao, Maosheng; Running, Steven W. Advances in Land Remote Sensing https://doi.org/10.1007/978-1-4020-6450-0_16	book	January 2008
Some suggestions concerning the development of artificial intelligence tools for spatial modelling and analysis in GIS Openshaw, Stan The Annals of Regional Science, Vol. 26, Issue 1 https://doi.org/10.1007/BF01581479	journal	March 1992
A geographic knowledge representation system for multimedia geospatial retrieval and analysis Chen, Hsinchun; Smith, Terence R.; Larsgaard, Mary L. International Journal on Digital Libraries, Vol. 1, Issue 2 https://doi.org/10.1007/s007990050010	journal	September 1997
Harnessing heterogeneity in space with statistically guided meta-learning Xie, Yiqun; Chen, Weiye; He, Erhu Knowledge and Information Systems, Vol. 65, Issue 6 https://doi.org/10.1007/s10115-023-01847-0	journal	March 2023
Physics-guided machine learning from simulated data with different physical parameters Chen, Shengyu; Kalanat, Nasrin; Xie, Yiqun Knowledge and Information Systems, Vol. 65, Issue 8 https://doi.org/10.1007/s10115-023-01864-z	journal	March 2023
A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences Graziani, Mara; Dutkiewicz, Lidia; Calvaresi, Davide Artificial Intelligence Review, Vol. 56, Issue 4 https://doi.org/10.1007/s10462-022-10256-8	journal	September 2022
Automatic and Accurate Extraction of Road Intersections from Raster Maps Chiang, Yao-Yi; Knoblock, Craig A.; Shahabi, Cyrus GeoInformatica, Vol. 13, Issue 2 https://doi.org/10.1007/s10707-008-0046-3	journal	April 2008
HyperQuaternionE: A hyperbolic embedding model for qualitative spatial and temporal reasoning Cai, Ling; Janowicz, Krzysztof; Zhu, Rui GeoInformatica, Vol. 27, Issue 2 https://doi.org/10.1007/s10707-022-00469-y	journal	September 2022
Towards general-purpose representation learning of polygonal geometries Mai, Gengchen; Jiang, Chiyu; Sun, Weiwei GeoInformatica, Vol. 27, Issue 2 https://doi.org/10.1007/s10707-022-00481-2	journal	October 2022
Spatial, temporal, and content analysis of Twitter for wildfire hazards Wang, Zheye; Ye, Xinyue; Tsou, Ming-Hsiang Natural Hazards, Vol. 83, Issue 1 https://doi.org/10.1007/s11069-016-2329-6	journal	April 2016
Urban flood hazard mapping using machine learning models: GARP, RF, MaxEnt and NB Norallahi, Mahya; Seyed Kaboli, Hesam Natural Hazards, Vol. 106, Issue 1 https://doi.org/10.1007/s11069-020-04453-3	journal	January 2021
Towards an AI-driven framework for multi-scale urban flood resilience planning and design Ye, Xinyue; Wang, Shaohua; Lu, Zhipeng Computational Urban Science, Vol. 1, Issue 1 https://doi.org/10.1007/s43762-021-00011-0	journal	July 2021
SOAR: An architecture for general intelligence Laird, John E.; Newell, Allen; Rosenbloom, Paul S. Artificial Intelligence, Vol. 33, Issue 1 https://doi.org/10.1016/0004-3702(87)90050-6	journal	September 1987
Spatial interaction modeling using artificial neural networks Black, William R. Journal of Transport Geography, Vol. 3, Issue 3 https://doi.org/10.1016/0966-6923(95)00013-S	journal	September 1995
An assessment of the effectiveness of decision tree methods for land cover classification Pal, Mahesh; Mather, Paul M. Remote Sensing of Environment, Vol. 86, Issue 4 https://doi.org/10.1016/S0034-4257(03)00132-9	journal	August 2003
Decision tree classification of land cover from remotely sensed data Friedl, M. A.; Brodley, C. E. Remote Sensing of Environment, Vol. 61, Issue 3 https://doi.org/10.1016/S0034-4257(97)00049-7	journal	September 1997
Examining the impact of energy efficiency retrofits and vegetation on energy performance of institutional buildings: An equity-driven analysis Excell, Lauren E.; Jain, Rishee K. Applied Energy, Vol. 357 https://doi.org/10.1016/j.apenergy.2023.121722	journal	March 2024
Development of advanced artificial intelligence models for daily rainfall prediction Pham, Binh Thai; Le, Lu Minh; Le, Tien-Thinh Atmospheric Research, Vol. 237 https://doi.org/10.1016/j.atmosres.2020.104845	journal	June 2020
Investigating the nonlinear relationship between surface solar radiation and its influencing factors in North China Plain using interpretable machine learning Li, Zhigang; Shi, Haoze; Yang, Xin Atmospheric Research, Vol. 280 https://doi.org/10.1016/j.atmosres.2022.106406	journal	December 2022
A review of Earth Artificial Intelligence Sun, Ziheng; Sandoval, Laura; Crystal-Ornelas, Robert Computers & Geosciences, Vol. 159 https://doi.org/10.1016/j.cageo.2022.105034	journal	February 2022
HOSSNet: An efficient physics-guided neural network for simulating micro-crack propagation Chen, Shengyu; Feng, Shihang; Huang, Yao Computational Materials Science, Vol. 236 https://doi.org/10.1016/j.commatsci.2024.112846	journal	March 2024
A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives Goyal, Pooja; Kumar, Sunil; Sharda, Rakesh Computers and Electronics in Agriculture, Vol. 209 https://doi.org/10.1016/j.compag.2023.107836	journal	June 2023
Identifying residential neighbourhood types from settlement points in a machine learning approach Jochem, Warren C.; Bird, Tomas J.; Tatem, Andrew J. Computers, Environment and Urban Systems, Vol. 69 https://doi.org/10.1016/j.compenvurbsys.2018.01.004	journal	May 2018
