Dear Colleagues,

The United Nations’ sustainable development goal (SDG), particularly indicator 1.4.2, promotes tenure security for all. Despite this, based on global estimates, around 70% of land to people’s relationships are still not recorded. This fact is mainly due to the expensive and time-consuming nature of the conventional systems for land registration such as the use of high-precision ground survey methods. In this regard, this Special Issue aims at gathering innovative solutions in the field of 2D and 3D land administration. Over the past decade, there has been significant progress in the usage of active and passive remote sensing techniques such as RGB and multispectral sensors, LiDAR, RADAR, etc. In addition, artificial intelligence (AI) methods have been extensively explored and tested for cadastral boundary extraction. The developments towards the 3^rd dimension should also not be left unmentioned. Therefore, building from the popularity of the previously published two Special Issues related to the usage of remote sensing techniques for land administration, in the current Special Issue, we encourage submissions on topics such as:

• Innovative remote sensing AI-based methods in support of cadastral mapping
• 2D and 3D land registration, valuation and taxation
• Geospatial data acquisition, processing and modelling in support of 2D and 3D land tenure recording
• Design and testing of innovative methods based on remotely sensed data for cadastre boundary extraction

Dr. Mila Koeva
Dr. Rohan Bennett
Dr. Claudio Persello
Prof. Dr. Peter Van Oosterom
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• artificial intelligence for LA
• machine learning for LA
• 2D/3D land data
• automatic feature extraction
• land valuation and taxation
• 2D/3D land use planning and development