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Assessment of MODIS-based NDVI-derived index for fire susceptibility estimation in northern china

Capitolo di libro
Data di Pubblicazione:
2015
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.
Tipologia CRIS:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Fire susceptibility; MODIS; NDVI-derived; Relative greenness; Vegetation danger index
Elenco autori:
Telesca, Luciano; Lasaponara, Rosa; Lanorte, Antonio
Autori di Ateneo:
LANORTE ANTONIO
LASAPONARA ROSA
TELESCA LUCIANO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/307953
Titolo del libro:
Computational Science and Its Applications -- ICCSA 2015
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URL

http://link.springer.com/chapter/10.1007%2F978-3-319-21410-8_15
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