Towards the automated large-scale reconstruction of past road networks from historical maps Uhl, Johannes H.; Leyk, Stefan; Chiang, Yao-Yi Computers, Environment and Urban Systems, Vol. 94 https://doi.org/10.1016/j.compenvurbsys.2022.101794	journal	June 2022
The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems Jung, Jinha; Maeda, Murilo; Chang, Anjin Current Opinion in Biotechnology, Vol. 70 https://doi.org/10.1016/j.copbio.2020.09.003	journal	August 2021
Urban water resource management for sustainable environment planning using artificial intelligence techniques Xiang, Xiaojun; Li, Qiong; Khan, Shahnawaz Environmental Impact Assessment Review, Vol. 86 https://doi.org/10.1016/j.eiar.2020.106515	journal	January 2021
Physics-guided convolutional neural network (PhyCNN) for data-driven seismic response modeling Zhang, Ruiyang; Liu, Yang; Sun, Hao Engineering Structures, Vol. 215 https://doi.org/10.1016/j.engstruct.2020.110704	journal	July 2020
Combined artificial intelligence, sustainable land management, and stakeholder engagement for integrated landscape management in Mediterranean watersheds Ruiz, Itxaso; Pompeu, João; Ruano, Antonio Environmental Science & Policy, Vol. 145 https://doi.org/10.1016/j.envsci.2023.04.011	journal	July 2023
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook Zou, Xingchen; Yan, Yibo; Hao, Xixuan Information Fusion, Vol. 113 https://doi.org/10.1016/j.inffus.2024.102606	journal	January 2025
BB-GeoGPT: A framework for learning a large language model for geographic information science Zhang, Yifan; Wang, Zhiyun; He, Zhengting Information Processing & Management, Vol. 61, Issue 5 https://doi.org/10.1016/j.ipm.2024.103808	journal	September 2024
Recognition of building group patterns in topographic maps based on graph partitioning and random forest He, Xianjin; Zhang, Xinchang; Xin, Qinchuan ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 136 https://doi.org/10.1016/j.isprsjprs.2017.12.001	journal	February 2018
A graph convolutional neural network for classification of building patterns using spatial vector data Yan, Xiongfeng; Ai, Tinghua; Yang, Min ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 150 https://doi.org/10.1016/j.isprsjprs.2019.02.010	journal	April 2019
ChangeMask: Deep multi-task encoder-transformer-decoder architecture for semantic change detection Zheng, Zhuo; Zhong, Yanfei; Tian, Shiqi ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 183 https://doi.org/10.1016/j.isprsjprs.2021.10.015	journal	January 2022
A novel regression method for harmonic analysis of time series Zhou, Qiang; Zhu, Zhe; Xian, George ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 185 https://doi.org/10.1016/j.isprsjprs.2022.01.006	journal	March 2022
Estimation of building height using a single street view image via deep neural networks Yan, Yizhen; Huang, Bo ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 192 https://doi.org/10.1016/j.isprsjprs.2022.08.006	journal	October 2022
Sphere2Vec: A general-purpose location representation learning over a spherical surface for large-scale geospatial predictions Mai, Gengchen; Xuan, Yao; Zuo, Wenyun ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 202 https://doi.org/10.1016/j.isprsjprs.2023.06.016	journal	August 2023
A self-supervised remote sensing image fusion framework with dual-stage self-learning and spectral super-resolution injection He, Jiang; Yuan, Qiangqiang; Li, Jie ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 204 https://doi.org/10.1016/j.isprsjprs.2023.09.003	journal	October 2023
Remote sensing of soil degradation: Progress and perspective Wang, Jingzhe; Zhen, Jianing; Hu, Weifang International Soil and Water Conservation Research, Vol. 11, Issue 3 https://doi.org/10.1016/j.iswcr.2023.03.002	journal	September 2023
Physics-guided deep learning for rainfall-runoff modeling by considering extreme events and monotonic relationships Xie, Kang; Liu, Pan; Zhang, Jianyun Journal of Hydrology, Vol. 603 https://doi.org/10.1016/j.jhydrol.2021.127043	journal	December 2021
Integrating smart card records and dockless bike-sharing data to understand the effect of the built environment on cycling as a feeder mode for metro trips Zhang, Yuan; Chen, Xiao-Jian; Gao, Song Journal of Transport Geography, Vol. 121 https://doi.org/10.1016/j.jtrangeo.2024.103995	journal	December 2024
Combining deep learning and ontology reasoning for remote sensing image semantic segmentation Li, Yansheng; Ouyang, Song; Zhang, Yongjun Knowledge-Based Systems, Vol. 243 https://doi.org/10.1016/j.knosys.2022.108469	journal	May 2022
AsyLink: user identity linkage from text to geo-location via sparse labeled data Shao, Jiangli; Wang, Yongqing; Gao, Hao Neurocomputing, Vol. 515 https://doi.org/10.1016/j.neucom.2022.10.027	journal	January 2023
AI meets UAVs: A survey on AI empowered UAV perception systems for precision agriculture Su, Jinya; Zhu, Xiaoyong; Li, Shihua Neurocomputing, Vol. 518 https://doi.org/10.1016/j.neucom.2022.11.020	journal	January 2023
Artificial intelligence potential for net zero sustainability: Current evidence and prospects Olawade, David B.; Wada, Ojima Z.; David-Olawade, Aanuoluwapo Clement Next Sustainability, Vol. 4 https://doi.org/10.1016/j.nxsust.2024.100041	journal	January 2024
