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 fire occurrence data. In order to investigate the spatial pattern of fire intensity, MODIS-derived fire radiative power (FRP) was utilized. A lo...
Main Authors: | Upenyu Naume Mupfiga, Onisimo Mutanga, Timothy Dube, Pedzisai Kowe |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-11-01
|
Series: | Atmosphere |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4433/13/12/1972 |
Similar Items
-
National-scale spatiotemporal patterns of vegetation fire occurrences using MODIS satellite data.
by: Upenyu Naume Mupfiga, et al.
Published: (2024-01-01) -
Spatiotemporal variation in fire occurrence in the state of Amazonas, Brazil, between 2003 and 2016
by: Benjamin Leonardo Alves WHITE
Published: (2018-12-01) -
Autoregressive Forecasting of the Number of Forest Fires Using an Accumulated MODIS-Based Fuel Dryness Index
by: Daniel José Vega-Nieva, et al.
Published: (2023-12-01) -
Near Real-Time Automated Early Mapping of the Perimeter of Large Forest Fires from the Aggregation of VIIRS and MODIS Active Fires in Mexico
by: Carlos Ivan Briones-Herrera, et al.
Published: (2020-06-01) -
Modeling the Monthly Distribution of MODIS Active Fire Detections from a Satellite-Derived Fuel Dryness Index by Vegetation Type and Ecoregion in Mexico
by: Daniel José Vega-Nieva, et al.
Published: (2023-12-01)