Monthly
Seasonal (DJF)
Seasonal (MAM)
Seasonal (JJA)
Seasonal (SON)
Yearly (JUL-JUN)
Yearly (JAN-DEC)

Niger (NER)

Area Burned by All Fires

Includes fires detected by the MODIS burned area product with 500m resolution
(MCD64A1c6.1; Giglio et al., 2018)

Downloads:

Image: png
Timeseries data: csv
Statistical summary data: csv
Processing

Area Burned by Forest Fires

Forests are any areas with tree cover over 30%, based on the MODIS vegetation continuous field product with 250m
(MCD12Q1c6.0; Giglio et al., 2018)

Downloads:

Image: png
Timeseries data: csv
Statistical summary data: csv
Processing

Carbon Emissions from All Fires

Emissions from all fires based on the 500m GFED product driven by MCD64A1c6.1
(van Wees et al., 2023)

Downloads:

Image: png
Timeseries data: csv
Statistical summary data: csv
Processing

Carbon Emissions from Forest Fires

Emissions from forest fires based on the 500m GFED product driven by MCD64A1c6.1
(van Wees et al., 2023)

Downloads:

Image: png
Timeseries data: csv
Statistical summary data: csv
Processing

NOTES

Processing

Set the timescale using the radio buttons. Selecting a country will take you to a page showing the timeseries of all variables processed.


Country level aggregation

The raw data is at 0.25 degrees resolution. The Natural Earth v5.0.0 countries_110 mask is used to compute aggregated totals at the monthly, yearly (JAN-DEC), yearly (JUL-JUN), seasonal (DJF), seasonal (DJF), seasonal (MAM), and seasonal (SON) timescales.


Variables


(1) Area Burned by All Fires

The total area burned by fires in the country in units of thousands of km².


(2) Area Burned by Forest Fires

The total burned area by forest fire in the country from gridcells having 30% tree cover in units of thousands of km².


(3) Carbon Emissions from All Fires

The total carbon emissions from all fires in the country in units of thousands of tonnes of C.


(4) Carbon Emissions from Forest Fires

The total carbon emissions from forest fires in the country from gridcells having 30% tree cover in units of thousands of tonnes of C.


Data export

The underlying data for each plot is in CSV format.


Statistics


The timeseries are fit with a robust OLS regression (Theil-Sen) and a regression t-test is performed to determine if the OLS slope is significant at the 95% confidence level (p < 0.05, alpha = 0.05). This is only shown when the alternative hypothesis is true. The uncertainty band for the 95% confidence interval on the slope and intercept is provided. For each timescale (with the exception of the monthly data), 5-yr means are shaded as a visual guide to help understand the variability and potential trend in the data.


Page created on 2024-01-09 by Michael Taylor (CRU/UEA) for the UEA PVC impact study project with Matt Jones and Tim Osborn.