Towards better exploiting convolutional neural networks for remote sensing scene classification Nogueira, Keiller; Penatti, Otávio A. B.; dos Santos, Jefersson A. Pattern Recognition, Vol. 61 https://doi.org/10.1016/j.patcog.2016.07.001	journal	January 2017
A change detection model based on neighborhood correlation image analysis and decision tree classification Im, J.; Jensen, J. Remote Sensing of Environment, Vol. 99, Issue 3 https://doi.org/10.1016/j.rse.2005.09.008	journal	November 2005
Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms Kennedy, Robert E.; Yang, Zhiqiang; Cohen, Warren B. Remote Sensing of Environment, Vol. 114, Issue 12 https://doi.org/10.1016/j.rse.2010.07.008	journal	December 2010
Continuous change detection and classification of land cover using all available Landsat data Zhu, Zhe; Woodcock, Curtis E. Remote Sensing of Environment, Vol. 144 https://doi.org/10.1016/j.rse.2014.01.011	journal	March 2014
Continuous monitoring of land disturbance based on Landsat time series Zhu, Zhe; Zhang, Junxue; Yang, Zhiqiang Remote Sensing of Environment, Vol. 238 https://doi.org/10.1016/j.rse.2019.03.009	journal	March 2020
Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years Xiao, Jingfeng; Chevallier, Frederic; Gomez, Cecile Remote Sensing of Environment, Vol. 233 https://doi.org/10.1016/j.rse.2019.111383	journal	November 2019
Satellite-ground integrated destriping network: A new perspective for EO-1 Hyperion and Chinese hyperspectral satellite datasets Zhong, Yanfei; Li, Wenqing; Wang, Xinyu Remote Sensing of Environment, Vol. 237 https://doi.org/10.1016/j.rse.2019.111416	journal	February 2020
Annual maps of global artificial impervious area (GAIA) between 1985 and 2018 Gong, Peng; Li, Xuecao; Wang, Jie Remote Sensing of Environment, Vol. 236 https://doi.org/10.1016/j.rse.2019.111510	journal	January 2020
Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters Zheng, Zhuo; Zhong, Yanfei; Wang, Junjue Remote Sensing of Environment, Vol. 265 https://doi.org/10.1016/j.rse.2021.112636	journal	November 2021
World Settlement Footprint 3D - A first three-dimensional survey of the global building stock Esch, Thomas; Brzoska, Elisabeth; Dech, Stefan Remote Sensing of Environment, Vol. 270 https://doi.org/10.1016/j.rse.2021.112877	journal	March 2022
Four seasonal composite Sentinel-2 images for the large-scale estimation of the number of stories in each individual building Lyu, Siqing; Ji, Chao; Liu, Zeping Remote Sensing of Environment, Vol. 303 https://doi.org/10.1016/j.rse.2024.114017	journal	March 2024
Monitoring construction changes using dense satellite time series and deep learning Suh, Ji Won; Zhu, Zhe; Zhao, Yongquan Remote Sensing of Environment, Vol. 309 https://doi.org/10.1016/j.rse.2024.114207	journal	August 2024
A hybrid air quality early-warning framework: An hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms Sharma, Ekta; Deo, Ravinesh C.; Prasad, Ramendra Science of The Total Environment, Vol. 709 https://doi.org/10.1016/j.scitotenv.2019.135934	journal	March 2020
Interpretable and explainable AI (XAI) model for spatial drought prediction Dikshit, Abhirup; Pradhan, Biswajeet Science of The Total Environment, Vol. 801 https://doi.org/10.1016/j.scitotenv.2021.149797	journal	December 2021
Evaluating the performances of several artificial intelligence methods in forecasting daily streamflow time series for sustainable water resources management Niu, Wen-jing; Feng, Zhong-kai Sustainable Cities and Society, Vol. 64 https://doi.org/10.1016/j.scs.2020.102562	journal	January 2021
Leveraging context-adjusted nighttime light data for socioeconomic explanations of global urban resilience Zhang, Yatao; Song, Siqi; Li, Xia Sustainable Cities and Society, Vol. 114 https://doi.org/10.1016/j.scs.2024.105739	journal	November 2024
Urban ride-hailing demand prediction with multiple spatio-temporal information fusion network Jin, Guangyin; Cui, Yan; Zeng, Liang Transportation Research Part C: Emerging Technologies, Vol. 117 https://doi.org/10.1016/j.trc.2020.102665	journal	August 2020
The SSN ontology of the W3C semantic sensor network incubator group Compton, Michael; Barnaghi, Payam; Bermudez, Luis Journal of Web Semantics, Vol. 17 https://doi.org/10.1016/j.websem.2012.05.003	journal	December 2012
SOSA: A lightweight ontology for sensors, observations, samples, and actuators Janowicz, Krzysztof; Haller, Armin; Cox, Simon J. D. Journal of Web Semantics, Vol. 56 https://doi.org/10.1016/j.websem.2018.06.003	journal	May 2019
Mastering the game of Go with deep neural networks and tree search Silver, David; Huang, Aja; Maddison, Chris J. Nature, Vol. 529, Issue 7587 https://doi.org/10.1038/nature16961	journal	January 2016
Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking Mousavi, S. Mostafa; Ellsworth, William L.; Zhu, Weiqiang Nature Communications, Vol. 11, Issue 1 https://doi.org/10.1038/s41467-020-17591-w	journal	August 2020
Geospatial mapping of distribution grid with machine learning and publicly-accessible multi-modal data Wang, Zhecheng; Majumdar, Arun; Rajagopal, Ram Nature Communications, Vol. 14, Issue 1 https://doi.org/10.1038/s41467-023-39647-3	journal	August 2023
Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems Liu, Licheng; Zhou, Wang; Guan, Kaiyu Nature Communications, Vol. 15, Issue 1 https://doi.org/10.1038/s41467-023-43860-5	journal	January 2024
