Google Earth Engine Based Approach for Finding Fire Locations and Burned Areas in Muğla, Turkey

Gulsum Cigdem Cavdaroglu

doi:doi:10.11648/j.ajrs.20210902.12

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Google Earth Engine Based Approach for Finding Fire Locations and Burned Areas in Muğla, Turkey

Gulsum Cigdem Cavdaroglu

Published in American Journal of Remote Sensing (Volume 9, Issue 2)

Received: 26 August 2021 Accepted: 18 September 2021 Published: 5 October 2021

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Abstract

Forests are considered as one of the main sources of biodiversity. Forest fires caused by various reasons pose a high risk in terms of biodiversity. Therefore, mapping of fire zones is of great importance in determining the damage caused by the fire, managing the fire process, and planning the interventions in the fire zone. Although remote sensing is a fast and cost-effective methodology for mapping fire zones, the implementation of the remote sensing methodologies is problematic in some respects. The web-based Google Earth Engine makes possible to access the satellite imagery and process the imagery easily. The research area of this study is Muğla, Turkey in where many forest fires broke out in 2021 summer. This study provides an implementation of normalized burn ratio which is widely used to highlight burned areas on Google Earth Engine platform. Both vector data and satellite images were used in the study. The vector data is in the shape file format and was uploaded to the Google Earth Engine platform as a table. The Sentinel-2 imagery was used to calculate normalized burn ratio. The satellite imagery was clipped using the table data. The difference pre-fire and post-fire images was calculated, and the classes were assigned to the pixels according to the normalized burn ratio ranges. The study indicates that finding the burned areas and constructing the burn severity levels can be realized in 1.32 minutes on Google Earth Engine platform.

Published in	American Journal of Remote Sensing (Volume 9, Issue 2)
DOI	10.11648/j.ajrs.20210902.12
Page(s)	72-77
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

Burn Ratio, Forest Fire, Burn Severity, Remote Sensing

References

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[3]	G. P. Dwivedi, P. Singh, A. Singh, R. K. Upadhyay, “Google Earth Engine Based Approach for Assessment and Management of Flood in Ganga Sub Basin – Ghaghra Confluence to Gomti Confluence,” American Journal of Remote Sensing, Vol. 9, No. 2, pp. 65-71, 2021.
[4]	O. Mutanga, L. Kumar, “Google earth engine applications,” Remote Sens., 11 (5), 591, 2019.
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[6]	G. Mateo-García, L. Gómez-Chova, J. Amorós-López, J. Muñoz-Marí, G. Camps-Valls, "Multitemporal cloud masking in the Google Earth Engine," Remote Sensing, 10 (7), 1079, 2018.
[7]	L. Wang, C. Diao, G. Xian, D. Yin, Y. Lu, S. Zou, T. A. Erickson, "A summary of the special issue on remote sensing of land change science with Google earth engine," Remote Sensing of Environment, Volume 248, 112002, 2020.
[8]	E. Chuvieco, F. Mouillot, G. R. van der Werf, J. S. Miguel, M. Tanase, N. Koutsias, M. García, M. Yebra, M. Padilla, I. Gitas, A. Heil, T. J. Hawbaker, L. Giglio, "Historical background and current developments for mapping burned area from satellite Earth observation," Remote Sensing of Environment, Volume 225, pp. 45-64, 2019.
[9]	M. Elhag, N. Yimaz, J. Bahrawi, “Evaluation of Optical Remote Sensing Data in Burned Areas Mapping of Thasos Island, Greece,” Earth Syst Environ 4, 813–826, 2020.
[10]	A. Polychronaki, I. Z. Gitas, "Burned Area Mapping in Greece Using SPOT-4 HRVIR Images and Object-Based Image Analysis," Remote Sensing, 4 (2): 424-438, 2012.
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[12]	Normalized Burn Ratio [Online]. https://un-spider.org/advisory-support/recommended-practices/recommended-practice-burn-severity/in-detail/normalized-burn-ratio [Accessed 26 08 2021].
[13]	U.S. Geological Survey [Online]. https://www.usgs.gov/ [Accessed 26 08 2021].
[14]	Political Map of Turkey [Online]. https://www.harita.gov.tr/urun/turkiye-mulki-idare-sinirlari/232 [Accessed 26 08 2021].
[15]	N. Sidhu, E. Pebesma, G. Camara, “Using Google Earth Engine to detect land cover change: Singapore as a use case,” European Journal of Remote Sensing, Volume 51, 2018 - Issue 1, 2018.
[16]	X. Pan, Z. Wang, Yong Gao, X. Dang, Y. Han, "Detailed and automated classification of land use/land cover using machine learning algorithms in Google Earth Engine," Geocarto International, 2021.

