Comparing Inter-Sensor NDVI for the Analysis of Horticulture Crops in South-Eastern Australia

Mohammad Abuzar; Kathryn Sheffield; Des Whitfield; Mark O’Connell; Andy McAllister

doi:doi:10.11648/j.ajrs.20140201.11

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Comparing Inter-Sensor NDVI for the Analysis of Horticulture Crops in South-Eastern Australia

Mohammad Abuzar, Kathryn Sheffield, Des Whitfield, Mark O’Connell, Andy McAllister

Published in American Journal of Remote Sensing (Volume 2, Issue 1)

Received: 24 February 2014 Accepted: Published: 20 March 2014

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Abstract

Synergistic application of NDVI from diverse sensors has been an interest of researchers in the field of natural resource management for over two decades. Attempts have been made to deal with the sensor-specific differences in NDVI which stem from a number of factors. In this study, an NDVI comparison has been made between Landsat-7 ETM+ and five other sensors of relatively fine resolution (ASTER, SPOT-5 XS, RapidEye, QuickBird-2 and WorldView-2) over an area of horticultural crops in south-eastern Australia during 2011-12. Translation equations have been developed using linear regression for specific sensors and specific horticultural crops (almond, table grape, wine grape, olive and vegetable). Cross-senor comparisons of NDVI showed strong positive relationships (p <0.001, R2>0.9) but in three cases (ASTER, SPOT-5 and RapidEye) the differences in NDVI values were significant (p<0.001) as well. Though in the other two cases (QuickBird-2 and WorldView-2) the differences were not significant, they were not negligible. Therefore the role of translation equations is considered important for cross-sensor NDVI compatibility. The results of this study will be used: (i) to convert NDVI from the selected sensors to a Landsat- equivalent NDVI for the analysis of irrigated horticultural crops, (ii) to optimise the temporal frequency of NDVI observations for long-term vegetation analyses, and (iii) to transfer Landsat ETM+-based measurements, particularly evapotranspiration (ET) estimates, to alternative sensors that lack thermal band capability which is critical for ET measurements. ET measurements will be used to estimate crop water requirement to help irrigation water management of horticultural crops.

Published in	American Journal of Remote Sensing (Volume 2, Issue 1)
DOI	10.11648/j.ajrs.20140201.11
Page(s)	1-9
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

NDVI Comparison, Horticultural Crops, ASTER, SPOT-5, RapidEye, QuickBird-2, WorldView-2

References

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APA Style

Mohammad Abuzar, Kathryn Sheffield, Des Whitfield, Mark O’Connell, Andy McAllister. (2014). Comparing Inter-Sensor NDVI for the Analysis of Horticulture Crops in South-Eastern Australia. American Journal of Remote Sensing, 2(1), 1-9. https://doi.org/10.11648/j.ajrs.20140201.11

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ACS Style

Mohammad Abuzar; Kathryn Sheffield; Des Whitfield; Mark O’Connell; Andy McAllister. Comparing Inter-Sensor NDVI for the Analysis of Horticulture Crops in South-Eastern Australia. Am. J. Remote Sens. 2014, 2(1), 1-9. doi: 10.11648/j.ajrs.20140201.11

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AMA Style

Mohammad Abuzar, Kathryn Sheffield, Des Whitfield, Mark O’Connell, Andy McAllister. Comparing Inter-Sensor NDVI for the Analysis of Horticulture Crops in South-Eastern Australia. Am J Remote Sens. 2014;2(1):1-9. doi: 10.11648/j.ajrs.20140201.11

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@article{10.11648/j.ajrs.20140201.11,
  author = {Mohammad Abuzar and Kathryn Sheffield and Des Whitfield and Mark O’Connell and Andy McAllister},
  title = {Comparing Inter-Sensor NDVI for the Analysis of Horticulture Crops in South-Eastern Australia},
  journal = {American Journal of Remote Sensing},
  volume = {2},
  number = {1},
  pages = {1-9},
  doi = {10.11648/j.ajrs.20140201.11},
  url = {https://doi.org/10.11648/j.ajrs.20140201.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20140201.11},
  abstract = {Synergistic application of NDVI from diverse sensors has been an interest of researchers in the field of natural resource management for over two decades. Attempts have been made to deal with the sensor-specific differences in NDVI which stem from a number of factors. In this study, an NDVI comparison has been made between Landsat-7 ETM+ and five other sensors of relatively fine resolution (ASTER, SPOT-5 XS, RapidEye, QuickBird-2 and WorldView-2) over an area of horticultural crops in south-eastern Australia during 2011-12. Translation equations have been developed using linear regression for specific sensors and specific horticultural crops (almond, table grape, wine grape, olive and vegetable). Cross-senor comparisons of NDVI showed strong positive relationships (p 0.9) but in three cases (ASTER, SPOT-5 and RapidEye) the differences in NDVI values were significant (p<0.001) as well. Though in the other two cases (QuickBird-2 and WorldView-2) the differences were not significant, they were not negligible. Therefore the role of translation equations is considered important for cross-sensor NDVI compatibility. The results of this study will be used: (i) to convert NDVI from the selected sensors to a Landsat- equivalent NDVI for the analysis of irrigated horticultural crops, (ii) to optimise the temporal frequency of NDVI observations for long-term vegetation analyses, and (iii) to transfer Landsat ETM+-based measurements, particularly evapotranspiration (ET) estimates, to alternative sensors that lack thermal band capability which is critical for ET measurements. ET measurements will be used to estimate crop water requirement to help irrigation water management of horticultural crops.},
 year = {2014}
}