Highly accurate protein structure prediction with AlphaFold Jumper, John; Evans, Richard; Pritzel, Alexander Nature https://doi.org/10.1038/s41586-021-03819-2	journal	July 2021
Dynamic World, Near real-time global 10 m land use land cover mapping Brown, Christopher F.; Brumby, Steven P.; Guzder-Williams, Brookie Scientific Data, Vol. 9, Issue 1 https://doi.org/10.1038/s41597-022-01307-4	journal	June 2022
Towards neural Earth system modelling by integrating artificial intelligence in Earth system science Irrgang, Christopher; Boers, Niklas; Sonnewald, Maike Nature Machine Intelligence, Vol. 3, Issue 8 https://doi.org/10.1038/s42256-021-00374-3	journal	August 2021
Large-scale chemical language representations capture molecular structure and properties Ross, Jerret; Belgodere, Brian; Chenthamarakshan, Vijil Nature Machine Intelligence, Vol. 4, Issue 12 https://doi.org/10.1038/s42256-022-00580-7	journal	December 2022
A big data approach to assess progress towards Sustainable Development Goals for cities of varying sizes Liu, Yu; Huang, Bo; Guo, Huadong Communications Earth & Environment, Vol. 4, Issue 1 https://doi.org/10.1038/s43247-023-00730-8	journal	March 2023
Spatial planning of urban communities via deep reinforcement learning Zheng, Yu; Lin, Yuming; Zhao, Liang Nature Computational Science, Vol. 3, Issue 9 https://doi.org/10.1038/s43588-023-00503-5	journal	September 2023
Geographically Weighted Regression: A Natural Evolution of the Expansion Method for Spatial Data Analysis Fotheringham, A. S.; Charlton, M. E.; Brunsdon, C. Environment and Planning A: Economy and Space, Vol. 30, Issue 11 https://doi.org/10.1068/a301905	journal	November 1998
Replication across space and time must be weak in the social and environmental sciences Goodchild, Michael F.; Li, Wenwen Proceedings of the National Academy of Sciences, Vol. 118, Issue 35 https://doi.org/10.1073/pnas.2015759118	journal	August 2021
Intracounty modeling of COVID-19 infection with human mobility: Assessing spatial heterogeneity with business traffic, age, and race Hou, Xiao; Gao, Song; Li, Qin Proceedings of the National Academy of Sciences, Vol. 118, Issue 24 https://doi.org/10.1073/pnas.2020524118	journal	May 2021
Climate change will accelerate the high-end risk of compound drought and heatwave events Tripathy, Kumar P.; Mukherjee, Sourav; Mishra, Ashok K. Proceedings of the National Academy of Sciences, Vol. 120, Issue 28 https://doi.org/10.1073/pnas.2219825120	journal	July 2023
AI emerges as the frontier in behavioral science Meng, Juanjuan Proceedings of the National Academy of Sciences, Vol. 121, Issue 10 https://doi.org/10.1073/pnas.2401336121	journal	February 2024
Random forest classifier for remote sensing classification Pal, M. International Journal of Remote Sensing, Vol. 26, Issue 1 https://doi.org/10.1080/01431160412331269698	journal	January 2005
A Mark 1 Geographical Analysis Machine for the automated analysis of point data sets Openshaw, Stan; Charlton, Martin; Wymer, Colin International journal of geographical information systems, Vol. 1, Issue 4 https://doi.org/10.1080/02693798708927821	journal	January 1987
Building a prototype Geographical Correlates Exploration Machine Openshaw, Stan; Cross, Anna; Charlton, Martin International journal of geographical information systems, Vol. 4, Issue 3 https://doi.org/10.1080/02693799008941548	journal	July 1990
A graph deep learning approach for urban building grouping Yan, Xiongfeng; Ai, Tinghua; Yang, Min Geocarto International, Vol. 37, Issue 10 https://doi.org/10.1080/10106049.2020.1856195	journal	December 2020
Artificial neural networks as a tool for spatial interpolation Rigol, Juan P.; Jarvis, Claire H.; Stuart, Neil International Journal of Geographical Information Science, Vol. 15, Issue 4 https://doi.org/10.1080/13658810110038951	journal	June 2001
Geographical information retrieval Jones, Christopher B.; Purves, Ross S. International Journal of Geographical Information Science, Vol. 22, Issue 3 https://doi.org/10.1080/13658810701626343	journal	March 2008
GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond Janowicz, Krzysztof; Gao, Song; McKenzie, Grant International Journal of Geographical Information Science, Vol. 34, Issue 4 https://doi.org/10.1080/13658816.2019.1684500	journal	October 2019
Graph convolutional autoencoder model for the shape coding and cognition of buildings in maps Yan, Xiongfeng; Ai, Tinghua; Yang, Min International Journal of Geographical Information Science, Vol. 35, Issue 3 https://doi.org/10.1080/13658816.2020.1768260	journal	May 2020
A hybrid approach to building simplification with an evaluator from a backpropagation neural network Yang, Min; Yuan, Tuo; Yan, Xiongfeng International Journal of Geographical Information Science, Vol. 36, Issue 2 https://doi.org/10.1080/13658816.2021.1873998	journal	January 2021
Filling gaps of cartographic polylines by using an encoder–decoder model Yu, Wenhao; Chen, Yujie International Journal of Geographical Information Science, Vol. 36, Issue 11 https://doi.org/10.1080/13658816.2022.2055036	journal	March 2022
CATS: Conditional Adversarial Trajectory Synthesis for privacy-preserving trajectory data publication using deep learning approaches Rao, Jinmeng; Gao, Song; Zhu, Sijia International Journal of Geographical Information Science, Vol. 37, Issue 12 https://doi.org/10.1080/13658816.2023.2262550	journal	October 2023
