Inter-comparison of fire severity indices from moderate (MODIS) and moderate-to-high spatial resolution (Landsat 8 & Sentinel-2A) satellite sensors

Shahriar Rahman; Hsing-Chung Chang; Warwick Hehir; Christina Magill; Kerrie Tomkins

doi:10.1109/IGARSS.2018.8518449

Inter-comparison of fire severity indices from moderate (MODIS) and moderate-to-high spatial resolution (Landsat 8 & Sentinel-2A) satellite sensors

Shahriar Rahman, Hsing-Chung Chang, Warwick Hehir, Christina Magill, Kerrie Tomkins

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

3 Citations (Scopus)

Abstract

Fire severity indices have been using to assess the level of fire severity and extent of burned areas. Three established fire severity indices - differenced Normalized Burn Ratio (dNBR), Relativized dNBR (RdNBR) and Relativized Burn Ratio (RBR) - from three optical satellite sensors (MODIS, Landsat 8 and Sentinel-2A) were compared in this study. Fire Severity Indices were derived for initial (immediately after the fire) and extended (a certain time after the fire) fire severity assessment. During the Kains Flat Fire, New South Wales, Australia, Callitris, Eucalypt Medium Woodland and Other Native Forest were the three-major fire affected forest types. Sentinel-2A derived fire indices showed better assessment of fire severity compared to the MODIS (Moderate Resolution Imaging Spectroradiometer) and Landsat 8 sensor. Landsat 8 and Sentinel-2A derived fire severity indices showed higher similarities in fire severity indices inter-comparisons. This study will facilitate the selection of appropriate fire indices and indices combinations for fire severity assessment in heterogeneous landscapes, burn severity mapping and monitoring.

Original language	English
Title of host publication	2018 IEEE International Geoscience and Remote Sensing Symposium
Subtitle of host publication	proceedings
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	2873-2876
Number of pages	4
Volume	2018-July
ISBN (Electronic)	9781538671504
ISBN (Print)	9781538671511
DOIs	https://doi.org/10.1109/IGARSS.2018.8518449
Publication status	Published - 2018
Event	IEEE International Geoscience and Remote Sensing Symposium (38th : 2018) - Valencia, Spain Duration: 22 Jul 2018 → 27 Jul 2018

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium (38th : 2018)
Abbreviated title	IGARSS 2018
Country/Territory	Spain
City	Valencia
Period	22/07/18 → 27/07/18

Keywords

Fire severity index
Landsat 8
Sentinel-2
optical sensors

Access to Document

10.1109/IGARSS.2018.8518449

Cite this

Rahman, S., Chang, H-C., Hehir, W., Magill, C., & Tomkins, K. (2018). Inter-comparison of fire severity indices from moderate (MODIS) and moderate-to-high spatial resolution (Landsat 8 & Sentinel-2A) satellite sensors. In 2018 IEEE International Geoscience and Remote Sensing Symposium: proceedings (Vol. 2018-July, pp. 2873-2876). [8518449] Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IGARSS.2018.8518449

Rahman, Shahriar ; Chang, Hsing-Chung ; Hehir, Warwick et al. / Inter-comparison of fire severity indices from moderate (MODIS) and moderate-to-high spatial resolution (Landsat 8 & Sentinel-2A) satellite sensors. 2018 IEEE International Geoscience and Remote Sensing Symposium: proceedings. Vol. 2018-July Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2018. pp. 2873-2876

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abstract = "Fire severity indices have been using to assess the level of fire severity and extent of burned areas. Three established fire severity indices - differenced Normalized Burn Ratio (dNBR), Relativized dNBR (RdNBR) and Relativized Burn Ratio (RBR) - from three optical satellite sensors (MODIS, Landsat 8 and Sentinel-2A) were compared in this study. Fire Severity Indices were derived for initial (immediately after the fire) and extended (a certain time after the fire) fire severity assessment. During the Kains Flat Fire, New South Wales, Australia, Callitris, Eucalypt Medium Woodland and Other Native Forest were the three-major fire affected forest types. Sentinel-2A derived fire indices showed better assessment of fire severity compared to the MODIS (Moderate Resolution Imaging Spectroradiometer) and Landsat 8 sensor. Landsat 8 and Sentinel-2A derived fire severity indices showed higher similarities in fire severity indices inter-comparisons. This study will facilitate the selection of appropriate fire indices and indices combinations for fire severity assessment in heterogeneous landscapes, burn severity mapping and monitoring.",

