Streamlining the process to bring remotely sensed data to foresters

• Free software: MIT License
• Documentation: https://taraskiba.github.io/skiba/

• Access and retrieve pixel values from Google Earth Engine Images or ImageCollections and a desired time-period for a .CSV provided coordinates.
  • Results can be exported averaged over matching plot IDs or individual points.
• Buffer sensitive coordinates:
  • Buffer to a singular point within a specified radius.
  • Buffer to n points within a specified radius.
• Create a map with provided coordinates and built-in basemaps and geojson overlays.
• Please understand the limitations of Google's confidentiality policy before use.

pip install skiba

Once installed, you need to authenticate your Google Earth Engine account. You can do this by running the following commands in Python:

import ee
# Initialize Earth Engine
ee.Authenticate()
ee.Initialize(project="ee-forestplotvariables")

To load widget boxes, run the following command in Python:

# For single point buffering
import skiba.buffer_coordinates as sbc
single = sbc.buffer_coordinates().vbox
single

# For multiple point buffering
import skiba.buffer_and_sample as sbs
multiple = sbs.buffer().vbox
multiple

# For non-aggregated point extraction
import skiba.point_extraction as spe
point = spe.PointExtraction().vbox
point

# For aggregated point extraction
import skiba.aggregated_point_extraction as sape
agg = sape.AggregatedPointExtraction().vbox
agg

# For the mapping tool
import skiba.interactive as map
m = map.Map()
m

For a non-python user, you can access the Streamlit app here: https://gskiba.streamlit.app/

pending

• Logo was designed by HiDream-I1-Dev (https://huggingface.co/spaces/HiDream-ai/HiDream-I1-Dev)