{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T19:06:29Z","timestamp":1767899189966,"version":"3.49.0"},"reference-count":35,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2024,3,8]],"date-time":"2024-03-08T00:00:00Z","timestamp":1709856000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization","award":["U1609202"],"award-info":[{"award-number":["U1609202"]}]},{"name":"NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization","award":["42076216"],"award-info":[{"award-number":["42076216"]}]},{"name":"NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization","award":["41376184"],"award-info":[{"award-number":["41376184"]}]},{"name":"NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization","award":["40976109"],"award-info":[{"award-number":["40976109"]}]},{"name":"National Natural Science Foundation of China","award":["U1609202"],"award-info":[{"award-number":["U1609202"]}]},{"name":"National Natural Science Foundation of China","award":["42076216"],"award-info":[{"award-number":["42076216"]}]},{"name":"National Natural Science Foundation of China","award":["41376184"],"award-info":[{"award-number":["41376184"]}]},{"name":"National Natural Science Foundation of China","award":["40976109"],"award-info":[{"award-number":["40976109"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Geospatial data, especially remote sensing (RS) data, are of significant importance for public services and production activities. Expertise is critical in processing raw data, generating geospatial information, and acquiring domain knowledge and other remote sensing applications. However, existing geospatial service platforms are more oriented towards the professional users in the implementation process and final application. Building appropriate geographic applications for non-professionals remains a challenge. In this study, a geospatial data service architecture is designed that links desktop geographic information system (GIS) software and cloud-based platforms to construct an efficient user collaboration platform. Based on the scalability of the platform, four web apps with different themes are developed. Data in the fields of ecology, oceanography, and geology are uploaded to the platform by the users. In this pilot phase, the gap between non-specialized users and experts is successfully bridged, demonstrating the platform\u2019s powerful interactivity and visualization. The paper finally evaluates the capability of building spatial data infrastructures (SDI) based on GeoNode and discusses the current limitations. The support for three-dimensional data, the improvement of metadata creation and management, and the fostering of an open geo-community are the next steps.<\/jats:p>","DOI":"10.3390\/ijgi13030083","type":"journal-article","created":{"date-parts":[[2024,3,8]],"date-time":"2024-03-08T03:52:11Z","timestamp":1709869931000},"page":"83","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["A Novel and Extensible Remote Sensing Collaboration Platform: Architecture Design and Prototype Implementation"],"prefix":"10.3390","volume":"13","author":[{"given":"Wenqi","family":"Gao","sequence":"first","affiliation":[{"name":"Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Science, Zhejiang University, Hangzhou 310058, China"},{"name":"School of Earth Sciences, Zhejiang University, Hangzhou 310058, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ninghua","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Science, Zhejiang University, Hangzhou 310058, China"},{"name":"School of Earth Sciences, Zhejiang University, Hangzhou 310058, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianyu","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China"},{"name":"School of Oceanography, Shanghai Jiao Tong University, Shanghai 200030, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3109-1772","authenticated-orcid":false,"given":"Bowen","family":"Gao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Science, Zhejiang University, Hangzhou 310058, China"},{"name":"School of Earth Sciences, Zhejiang University, Hangzhou 310058, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaochen","family":"Xu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Science, Zhejiang University, Hangzhou 310058, China"},{"name":"School of Earth Sciences, Zhejiang University, Hangzhou 310058, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuhua","family":"Weng","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Science, Zhejiang University, Hangzhou 310058, China"},{"name":"School of Earth Sciences, Zhejiang University, Hangzhou 310058, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinhao","family":"Jiang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Science, Zhejiang University, Hangzhou 310058, China"},{"name":"School of Earth Sciences, Zhejiang University, Hangzhou 310058, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"101310","DOI":"10.1016\/j.ecoinf.2021.101310","article-title":"Analysis on Change Detection Techniques for Remote Sensing Applications: A Review","volume":"63","author":"Afaq","year":"2021","journal-title":"Ecol. 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