GFED regions and most countries are available for selection by default. You can also add your own custom areas. Area selection tools are located on the right.
Use the search bar on the right to find a location by name. If your search result contains a polygon shape, it will be added to the map. Click on it to save it as a custom area.
Create custom areas using the drawing tools on the top-right corner of the map (3rd group). You can draw a polygon, draw a rectangle, import a GeoJSON feature, or import a zipped shapefile.
Click the icon on the left to generate a new chart. The charts are interactive. Click on an entry in the legend to temporarily add or remove it from the display.
If you select too many years or areas, your chart may become a bit cluttered. When building a monthly chart, we recommend selecting either multiple years, or multiple regions, but not both.
Download the analyzed data by clicking the icon on the top-right corner of a chart. The data will open in a new tab as a CSV. You can also download any custom areas by clicking the icon next to the area's marker on the map.
Click the and icons on the left to adjust the size of this panel. All charts will be resized to match the panel size. At the top of the chart panel ( ), click the icons to adjust the chart configuration.
If you encounter any errors or need additional help navigating the tool, please contact the developer.
This GFED Analysis Tool allows users to get a glimpse into the GFED dataset without having to download large files or write any code. It is for informational purposes only, and users intending to perform scientific analysis are advised to download the data. Visit the Data section for more information on individual datasets. This tool reads and serves up the following datasets:
NRT Emission estimates are hosted as an Arcmap Image Service at:
https://maps.nccs.nasa.gov/image02/rest/services/gfed/VIIRS_nrt_dailyEmissions/ImageServer
This quarter degree map is calculated using VIIRS hot spot data, which is overlaid with 500 MODIS maps to calculate Fire Radiate Power per landcover type for each GFED fire type (Deforested, Temperate Forest, Boreal Forest, Savannah, Agricultural, Peat).
Emissions estimates are calculated by multiplying FRP per fire type with the GFED4_Emissions_Factors table, creating the 6 band output of emissions estimates (Dry Matter, carbon, carbon dioxide, methane, particulate matter).
Emissions estimates for 2017+ are labeled as preliminary. Creating emissions estimates is a complex process that includes many factors such as fire count and burned area. This process cannot be started until after the year has ended. In many regions, fire counts can, however, be used as a proxy for emissions estimates.
The Analysis Tool gives you the option of viewing a preliminary emissions estimate for the current year based on the linear relationship of emissions estimates to fire counts from the previous years. An r2 value will be included with any preliminary estimate. Note that r2 values under 0.5 denote a very poor relationship between emissions and fire counts and you should most likely disregard the 2017+ preliminary estimate.
Since the GFED data have a quarter-degree resolution, most selected regions will lose some precision. The Analysis Tool internally processes all shapes to lie on a quarter degree grid, following this method described by Amir Patel of Red Blob Games. If the centroid of any reprocessed quarter-degree grid cell lies within the original shape, it will be included in the final calculation.
This tool allows you to use several methods to select your region. The Country drop-down menu in the "Add a Chart" form is populated from johan's world.geo.json files. The location search bar is connected to OpenStreetMap.
The GeoJSON and Shapefile import tools are preliminary. GeoJSON shapes following the format shown in the example should load without any problem. Shapefiles must first be bundled into a .zip file.
The burned area map layer was created from the GFED4.1s series data. This map has some minor reprojection issues, and will not be accurate at high zoom levels.
The webmap tools used on this page make use of the Leaflet.js javascript mapping library, and the many plugins available for it. Charts are created using the C3.js javascript library, a D3-based chart library.
Data is served through an instance of the HDF Server. We welcome any inquiries from anyone interested in more details about the development of this tool.