Remote Sensing for Land Administration 2.0

• Other Authors: Koeva, Mila (Editor), Bennett, Rohan (Editor), Persello, Claudio (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: Technology: general issues; History of engineering & technology; UAV; cadastral mapping; data quality; geometric accuracy; impact assessment; ground control points; feature extraction; flight plan; image segmentation; deep-learning; building outlines; cadastre modernization; FCN; high-resolution aerial orthoimages; LiDAR data; remote sensing; land tenure; land administration; geospatially informed analysis; knowledge co-production; land; visible boundary; deep learning; neural network; classification; building footprint extraction; cadastre; change detection; VHR aerial images; property valuation; property taxation; photogrammetry; aerial imagery; HRSI; lidar; artificial intelligence; cadastral survey; detail survey; handheld LiDAR scanner; calibration; LiDAR system; segmentation; edge detection; agricultural land boundary; LiDAR; automated feature extraction; cadaster; land registration; land use planning
• Online Access: DOAB: download the publication; DOAB: description of the publication

Summary

The reprint "Land Administration 2.0" is an extension of the previous reprint "Remote Sensing for Land Administration", another Special Issue in Remote Sensing. This reprint unpacks the responsible use and integration of emerging remote sensing techniques into the domain of land administration, including land registration, cadastre, land use planning, land valuation, land taxation, and land development. The title was chosen as "Land Administration 2.0" in reference to both this Special Issue being the second volume on the topic "Land Administration" and the next-generation requirements of land administration including demands for 3D, indoor, underground, real-time, high-accuracy, lower-cost, and interoperable land data and information.

Physical Description

1 electronic resource (244 p.)

ISBN

books978-3-0365-5408-2
9783036554082
9783036554075

Access

Open Access