1
M.Sc. of GIS, K.N. Toosi University of Technology
2
Associate Prof of GIS, K.N. Toosi University of Technology
3
Prof. of GIS, K.N. Toosi University of Technology
Abstract
All of the old paper-based land documents should be transformed to digital georeferenced form. Indigitization of parcels to be able to be imported into a cadastral system, the area of the digital form ofthe polygon should be in concordance with the analog document. However, during the digitizationprocess, geometric properties, such as area, changes. Preserving the dimensions and area prevents thecontradiction in documents and, registration and trading quarrels. In order to solve this problem,angles of the polygon vertexes are considered as observations by keeping the dimensions fixed and amethod based on the least-square adjustment is proposed. Executing the invented process, therequired concordance is acquired. For checking this method, a paper map having six parcels each withabout one thousand m2 area in 1:1000 scale is scanned and digitized by preserving area anddimensions. Results showed that the mean, maximum and minimum movement by using adjustingmethod is in average 19.31, 26.96 and 10.50 respectively that is acceptable from the land registrationaspect because of map scale and cadastral law about cultivation and national parcels.
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Hazeghi Aghdam, A., Helali, H., & Alesheikh, A. A. (2018). Making Digitization of Land Parcels Precise by Preserving Area and Dimensions. Iranian Journal of Remote Sensing & GIS, 10(2), 33-44.
MLA
Arash Hazeghi Aghdam; Hossain Helali; Ali Asghar Alesheikh. "Making Digitization of Land Parcels Precise by Preserving Area and Dimensions", Iranian Journal of Remote Sensing & GIS, 10, 2, 2018, 33-44.
HARVARD
Hazeghi Aghdam, A., Helali, H., Alesheikh, A. A. (2018). 'Making Digitization of Land Parcels Precise by Preserving Area and Dimensions', Iranian Journal of Remote Sensing & GIS, 10(2), pp. 33-44.
VANCOUVER
Hazeghi Aghdam, A., Helali, H., Alesheikh, A. A. Making Digitization of Land Parcels Precise by Preserving Area and Dimensions. Iranian Journal of Remote Sensing & GIS, 2018; 10(2): 33-44.