![](\"../Supplementary_data/upload_files_icon.png\"){kind=icon}
in the top left corner of the Jupyter Notebook interface. ESRI shapefiles must be uploaded with all the related files `(.cpg, .dbf, .shp, .shx)`. Once uploaded, you can use the shapefile or geojson to define the area of interest. Remember to update the code to call the file you have uploaded.\n",
+ "\n",
+ "To use one of these methods, you can uncomment the relevant line of code and comment out the other one. To comment out a line, add the `\"#\"` symbol before the code you want to comment out. By default, the first option which defines the location using latitude, longitude, and buffer is being used.\n",
+ "\n",
+ "**If running the notebook for the first time**, keep the default settings below.\n",
+ "This will demonstrate how the analysis works and provide meaningful results.\n",
+ "The example covers a fire event in an area within the southern Cape forestry area near George, South Africa. During late October and early November 2018, relatively dry weather conditions prevailed, creating favorable conditions for forest fires that destroyed extensive areas of plantation forests. Two wildfires occurred in succession: the first broke out due to human-induced ignition on October 24th, and the second was ignited by lightning on October 29th.\n",
+ "\n",
+ "**To run the notebook for a different area**, make sure Sentinel-2 or Landsat 8 or 9 data is available for the chosen area using the [DEAfrica Explorer](https://explorer.digitalearth.africa)."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "a8f3657f-f777-4721-88a2-545039642209",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Method 1: Specify the latitude, longitude, and buffer)\n",
+ "aoi = define_area(lat=-33.8875, lon=22.569403, buffer=0.1)\n",
+ "\n",
+ "# Method 2: Use a polygon as a GeoJSON or Esri Shapefile. \n",
+ "# aoi = define_area(vector_path='aoi.shp')\n",
+ "\n",
+ "#Create a geopolygon and geodataframe of the area of interest\n",
+ "geopolygon = Geometry(aoi[\"features\"][0][\"geometry\"], crs=\"epsg:4326\")\n",
+ "geopolygon_gdf = gpd.GeoDataFrame(geometry=[geopolygon], crs=geopolygon.crs)\n",
+ "\n",
+ "# Get the latitude and longitude range of the geopolygon\n",
+ "lat_range = (geopolygon_gdf.total_bounds[1], geopolygon_gdf.total_bounds[3])\n",
+ "lon_range = (geopolygon_gdf.total_bounds[0], geopolygon_gdf.total_bounds[2])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "fcafb9a5-0856-4305-be8f-c26722aa7a53",
+ "metadata": {},
+ "source": [
+ "## View the selected location\n",
+ "The next cell will display the selected area on an interactive map.\n",
+ "Feel free to zoom in and out to get a better understanding of the area you'll be analysing.\n",
+ "Clicking on any point of the map will reveal the latitude and longitude coordinates of that point."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "39d47ed9-6295-46ac-8418-eb404baca319",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "