Potential Use of UAV-Based Mapping System to Accelerate the Production of Parcel Boundary Map in Indonesia
Recently, the Ministry of Agrarian Affairs announces a decree to accelerate a completion of the registration of land parcels of cadaster maps up to a scale of 1:1000. It is known that the use of Unmanned Aerial Vehicle based mapping system (UAV-Map) can produce orthophoto image with spatial resolution less than 10 cm, but it is not yet known whether UAV-Map implementation is able to identify boundary of land parcel in any condition. Therefore, this paper would analyze the planimetric accuracy that is conformed to the regulation of State Minister of Agrarian Affairs/Head of National Land Agency No.3, 1997 both for urban and rural areas. Two testing areas are established which located on urban area and rural area respectively. Flight missions are conducted using a fixed-wing aircraft equipped with a consumer grade camera and a navigational grade GPS-INS system. Orthophoto maps are produced by using Agisoft Photoscan software. Digitizing of parcel boundaries are followed both on an existing map and on the orthophoto maps. Deviations in areas are expressed in terms of the RMSE figures. Planimetric accuracies as indicated by the RMSE value are of 0,044 m for urban areas and 0,122 m for rural area. It is showed that all discrepancies of the parcels area are still below the recommended threshold values of the regulation. It is can be concluded that the orthophoto maps obtained by using a low cost UAV-Map system can be used to identify land parcels boundaries and to determine the parcel area.
 Sumarto, I., et al. (2008). Cadastral base mapping activity in Indonesia. FIG Working Week 2008: Integrating Generations, pp. 6.
 Tjahjadi, M. E., et al. (2017). Int. J. Electr. Comput. Eng. vol, 7, pp. 1188–1196.
 Rokhmana, C. A. and Utomo, S. The Low-Cost UAV-Based Remote Sensing System Capabilities for Large Scale Cadaster Mapping, in 2nd International Conference of Indonesian Society for Remote Sensing (ICOIRS), edited by W. Handayani et al. (IOP Conf. Series, Indonesia, 2016), pp. 1–6.
 Rokhmana, C. A. and Bhumi, J. (2013). Agraria. dan Pertanahan, 38, 263–268 (2013).
 Rokhmana, C. A. The Potential Applications of Balloon Photogrammetry For Cadastre Mapping, in Proceeding SEASC. Bali.
 Tjahjadi, M. E., et al. Assessing a 35mm fixed-lens sony alpha-5000 intrinsic parameters prior to, during, and post UAV flight mission, in The 1st International Conference on Geodesy, Geomatics, and Land Administration 2019, AIP Conference Proceeding, (Accepted).
 Tjahjadi, M. E., et al. Assessing stability performance of non-metric camera’s lens distortion model during UAV flight missions, in The 1st International Conference on Geodesy, Geomatics, and Land Administration 2019, AIP Conference Proceeding, (Accepted).
 Sai, S. S., et al. Geometric accuracy assessments of orthophoto production from uav aerial images, in The 1st International Conference on Geodesy, Geomatics, and Land Administration 2019, AIP Conference Proceeding, (Accepted).
 Clark, A. F., et al. (2010). IAPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 28, 5, 167–171.
 Niethammer, U., et al. (2010). IAPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 28, 5, 496–500 (2010).
 Sioulis, A., et al. (2015). Int. J. Geomatics Geosci. 6, 1597–1606.
 Cai, C., et al. (2013). Navigation. Vol. 66, pp. 417–434.
 Odijk, D., et al. (2014). Single-Frequency PPP-RTK: Theory and Experimental Results, in Earth on the Edge: Science for a Sustainable Planet, edited by C. Rizos and P. Willis (Springer Berlin Heidelberg, Berlin-Heidelberg), pp. 571–578.
 Carlson, D. F. and Rysgaard, S. (2018). MethodsX 5, 1059–1072.
 Stöcker, C., et al. (2017). IAPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 42, 2/W6, 355–361.
 Baker, M. E. (2013). Biodivers. Data J. (1): e973.