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Gulsum Cigdem Cavdaroglu. (2021). Google Earth Engine Based Approach for Finding Fire Locations and Burned Areas in Muğla, Turkey. American Journal of Remote Sensing, 9(2), 72-77. https://doi.org/10.11648/j.ajrs.20210902.12

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ACS Style

Gulsum Cigdem Cavdaroglu. Google Earth Engine Based Approach for Finding Fire Locations and Burned Areas in Muğla, Turkey. Am. J. Remote Sens. 2021, 9(2), 72-77. doi: 10.11648/j.ajrs.20210902.12

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AMA Style

Gulsum Cigdem Cavdaroglu. Google Earth Engine Based Approach for Finding Fire Locations and Burned Areas in Muğla, Turkey. Am J Remote Sens. 2021;9(2):72-77. doi: 10.11648/j.ajrs.20210902.12

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@article{10.11648/j.ajrs.20210902.12,
  author = {Gulsum Cigdem Cavdaroglu},
  title = {Google Earth Engine Based Approach for Finding Fire Locations and Burned Areas in Muğla, Turkey},
  journal = {American Journal of Remote Sensing},
  volume = {9},
  number = {2},
  pages = {72-77},
  doi = {10.11648/j.ajrs.20210902.12},
  url = {https://doi.org/10.11648/j.ajrs.20210902.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20210902.12},
  abstract = {Forests are considered as one of the main sources of biodiversity. Forest fires caused by various reasons pose a high risk in terms of biodiversity. Therefore, mapping of fire zones is of great importance in determining the damage caused by the fire, managing the fire process, and planning the interventions in the fire zone. Although remote sensing is a fast and cost-effective methodology for mapping fire zones, the implementation of the remote sensing methodologies is problematic in some respects. The web-based Google Earth Engine makes possible to access the satellite imagery and process the imagery easily. The research area of this study is Muğla, Turkey in where many forest fires broke out in 2021 summer. This study provides an implementation of normalized burn ratio which is widely used to highlight burned areas on Google Earth Engine platform. Both vector data and satellite images were used in the study. The vector data is in the shape file format and was uploaded to the Google Earth Engine platform as a table. The Sentinel-2 imagery was used to calculate normalized burn ratio. The satellite imagery was clipped using the table data. The difference pre-fire and post-fire images was calculated, and the classes were assigned to the pixels according to the normalized burn ratio ranges. The study indicates that finding the burned areas and constructing the burn severity levels can be realized in 1.32 minutes on Google Earth Engine platform.},
 year = {2021}
}

