{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T22:26:08Z","timestamp":1775082368707,"version":"3.50.1"},"reference-count":9,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2022,9,2]],"date-time":"2022-09-02T00:00:00Z","timestamp":1662076800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Contemporary land administration (LA) systems incorporate the concepts of cadastre and land registration. Conceptually, LA is part of a global land management paradigm incorporating LA functions such as land value, land tenure, land development, and land use. The implementation of land-related policies integrated with well-maintained spatial information reflects the aim set by the United Nations to deliver tenure security for all (Sustainable Development Goal target 1.4, amongst many others). Innovative methods for data acquisition, processing, and maintaining spatial information are needed in response to the global challenges of urbanization and complex urban infrastructure. Current technological developments in remote sensing and geo-spatial information science provide enormous opportunities in this respect. Over the past decade, the increasing usage of unmanned aerial vehicles (UAVs), satellite and airborne-based acquisitions, as well as active remote sensing sensors such as LiDAR, resulted in high spatial, spectral, radiometric, and temporal resolution data. Moreover, significant progress has also been achieved in automatic image orientation, surface reconstruction, scene analysis, change detection, classification, and automatic feature extraction with the help of artificial intelligence, spatial statistics, and machine learning. These technology developments, applied to LA, are now being actively demonstrated, piloted, and scaled. This Special Issue hosts papers focusing on the usage and integration of emerging remote sensing techniques and their potential contribution to the LA domain.<\/jats:p>","DOI":"10.3390\/rs14174359","type":"journal-article","created":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T04:18:32Z","timestamp":1662610712000},"page":"4359","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Remote Sensing for Land Administration 2.0"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7612-5270","authenticated-orcid":false,"given":"Mila","family":"Koeva","sequence":"first","affiliation":[{"name":"ITC Faculty, University of Twente, 7514 AE Enschede, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1200-2068","authenticated-orcid":false,"given":"Rohan","family":"Bennett","sequence":"additional","affiliation":[{"name":"Swinburne School of Business, Law and Entrepreneurship, Swinburne University of Technology, Hawthorn, VIC 3122, Australia"},{"name":"Kadaster International, The Netherlands Cadastre, Land Registry and Mapping Agency, 7300 GH Apeldoorn, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3742-5398","authenticated-orcid":false,"given":"Claudio","family":"Persello","sequence":"additional","affiliation":[{"name":"ITC Faculty, University of Twente, 7514 AE Enschede, The Netherlands"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,2]]},"reference":[{"key":"ref_1","unstructured":"Nations, U. (2021, May 25). Home | Sustainable Development. Available online: https:\/\/sdgs.un.org\/."},{"key":"ref_2","unstructured":"UNECE (1996). Land Administration Guidelines, With Special Reference to Countries in Transition; United Nations Publication."},{"key":"ref_3","unstructured":"Conforti, P. (2011). Looking Ahead in World Food and Agriculture: Perspectives to 2050, Food and Agriculture Organization of the United Nations (FAO)."},{"key":"ref_4","unstructured":"Enemark, S., Bell, K., Lemmen, C., and McLaren, R. (2014). Fit-for-Purpose Land Administration, International Federation of Surveyors."},{"key":"ref_5","unstructured":"UN-GGIM (2019). Framework for Effective Land Administration, United Nations Committee of Experts on Global Geospatial Information Management. A Reference for Developing, Reforming, Renewing, Strengthening or Modernizing Land Administration."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1109\/MGRS.2021.3136100","article-title":"Deep Learning and Earth Observation to Support the Sustainable Development Goals","volume":"10","author":"Persello","year":"2021","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Xia, X., Persello, C., and Koeva, M. (2019). Deep Fully Convolutional Networks for Cadastral Boundary Detection from UAV Images. Remote Sens., 11.","DOI":"10.3390\/rs11141725"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Koeva, M., Humayun, M.I., Timm, C., St\u00f6cker, C., Crommelinck, S., Chipofya, M., Bennett, R., and Zevenbergen, J. (2021). Geospatial Tool and Geocloud Platform Innovations: A Fit-for-Purpose Land Administration Assessment. Land, 10.","DOI":"10.3390\/land10060557"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Bennett, R., Oosterom, P., van Lemmen, C., and Koeva, M. (2020). Remote sensing for land administration. Remote Sens., 12.","DOI":"10.3390\/rs12152497"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/17\/4359\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:22:26Z","timestamp":1760142146000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/17\/4359"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,2]]},"references-count":9,"journal-issue":{"issue":"17","published-online":{"date-parts":[[2022,9]]}},"alternative-id":["rs14174359"],"URL":"https:\/\/doi.org\/10.3390\/rs14174359","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9,2]]}}}