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Article
Author(s)
Paul K. Towett Tubei, and Patroba Achola Odera
Full-Text PDF XML 4621 Views
DOI:10.17265/2332-8223/2016.02.005
Affiliation(s)
Department of Geomatic Engineering and Geospatial Information Systems, Jomo Kenya University of Agriculture and Technology, Kenya
ABSTRACT
This paper explores potential of Remote Sensing and Geospatial
Information Systems as viable tools for data collection, processing,
transformation and adjustment of cadastral data discrepancies often noted by
geospatial practitioners during rasterization and vectorization of land related
data. Necessary datasets were collected employing main
approach/procedure of scanning, georeferencing, digitization,
transformation and analysis in that order, to amalgamate and harmonize all
datasets into one common projection and coordinate system (Universal Transverse
Mercator (UTM) on Arc-Datum 1960). Discrepancies in derived areas against
recorded values in land registries were noted, smaller parcels exhibited
smaller discrepancies and vice versa. Discrepancies were
found to be directly proportional to the parcel areas/sizes although large
parcels (> 1000 m2)
exhibited abnormally high discrepancies. This procedure yielded systematic
discrepancies that could be minimized by use of a fifth order polynomial.
Resultant residuals were found to be tolerably low and could be ignored for
small parcels (< 1000 m2). Final
outputs included automated GIS geodatabase cadastre, containing cadastral
attributes harmonized to one projection and coordinate system that can be
overlaid to other datasets from engineering design and construction works,
geological and geotechnical investigation surveys, etc. tied to Remote Sensing data
without the requirement of further transformations.
KEYWORDS
Coordinate transformation, georeferencing, projection systems, cadastre, spatial data discrepancies, spatial data harmonization.
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