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TY  - JOUR
T1  - Comparing Inter-Sensor NDVI for the Analysis of Horticulture Crops in South-Eastern Australia
AU  - Mohammad Abuzar
AU  - Kathryn Sheffield
AU  - Des Whitfield
AU  - Mark O’Connell
AU  - Andy McAllister
Y1  - 2014/03/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ajrs.20140201.11
DO  - 10.11648/j.ajrs.20140201.11
T2  - American Journal of Remote Sensing
JF  - American Journal of Remote Sensing
JO  - American Journal of Remote Sensing
SP  - 1
EP  - 9
PB  - Science Publishing Group
SN  - 2328-580X
UR  - https://doi.org/10.11648/j.ajrs.20140201.11
AB  - Synergistic application of NDVI from diverse sensors has been an interest of researchers in the field of natural resource management for over two decades. Attempts have been made to deal with the sensor-specific differences in NDVI which stem from a number of factors. In this study, an NDVI comparison has been made between Landsat-7 ETM+ and five other sensors of relatively fine resolution (ASTER, SPOT-5 XS, RapidEye, QuickBird-2 and WorldView-2) over an area of horticultural crops in south-eastern Australia during 2011-12. Translation equations have been developed using linear regression for specific sensors and specific horticultural crops (almond, table grape, wine grape, olive and vegetable). Cross-senor comparisons of NDVI showed strong positive relationships (p 0.9) but in three cases (ASTER, SPOT-5 and RapidEye) the differences in NDVI values were significant (p<0.001) as well. Though in the other two cases (QuickBird-2 and WorldView-2) the differences were not significant, they were not negligible. Therefore the role of translation equations is considered important for cross-sensor NDVI compatibility. The results of this study will be used: (i) to convert NDVI from the selected sensors to a Landsat- equivalent NDVI for the analysis of irrigated horticultural crops, (ii) to optimise the temporal frequency of NDVI observations for long-term vegetation analyses, and (iii) to transfer Landsat ETM+-based measurements, particularly evapotranspiration (ET) estimates, to alternative sensors that lack thermal band capability which is critical for ET measurements. ET measurements will be used to estimate crop water requirement to help irrigation water management of horticultural crops.
VL  - 2
IS  - 1
ER  -

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Author Information

Mohammad Abuzar

Department of Environment and Primary Industries, 32 Lincoln Square North, Carlton, Victoria3053, Australia
Kathryn Sheffield

Department of Environment and Primary Industries, 32 Lincoln Square North, Carlton, Victoria3053, Australia
Des Whitfield

Department of Environment and Primary Industries, 255 Ferguson Road, Tatura, Victoria3616, Australia
Mark O’Connell

Department of Environment and Primary Industries, 255 Ferguson Road, Tatura, Victoria3616, Australia
Andy McAllister

Department of Environment and Primary Industries, 255 Ferguson Road, Tatura, Victoria3616, Australia

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APA Style

Mohammad Abuzar, Kathryn Sheffield, Des Whitfield, Mark O’Connell, Andy McAllister. (2014). Comparing Inter-Sensor NDVI for the Analysis of Horticulture Crops in South-Eastern Australia. American Journal of Remote Sensing, 2(1), 1-9. https://doi.org/10.11648/j.ajrs.20140201.11

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ACS Style

Mohammad Abuzar; Kathryn Sheffield; Des Whitfield; Mark O’Connell; Andy McAllister. Comparing Inter-Sensor NDVI for the Analysis of Horticulture Crops in South-Eastern Australia. Am. J. Remote Sens. 2014, 2(1), 1-9. doi: 10.11648/j.ajrs.20140201.11

