Spatial Clustering of Vegetation Fire Intensity Using MODIS Satellite Data

This work analyses the spatial clustering of fire intensity in Zimbabwe, using remotely sensed Moderate Resolution Imaging Spectroradiometer (MODIS) active occurrence data. In order to investigate pattern intensity, MODIS-derived radiative power (FRP) was utilized. A local indicator autocorrelation method, Getis-Ord (Gi*) statistic, applied show distribution high and low clusters. Analysis relationship between topographic variables, vegetation type, agroecological zones done. According study’s findings, majority (44%) fires detected study area 2019 were low-intensity (cold spots), (49.3%) them occurred shrubland. High-intensity (22%) primarily area’s eastern western regions. The findings demonstrate utility statistics methods conjunction with satellite data detecting clusters (hot spots cold spots).