Geographically masking addresses to study COVID-19 clusters Houfaf-Khoufaf, Walid; Touya, Guillaume; Le Guilcher, Arnaud Cartography and Geographic Information Science, Vol. 51, Issue 2 https://doi.org/10.1080/15230406.2021.1977709	journal	October 2021
Learning from vector data: enhancing vector-based shape encoding and shape classification for map generalization purposes Knura, Martin Cartography and Geographic Information Science, Vol. 51, Issue 1 https://doi.org/10.1080/15230406.2023.2273397	journal	November 2023
MapGPT: an autonomous framework for mapping by integrating large language model and cartographic tools Zhang, Yifan; He, Zhengting; Li, Jingxuan Cartography and Geographic Information Science, Vol. 51, Issue 6 https://doi.org/10.1080/15230406.2024.2404868	journal	October 2024
Geo-analytical question-answering with GIS Scheider, Simon; Nyamsuren, Enkhbold; Kruiger, Han International Journal of Digital Earth, Vol. 14, Issue 1 https://doi.org/10.1080/17538947.2020.1738568	journal	March 2020
Autonomous GIS: the next-generation AI-powered GIS Li, Zhenlong; Ning, Huan International Journal of Digital Earth, Vol. 16, Issue 2 https://doi.org/10.1080/17538947.2023.2278895	journal	November 2023
A five-year milestone: reflections on advances and limitations in GeoAI research Hu, Yingjie; Goodchild, Michael; Zhu, A-Xing Annals of GIS, Vol. 30, Issue 1 https://doi.org/10.1080/19475683.2024.2309866	journal	January 2024
Automatic identification of building types based on topographic databases – a comparison of different data sources Hecht, Robert; Meinel, Gotthard; Buchroithner, Manfred International Journal of Cartography, Vol. 1, Issue 1 https://doi.org/10.1080/23729333.2015.1055644	journal	January 2015
Transferring multiscale map styles using generative adversarial networks Kang, Yuhao; Gao, Song; Roth, Robert E. International Journal of Cartography, Vol. 5, Issue 2-3 https://doi.org/10.1080/23729333.2019.1615729	journal	May 2019
Neural map style transfer exploration with GANs Christophe, Sidonie; Mermet, Samuel; Laurent, Morgan International Journal of Cartography, Vol. 8, Issue 1 https://doi.org/10.1080/23729333.2022.2031554	journal	January 2022
Integrated human-earth system modeling—state of the science and future directions Calvin, Katherine; Bond-Lamberty, Ben Environmental Research Letters, Vol. 13, Issue 6 https://doi.org/10.1088/1748-9326/aac642	journal	June 2018
Deep-learning-based information mining from ocean remote-sensing imagery Li, Xiaofeng; Liu, Bin; Zheng, Gang National Science Review, Vol. 7, Issue 10 https://doi.org/10.1093/nsr/nwaa047	journal	March 2020
Physics-informed machine learning: case studies for weather and climate modelling Kashinath, K.; Mustafa, M.; Albert, A. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 379, Issue 2194 https://doi.org/10.1098/rsta.2020.0093	journal	February 2021
Simple Memory: A Theory for Archicortex Marr, D. Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 262, Issue 841 https://doi.org/10.1098/rstb.1971.0078	journal	July 1971
Maximizing land cover classification accuracies produced by decision trees at continental to global scales Friedl, M. A.; Brodley, C. E.; Strahler, A. H. IEEE Transactions on Geoscience and Remote Sensing, Vol. 37, Issue 2 https://doi.org/10.1109/36.752215	journal	March 1999
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding Rahnemoonfar, Maryam; Chowdhury, Tashnim; Sarkar, Argho IEEE Access, Vol. 9 https://doi.org/10.1109/ACCESS.2021.3090981	journal	January 2021
Image Style Transfer Using Convolutional Neural Networks Gatys, Leon A.; Ecker, Alexander S.; Bethge, Matthias 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) https://doi.org/10.1109/CVPR.2016.265	conference	June 2016
Annotating Object Instances with a Polygon-RNN Castrejon, Lluis; Kundu, Kaustav; Urtasun, Raquel 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) https://doi.org/10.1109/CVPR.2017.477	conference	July 2017
Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++ Acuna, David; Ling, Huan; Kar, Amlan 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition https://doi.org/10.1109/CVPR.2018.00096	conference	June 2018
Functional Map of the World Christie, Gordon; Fendley, Neil; Wilson, James 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition https://doi.org/10.1109/CVPR.2018.00646	conference	June 2018
The Multi-Temporal Urban Development SpaceNet Dataset Van Etten, Adam; Hogan, Daniel; Manso, Jesus Martinez 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) https://doi.org/10.1109/CVPR46437.2021.00633	conference	June 2021
SpaceNet 6: Multi-Sensor All Weather Mapping Dataset Shermeyer, Jacob; Hogan, Daniel; Brown, Jason 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) https://doi.org/10.1109/CVPRW50498.2020.00106	conference	June 2020
Mask R-CNN He, Kaiming; Gkioxari, Georgia; Dollar, Piotr 2017 IEEE International Conference on Computer Vision (ICCV) https://doi.org/10.1109/ICCV.2017.322	conference	October 2017
SkyScapes Fine-Grained Semantic Understanding of Aerial Scenes Azimi, Seyed Majid; Henry, Corentin; Sommer, Lars 2019 IEEE/CVF International Conference on Computer Vision (ICCV) https://doi.org/10.1109/ICCV.2019.00749	conference	October 2019
