Abstract
Fit-for-purpose land administration aims to align cadastral policies, administration and technology selection with the prevailing societal needs and capacity within a country context. It seeks to support delivery of more rapid and low-cost cadastral boundary mapping – and ultimately more widespread land tenure security. The philosophy suggests that when high positional accuracies are not the primary concern, but when time pressure is, high-resolution satellite images can serve as a source for creating cadastral boundary information. This paper explores the potential of mean-shift segmentation plug-in in QGIS to semi-automatically extract cadastral boundaries in rural areas – based on the land cover information from WorldView-2 satellite images. The segmentation gives a vector file satisfying many cadastral boundary requirements and ready to be used in a GIS environment. The buffer overlay method was used to assess the quality of extracted boundaries. For a non-vegetated terrain having visible boundaries, the approach could be taken as an alternative to support existing, relatively slow, boundary mapping approaches by minimizing the effects of manual digitization and surveying.
| Original language | English |
|---|---|
| Pages (from-to) | 75-92 |
| Number of pages | 18 |
| Journal | Journal of spatial science |
| Volume | 63 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 11 Jul 2017 |
Keywords
- boundary mapping
- Cadastre
- feature extraction
- fit for purpose
- mean-shift segmentation
- QGIS
- satellite imagery
- semi-automatic
- ITC-ISI-JOURNAL-ARTICLE
- 22/4 OA procedure