| Peer-Reviewed

Evaluation of Cartosat-1 Satellite Triangulation & Dsms in Varied Terrain Conditions

Received: 17 March 2013    Accepted:     Published: 2 April 2013
Views:       Downloads:
Abstract

Digital surface models (DSMs) and Digital elevation models (DEMs) has become inevitable input for many applications including various types of modeling problems besides photogrammetric product generation such as orthoimages and visualization. Automatically generated DSMs using image matching techniques are an efficient means to extract bare earth DEMs or DTMs for various applications including modeling. This paper highlights and evaluates the accuracy of satellite triangulation, and DEM generated from Cartosat-1 data by using Rational Polynomial Coefficient’s (RPC’s) provided with the Cartosat-1 data along with ground control points (GCPs) collected through differential Global Positioning System (DGPS) surveys. Three study sites were taken for evaluation of DSMs in different topographic conditions, namely, a) Dehradun, Uttarakhand characterized by relatively high undulating terrain comprising of shivalik hills in the south and higher Himalayas on the north, b) Jaipur, Rajasthan having more of urban and plain agriculture area with Aravalli ranges, and c) Kendrapara, Orissa which is having a plain terrain conditions with agriculture fields, river, and sparsely populated area. DGPS surveys were conducted at the three sites to collect ground control points (GCPs) for satellite triangulation & subsequent analysis. The satellite triangulation resulted in RMSE of better than a pixel for all the three sites. The RMSE for DEM is varying from within a pixel for plain area to about four pixels for highly undulating terrain. The paper describes the positional and vertical accuracies achieved for cartosat-1 stereo data through photogrammetric process of satellite triangulation and Digital surface model generation in the three study sites having different topographic conditions.

Published in Science Research (Volume 1, Issue 2)
DOI 10.11648/j.sr.20130102.12
Page(s) 19-24
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Satellite Triangulation, Digital Surface Model, Digital Elevation Model, Differential GPS survey, Ground Control Points, Rational Polynomial Coefficient's