Single Infrared Image Optical Noise Removal Using a Deep Convolutional Neural Network Kuang, Xiaodong; Sui, Xiubao; Liu, Yuan IEEE Photonics Journal, Vol. 10, Issue 2 https://doi.org/10.1109/JPHOT.2017.2779149	journal	April 2018
Removing Stripe Noise From Infrared Cloud Images via Deep Convolutional Networks Xiao, Pengfei; Guo, Yecai; Zhuang, Peixian IEEE Photonics Journal, Vol. 10, Issue 4 https://doi.org/10.1109/JPHOT.2018.2854303	journal	August 2018
GreenScan: Toward Large-Scale Terrestrial Monitoring the Health of Urban Trees Using Mobile Sensing Gupta, Akshit; Mora, Simone; Zhang, Fan IEEE Sensors Journal, Vol. 24, Issue 13 https://doi.org/10.1109/JSEN.2024.3397490	journal	July 2024
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification Helber, Patrick; Bischke, Benjamin; Dengel, Andreas IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 12, Issue 7 https://doi.org/10.1109/JSTARS.2019.2918242	journal	July 2019
Image Restoration for Remote Sensing: Overview and toolbox Rasti, Behnood; Chang, Yi; Dalsasso, Emanuele IEEE Geoscience and Remote Sensing Magazine, Vol. 10, Issue 2 https://doi.org/10.1109/MGRS.2021.3121761	journal	June 2022
Deep Unfolding Network for Spatiospectral Image Super-Resolution Ma, Qing; Jiang, Junjun; Liu, Xianming IEEE Transactions on Computational Imaging, Vol. 8 https://doi.org/10.1109/TCI.2021.3136759	journal	January 2022
Investigation of the random forest framework for classification of hyperspectral data Ham, J.; Crawford, M. M. IEEE Transactions on Geoscience and Remote Sensing, Vol. 43, Issue 3 https://doi.org/10.1109/TGRS.2004.842481	journal	March 2005
Spatial and Spectral Joint Super-Resolution Using Convolutional Neural Network Mei, Shaohui; Jiang, Ruituo; Li, Xu IEEE Transactions on Geoscience and Remote Sensing, Vol. 58, Issue 7 https://doi.org/10.1109/TGRS.2020.2964288	journal	July 2020
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Ren, Shaoqing; He, Kaiming; Girshick, Ross IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 39, Issue 6 https://doi.org/10.1109/TPAMI.2016.2577031	journal	June 2017
Neural Style Transfer: A Review Jing, Yongcheng; Yang, Yezhou; Feng, Zunlei IEEE Transactions on Visualization and Computer Graphics, Vol. 26, Issue 11 https://doi.org/10.1109/TVCG.2019.2921336	journal	November 2020
Using Ontologies for Integrated Geographic Information Systems Fonseca, Frederico T.; Egenhofer, Max J.; Agouris, Peggy Transactions in GIS, Vol. 6, Issue 3 https://doi.org/10.1111/1467-9671.00109	journal	June 2002
Verifying and Exploring Settlement Selection Rules and Variables for Small‐Scale Maps Using Decision Tree‐Based Models Lisiewicz, Maciej; Karsznia, Izabela Geographical Analysis, Vol. 53, Issue 3 https://doi.org/10.1111/gean.12246	journal	June 2020
Effects of Confidentiality‐Preserving Geo‐Masking on the Estimation of Semivariogram and of the Kriging Variance Arbia, Giuseppe; Ghiringhelli, Chiara; Nardelli, Vincenzo Geographical Analysis, Vol. 55, Issue 3 https://doi.org/10.1111/gean.12344	journal	August 2022
Artificial Intelligence and its Applicability to Geographical Problem Solving Smith, Terence R. The Professional Geographer, Vol. 36, Issue 2 https://doi.org/10.1111/j.0033-0124.1984.00147.x	journal	May 1984
Artificial Intelligence in Geography: Conjectures on the Shape of Things to come Couclelis, Helen The Professional Geographer, Vol. 38, Issue 1 https://doi.org/10.1111/j.0033-0124.1986.00001.x	journal	February 1986
Do Spatial Effecfs Really Matter in Regression Analysis? Anselin, Luc; Griffith, Daniel A. Papers in Regional Science, Vol. 65, Issue 1 https://doi.org/10.1111/j.1435-5597.1988.tb01155.x	journal	January 1988
The Validity and Usefulness of Laws in Geographic Information Science and Geography Goodchild, Michael F. Annals of the Association of American Geographers, Vol. 94, Issue 2 https://doi.org/10.1111/j.1467-8306.2004.09402008.x	journal	June 2004
Observation‐Driven Geo‐Ontology Engineering Janowicz, Krzysztof Transactions in GIS, Vol. 16, Issue 3 https://doi.org/10.1111/j.1467-9671.2012.01342.x	journal	May 2012
Properties of Tests for Spatial Dependence in Linear Regression Models Anselin, Luc; Rey, Serge Geographical Analysis, Vol. 23, Issue 2 https://doi.org/10.1111/j.1538-4632.1991.tb00228.x	journal	April 1991
Under the hood Issues in the specification and interpretation of spatial regression models Anselin, Luc Agricultural Economics, Vol. 27, Issue 3 https://doi.org/10.1111/j.1574-0862.2002.tb00120.x	journal	November 2002
GeoTxt: A scalable geoparsing system for unstructured text geolocation Karimzadeh, Morteza; Pezanowski, Scott; MacEachren, Alan M. Transactions in GIS, Vol. 23, Issue 1 https://doi.org/10.1111/tgis.12510	journal	January 2019
A spatially explicit reinforcement learning model for geographic knowledge graph summarization Yan, Bo; Janowicz, Krzysztof; Mai, Gengchen Transactions in GIS, Vol. 23, Issue 3 https://doi.org/10.1111/tgis.12547	journal	June 2019
NeuroTPR: A neuro‐net toponym recognition model for extracting locations from social media messages Wang, Jimin; Hu, Yingjie; Joseph, Kenneth Transactions in GIS, Vol. 24, Issue 3 https://doi.org/10.1111/tgis.12627	journal	May 2020
SE‐KGE: A location‐aware Knowledge Graph Embedding model for Geographic Question Answering and Spatial Semantic Lifting Mai, Gengchen; Janowicz, Krzysztof; Cai, Ling Transactions in GIS, Vol. 24, Issue 3 https://doi.org/10.1111/tgis.12629	journal	May 2020
Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting Cai, Ling; Janowicz, Krzysztof; Mai, Gengchen Transactions in GIS, Vol. 24, Issue 3 https://doi.org/10.1111/tgis.12644	journal	June 2020
A privacy‐preserving framework for location recommendation using decentralized collaborative machine learning Rao, Jinmeng; Gao, Song; Li, Mingxiao Transactions in GIS, Vol. 25, Issue 3 https://doi.org/10.1111/tgis.12769	journal	May 2021
Explainable artificial intelligence in the spatial domain (X‐GeoAI) Papadakis, Emmanuel; Adams, Ben; Gao, Song Transactions in GIS, Vol. 26, Issue 6 https://doi.org/10.1111/tgis.12996	journal	September 2022
Symbolic and subsymbolic GeoAI: Geospatial knowledge graphs and spatially explicit machine learning Mai, Gengchen; Hu, Yingjie; Gao, Song Transactions in GIS, Vol. 26, Issue 8 https://doi.org/10.1111/tgis.13012	journal	December 2022
EVKG: An interlinked and interoperable electric vehicle knowledge graph for smart transportation system Qi, Yanlin; Mai, Gengchen; Zhu, Rui Transactions in GIS, Vol. 27, Issue 4 https://doi.org/10.1111/tgis.13064	journal	May 2023
A theory of cerebellar cortex Marr, David The Journal of Physiology, Vol. 202, Issue 2 https://doi.org/10.1113/jphysiol.1969.sp008820	journal	June 1969
Toward improved urban earthquake monitoring through deep-learning-based noise suppression Yang, Lei; Liu, Xin; Zhu, Weiqiang Science Advances, Vol. 8, Issue 15 https://doi.org/10.1126/sciadv.abl3564	journal	April 2022
A Survey of Digital Map Processing Techniques Chiang, Yao-Yi; Leyk, Stefan; Knoblock, Craig A. ACM Computing Surveys, Vol. 47, Issue 1 https://doi.org/10.1145/2557423	journal	May 2014
Ontology-driven geographic information systems Fonseca, Frederico T.; Egenhofer, Max J. Proceedings of the 7th ACM international symposium on Advances in geographic information systems https://doi.org/10.1145/320134.320137	conference	November 1999
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems Willard, Jared; Jia, Xiaowei; Xu, Shaoming ACM Computing Surveys, Vol. 55, Issue 4 https://doi.org/10.1145/3514228	journal	November 2022
Decentralized Collaborative Learning Framework for Next POI Recommendation Long, Jing; Chen, Tong; Nguyen, Quoc Viet Hung ACM Transactions on Information Systems, Vol. 41, Issue 3 https://doi.org/10.1145/3555374	journal	February 2023
GeoAI at ACM SIGSPATIAL Lunga, Dalton; Hu, Yingjie; Newsam, Shawn SIGSPATIAL Special, Vol. 13, Issue 3 https://doi.org/10.1145/3578484.3578491	journal	November 2021
The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps Kim, Jina; Li, Zekun; Lin, Yijun Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems https://doi.org/10.1145/3589132.3625579	conference	November 2023
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison Liu, Tianying; Zhang, Lu; Wang, Yang ACM Transactions on Intelligent Systems and Technology, Vol. 14, Issue 4 https://doi.org/10.1145/3593588	journal	June 2023
On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper) Mai, Gengchen; Huang, Weiming; Sun, Jin ACM Transactions on Spatial Algorithms and Systems, Vol. 10, Issue 2 https://doi.org/10.1145/3653070	journal	June 2024
An Overview of CMIP5 and the Experiment Design Taylor, Karl E.; Stouffer, Ronald J.; Meehl, Gerald A. Bulletin of the American Meteorological Society, Vol. 93, Issue 4 https://doi.org/10.1175/BAMS-D-11-00094.1	journal	April 2012
Artificial Intelligence Aided Crowd Analytics in Rail Transit Station Zhu, Yadi; Ni, Ke; Li, Xiaohong Transportation Research Record: Journal of the Transportation Research Board, Vol. 2678, Issue 2 https://doi.org/10.1177/03611981231175156	journal	June 2023
Physics-guided deep learning for seismic inversion with hybrid training and uncertainty analysis Sun, Jian; Innanen, Kristopher A.; Huang, Chao GEOPHYSICS, Vol. 86, Issue 3 https://doi.org/10.1190/geo2020-0312.1	journal	March 2021
An Artificial-Neural-Network-based, Constrained CA Model for Simulating Urban Growth Guan, Qingfeng; Wang, Liming; Clarke, Keith C. Cartography and Geographic Information Science, Vol. 32, Issue 4 https://doi.org/10.1559/152304005775194746	journal	January 2005
Geographic Information Retrieval: Progress and Challenges in Spatial Search of Text Purves, Ross S.; Clough, Paul; Jones, Christopher B. Foundations and Trends® in Information Retrieval, Vol. 12, Issue 2-3 https://doi.org/10.1561/1500000034	journal	January 2018
Fairness by “Where”: A Statistically-Robust and Model-Agnostic Bi-level Learning Framework Xie, Yiqun; He, Erhu; Jia, Xiaowei Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 36, Issue 11 https://doi.org/10.1609/aaai.v36i11.21481	journal	June 2022
The modular SSN ontology: A joint W3C and OGC standard specifying the semantics of sensors, observations, sampling, and actuation Haller, Armin; Janowicz, Krzysztof; Cox, Simon J. D. Semantic Web, Vol. 10, Issue 1 https://doi.org/10.3233/SW-180320	journal	December 2018
The role of space and time for knowledge organization on the Semantic Web Janowicz, Krzysztof Semantic Web, Vol. 1, Issue 1,2 https://doi.org/10.3233/SW-2010-0001	journal	January 2010
Enabling the geospatial Semantic Web with Parliament and GeoSPARQL Battle, Robert; Kolas, Dave Semantic Web, Vol. 3, Issue 4 https://doi.org/10.3233/SW-2012-0065	journal	January 2012
