Geometric Accuracy Assessment of Land Registration Maps for Supporting the Program of Systematic Complete Land Registration Using QuickBird Satellite Imagery

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U.W. Deviantari
A.B. Cahyono

Abstract

Based on the Regulation of the Ministry of Agrarian Indonesia No. 3 of 1997 article 12 paragraph 1 states the measurement and mapping for the manufacture of registration base maps is carried out by terrestrial, photogrammetric or other methods. Other data used in the study are with spatial resolution of 0.6 meters and 2.4 meters in panchromatic band and multispectral bands, respectively. By using of Quickbird imagery, geospatial information for complete land administration purposes is built faster terrestrial methods. Data processing is carried out by the CE90 accuracy test process in accordance with Perka BIG Number 15 of 2014. The comparation of the distance measured in the field and in the satellite imagery was also conducted and statistical t-test was adopted to investigating the significant difference between these two measurements. The results of this study indicate that the standard deviation value obtained from the distance measurement in the field shows large planimetric accuracy which is equal to 0.245 meters with 17 samples of object. This planimetric accuracy value meets the scale of 1: 1000, the tolerance is greater or equal to 0.3 mm on the map scale. The value of horizontal accuracy is 0.725 meters according to the maximum value of CE90. Based on the regulations issued by the Minister of Agraruan Affairs, Indonesia, Quickbird satellite imagery is an alternative method that can be  used for making a registered base map scale of 1:25000 and 1:10000 because the accuracies derived from the satellite imagery meet the requirement given by the The Implementation Of Government Regulation No.24/1997.

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How to Cite
Deviantari, U., & Cahyono, A. (2020). Geometric Accuracy Assessment of Land Registration Maps for Supporting the Program of Systematic Complete Land Registration Using QuickBird Satellite Imagery. International Journal of Geoinformatics, 16(2), 78–87. Retrieved from https://journals.sfu.ca/ijg/index.php/journal/article/view/1823
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