{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T16:02:46Z","timestamp":1775664166949,"version":"3.50.1"},"reference-count":226,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T00:00:00Z","timestamp":1741305600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"FCT\/MECI","award":["10.54499\/UIDB\/50008\/2020"],"award-info":[{"award-number":["10.54499\/UIDB\/50008\/2020"]}]},{"name":"FCT\/MECI","award":["UID\/50008"],"award-info":[{"award-number":["UID\/50008"]}]},{"name":"EU funds","award":["10.54499\/UIDB\/50008\/2020"],"award-info":[{"award-number":["10.54499\/UIDB\/50008\/2020"]}]},{"name":"EU funds","award":["UID\/50008"],"award-info":[{"award-number":["UID\/50008"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This meta-survey provides a comprehensive review of 3D point cloud (PC) applications in remote sensing (RS), essential datasets available for research and development purposes, and state-of-the-art point cloud compression methods. It offers a comprehensive exploration of the diverse applications of point clouds in remote sensing, including specialized tasks within the field, precision agriculture-focused applications, and broader general uses. Furthermore, datasets that are commonly used in remote-sensing-related research and development tasks are surveyed, including urban, outdoor, and indoor environment datasets; vehicle-related datasets; object datasets; agriculture-related datasets; and other more specialized datasets. Due to their importance in practical applications, this article also surveys point cloud compression technologies from widely used tree- and projection-based methods to more recent deep learning (DL)-based technologies. This study synthesizes insights from previous reviews and original research to identify emerging trends, challenges, and opportunities, serving as a valuable resource for advancing the use of point clouds in remote sensing.<\/jats:p>","DOI":"10.3390\/s25061660","type":"journal-article","created":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T12:22:52Z","timestamp":1741350172000},"page":"1660","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Three-Dimensional Point Cloud Applications, Datasets, and Compression Methodologies for Remote Sensing: A Meta-Survey"],"prefix":"10.3390","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0262-5595","authenticated-orcid":false,"given":"Emil","family":"Dumic","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, University North, 104. Brigade 3, 42000 Vara\u017edin, Croatia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1141-4404","authenticated-orcid":false,"given":"Lu\u00eds A.","family":"da Silva Cruz","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Coimbra, 3030-290 Coimbra, Portugal"},{"name":"Instituto de Telecomunica\u00e7\u00f5es, 3030-290 Coimbra, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2025,3,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1007\/s11192-009-0146-3","article-title":"Software survey: VOSviewer, a computer program for bibliometric mapping","volume":"84","author":"Waltman","year":"2010","journal-title":"Scientometrics"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1080\/10095020.2023.2175478","article-title":"Progress and perspectives of point cloud intelligence","volume":"26","author":"Yang","year":"2023","journal-title":"Geo-Spat. Inf. 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