Geospatial semantics and linked spatiotemporal data – Past, present, and future Janowicz, Krzysztof; Scheider, Simon; Pehle, Todd Semantic Web, Vol. 3, Issue 4 https://doi.org/10.3233/SW-2012-0077	journal	January 2012
Machine Learning for Advanced Emission Monitoring and Reduction Strategies in Fossil Fuel Power Plants Zuo, Zitu; Niu, Yongjie; Li, Jiale Applied Sciences, Vol. 14, Issue 18 https://doi.org/10.3390/app14188442	journal	September 2024
Study of the Urban Heat Island (UHI) Using Remote Sensing Data/Techniques: A Systematic Review Almeida, Cátia Rodrigues de; Teodoro, Ana Cláudia; Gonçalves, Artur Environments, Vol. 8, Issue 10 https://doi.org/10.3390/environments8100105	journal	October 2021
Global Spatial Suitability Mapping of Wind and Solar Systems Using an Explainable AI-Based Approach Sachit, Mourtadha Sarhan; Shafri, Helmi Zulhaidi Mohd; Abdullah, Ahmad Fikri ISPRS International Journal of Geo-Information, Vol. 11, Issue 8 https://doi.org/10.3390/ijgi11080422	journal	July 2022
Mapping Geospatial AI Flood Risk in National Road Networks Rezvani, Seyed M. H. S.; Silva, Maria João Falcão; Almeida, Nuno Marques de ISPRS International Journal of Geo-Information, Vol. 13, Issue 9 https://doi.org/10.3390/ijgi13090323	journal	September 2024
Learning Cartographic Building Generalization with Deep Convolutional Neural Networks Feng, Yu; Thiemann, Frank; Sester, Monika ISPRS International Journal of Geo-Information, Vol. 8, Issue 6 https://doi.org/10.3390/ijgi8060258	journal	May 2019
When Traditional Selection Fails: How to Improve Settlement Selection for Small-Scale Maps Using Machine Learning Karsznia, Izabela; Sielicka, Karolina ISPRS International Journal of Geo-Information, Vol. 9, Issue 4 https://doi.org/10.3390/ijgi9040230	journal	April 2020
Precision Agriculture and Water Conservation Strategies for Sustainable Crop Production in Arid Regions Xing, Yingying; Wang, Xiukang Plants, Vol. 13, Issue 22 https://doi.org/10.3390/plants13223184	journal	November 2024
Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives Zhou, Decheng; Xiao, Jingfeng; Bonafoni, Stefania Remote Sensing, Vol. 11, Issue 1 https://doi.org/10.3390/rs11010048	journal	December 2018
YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images Pham, Minh-Tan; Courtrai, Luc; Friguet, Chloé Remote Sensing, Vol. 12, Issue 15 https://doi.org/10.3390/rs12152501	journal	August 2020
Vision Transformers for Remote Sensing Image Classification Bazi, Yakoub; Bashmal, Laila; Rahhal, Mohamad M. Al Remote Sensing, Vol. 13, Issue 3 https://doi.org/10.3390/rs13030516	journal	February 2021
Enlighten-GAN for Super Resolution Reconstruction in Mid-Resolution Remote Sensing Images Gong, Yuanfu; Liao, Puyun; Zhang, Xiaodong Remote Sensing, Vol. 13, Issue 6 https://doi.org/10.3390/rs13061104	journal	March 2021
A Review of Practical AI for Remote Sensing in Earth Sciences Janga, Bhargavi; Asamani, Gokul; Sun, Ziheng Remote Sensing, Vol. 15, Issue 16 https://doi.org/10.3390/rs15164112	journal	August 2023
Twenty-first century ocean warming, acidification, deoxygenation, and upper-ocean nutrient and primary production decline from CMIP6 model projections Kwiatkowski, Lester; Torres, Olivier; Bopp, Laurent Biogeosciences, Vol. 17, Issue 13 https://doi.org/10.5194/bg-17-3439-2020	journal	January 2020
A global map of emission clumps for future monitoring of fossil fuel CO₂ emissions from space Wang, Yilong; Ciais, Philippe; Broquet, Grégoire Earth System Science Data, Vol. 11, Issue 2 https://doi.org/10.5194/essd-11-687-2019	journal	January 2019
Global Carbon Budget 2022 Friedlingstein, Pierre; O'Sullivan, Michael; Jones, Matthew W. Earth System Science Data, Vol. 14, Issue 11 https://doi.org/10.5194/essd-14-4811-2022	journal	November 2022
China Building Rooftop Area: the first multi-annual (2016–2021) and high-resolution (2.5 m) building rooftop area dataset in China derived with super-resolution segmentation from Sentinel-2 imagery Liu, Zeping; Tang, Hong; Feng, Lin Earth System Science Data, Vol. 15, Issue 8 https://doi.org/10.5194/essd-15-3547-2023	journal	August 2023
The IPCC Sixth Assessment Report WGIII climate assessment of mitigation pathways: from emissions to global temperatures Kikstra, Jarmo S.; Nicholls, Zebedee R. J.; Smith, Christopher J. Geoscientific Model Development, Vol. 15, Issue 24 https://doi.org/10.5194/gmd-15-9075-2022	journal	December 2022
Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing, machine learning and land surface modeling Pan, Shufen; Pan, Naiqing; Tian, Hanqin Hydrology and Earth System Sciences, Vol. 24, Issue 3 https://doi.org/10.5194/hess-24-1485-2020	journal	January 2020
Single-Image Super Resolution for Multispectral Remote Sensing data Using Convolutional Neural Networks Liebel, L.; Körner, M. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLI-B3 https://doi.org/10.5194/isprs-archives-XLI-B3-883-2016	journal	June 2016
SoK: Differentially Private Publication of Trajectory Data Miranda-Pascual, Àlex; Guerra-Balboa, Patricia; Parra-Arnau, Javier Proceedings on Privacy Enhancing Technologies, Vol. 2023, Issue 2 https://doi.org/10.56553/popets-2023-0065	journal	April 2023

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