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author = "Shahriar Rahman and Hsing-Chung Chang and Warwick Hehir and Christina Magill and Kerrie Tomkins",

year = "2018",

doi = "10.1109/IGARSS.2018.8518449",

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Rahman, S, Chang, H-C, Hehir, W, Magill, C & Tomkins, K 2018, Inter-comparison of fire severity indices from moderate (MODIS) and moderate-to-high spatial resolution (Landsat 8 & Sentinel-2A) satellite sensors. in 2018 IEEE International Geoscience and Remote Sensing Symposium: proceedings. vol. 2018-July, 8518449, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 2873-2876, IEEE International Geoscience and Remote Sensing Symposium (38th : 2018), Valencia, Spain, 22/07/18. https://doi.org/10.1109/IGARSS.2018.8518449

Inter-comparison of fire severity indices from moderate (MODIS) and moderate-to-high spatial resolution (Landsat 8 & Sentinel-2A) satellite sensors. / Rahman, Shahriar; Chang, Hsing-Chung; Hehir, Warwick et al.
2018 IEEE International Geoscience and Remote Sensing Symposium: proceedings. Vol. 2018-July Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 2873-2876 8518449.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AU - Magill, Christina

AU - Tomkins, Kerrie

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N2 - Fire severity indices have been using to assess the level of fire severity and extent of burned areas. Three established fire severity indices - differenced Normalized Burn Ratio (dNBR), Relativized dNBR (RdNBR) and Relativized Burn Ratio (RBR) - from three optical satellite sensors (MODIS, Landsat 8 and Sentinel-2A) were compared in this study. Fire Severity Indices were derived for initial (immediately after the fire) and extended (a certain time after the fire) fire severity assessment. During the Kains Flat Fire, New South Wales, Australia, Callitris, Eucalypt Medium Woodland and Other Native Forest were the three-major fire affected forest types. Sentinel-2A derived fire indices showed better assessment of fire severity compared to the MODIS (Moderate Resolution Imaging Spectroradiometer) and Landsat 8 sensor. Landsat 8 and Sentinel-2A derived fire severity indices showed higher similarities in fire severity indices inter-comparisons. This study will facilitate the selection of appropriate fire indices and indices combinations for fire severity assessment in heterogeneous landscapes, burn severity mapping and monitoring.

AB - Fire severity indices have been using to assess the level of fire severity and extent of burned areas. Three established fire severity indices - differenced Normalized Burn Ratio (dNBR), Relativized dNBR (RdNBR) and Relativized Burn Ratio (RBR) - from three optical satellite sensors (MODIS, Landsat 8 and Sentinel-2A) were compared in this study. Fire Severity Indices were derived for initial (immediately after the fire) and extended (a certain time after the fire) fire severity assessment. During the Kains Flat Fire, New South Wales, Australia, Callitris, Eucalypt Medium Woodland and Other Native Forest were the three-major fire affected forest types. Sentinel-2A derived fire indices showed better assessment of fire severity compared to the MODIS (Moderate Resolution Imaging Spectroradiometer) and Landsat 8 sensor. Landsat 8 and Sentinel-2A derived fire severity indices showed higher similarities in fire severity indices inter-comparisons. This study will facilitate the selection of appropriate fire indices and indices combinations for fire severity assessment in heterogeneous landscapes, burn severity mapping and monitoring.

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SN - 9781538671511

VL - 2018-July

SP - 2873

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BT - 2018 IEEE International Geoscience and Remote Sensing Symposium

PB - Institute of Electrical and Electronics Engineers (IEEE)

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ER -

Rahman S, Chang H-C, Hehir W, Magill C, Tomkins K. Inter-comparison of fire severity indices from moderate (MODIS) and moderate-to-high spatial resolution (Landsat 8 & Sentinel-2A) satellite sensors. In 2018 IEEE International Geoscience and Remote Sensing Symposium: proceedings. Vol. 2018-July. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2018. p. 2873-2876. 8518449 doi: 10.1109/IGARSS.2018.8518449

Inter-comparison of fire severity indices from moderate (MODIS) and moderate-to-high spatial resolution (Landsat 8 & Sentinel-2A) satellite sensors

Abstract

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Keywords

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