LiDAR derived shack footprint for the City of Cape Town, South Africa
Bibliographic Data
| ID | 21540506 |
|---|---|
| Authors | Moreblessings Shoko (0000-0002-9592-0576, University of Cape Town, corresponding author), Julian Smit (0000-0001-8664-8059, University of Cape Town), Julian Lloyd Smit (University of Cape Town) |
| Year | 2022 |
| Volume | 104 |
| Issue | 1 |
| Pages | 1-15 |
| Publication date | 2022-01-02 |
| Open Access | No |
| Type | ARTICLE |
| Venue | South African Geographical Journal (JOURNAL) |
| Journal identifiers | ISSN: 0373-6245 • E-ISSN: 2151-2418 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/03736245.2020.1863253 |
| OpenAlex | W3115869000 |
| Language | EN |
| Citations received | 2 |
| References cited | 8 |
Shack extraction is a growing application area for solving contemporary geographical complexities in developing countries. Traditional ground-based surveys that provided shack counts are being overtaken by the opportunities around rapid advances in spatial data collection. The ability to automate and report high accuracies against ground truth remains key to the complex nature of the digital shack extraction matrix. This study uses 8 cm aerial footage and laser scanning data to map informal settlement areas within built environments. The research design includes a set of experiments in defining the footprint of shacks obtained through profiling sampled shack/non-shack areas. Average shack heights, behaviour of unclassified points, number of non-ground points, scan texture and intensity variations were investigated. A five-parameter signature was applied to a pit-free normalized digital surface model (NDSM) and as expected on both test and validation, proved suitable for distinct shacks identification. This approach reported a 95% large settlement detection within a 1-metre-wide boundary position tolerance, coupled with a few false positives in isolated cases of multi-storey, sheds and also complex shacks. The results are proposed for inclusion in city-wide urban planning frameworks that can also be tweaked to include social and environmental parameters
Archaeology · Cartography · Footprint · Geography · Ground truth · Lidar · Remote sensing · 3D Surveying and Cultural Heritage · Computer Science · Land Use and Ecosystem Services · Mathematics · Remote Sensing and LiDAR Applications · Artificial Intelligence
| Citations per year | 0.67 |
|---|---|
| Citation span | 2023 - 2025 (3) |
| Highly cited | No |