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Spectral Characteristic Analysis of Burned Area Based on MODIS Data

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The Proceedings of 11th Asia-Oceania Symposium on Fire Science and Technology (AOSFST 2018)

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Abstract

Wildfires are one of the major serious disasters all over the world. The technology of satellite remote sensing provides useful data for post-fire assessment. This study aimed to investigate the optimal spectral indices for mapping post-fire-burned area. We acquired the post-fire data of Moderate Resolution Imaging Spectroradiometer (MODIS) sensor over several wildfires in boreal forest in western America, 2016. Then, we adopted empirical formula and multi-threshold method to extract the sample sets of five types (burned area, vegetation, cloud, bare soil, and shadow). The separability of spectral indices between burned area and other four types was analyzed by separability index M. Based on the spectral characteristic analysis of burned area, the value of separability index M of the six spectral indices (VI, CSI, MIRBI, NBR, NSEv1, and NSTv1) is larger than 1.0, which indicates that these indices perform well in discriminating burned area and unburned types, and NIR (0.841–0.876 μm), SWIR (2.105–2.155 μm) spectral domain, emissivity of thermal infrared band and land surface temperature are also proved to be sensitive to burned area. The optimal spectral indices obtained in this paper can be integrated into the burned area detection algorithm in further research.

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Abbreviations

ρ i :

Reflectance of spectral band i

T i :

Bright temperature of spectral band i (K)

E i :

Emissivity of spectral band i

T s :

Land surface temperature (℃)

M:

Separability index

α :

Slope of empirical formula

β :

Vertical offset of empirical formula

μ :

Mean value

σ :

Standard deviations

i :

Spectral band

b :

Burned area

u :

Unburned type

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Acknowledgements

This research was supported by Key Research and Development Program of China (2016YFC0802508), and Fundamental Research Funds for the Central Universities (WK2320000035). All authors carried out the research together. Weiguo Song leads the research group. Siuming Lo provided research methodology assistance. Zixi Xie was responsible for collecting data. Rui Ba was responsible for data processing, analysis and drafted the manuscript. All authors revised and approved the final manuscript.

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Authors and Affiliations

  1. State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, Anhui, 230027, China

    Rui Ba, Weiguo Song & Zixi Xie

  2. Department of Civil and Architectural Engineering, City University of Hong Kong, Hong Kong, 999077, China

    Rui Ba & Siuming Lo

Authors
  1. Rui Ba
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  2. Weiguo Song
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  3. Siuming Lo
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  4. Zixi Xie
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Corresponding author

Correspondence to Weiguo Song .

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Editors and Affiliations

  1. Department of Fire Science, Central Police University, Taoyuan City, Taiwan

    Guan-Yuan Wu

  2. National Kaohsiung University of Science and Technology, Kaohsiung City, Taiwan

    Kuang-Chung Tsai

  3. Hong Kong Polytechnic University, Hong Kong, China

    W. K. Chow

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Ba, R., Song, W., Lo, S., Xie, Z. (2020). Spectral Characteristic Analysis of Burned Area Based on MODIS Data. In: Wu, GY., Tsai, KC., Chow, W.K. (eds) The Proceedings of 11th Asia-Oceania Symposium on Fire Science and Technology. AOSFST 2018. Springer, Singapore. https://doi.org/10.1007/978-981-32-9139-3_29

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  • DOI: https://doi.org/10.1007/978-981-32-9139-3_29

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9138-6

  • Online ISBN: 978-981-32-9139-3

  • eBook Packages: EngineeringEngineering (R0)

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