Current Science

Open Access Open Access  Restricted Access Subscription Access

Precise Mosaicing of Mouza Plans for the Preparation of Digital Cadastral Map Using GNSS


Affiliations
1 CSIR-Central Institute of Mining and Fuel Research, Dhanbad 826 015, India
 

Global Navigation Satellite System (GNSS), an advanced surveying system, is used to determine three-dimensional points accurately. The present study was conducted in Kasta East Coal Block of the West Bengal Power Development Corporation Limited (WBPDCL), India, focusing on data generation, establishing boundary coordinates and mosaicing of mouza plans using real-time kinematic approach. Base station and primary control points were established by the static method. It evaluates the geospatial information using GNSS and quantification of the accuracy of the geo-referenced cadastral map of kasta east coal block of WBPDCL. Scanned mouza plans were converted to vector format through AutoCAD, oriented and placed precisely with the help of established ground control points. The features of the cadastral map were tuned by superimposing the vector cadastral map of the study area. Assessment of the vector cadastral map showed better accuracy and less distortion in large-area parcels/khasras. More variations were observed in small-area khasras. Similarly, smaller mouzas showed more variation compared to larger ones. Distortions were due to manual error in digitization and technical error in scanning. The methodology of mosaicing presented here will be useful for updating the cadastral maps with improved precision in digital cadastral plan preparation.

Keywords

Cadastral Maps, Digitization, Georeferencing, Mosaicing, Satellite System.
User
Notifications
Font Size

  • Prakash, A. et al., Evolution of DGPS data with Global Navigation Satellite System (GNSS) using handheld GPS. In Modern Trends in Mine Surveying, Department of Mining Engineering, Indian School of Mines, Dhanbad, 2012, pp. 153–171.

  • Roa, G. S., Global Navigation Satellite System with Essentials of Satellite Communications, Tata McGraw Hill Publishing Co Ltd, 2010, pp. 1–478; ISBN: 9781283187107.

  • Li, X. et al., Precise positioning with current multi-constellation global navigation satellite systems: GPS, GLONASS, Galileo and BeiDou. Sci. Rep. 5, 2015, 8328, 1–14; https://doi.org/10.1038/srep08328.

  • Cheng, L. et al., Development of BeiDou satellite-based augmentation system. Navigation: J. Inst. Navig., 2021, 68, 405–417; https://doi.org/10.1002/navi.422.

  • Lechner, W. and Baumann, S., Global navigation satellite systems. Comput. Electron. Agric., 2000, 25(1–2), 67–85; https://doi.org/10.1016/S01681699(99)00056-3.

  • Puente, I. et al., Review of mobile mapping and surveying technologies. Measurement, 2013, 46, 2127–2145; https://doi.org/10.1016/j.measurement.2013.03.006.

  • Ahmad, E. S. et al., Evaluating the performance of using PPK–GPS technique in producing topographic contour map. J. Mar. Geod., 2017, 40, 224–238; https://doi.org/10.1080/01490419.2017.1321594.

  • El-Sheimy, N. and Li, Y., Indoor navigation: state of the art and future trends. Satell. Navig., 2021, 2, 1–23; https://doi.org/10.1186/s43020-021-00041-3.

  • Hofmann wellenhof, A. et al., GPS: Theory and Practice, Springer-Verlag Wien, New York, USA, 2001, vol. 5, pp. 1–352; https://doi.org/10.1007/978-3-7091-6199-9.

  • http://www.geoid.si/en/geodetic-engineering/gnss-measurement.html.2007 (accessed on 4 April 2022).

  • Davidovic, M. and Mijic, N., Analysis of the influence of satellites constellation in GNSS positioning accuracy. Ann. Facult. Eng. Hunedoara – Int. J. Eng. 2017, XV, 141–148; ISSN: 1584-2665.

  • Duggal, S. K., Surveying, Tata McGraw-Hill Education Private Limited, 2009, vol. 2, pp. 1–425; ISBN: 0070151350.

  • Jayroe, R. R. et al., Computer and photogrammetric general land use study of Central North Alabama. Nasa Technical Report TR R 431, Washington DC, USA, 1974, pp. 1–104.

