NDVI is often used to investigate how vegetation contributes to the surface urban heat islands (SUHI) effect. Generally, NDVIs obtained for partially vegetated or built-up areas have been found to be less than 0.4. However, anomalous NDVIs that are inconsistent with established concepts and relationships are frequently obtained for non-vegetated urban land cover. It is possible that these anomalous NDVIs have been distorted by the surface colors and patterns of rooftops. Therefore, we obtained NDVIs for an urban industrial area of Gumi, South Korea, and investigated how these NDVIs were affected by such surface colors and patterns. By assessing 148 factory rooftops, obtained NDVIs indeed showed a tendency to be affected by the surface colors and patterns of rooftops. A color classification of white, blue, purple, and red revealed that blue- and purple-colored rooftops resulted in higher NDVIs than other rooftops. Moreover, these rooftops were sometimes misidentified as forest and vegetation. The color tone, affected by brightness intensity, also contributed to the NDVIs obtained for blue- and purple-colored rooftops. Extreme cases showed that NDVIs obtained for rooftop surfaces could attain values indicative of dense vegetation (i.e., NDVIs ≥ 0.6), when blue-colored rooftops were combined with complex surface patterns that generated more shadow. From these results, we concluded that the established relationship between LST and NDVI is likely to be invalid for non-vegetated urban industrial areas, and that NDVIs obtained for such areas should be used with caution, particularly in studies of the SUHI effect.
| Published in | American Journal of Remote Sensing (Volume 2, Issue 6) |
| DOI | 10.11648/j.ajrs.20140206.11 |
| Page(s) | 44-49 |
| 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), 2014. Published by Science Publishing Group |
Anomalous NDVI, Surface Temperature, Infrared Imaging, Urban, UHI, Surface, Landsat, Monitoring
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APA Style
Kon Joon Bhang. (2014). Anomalous Variations of NDVI for a Non-Vegetated Urban Industrial Area of Gumi, Korea. American Journal of Remote Sensing, 2(6), 44-49. https://doi.org/10.11648/j.ajrs.20140206.11
ACS Style
Kon Joon Bhang. Anomalous Variations of NDVI for a Non-Vegetated Urban Industrial Area of Gumi, Korea. Am. J. Remote Sens. 2014, 2(6), 44-49. doi: 10.11648/j.ajrs.20140206.11
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Download@article{10.11648/j.ajrs.20140206.11,
author = {Kon Joon Bhang},
title = {Anomalous Variations of NDVI for a Non-Vegetated Urban Industrial Area of Gumi, Korea},
journal = {American Journal of Remote Sensing},
volume = {2},
number = {6},
pages = {44-49},
doi = {10.11648/j.ajrs.20140206.11},
url = {https://doi.org/10.11648/j.ajrs.20140206.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20140206.11},
abstract = {NDVI is often used to investigate how vegetation contributes to the surface urban heat islands (SUHI) effect. Generally, NDVIs obtained for partially vegetated or built-up areas have been found to be less than 0.4. However, anomalous NDVIs that are inconsistent with established concepts and relationships are frequently obtained for non-vegetated urban land cover. It is possible that these anomalous NDVIs have been distorted by the surface colors and patterns of rooftops. Therefore, we obtained NDVIs for an urban industrial area of Gumi, South Korea, and investigated how these NDVIs were affected by such surface colors and patterns. By assessing 148 factory rooftops, obtained NDVIs indeed showed a tendency to be affected by the surface colors and patterns of rooftops. A color classification of white, blue, purple, and red revealed that blue- and purple-colored rooftops resulted in higher NDVIs than other rooftops. Moreover, these rooftops were sometimes misidentified as forest and vegetation. The color tone, affected by brightness intensity, also contributed to the NDVIs obtained for blue- and purple-colored rooftops. Extreme cases showed that NDVIs obtained for rooftop surfaces could attain values indicative of dense vegetation (i.e., NDVIs ≥ 0.6), when blue-colored rooftops were combined with complex surface patterns that generated more shadow. From these results, we concluded that the established relationship between LST and NDVI is likely to be invalid for non-vegetated urban industrial areas, and that NDVIs obtained for such areas should be used with caution, particularly in studies of the SUHI effect.},
year = {2014}
}
TY - JOUR T1 - Anomalous Variations of NDVI for a Non-Vegetated Urban Industrial Area of Gumi, Korea AU - Kon Joon Bhang Y1 - 2014/12/18 PY - 2014 N1 - https://doi.org/10.11648/j.ajrs.20140206.11 DO - 10.11648/j.ajrs.20140206.11 T2 - American Journal of Remote Sensing JF - American Journal of Remote Sensing JO - American Journal of Remote Sensing SP - 44 EP - 49 PB - Science Publishing Group SN - 2328-580X UR - https://doi.org/10.11648/j.ajrs.20140206.11 AB - NDVI is often used to investigate how vegetation contributes to the surface urban heat islands (SUHI) effect. Generally, NDVIs obtained for partially vegetated or built-up areas have been found to be less than 0.4. However, anomalous NDVIs that are inconsistent with established concepts and relationships are frequently obtained for non-vegetated urban land cover. It is possible that these anomalous NDVIs have been distorted by the surface colors and patterns of rooftops. Therefore, we obtained NDVIs for an urban industrial area of Gumi, South Korea, and investigated how these NDVIs were affected by such surface colors and patterns. By assessing 148 factory rooftops, obtained NDVIs indeed showed a tendency to be affected by the surface colors and patterns of rooftops. A color classification of white, blue, purple, and red revealed that blue- and purple-colored rooftops resulted in higher NDVIs than other rooftops. Moreover, these rooftops were sometimes misidentified as forest and vegetation. The color tone, affected by brightness intensity, also contributed to the NDVIs obtained for blue- and purple-colored rooftops. Extreme cases showed that NDVIs obtained for rooftop surfaces could attain values indicative of dense vegetation (i.e., NDVIs ≥ 0.6), when blue-colored rooftops were combined with complex surface patterns that generated more shadow. From these results, we concluded that the established relationship between LST and NDVI is likely to be invalid for non-vegetated urban industrial areas, and that NDVIs obtained for such areas should be used with caution, particularly in studies of the SUHI effect. VL - 2 IS - 6 ER -
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