Abstract
Some satellite-based indices are useful for fire susceptibility estimation in some regions. However, the obtained results are region-dependent to some extent. The aim of this study is to assess the effectiveness of two NDVI-derived indices: the relative greenness index (RGI) and the vegetation danger index (VDI) applied to the northern China. Thus, the Moderate Resolution Imaging Spectroradiometer sensor (MODIS) data MYD13Q1, which is the 16-days composite product, were used. The results indicated that the RGI values were higher than 70% during the before-fire period from spring up to autumn, whereas it have decreased sharply when fire happened and after a period time and also it was below normal level during a period of after-fire. The VDI values were negative when fire happened and after a short period and that of the before fire and after fire were positive. Thus, it can be concluded that the two MODIS-based NDVI-derived indices have a higher possibility for fire susceptibility estimation even though it needs to combine other fire-related parameters.
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Li, X., Lanorte, A., Telesca, L., Song, W., Lasaponara, R. (2015). Assessment of MODIS-Based NDVI-Derived Index for Fire Susceptibility Estimation in Northern China. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2015. ICCSA 2015. Lecture Notes in Computer Science(), vol 9158. Springer, Cham. https://doi.org/10.1007/978-3-319-21410-8_15
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DOI: https://doi.org/10.1007/978-3-319-21410-8_15
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