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TY - JOUR
T1 - Google Earth Engine Based Approach for Finding Fire Locations and Burned Areas in Muğla, Turkey
AU - Gulsum Cigdem Cavdaroglu
Y1 - 2021/10/05
PY - 2021
N1 - https://doi.org/10.11648/j.ajrs.20210902.12
DO - 10.11648/j.ajrs.20210902.12
T2 - American Journal of Remote Sensing
JF - American Journal of Remote Sensing
JO - American Journal of Remote Sensing
SP - 72
EP - 77
PB - Science Publishing Group
SN - 2328-580X
UR - https://doi.org/10.11648/j.ajrs.20210902.12
AB - Forests are considered as one of the main sources of biodiversity. Forest fires caused by various reasons pose a high risk in terms of biodiversity. Therefore, mapping of fire zones is of great importance in determining the damage caused by the fire, managing the fire process, and planning the interventions in the fire zone. Although remote sensing is a fast and cost-effective methodology for mapping fire zones, the implementation of the remote sensing methodologies is problematic in some respects. The web-based Google Earth Engine makes possible to access the satellite imagery and process the imagery easily. The research area of this study is Muğla, Turkey in where many forest fires broke out in 2021 summer. This study provides an implementation of normalized burn ratio which is widely used to highlight burned areas on Google Earth Engine platform. Both vector data and satellite images were used in the study. The vector data is in the shape file format and was uploaded to the Google Earth Engine platform as a table. The Sentinel-2 imagery was used to calculate normalized burn ratio. The satellite imagery was clipped using the table data. The difference pre-fire and post-fire images was calculated, and the classes were assigned to the pixels according to the normalized burn ratio ranges. The study indicates that finding the burned areas and constructing the burn severity levels can be realized in 1.32 minutes on Google Earth Engine platform.
VL - 9
IS - 2
ER -

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Author Information

Gulsum Cigdem Cavdaroglu

Department of Information Technologies, Faculty of Economics, Administrative and Social Sciences, Isik University, Istanbul, Turkey

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APA Style

Gulsum Cigdem Cavdaroglu. (2021). Google Earth Engine Based Approach for Finding Fire Locations and Burned Areas in Muğla, Turkey. American Journal of Remote Sensing, 9(2), 72-77. https://doi.org/10.11648/j.ajrs.20210902.12

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ACS Style

Gulsum Cigdem Cavdaroglu. Google Earth Engine Based Approach for Finding Fire Locations and Burned Areas in Muğla, Turkey. Am. J. Remote Sens. 2021, 9(2), 72-77. doi: 10.11648/j.ajrs.20210902.12

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AMA Style

Gulsum Cigdem Cavdaroglu. Google Earth Engine Based Approach for Finding Fire Locations and Burned Areas in Muğla, Turkey. Am J Remote Sens. 2021;9(2):72-77. doi: 10.11648/j.ajrs.20210902.12

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@article{10.11648/j.ajrs.20210902.12,
  author = {Gulsum Cigdem Cavdaroglu},
  title = {Google Earth Engine Based Approach for Finding Fire Locations and Burned Areas in Muğla, Turkey},
  journal = {American Journal of Remote Sensing},
  volume = {9},
  number = {2},
  pages = {72-77},
  doi = {10.11648/j.ajrs.20210902.12},
  url = {https://doi.org/10.11648/j.ajrs.20210902.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20210902.12},
  abstract = {Forests are considered as one of the main sources of biodiversity. Forest fires caused by various reasons pose a high risk in terms of biodiversity. Therefore, mapping of fire zones is of great importance in determining the damage caused by the fire, managing the fire process, and planning the interventions in the fire zone. Although remote sensing is a fast and cost-effective methodology for mapping fire zones, the implementation of the remote sensing methodologies is problematic in some respects. The web-based Google Earth Engine makes possible to access the satellite imagery and process the imagery easily. The research area of this study is Muğla, Turkey in where many forest fires broke out in 2021 summer. This study provides an implementation of normalized burn ratio which is widely used to highlight burned areas on Google Earth Engine platform. Both vector data and satellite images were used in the study. The vector data is in the shape file format and was uploaded to the Google Earth Engine platform as a table. The Sentinel-2 imagery was used to calculate normalized burn ratio. The satellite imagery was clipped using the table data. The difference pre-fire and post-fire images was calculated, and the classes were assigned to the pixels according to the normalized burn ratio ranges. The study indicates that finding the burned areas and constructing the burn severity levels can be realized in 1.32 minutes on Google Earth Engine platform.},
 year = {2021}
}

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