References
[1] Khoshelham, K. (2005). Region refinement and parametric reconstruction of building roofs by integration of image and height data. International Archives of Photogrammetry and Remote Sensing, IAPRS : XXXVI, part 3 / W 24, 6.
[2] Peter van Blyenburgh, UAVs: an overview Air & Space Europe, Volume 1, Issues 5–6, September–December 1999, Pages 43-47.
[3] Tapas Ranjan Martha, Detection of landslides by ob-ject-oriented image analysis, ITC dissertation number 189, University of Twente, 2011.
[4] NRSC, 2006. Cartosat-1 data user's handbook. at http://www.nrsc.gov.in/assets/pdf/handbooks/cartosat1.pdf
[5] Ashutosh Bhardwaj, Bayarmaa Enkhtur, S. Rahavendra, Shefali Agrawal, "Topographic Database Generation and 3D Feature Extraction techniques Using Cartosat-1 Stereo Data", XXX INCA International Congress on Cartography for sus-tainable environment, 10-12 Nov. 2010, Dehradun.
[6] Dial, G. (2000). IKONOS satellite mapping accuracy. ASPRS 2000 Proceedings, Washington DC, 22-26 May 2000.
[7] Grodecki, J and G. Dial (2001). IKONOS geometric accuracy. Proceedings of Joint Workshop of ISPRS WorkingGroups I/2, I/5 and IV/7 on High Resolution Mapping from Space 2001, University of Hanover, Hanover, Germany, Sept 19-21.
[8] Grodecki, J. and G. Dial (2003). Block adjustment of high-resolution satellite images described by rational poly-nomials. Photogrammetric Engineering & Remote Sensing, 69(1):59-68.
[9] Grodecki, J. (2001). IKONOS stereo feature extraction - RPC approach. ASPRS 2001 Proceedings, St. Louis, MO, 23-27 April 2001.
[10] Tao, C.V., Hu,Y. and Jiang, W.(2004). Photogrammetric exploitation of IKONOS Imagery for Mapping Application. International Journal of Remote Sensing, 25(14):2833-2853.
[11] Krishnaswamy, M. and S. Kalyanaraman (2004). "Indian Remote Sensing Satellite Cartosat-1: Technical features and data products."
[12] Nadeem, Ahmed., Anjum, Mahtab., Ritesh Agrawal., R, Jayaprasad., S.K., Pathan., Ajai, D.K., SINGH., Anda.K. SINGH,. Extraction and Validation of Cartosat-1 DEM, Journal of the Indian Society of Remote Sensing, Vol. 35, No. 2, 2007
[13] Praveen K. Thakur, Sreyasi Maiti, Nanette C. Kingma, V. Hari Prasad , S. P. Aggarwal, Ashutosh Bhardwaj, 2011, Estimation of structural vulnerability for flooding using geospatial tools in the rural area of Orissa, Natural Hazards (2012) 61: 501-520 , March 01, 2012
[14] I.C.Das, Spatial Statistical modelling for assessing landslide hazard and vulnerability, ITC dissertation number 192, University of Twente, 2011.
[15] Jacobsen K., 2006: ISPRS-ISRO Cartosat-1 Scientific As-sessment Programme (C-SAP) Technical report - test areas Mausanne and Warsaw, ISPRS Com IV, Goa 2006, IAPRS Vol. 36 Part 4, pp. 1052-1056
[16] Krishna Muthry, Y.V.N., Srinivasa Rao, S., Prakasa Rao, D.S., Jayaraman V. Analysis of DEM generated using Cartosat-I stereo data over Mausanne les Alphilles – Cartosat scientific appraisal programme (CSAP TS-5). ISPRS 2008, 37, 1343- 1348.
[17] Nelson, A., Reuter, H.I., Gessler, P., 2009. DEM production methods and sources. In: Hengl, T., Reuter, H.I. (Eds.), Geomorphometry: Concepts, Software, and Applications. Elsevier, Amsterdam, pp. 65-85.
[18] John P. Wilson, Digital terrain modeling, Geomorphology, Volume 137, Issue 1, 15 January 2012, Pages 107-121.
[19] Willneff, J., Weser, T., Rottensteiner, F., and C. S. Fraser (2008). "Precise Georeferencing of Cartosat Imagery via different orientation models", The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B1. Beijing 2008
[20] Singh, S. K., Naidu, D. S., Srinivasan, T.P., Krishna, B. G., and P K Srivastava (2008). "Rational polynomial modeling for Cartosat-1 data", The International Archives of the Pho-togrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B1. Beijing.
[21] Gorokhovich, Y. and Voustianiouk, A., 2006.Accuracy as-sessment of the processed SRTM-based elevation data by CGIAR using field data from USA and Thailand and its relation to the terrain characteristics. Remote Sensing of Environment 104 (2006) 409–415.
[22] Goncalves, J. A. and Oliveira, A. M. (2004) Accuracy analysis of DEM's derived from ASTER imagery. ISPRS XX Commission III WG III/2 — Science Faculty University of Porto, Portugal.
[23] Samadrita Mukherjee, Anirban Mukhopadhyay, Ashutosh Bhardwaj, Arun Mondal, Sananda Kundu, and Sugata Hazra, Digital Elevation Model Generation and Retrieval of Terrain Attributes using Cartosat-1 Stereo Data, International Journal of Science and Technology, Volume 2 No.5, May 2012.
[24] Sandip Mukherjee, P.K. Joshi, Samadrita Mukherjee, Ani-ruddha Ghosh, R.D. Garg, Anirban Mukhopadhyay, Evalua-tion of vertical accuracy of open source Digital Elevation Model (DEM), International Journal of Applied Earth Observation and Geoinformation 21 (2013) 205–217
[25] Ashutosh Bhardwaj, Evaluation of DEM, and Orthoimage generated from Cartosat-1 with its potential for feature ex-traction and visualization, American Journal of Remote Sensing, Vol. 1, Num.1, 2013.
[26] http://geographiclib.sourceforge.net/cgi-bin/GeoidEval (date of access 14.03.2013)
Cite This Article
  • APA Style

    Ashutosh Bhardwaj, R. S. Chaterjee, Kamal Jain. (2013). Evaluation of Cartosat-1 Satellite Triangulation & Dsms in Varied Terrain Conditions. Science Research, 1(2), 19-24. https://doi.org/10.11648/j.sr.20130102.12

    Copy | Download

    ACS Style

    Ashutosh Bhardwaj; R. S. Chaterjee; Kamal Jain. Evaluation of Cartosat-1 Satellite Triangulation & Dsms in Varied Terrain Conditions. Sci. Res. 2013, 1(2), 19-24. doi: 10.11648/j.sr.20130102.12

    Copy | Download

    AMA Style

    Ashutosh Bhardwaj, R. S. Chaterjee, Kamal Jain. Evaluation of Cartosat-1 Satellite Triangulation & Dsms in Varied Terrain Conditions. Sci Res. 2013;1(2):19-24. doi: 10.11648/j.sr.20130102.12

