American Journal of Remote Sensing

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Compare NDVI Extracted from Landsat 8 Imagery with that from Landsat 7 Imagery

Received: 28 August 2014    Accepted: 10 September 2014    Published: 20 September 2014
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Abstract

Landsat 8, the ongoing mission of the Landsat satellites that have provided over 40 years of images, continues to benefit long-term research. However, it is important to know if the spectral features of Landsat 8 are of the same standard as previous Landsat imagery because Landsat 8 images have narrower bands, especially because of the normalized difference vegetation index (NDVI) calculation which is the most popular vegetation index. In this study NDVI values derived from Landsat 8 images were compared with those calculated from Landsat 7 and ground measured hyperspectral data. The result shows that Landsat 8 NDVI is larger than Landsat 7 NDVI in lower vegetation covered areas and the difference becomes smaller as the value of NDVI increases. This indicates that NDVI of Landsat 7 and Landsat 8 is consistent when dealing with high vegetation covered areas (e.g. forest area and tall grass prairie) because the difference between Landsat 7 and 8 NDVI is close to zero when the value of NDVI is high, but this needs to be further investigated. There is also further need for calibration of NDVI in low vegetation covered areas in order to achieve consistency between Landsat 7 and Landsat 8 images.

DOI 10.11648/j.ajrs.20140202.11
Published in American Journal of Remote Sensing (Volume 2, Issue 2, April 2014)
Page(s) 10-14
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

Remote Sensing, Landsat 8, OLI, LDCM, Landsat 7, ETM+, NDVI, ATCOR

References
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[17] Black, S.C., et al., Estimation of grassland CO(2) exchange rates using hyperspectral remote sensing techniques. International Journal of Remote Sensing, 2008. 29(1): p. 145-155.
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  • APA Style

    Dandan Xu, Xulin Guo. (2014). Compare NDVI Extracted from Landsat 8 Imagery with that from Landsat 7 Imagery. American Journal of Remote Sensing, 2(2), 10-14. https://doi.org/10.11648/j.ajrs.20140202.11

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    ACS Style

    Dandan Xu; Xulin Guo. Compare NDVI Extracted from Landsat 8 Imagery with that from Landsat 7 Imagery. Am. J. Remote Sens. 2014, 2(2), 10-14. doi: 10.11648/j.ajrs.20140202.11

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    AMA Style

    Dandan Xu, Xulin Guo. Compare NDVI Extracted from Landsat 8 Imagery with that from Landsat 7 Imagery. Am J Remote Sens. 2014;2(2):10-14. doi: 10.11648/j.ajrs.20140202.11

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  • @article{10.11648/j.ajrs.20140202.11,
      author = {Dandan Xu and Xulin Guo},
      title = {Compare NDVI Extracted from Landsat 8 Imagery with that from Landsat 7 Imagery},
      journal = {American Journal of Remote Sensing},
      volume = {2},
      number = {2},
      pages = {10-14},
      doi = {10.11648/j.ajrs.20140202.11},
      url = {https://doi.org/10.11648/j.ajrs.20140202.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20140202.11},
      abstract = {Landsat 8, the ongoing mission of the Landsat satellites that have provided over 40 years of images, continues to benefit long-term research. However, it is important to know if the spectral features of Landsat 8 are of the same standard as previous Landsat imagery because Landsat 8 images have narrower bands, especially because of the normalized difference vegetation index (NDVI) calculation which is the most popular vegetation index. In this study NDVI values derived from Landsat 8 images were compared with those calculated from Landsat 7 and ground measured hyperspectral data. The result shows that Landsat 8 NDVI is larger than Landsat 7 NDVI in lower vegetation covered areas and the difference becomes smaller as the value of NDVI increases. This indicates that NDVI of Landsat 7 and Landsat 8 is consistent when dealing with high vegetation covered areas (e.g. forest area and tall grass prairie) because the difference between Landsat 7 and 8 NDVI is close to zero when the value of NDVI is high, but this needs to be further investigated. There is also further need for calibration of NDVI in low vegetation covered areas in order to achieve consistency between Landsat 7 and Landsat 8 images.},
     year = {2014}
    }
    

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  • TY  - JOUR
    T1  - Compare NDVI Extracted from Landsat 8 Imagery with that from Landsat 7 Imagery
    AU  - Dandan Xu
    AU  - Xulin Guo
    Y1  - 2014/09/20
    PY  - 2014
    N1  - https://doi.org/10.11648/j.ajrs.20140202.11
    DO  - 10.11648/j.ajrs.20140202.11
    T2  - American Journal of Remote Sensing
    JF  - American Journal of Remote Sensing
    JO  - American Journal of Remote Sensing
    SP  - 10
    EP  - 14
    PB  - Science Publishing Group
    SN  - 2328-580X
    UR  - https://doi.org/10.11648/j.ajrs.20140202.11
    AB  - Landsat 8, the ongoing mission of the Landsat satellites that have provided over 40 years of images, continues to benefit long-term research. However, it is important to know if the spectral features of Landsat 8 are of the same standard as previous Landsat imagery because Landsat 8 images have narrower bands, especially because of the normalized difference vegetation index (NDVI) calculation which is the most popular vegetation index. In this study NDVI values derived from Landsat 8 images were compared with those calculated from Landsat 7 and ground measured hyperspectral data. The result shows that Landsat 8 NDVI is larger than Landsat 7 NDVI in lower vegetation covered areas and the difference becomes smaller as the value of NDVI increases. This indicates that NDVI of Landsat 7 and Landsat 8 is consistent when dealing with high vegetation covered areas (e.g. forest area and tall grass prairie) because the difference between Landsat 7 and 8 NDVI is close to zero when the value of NDVI is high, but this needs to be further investigated. There is also further need for calibration of NDVI in low vegetation covered areas in order to achieve consistency between Landsat 7 and Landsat 8 images.
    VL  - 2
    IS  - 2
    ER  - 

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Author Information
  • Department of Geography and Planning, University of Saskatchewan, Saskatoon, Canada

  • Department of Geography and Planning, University of Saskatchewan, Saskatoon, Canada

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