  • Dadras, M., Land use/cover change detection and urban sprawl analysis in Bandar Abbas City, Iran. Sci. World J., 2014, 2014, 1–12; https://doi.org/10.1155/2014/690872.

  • Chaudhari, K. M. and Bhaidasna, H., A survey on image mosaicing using feature based approach. Int. J. Eng. Develop. Res., 2017, 5, 565–568; ISSN: 2321-9939.

  • D’Angeloa, P. et al., Automated DSM based georeferencing of CARTOSAT-1 stereo scenes. In International Archives of Photo-grammetry and Remote Sensing, IPI-Workshop, Hannover, Germany, 2009, pp. 1–6.

  • Felus, Y. A., On the positional enhancement of digital cadastral maps. Surv. Rev., 2013, 39, 268–281; https://doi.org/10.1179/175227007-X197183.

  • Cole, A. M. and Wilson, D. A., Land Tenure, Boundary Surveys and Cadastral Systems. CRC Press Taylor and Francis, 2016, pp. 1–207; ISBN: 9781315369990.

  • Crommelinck, S. et al., Contour detection for UAV-based cadastral mapping. Remote Sensing, 2017, 9, 1–13; https://doi.org/10.3390/rs9020171.

  • Hussain, M. and Al-Bakri, M., Investigating the effect of cartographic properties on updating cadastral maps. IOP Conf. Ser.: Mater. Sci. Eng., 2020, 1090, 1–10; https://doi.org/10.1088/1757-899X/1090/1/012061.

  • Jaiswal, R. K. et al., Use of cadastral land use information for planning: the amenities of the new residential layout. Geocarto Int., 2011, 27(3), 221–230; https://doi.org/10.1080/10106049.2011.611599.

  • Sengupta, A. et al., Constructing a seamless digital cadastral database using colonial cadastral maps and VHR imagery – an Indian perspective. Surv. Rev., 2016, 48, 258–268; https://doi.org/10.1179/1752270615Y.0000000003.

  • Raju, K. N. P. et al., Urban cadastral mapping using very high resolution remote sensing data. J. Indian Soc. Remote Sensing, 2008, 36, 283–288; https://doi.org/10.1007/s12524-008-0029-8.

  • Mondal, S. et al., Land information system using cadastral techniques, mining area of Raniganj, Barddhaman district, India. Int. J. Remote Sensing Appl., 2015, 5, 45–53; https://doi.org/10.14355/ijrsa.2015.05.005.

  • Maryada, A. et al., Cadastral map digitization using geospatial technology – a case study of four villages of Warangal district, Telangana State, India. Them. J. Geogr., 2019, 8, 746–757; ISSN 22772995.

  • Lieske, S. N. and Gribb, W. J., Modeling high-resolution spatio-temporal land-use data. Appl. Geogr., 2012, 35, 283–291; https://doi.org/10.1016/j.apgeog.2012.06.001.

  • Hanus, P. et al., Comprehensive assessment of the quality of spatial data in records of parcel boundaries. Measurement, 2020, 158(107665), 1–10; https://doi.org/10.1016/j.measurement.2020.107665.

  • Ghawana, T. et al., 3D cadastres in India: examining the status and potential for land administration and management in Delhi. Land Use Policy, 2020, 98(104389), 1–11; https://doi.org/10.1016/j.land-usepol.2019.104389.

  • Ilyushina, T. V. et al., Cadastral system in the Russian Federation after the modern transformation. Surv. Rev., 2017, 50, 268–281; https://doi.org/10.1080/00396265.2017.1308700.

  • Jing, Y. et al., Up-to-dateness in land administration: setting the record straight. In Proceedings of FIG working week 2013, Abuja, Nigeria, Environment for Sustainability; FIG, Copenhagen, 2014, pp. 37–44; ISBN: 9788792853059.

  • Thompson, R. J., A model for the creation and progressive improvement of a digital cadastral data base. Land Use Policy, 2015, 49, 565–576; https://doi.org/10.1016/j.landusepol.2014.12.016.

  • Chichocinski, P., Digital cadastral maps in land information systems. Liber Q., 1999, 2, 211–221; ISSN 1435-52059; https://doi.org/10.18352/lq.7535.

