PYTHON COMMANDS FOR GRASS GIS INSTALL
PYTHON COMMANDS FOR GRASS GIS DOWNLOAD

In this case, we will use the 13 Anderson Fire Behavior Fuel Model available at. To run our fire simulation we need a fuel model defined by the USDA Forest Service.

PYTHON COMMANDS FOR GRASS GIS DOWNLOAD

Lastly, the clipped Image will be exported to our Google Drive storage and from there we will download it to our working directory. Next, we will calculate a mean Image and clip it using the previously created polygon. We will download EVI data from GEE by calling the Landsat 8 Collection 1 Tier 1 32-Day EVI Composite, filter by date and bounds using the Yosemite FC. # load GRIDMET ImageCollection gridmet = ee.ImageCollection('IDAHO_EPSCOR/GRIDMET').filter(ee.Filter.date('', '')) # create a rectangle coords = bbox = ee.Geometry.Rectangle(coords) # select 100-hour dead fuel moisture (fm100) and calculate the mode fm100 = lect('fm100').mode() # clip data to rectangle fm100_clip =fm100.clip(bbox) # create 2000 random points fm100_points = ee.FeatureCollection.randomPoints(bbox, 2000) # sample points using the mean samplefm100 = fm100_clip.reduceRegions(**) # transform fc into gdf samplefm100GDF = eeconvert.fcToGdf(samplefm100) # convert gdf into shp samplefm100GDF.to_file('gisdata/yosemite/shp/samplefm100.shp') Finally, the resulting FC will be transformed into a GeoDataFrame and save as a shapefile into our working directory. After that, we will create 2000 random points that will be used to sample the Image using the mean. The resulting image will be clipped to the previously created polygon. Next, we will select the required data and calculate the mode. Second, we will create a rectangle that will be used to clip the data. To obtain 100-Hour Fuel Moisture, Wind Direction, and Wind Velocity data from GEE we need first to call the GRIDMET ImageCollection and filter by date. # get World Data Protected Areas (WDPA) FeatureCollection pa = ee.FeatureCollection('WCMC/WDPA/current/polygons') # Yosemite National Park polygon filter = ee.Filter.inList('NAME', ) yosemite = pa.filter(filter) # transform Yosemite fc into gdf yosGDF = eeconvert.fcToGdf(yosemite) # convert gdf into shp yosGDF.to_file('gisdata/yosemite/shp/yosemite.shp')

We will convert the extracted FC into a GeoDataFrame (GDF) and save it as a shapefile into our working directory. We will call the WDPA FeatureCollection (FC) and extract the Yosemite National Park polygon.

PYTHON COMMANDS FOR GRASS GIS INSTALL

You need to install the following packages that are not contained in Anaconda: Geopandas, GEE Python API, eeconvert, geemap. Our Python environment is based on an Anaconda installation on Ubuntu 20.04. You also need to install the latest version of GRASS GIS and have an active GEE account.

This tutorial assumes you are working in a Jupyter Notebook and a Python environment with all required packages.

Python commands for grass gis