Informational analysis of MODIS NDVI and EVI time series of sites affected and unaffected by wildfires

Rui Ba, Weiguo Song, Michele Lovallo, Hui Zhang and Luciano Telesca

Physica A: Statistical Mechanics and its Applications, 2022, vol. 604, issue C

Abstract: Vegetation dynamic processes influenced by fires has represented a scientific topic of great importance because of the environmental impact of fires. The use of satellites to investigate vegetational trends has become quite common for the wide coverage and high spatial resolution of satellite images. In this paper, we study the temporal variability of MODIS Aqua and Terra Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) data acquired from 2000 to 2020 and covering the area burned by Camp Fire (California) in 2018. In 2008 other two fires, the BTU Lightning Complex Fire and the Humboldt Fire burned a large part of the same area. The objective of our study, thus, is the characterization of the time dynamics of MODIS Aqua and Terra NDVI and EVI series of sites affected by one and two wildfires by using the Fisher–Shannon (FS) method that allows to have information about the organization/disorder of the time series in relationship with the vegetation post-fire recovery process. Our results suggest that multiple fires cause a decrease of organization and order of NDVI and EVI, indicating a loss a regularity of their time variation.

Keywords: Vegetation; Fires; Satellite time series; Fisher–Shannon method (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:604:y:2022:i:c:s0378437122005829

DOI: 10.1016/j.physa.2022.127911

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