  • Kurwakumire, E., Digital cadastres facilitating land information management. S. Afr. J. Geomat., 2014, 3(1), 64–77.

  • Hernandez, A., Mining cadastre in Tanzania. In FIG Working Week, Paris, France, 2003, pp. 1–13.

  • Kumar, V. V. G. et al., Updation of cadastral maps using high resolution remotely sensed data. Int. J. Eng. Adv. Technol., 2013, 2, 50–54; ISSN: 22498958.

  • Habibullah, W. and Ahuja, M. (eds), Land Reforms in India – Computerization of Land Records, SAGE Publications Pvt Ltd, New Delhi, 2005, pp. 1–315.

  • GoI, The Digital India Land Records Modernization Programme, Department of Land Resource, Ministry of Rural Development, Government of India, 2018–19, pp. 1–245; https://dolr.gov.in/sites/default/files/Final%20%20Guideline%20of%20DILRMP%2002-01-2019.pdf (accessed on 5 April 2022).

  • IBM Circular No. 2/2010 Detailed Project Report Mining Tenement System, National Informatics Centre and IBM, pp. 1–102; https://ibm.gov.in/writereaddata/files/02022017152243Final%20-MTS%20DPR.pdf, 2010 (accessed on 2 April 2022).

  • Rizos, A. et al., GPS projects: some planning issues, In Manual of Geospatial Science and Technology (eds Bossler, J. D. et al.), Taylor and Francis, London, UK, 2010, vol. 2, pp. 191–214; https://doi.org/10.1201/9781420087345.

  • Mora, O. E. et al., Accuracy of stockpile estimates using low-cost sUAS photogrammetry. Int. J. Remote Sensing, 2020, 41, 4512–4529; https://doi.org/10.1080/01431161.2020.1723167.

  • Tut, I. et al., Efficiency of Bernese single baseline rapid static positioning solutions with search strategy. Surv. Rev., 2013, 45, 296–304; https://doi.org/10.1179/1752270612Y.0000000038.

  • Verma, A. et al., Accuracy of Global Navigation Satellite System methods in surveying: some investigations. In International Conference and Exhibition on Energy and Environment – Challenges and Opportunities (ENCO-2019), CSIR-Central Institute of Mining and Fuel Research, 2019, pp. 620–624.

  • Teunissen, J. G. P. and Montenbruck, O. (eds), Springer Handbook of Global Navigation Satellite Systems, Springer International Publishing, AG, 2017, pp. 1–1335; ISBN: 9783030731724, https://doi.org/10.1007/978-3-319-42928-1.

  • Bhatta, B., Global Navigation Satellite Systems: New Technologies and Applications, CRC Press Taylor and Francis, 2021, vol. 2, pp. 1–386; ISBN 9781003148753.

  • Suh, Y. C., Automatic delineation of sky view in urban canyons by 3-dimensional GIS. KSCE J. Civ. Eng., 2004, 8, 227–232; https://doi.org/10.1007/BF02829122.

  • Daniel Larry, E. and Daniel, L. E., Digital Forensics for Legal Professionals, Understanding Digital Evidence from the Warrant to the Courtroom, Syngress, Elsevier, USA, 2012, pp. 309–319; https://doi.org/10.1016/B978-1-59749-643-8.00045-6.

  • Dawidowiz, K. and Krzan, G., Accuracy of single receiver static GNSS measurements under conditions of limited satellite availability. Surv. Rev., 2014, 46, 278–287; https://doi.org/10.1179/1752270613Y.0000000082.

  • Zangenehnejad, C. and Gao, Y., GNSS smartphones positioning: advances, challenges, opportunities, and future perspectives. Satell. Navig, 2021, 24, 1–23; https://doi.org/10.1186/s43020-021-00054-y.

  • Ruijie, X. et al., Bridge monitoring using multi-GNSS observations with high cutoff elevations: a case study. Measurement, 2021, 168(108303), 1–13; https://doi.org/10.1016/j.measurement.2020.108303.

