Burn Severity Estimation in Northern Australia Tropical Savannas Using Radiative Transfer Model and Sentinel-2 Data

Changming Yin; Binbin He; Marta Yebra; Xingwen Quan; Andrew C. Edwards; Xiangzhuo Liu; Zhanmang Liao; Kaiwei Luo

doi:10.1109/IGARSS.2019.8899857

Burn Severity Estimation in Northern Australia Tropical Savannas Using Radiative Transfer Model and Sentinel-2 Data

Changming Yin, Binbin He, Marta Yebra, Xingwen Quan, Andrew C. Edwards, Xiangzhuo Liu, Zhanmang Liao, Kaiwei Luo

CDU College of Engineering, IT and Environment

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

Abstract

In this study, the burn severity of several wildfires ignited at northern Australian tropical savannas area were estimated using the Forest Reflectance and Transmittance (FRT) radiative transfer model (RTM) and Sentinel-2A Multi-Spectral Instrument (MSI) satellite data. To alleviate the spectral confusion between severe (SV) and not-severe (NSV) burnt levels caused by sparse tree distribution, the MODIS Vegetation Continuous Fields (VCF) tree cover percentage data was used to constrain the inversion. The results showed that the accuracy of burn severity estimation significantly improves when considering the tree coverage, with overall accuracy for two study sites increasing from 65% to 81% and kappa coefficient from 0.35 to 0.55. Future work will focus on extending the methodology to other ecosystems.

Original language	English
Title of host publication	2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
Place of Publication	Piscataway, NJ
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	6712-6715
Number of pages	4
Edition	1
ISBN (Electronic)	9781538691540
DOIs	https://doi.org/10.1109/IGARSS.2019.8899857
Publication status	Published - 14 Nov 2019
Event	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan Duration: 28 Jul 2019 → 2 Aug 2019

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Country/Territory	Japan
City	Yokohama
Period	28/07/19 → 2/08/19

Access to Document

10.1109/IGARSS.2019.8899857

Cite this

Yin, C., He, B., Yebra, M., Quan, X., Edwards, A. C., Liu, X., Liao, Z., & Luo, K. (2019). Burn Severity Estimation in Northern Australia Tropical Savannas Using Radiative Transfer Model and Sentinel-2 Data. In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings (1 ed., pp. 6712-6715). [8899857] (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IGARSS.2019.8899857

Yin, Changming ; He, Binbin ; Yebra, Marta et al. / Burn Severity Estimation in Northern Australia Tropical Savannas Using Radiative Transfer Model and Sentinel-2 Data. 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. 1. ed. Piscataway, NJ : IEEE, Institute of Electrical and Electronics Engineers, 2019. pp. 6712-6715 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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title = "Burn Severity Estimation in Northern Australia Tropical Savannas Using Radiative Transfer Model and Sentinel-2 Data",

abstract = "In this study, the burn severity of several wildfires ignited at northern Australian tropical savannas area were estimated using the Forest Reflectance and Transmittance (FRT) radiative transfer model (RTM) and Sentinel-2A Multi-Spectral Instrument (MSI) satellite data. To alleviate the spectral confusion between severe (SV) and not-severe (NSV) burnt levels caused by sparse tree distribution, the MODIS Vegetation Continuous Fields (VCF) tree cover percentage data was used to constrain the inversion. The results showed that the accuracy of burn severity estimation significantly improves when considering the tree coverage, with overall accuracy for two study sites increasing from 65% to 81% and kappa coefficient from 0.35 to 0.55. Future work will focus on extending the methodology to other ecosystems.",

keywords = "Burn severity, Radiative transfer model, Sentinel-2A, tree cover",

author = "Changming Yin and Binbin He and Marta Yebra and Xingwen Quan and Edwards, {Andrew C.} and Xiangzhuo Liu and Zhanmang Liao and Kaiwei Luo",

year = "2019",

month = nov,

day = "14",

doi = "10.1109/IGARSS.2019.8899857",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

pages = "6712--6715",

booktitle = "2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings",

address = "United States",

edition = "1",

note = "39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 ; Conference date: 28-07-2019 Through 02-08-2019",

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Yin, C, He, B, Yebra, M, Quan, X, Edwards, AC, Liu, X, Liao, Z & Luo, K 2019, Burn Severity Estimation in Northern Australia Tropical Savannas Using Radiative Transfer Model and Sentinel-2 Data. in 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. 1 edn, 8899857, International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ, pp. 6712-6715, 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, 28/07/19. https://doi.org/10.1109/IGARSS.2019.8899857

Burn Severity Estimation in Northern Australia Tropical Savannas Using Radiative Transfer Model and Sentinel-2 Data. / Yin, Changming; He, Binbin; Yebra, Marta et al.

2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. 1. ed. Piscataway, NJ : IEEE, Institute of Electrical and Electronics Engineers, 2019. p. 6712-6715 8899857 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

TY - GEN

T1 - Burn Severity Estimation in Northern Australia Tropical Savannas Using Radiative Transfer Model and Sentinel-2 Data

AU - Yin, Changming

AU - He, Binbin

AU - Yebra, Marta

AU - Quan, Xingwen

AU - Edwards, Andrew C.

AU - Liu, Xiangzhuo

AU - Liao, Zhanmang

AU - Luo, Kaiwei

PY - 2019/11/14

Y1 - 2019/11/14

N2 - In this study, the burn severity of several wildfires ignited at northern Australian tropical savannas area were estimated using the Forest Reflectance and Transmittance (FRT) radiative transfer model (RTM) and Sentinel-2A Multi-Spectral Instrument (MSI) satellite data. To alleviate the spectral confusion between severe (SV) and not-severe (NSV) burnt levels caused by sparse tree distribution, the MODIS Vegetation Continuous Fields (VCF) tree cover percentage data was used to constrain the inversion. The results showed that the accuracy of burn severity estimation significantly improves when considering the tree coverage, with overall accuracy for two study sites increasing from 65% to 81% and kappa coefficient from 0.35 to 0.55. Future work will focus on extending the methodology to other ecosystems.

AB - In this study, the burn severity of several wildfires ignited at northern Australian tropical savannas area were estimated using the Forest Reflectance and Transmittance (FRT) radiative transfer model (RTM) and Sentinel-2A Multi-Spectral Instrument (MSI) satellite data. To alleviate the spectral confusion between severe (SV) and not-severe (NSV) burnt levels caused by sparse tree distribution, the MODIS Vegetation Continuous Fields (VCF) tree cover percentage data was used to constrain the inversion. The results showed that the accuracy of burn severity estimation significantly improves when considering the tree coverage, with overall accuracy for two study sites increasing from 65% to 81% and kappa coefficient from 0.35 to 0.55. Future work will focus on extending the methodology to other ecosystems.

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KW - Radiative transfer model

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BT - 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings

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Yin C, He B, Yebra M, Quan X, Edwards AC, Liu X et al. Burn Severity Estimation in Northern Australia Tropical Savannas Using Radiative Transfer Model and Sentinel-2 Data. In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. 1 ed. Piscataway, NJ: IEEE, Institute of Electrical and Electronics Engineers. 2019. p. 6712-6715. 8899857. (International Geoscience and Remote Sensing Symposium (IGARSS)). https://doi.org/10.1109/IGARSS.2019.8899857

Burn Severity Estimation in Northern Australia Tropical Savannas Using Radiative Transfer Model and Sentinel-2 Data

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