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AMA Style

Mohammad Abuzar, Kathryn Sheffield, Des Whitfield, Mark O’Connell, Andy McAllister. Comparing Inter-Sensor NDVI for the Analysis of Horticulture Crops in South-Eastern Australia. Am J Remote Sens. 2014;2(1):1-9. doi: 10.11648/j.ajrs.20140201.11

Copy | Download

@article{10.11648/j.ajrs.20140201.11,
  author = {Mohammad Abuzar and Kathryn Sheffield and Des Whitfield and Mark O’Connell and Andy McAllister},
  title = {Comparing Inter-Sensor NDVI for the Analysis of Horticulture Crops in South-Eastern Australia},
  journal = {American Journal of Remote Sensing},
  volume = {2},
  number = {1},
  pages = {1-9},
  doi = {10.11648/j.ajrs.20140201.11},
  url = {https://doi.org/10.11648/j.ajrs.20140201.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20140201.11},
  abstract = {Synergistic application of NDVI from diverse sensors has been an interest of researchers in the field of natural resource management for over two decades. Attempts have been made to deal with the sensor-specific differences in NDVI which stem from a number of factors. In this study, an NDVI comparison has been made between Landsat-7 ETM+ and five other sensors of relatively fine resolution (ASTER, SPOT-5 XS, RapidEye, QuickBird-2 and WorldView-2) over an area of horticultural crops in south-eastern Australia during 2011-12. Translation equations have been developed using linear regression for specific sensors and specific horticultural crops (almond, table grape, wine grape, olive and vegetable). Cross-senor comparisons of NDVI showed strong positive relationships (p 0.9) but in three cases (ASTER, SPOT-5 and RapidEye) the differences in NDVI values were significant (p<0.001) as well. Though in the other two cases (QuickBird-2 and WorldView-2) the differences were not significant, they were not negligible. Therefore the role of translation equations is considered important for cross-sensor NDVI compatibility. The results of this study will be used: (i) to convert NDVI from the selected sensors to a Landsat- equivalent NDVI for the analysis of irrigated horticultural crops, (ii) to optimise the temporal frequency of NDVI observations for long-term vegetation analyses, and (iii) to transfer Landsat ETM+-based measurements, particularly evapotranspiration (ET) estimates, to alternative sensors that lack thermal band capability which is critical for ET measurements. ET measurements will be used to estimate crop water requirement to help irrigation water management of horticultural crops.},
 year = {2014}
}

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TY  - JOUR
T1  - Comparing Inter-Sensor NDVI for the Analysis of Horticulture Crops in South-Eastern Australia
AU  - Mohammad Abuzar
AU  - Kathryn Sheffield
AU  - Des Whitfield
AU  - Mark O’Connell
AU  - Andy McAllister
Y1  - 2014/03/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ajrs.20140201.11
DO  - 10.11648/j.ajrs.20140201.11
T2  - American Journal of Remote Sensing
JF  - American Journal of Remote Sensing
JO  - American Journal of Remote Sensing
SP  - 1
EP  - 9
PB  - Science Publishing Group
SN  - 2328-580X
UR  - https://doi.org/10.11648/j.ajrs.20140201.11
AB  - Synergistic application of NDVI from diverse sensors has been an interest of researchers in the field of natural resource management for over two decades. Attempts have been made to deal with the sensor-specific differences in NDVI which stem from a number of factors. In this study, an NDVI comparison has been made between Landsat-7 ETM+ and five other sensors of relatively fine resolution (ASTER, SPOT-5 XS, RapidEye, QuickBird-2 and WorldView-2) over an area of horticultural crops in south-eastern Australia during 2011-12. Translation equations have been developed using linear regression for specific sensors and specific horticultural crops (almond, table grape, wine grape, olive and vegetable). Cross-senor comparisons of NDVI showed strong positive relationships (p 0.9) but in three cases (ASTER, SPOT-5 and RapidEye) the differences in NDVI values were significant (p<0.001) as well. Though in the other two cases (QuickBird-2 and WorldView-2) the differences were not significant, they were not negligible. Therefore the role of translation equations is considered important for cross-sensor NDVI compatibility. The results of this study will be used: (i) to convert NDVI from the selected sensors to a Landsat- equivalent NDVI for the analysis of irrigated horticultural crops, (ii) to optimise the temporal frequency of NDVI observations for long-term vegetation analyses, and (iii) to transfer Landsat ETM+-based measurements, particularly evapotranspiration (ET) estimates, to alternative sensors that lack thermal band capability which is critical for ET measurements. ET measurements will be used to estimate crop water requirement to help irrigation water management of horticultural crops.
VL  - 2
IS  - 1
ER  -

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