    Copy | Download

  • @article{10.11648/j.sr.20130102.12,
      author = {Ashutosh Bhardwaj and R. S. Chaterjee and Kamal Jain},
      title = {Evaluation of Cartosat-1 Satellite Triangulation & Dsms in Varied Terrain Conditions},
      journal = {Science Research},
      volume = {1},
      number = {2},
      pages = {19-24},
      doi = {10.11648/j.sr.20130102.12},
      url = {https://doi.org/10.11648/j.sr.20130102.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sr.20130102.12},
      abstract = {Digital surface models (DSMs) and Digital elevation models (DEMs) has become inevitable input for many applications including various types of modeling problems besides photogrammetric product generation such as orthoimages and visualization. Automatically generated DSMs using image matching techniques are an efficient means to extract bare earth DEMs or DTMs for various applications including modeling. This paper highlights and evaluates the accuracy of satellite triangulation, and DEM generated from Cartosat-1 data by using Rational Polynomial Coefficient’s (RPC’s) provided with the Cartosat-1 data along with ground control points (GCPs) collected through differential Global Positioning System (DGPS) surveys. Three study sites were taken for evaluation of DSMs in different topographic conditions, namely, a) Dehradun, Uttarakhand characterized by relatively high undulating terrain comprising of shivalik hills in the south and higher Himalayas on the north, b) Jaipur, Rajasthan having more of urban and plain agriculture area with Aravalli ranges, and c) Kendrapara, Orissa which is having a plain terrain conditions with agriculture fields, river, and sparsely populated area. DGPS surveys were conducted at the three sites to collect ground control points (GCPs) for satellite triangulation & subsequent analysis. The satellite triangulation resulted in RMSE of better than a pixel for all the three sites. The RMSE for DEM is varying from within a pixel for plain area to about four pixels for highly undulating terrain. The paper describes the positional and vertical accuracies achieved for cartosat-1 stereo data through photogrammetric process of satellite triangulation and Digital surface model generation in the three study sites having different topographic conditions.},
     year = {2013}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Evaluation of Cartosat-1 Satellite Triangulation & Dsms in Varied Terrain Conditions
    AU  - Ashutosh Bhardwaj
    AU  - R. S. Chaterjee
    AU  - Kamal Jain
    Y1  - 2013/04/02
    PY  - 2013
    N1  - https://doi.org/10.11648/j.sr.20130102.12
    DO  - 10.11648/j.sr.20130102.12
    T2  - Science Research
    JF  - Science Research
    JO  - Science Research
    SP  - 19
    EP  - 24
    PB  - Science Publishing Group
    SN  - 2329-0927
    UR  - https://doi.org/10.11648/j.sr.20130102.12
    AB  - Digital surface models (DSMs) and Digital elevation models (DEMs) has become inevitable input for many applications including various types of modeling problems besides photogrammetric product generation such as orthoimages and visualization. Automatically generated DSMs using image matching techniques are an efficient means to extract bare earth DEMs or DTMs for various applications including modeling. This paper highlights and evaluates the accuracy of satellite triangulation, and DEM generated from Cartosat-1 data by using Rational Polynomial Coefficient’s (RPC’s) provided with the Cartosat-1 data along with ground control points (GCPs) collected through differential Global Positioning System (DGPS) surveys. Three study sites were taken for evaluation of DSMs in different topographic conditions, namely, a) Dehradun, Uttarakhand characterized by relatively high undulating terrain comprising of shivalik hills in the south and higher Himalayas on the north, b) Jaipur, Rajasthan having more of urban and plain agriculture area with Aravalli ranges, and c) Kendrapara, Orissa which is having a plain terrain conditions with agriculture fields, river, and sparsely populated area. DGPS surveys were conducted at the three sites to collect ground control points (GCPs) for satellite triangulation & subsequent analysis. The satellite triangulation resulted in RMSE of better than a pixel for all the three sites. The RMSE for DEM is varying from within a pixel for plain area to about four pixels for highly undulating terrain. The paper describes the positional and vertical accuracies achieved for cartosat-1 stereo data through photogrammetric process of satellite triangulation and Digital surface model generation in the three study sites having different topographic conditions.
    VL  - 1
    IS  - 2
    ER  - 

    Copy | Download

Author Information
  • Indian Institute of Remote Sensing (ISRO), Dehradun, India

  • Indian Institute of Remote Sensing (ISRO), Dehradun, India

  • Indian Institute of Technology, Roorkee, India

  • Sections