Spatial clustering of vegetation fire intensity using modis satellite data
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
Abstract
This work analyses the spatial clustering of fire intensity in Zimbabwe, using remotely
sensed Moderate Resolution Imaging Spectroradiometer (MODIS) active fire occurrence data. In
order to investigate the spatial pattern of fire intensity, MODIS-derived fire radiative power (FRP)
was utilized. A local indicator of spatial autocorrelation method, the Getis-Ord (Gi*) spatial statistic,
was applied to show the spatial distribution of high and low fire intensity clusters. Analysis of the
relationship between topographic variables, vegetation type, agroecological zones and fire intensity
was done. According to the study’s findings, the majority (44%) of active fires detected in the study
area in 2019 were of low-intensity (cold spots), and the majority (49.3%) of them occurred in shrubland.
High-intensity fires (22%) primarily occurred in the study area’s eastern and western regions. The
study findings demonstrate the utility of spatial statistics methods in conjunction with satellite fire
data in detecting clusters of high and low-intensity fires (hot spots and cold spots).
Description
Keywords
Agriculture, Fire, Vegetation, Climate change
Citation
Mupfiga, U. N. et al. (2022). Spatial clustering of vegetation fire intensity using modis satellite data. Atmosphere, 13(12), art. no. 1972. https://doi.org/10.3390/atmos13121972