Description
This Ph.D. research introduces an approach that simplifies image-based cadastral mapping. We develop an automated cadastral boundary delineation approach that is applicable to remote sensing data of high-resolution. The approach is designed for areas, in which boundaries are demarcated by physical objects and are thus visible. Areas for early development are European rural areas in France and Germany. Areas of later investigation are East African developing countries including Kenya, Rwanda, and Ethiopia. The data contain remote sensing data, as well as scripts and info on the method development.
Land administration, Computer science
Land administration, Computer science
| Date made available | 12 Sept 2019 |
|---|---|
| Publisher | DATA Archiving and Networked Services (DANS) |
| Temporal coverage | 1850 - 2019 |
| Geographical coverage | Africa (Namibia, Kenya, Rwanda, and Ethiopia), Europe (France, Germany) |
Research output
- 9 PhD Thesis - Research UT, graduation UT
-
Quantifying the role of microphytobenthos in temperate intertidal ecosystems using optical remote sensing
Daggers, T. D., 25 Feb 2021, Enschede: University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). 202 p.Research output: Thesis › PhD Thesis - Research UT, graduation UT
Open AccessFile634 Downloads (Pure) -
Debris, rubble piles and façade damage detection using multi-resolution optical remote sensing imagery
Duarte, D., 23 Jan 2020, Enschede: University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). 148 p.Research output: Thesis › PhD Thesis - Research UT, graduation UT
Open AccessFile396 Downloads (Pure) -
Indoor 3D reconstruction of buildings from point clouds
Nikoohemat, S., 21 Oct 2020, Enschede: University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). 191 p.Research output: Thesis › PhD Thesis - Research UT, graduation UT
Open AccessFile358 Downloads (Pure)
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