  • Lohmar, F. J., World Geodetic System 1984 – geodetic reference system of GPS orbits. In GPS Techniques Applied to Geodesy and Surveying (eds Groten, E. and Strauß, R.), Lecture Notes in Earth Sciences, Springer, Berlin, Germany, 1988, vol. 19, pp. 476–477; https://doi.org/10.1007/BFb0011360.

  • Langley, R. B., Dilution of precision. GPS World, 1999, 10, 52–59.

  • Khan, S. et al., Automated digital archive for land registration and records. Int. Technol. Manage. Rev., 2009, 2, 50–65; doi:10.2991/itmr.2009.2.1.4.

  • McLaughlin, J. D., The Nature, Function and Design Concepts of Multipurpose Cadastres, University of Wisconsin-Madison, USA, 1975, pp. 1–362.

  • Williamson, P. I., Coordinated cadastres – a key to building future GIS. In Proceedings of the Regional Conference on Managing Geographic Information Systems for Success, Melbourne, Australia, 1996, pp. 60–69.

  • Anderson, J. R. et al., A land use and land cover classification system for use with remote sensor data. In A Revision of the Land Use Classification System in Circular 671, United States Government Printing Office, Washington, USA, 1976, pp. 1–36; doi:10.3133/pp964.

  • Erasu, D., Remote sensing-based urban land use/land cover change detection and monitoring. J. Remote Sensing GIS, 2017, 6, 1–5; doi:10.4172/2469-4134.1000196.

  • Oswal, H. L. and Singh, V., Cadastral surveys in India. Surv. Rev., 2013, 23, 156–165; https://doi.org/10.1179/sre.1975.23.178.156.

  • Parida, P. K. et al., Cadastral resurvey using RS, GIS, DGPS and ETS in Bijepadmanabhapursasana of Digapahandi Tahasil, Ganjam District, Odisha, India. In India Geospatial Forum, THEME: Geo Budget: Enabling Sustainable Growth, 2012, pp. 1–11.

  • Mothi, K. K. E. et al., GIS based cadastral level forest information system using World View-II data in Bir Hisar (Haryana). In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS Technical Commission VIII Symposium, Hyderabad, 2014, vol. XL-8, pp. 605–612; https://doi.org/10.5194/isprsarchives-XL-8-605-2014.


Abstract Views: 255

PDF Views: 138




  • Precise Mosaicing of Mouza Plans for the Preparation of Digital Cadastral Map Using GNSS

Abstract Views: 255  |  PDF Views: 138

Authors

Aniket Verma
CSIR-Central Institute of Mining and Fuel Research, Dhanbad 826 015, India
Amar Prakash
CSIR-Central Institute of Mining and Fuel Research, Dhanbad 826 015, India
Ajay Kumar
CSIR-Central Institute of Mining and Fuel Research, Dhanbad 826 015, India
Sandip Oraon
CSIR-Central Institute of Mining and Fuel Research, Dhanbad 826 015, India
Sujit Kumar Mandal
CSIR-Central Institute of Mining and Fuel Research, Dhanbad 826 015, India

Abstract


Global Navigation Satellite System (GNSS), an advanced surveying system, is used to determine three-dimensional points accurately. The present study was conducted in Kasta East Coal Block of the West Bengal Power Development Corporation Limited (WBPDCL), India, focusing on data generation, establishing boundary coordinates and mosaicing of mouza plans using real-time kinematic approach. Base station and primary control points were established by the static method. It evaluates the geospatial information using GNSS and quantification of the accuracy of the geo-referenced cadastral map of kasta east coal block of WBPDCL. Scanned mouza plans were converted to vector format through AutoCAD, oriented and placed precisely with the help of established ground control points. The features of the cadastral map were tuned by superimposing the vector cadastral map of the study area. Assessment of the vector cadastral map showed better accuracy and less distortion in large-area parcels/khasras. More variations were observed in small-area khasras. Similarly, smaller mouzas showed more variation compared to larger ones. Distortions were due to manual error in digitization and technical error in scanning. The methodology of mosaicing presented here will be useful for updating the cadastral maps with improved precision in digital cadastral plan preparation.

Keywords


Cadastral Maps, Digitization, Georeferencing, Mosaicing, Satellite System.

References





DOI: https://doi.org/10.18520/cs%2Fv124%2Fi4%2F467-477