SkogDataPy

Facilitates the access to geospatial data about forests from specific providers, such as the Swedish Forest Agency - Skogsstyrelsen.

In the current version, just the Canopy Height Model (i.e., Tradhojd_LaserdataSkog) is supported.

Description

Data is retrieved on-demand from the FTP server (ftpsks.skogsstyrelsen.se) and saved in the cache folder. Alternatively, you can pre-download data from the FTP server with your favorite ftp client, such as FileZilla. Note that the location of the cache folder can be set with the .env file.

Setup

1. Create a Python virtual environment and install dependencies

The first time:

python -m venv .venv
source .venv/bin/activate
pip install -e .[all]

Activate the environment

source .venv/bin/activate

2. Run the tests

pytest

3. Run a simple example

Open Python console and run:

import shapely
import matplotlib.pyplot as plt
from skogdata import DataSourceCatalog, plot_geometry_and_raster 

polygon = shapely.box(394775.27, 6281550.40, 394907.35, 6281605.49)  # Coordinates are in SWEREF99 geodetic system
plot_geometry_and_raster(polygon)
plt.show()

4. Run a simple notebook

If you want to run everything in the virtual environment, install Jupyter Notebook, first:

pip install notebook ipywidgets IProgress

Then, open and run the example_usage.ipynb notebook:

jupyter notebook example_usage.ipynb