Remote Sensing for Land Administration

Land administration constitutes the socio-technical systems that govern land tenure, use, value and development within a jurisdiction. The land parcel is the fundamental unit of analysis. Each parcel has identifiable boundaries, associated rights, and linked parties. Spatial information is fundamental. It represents the boundaries between land parcels and is embedded in cadastral sketches, plans, maps and databases. The boundaries are expressed in these records using mathematical or graphical descriptions. They are also expressed physically with monuments or natural features. Ideally, the recorded and physical expressions should align, however, in practice, this may not occur. This means some boundaries may be physically invisible, lacking accurate documentation, or potentially both. Emerging remote sensing tools and techniques offers great potential. Historically, the measurements used to produce recorded boundary representations were generated from ground-based surveying techniques. The approach was, and remains, entirely appropriate in many circumstances, although it can be timely, costly, and may only capture very limited contextual boundary information. Meanwhile, advances in remote sensing and photogrammetry offer improved measurement speeds, reduced costs, higher image resolutions, and enhanced sampling granularity. Applications of unmanned aerial vehicles (UAV), laser scanning, both airborne and terrestrial (LiDAR), radar interferometry, machine learning, and artificial intelligence techniques, all provide examples. Coupled with emergent societal challenges relating to poverty reduction, rapid urbanisation, vertical development, and complex infrastructure management, the contemporary motivation to use these new techniques is high. Fundamentally, they enable more rapid, cost-effective, and tailored approaches to 2D and 3D land data creation, analysis, and maintenance. This Special Issue hosts papers focusing on this intersection of emergent remote sensing tools and techniques, applied to domain of land administration.

[1]  Krištof Oštir,et al.  Extraction of Visible Boundaries for Cadastral Mapping Based on UAV Imagery , 2019, Remote. Sens..

[2]  Ian Williamson,et al.  Land administration and cadastral trends — a framework for re-engineering , 2001 .

[3]  Walter Timo de Vries,et al.  Bridging the Semantic Gap between Land Tenure and EO Data: Conceptual and Methodological Underpinnings for a Geospatially Informed Analysis , 2020, Remote. Sens..

[4]  P. V. Oosterom,et al.  3D Land Administration for 3D Land Uses , 2020, Land Use Policy.

[5]  Rohan Bennett,et al.  The land administration domain model , 2015 .

[6]  Abbas Rajabifard,et al.  On the need for national land administration infrastructures , 2012 .

[7]  Claudio Persello,et al.  Deep Fully Convolutional Networks for Cadastral Boundary Detection from UAV Images , 2019, Remote. Sens..

[8]  George Vosselman,et al.  Innovative Remote Sensing Methodologies for Kenyan Land Tenure Mapping , 2020, Remote. Sens..

[9]  Michael Ying Yang,et al.  Application of Deep Learning for Delineation of Visible Cadastral Boundaries from Remote Sensing Imagery , 2019, Remote. Sens..

[10]  Javier Morales,et al.  Towards 3D Indoor Cadastre Based on Change Detection from Point Clouds , 2019, Remote. Sens..

[11]  J. Zevenbergen,et al.  Fitted, Green, and Volunteered: Legal and Survey Complexities of Future Boundary Systems , 2012 .

[12]  Charles K. Toth,et al.  Remote sensing platforms and sensors: A survey , 2016 .

[13]  J. Zevenbergen,et al.  Pro-poor land administration: Towards practical, coordinated, and scalable recording systems for all , 2019, Land Use Policy.

[14]  Ahram Song,et al.  Discrepancy Analysis for Detecting Candidate Parcels Requiring Update of Land Category in Cadastral Map Using Hyperspectral UAV Images: A Case Study in Jeonju, South Korea , 2020, Remote. Sens..

[15]  J. Zevenbergen,et al.  The Cadastral triangular model , 2020, Land Use Policy.

[16]  Rohan Bennett,et al.  On the nature and utility of natural boundaries for land and marine administration. , 2010 .

[17]  Rohan Bennett,et al.  Unmanned Aerial System Imagery, Land Data and User Needs: A Socio-Technical Assessment in Rwanda , 2019, Remote. Sens..

[18]  Ian Williamson,et al.  Organising land information for sustainable land administration , 2008 .

[19]  Rohan Bennett,et al.  Participatory Land Administration on Customary Lands: A Practical VGI Experiment in Nanton, Ghana , 2017, ISPRS Int. J. Geo Inf..

[20]  J. Zevenbergen,et al.  Cross-cutting challenges to innovation in land tenure documentation , 2019, Land Use Policy.

[21]  Rohan Bennett,et al.  Pro-poor land administration: Principles for recording the land rights of the underrepresented , 2013 .

[22]  Rohan Mark Bennett,et al.  Transformations, transitions, or tall tales? A global review of the uptake and impact of NoSQL, blockchain, and big data analytics on the land administration sector , 2019, Land Use Policy.

[23]  Michael Ying Yang,et al.  Review of Automatic Feature Extraction from High-Resolution Optical Sensor Data for UAV-Based Cadastral Mapping , 2016, Remote. Sens..

[24]  Erik Stubkjær,et al.  Doctoral research on cadastral development , 2009 .

[25]  Ian Williamson,et al.  Building modern land administration systems in developed economies , 2005 .