| Peer-Reviewed

New Technique to Make Quick-Look Image of Landsat Satellite Data Using Popular Software

Received: 23 July 2013     Accepted: 22 June 2015     Published: 28 July 2015
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Abstract

Image processing technique for certain purpose that applied in satellite data mainly divided into: pre-processing, image enhancement and mozaicking. These processes, of course, utilizing all bands of satellite imagery data. To predict the output of imagery before actual process is done, we sometimes need a preliminary result and it need a ‘tricky‘ procedure. For example, to predict best band combination for geological interpretation, we can choose band combination of 457 or 347. We can directly do this activity by previously load the data of band 3, band 4, band 5 and band 7, and then combine band as we need. In this study, in other hand, we just only load one band, and we can create each combination we need effectively and fast, using popular image processing program, PhotoShop 5. The result is sufficient for quick look requirement.

Published in American Journal of Remote Sensing (Volume 3, Issue 4)
DOI 10.11648/j.ajrs.20150304.11
Page(s) 49-56
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), 2015. Published by Science Publishing Group

Keywords

Landsat TM 7+, Quick-Look, Compressed File, pixel-to-pixel operation

References
[1] Bill Harel, et. all. 1995. Using PhotoShop 3 for MacIntosh, Special edition. Que Corporration. Indianapolis, United States of America
[2] LEMIGAS. 1996. Environmental Baseline of Mobil Oil, Asamera, Japex JOB and PERTAMINA Working Area, North Sumatra. Jakarta, Indonesia
[3] LEMIGAS. 2002. Landuse and landcover Mapping of Padang Island (Kondur PSA), Sumatera Island. Jakarta, Indonesia
[4] LEMIGAS. 2002. Utilization Landsat TM and radarsat Imagery for regional Database Map Acquisition Berau Bay and Its Surrounding Papua Indonesia. Jakarta, Indonesia
[5] LEMIGAS. 2002. Provision of Remote Sensing Data for Environmental Updating of tanjung Santan (Unocal). Jakarta, Indonesia
[6] LEMIGAS. 2004. Survey Pemetaan Jalur Pipa Gas Blok Gundih – Tambaklorok Semarang Berdasarkan Foto Udara Small Format, PPGJ. Jakarta, Indonesia
[7] National Aeronautics and Space Administration (NASA). 2006. How Landsat Image are Made. NASA’s Landsat Education and Public Outreach Team. Greenbelt, Maryland. USA
[8] National Aeronautics and Space Administration (NASA). 2012. Landsat 7 Science Data Users Handbook. NASA’s Goddard Space Flight Center. Greenbelt, Maryland. USA. http://ltpwww.gsfc.nasa.gov/IAS/handbook/handbook_toc.html
[9] Shortcut of this program:
[10] The MatWork,Inc., 1994. MATLAB: High-Performance Numeric Computation and Visualization Software, Reference Guide. Natiek, Mass, USA.
Cite This Article
  • APA Style

    Heru Riyanto. (2015). New Technique to Make Quick-Look Image of Landsat Satellite Data Using Popular Software. American Journal of Remote Sensing, 3(4), 49-56. https://doi.org/10.11648/j.ajrs.20150304.11

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    ACS Style

    Heru Riyanto. New Technique to Make Quick-Look Image of Landsat Satellite Data Using Popular Software. Am. J. Remote Sens. 2015, 3(4), 49-56. doi: 10.11648/j.ajrs.20150304.11

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    AMA Style

    Heru Riyanto. New Technique to Make Quick-Look Image of Landsat Satellite Data Using Popular Software. Am J Remote Sens. 2015;3(4):49-56. doi: 10.11648/j.ajrs.20150304.11

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  • @article{10.11648/j.ajrs.20150304.11,
      author = {Heru Riyanto},
      title = {New Technique to Make Quick-Look Image of Landsat Satellite Data Using Popular Software},
      journal = {American Journal of Remote Sensing},
      volume = {3},
      number = {4},
      pages = {49-56},
      doi = {10.11648/j.ajrs.20150304.11},
      url = {https://doi.org/10.11648/j.ajrs.20150304.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20150304.11},
      abstract = {Image processing technique for certain purpose that applied in satellite data mainly divided into: pre-processing, image enhancement and mozaicking. These processes, of course, utilizing all bands of satellite imagery data. To predict the output of imagery before actual process is done, we sometimes need a preliminary result and it need a ‘tricky‘ procedure. For example, to predict best band combination for geological interpretation, we can choose band combination of 457 or 347. We can directly do this activity by previously load the data of band 3, band 4, band 5 and band 7, and then combine band as we need. In this study, in other hand, we just only load one band, and we can create each combination we need effectively and fast, using popular image processing program, PhotoShop 5. The result is sufficient for quick look requirement.},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - New Technique to Make Quick-Look Image of Landsat Satellite Data Using Popular Software
    AU  - Heru Riyanto
    Y1  - 2015/07/28
    PY  - 2015
    N1  - https://doi.org/10.11648/j.ajrs.20150304.11
    DO  - 10.11648/j.ajrs.20150304.11
    T2  - American Journal of Remote Sensing
    JF  - American Journal of Remote Sensing
    JO  - American Journal of Remote Sensing
    SP  - 49
    EP  - 56
    PB  - Science Publishing Group
    SN  - 2328-580X
    UR  - https://doi.org/10.11648/j.ajrs.20150304.11
    AB  - Image processing technique for certain purpose that applied in satellite data mainly divided into: pre-processing, image enhancement and mozaicking. These processes, of course, utilizing all bands of satellite imagery data. To predict the output of imagery before actual process is done, we sometimes need a preliminary result and it need a ‘tricky‘ procedure. For example, to predict best band combination for geological interpretation, we can choose band combination of 457 or 347. We can directly do this activity by previously load the data of band 3, band 4, band 5 and band 7, and then combine band as we need. In this study, in other hand, we just only load one band, and we can create each combination we need effectively and fast, using popular image processing program, PhotoShop 5. The result is sufficient for quick look requirement.
    VL  - 3
    IS  - 4
    ER  - 

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Author Information
  • Remote Sensing Department, Exploration Division, Research and Development Centre for Oil and Gas Technology “Lemigas”, Jakarta, Indonesia

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