High-resolution burned areas using Sentinel-2 data
Project description
A Practical Method for High-Resolution Burned Areas Monitoring using Sentinel-2 and VIIRS
Install using pip
pip install FireHR
Install from repo
git clone https://github.com/mnpinto/FireHR
cd FireHR; pip install -e .
How to use
Configuration of Google Earth Engine API
Run the following python code and follow the link to generate the authentication file:
import ee
ee.Authenticate()
Once you are done you should see the message Successfully saved authorization token.
and the file ~/.config/earthengine/credentials
should exist.
Please refer to https://developers.google.com/earth-engine/guides/python_install for more information about the GEE Python API.
Command line utility to run FireHR for an event as outputed by BA-Net post-processing
firehr_from_banet_events ba100m_PT2020_218.tif
Optional arguments:
Argument | default | type | description |
---|---|---|---|
path | '.' | str | Path to save the outputs. |
composite_days_before | 120 | int | Time window size in days for the pre-fire data |
composite_days_after | 120 | int | Time window size in days for the post-fire data |
max_cloud_fraction | None | float (0.0-1.0) | Remove images with a cloud fraction higher than specified |
use_least_cloudy | None | int | Select the n least cloudy images in the time_window |
Example using use_least_cloudy
parameter:
firehr_from_banet_events ba100m_PT2020_218.tif --use_least_cloudy 5
Project details
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