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scl3/task_scl_eff_pot_hab

By scl3

•Updated over 4 years ago

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Machine learning & AI
Data science
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scl3/task_scl_eff_pot_hab repository overview

⁠Species Conservation Landscapes effective potential habitat task

Task for calculating effective potential habitat for a species on a date. Structural habitat, produced by task_scl_structural_habitat⁠ and defined as areas that are habitat from a remote sensing point of view, is masked by the Human Impact Index⁠ using thresholds that are determined by year and by species "zone". Then a filter for patch size is applied, using a "stepping stone" logic that grows habitat areas according to species dispersal distance. Finally, the task outputs an image for effective potential habitat itself, an image for species conservation landscapes with many of the bands necessary for classification by task_scl_classification⁠, and a vectorized version of the polygons ready to be classified.

⁠Usage

All parameters may be specified in the environment as well as the command line.

/app # python task.py --help
usage: task.py [-h] [-d TASKDATE] [-s SPECIES] [--scenario SCENARIO] [--overwrite]

optional arguments:
  -h, --help            show this help message and exit
  -d TASKDATE, --taskdate TASKDATE
  -s SPECIES, --species SPECIES
  --scenario SCENARIO
  --overwrite           overwrite existing outputs instead of incrementing
⁠License

Copyright (C) 2022 Wildlife Conservation Society The files in this repository are part of the task framework for calculating Human Impact Index and Species Conservation Landscapes (https://github.com/SpeciesConservationLandscapes⁠) and are released under the GPL license: https://www.gnu.org/licenses/#GPL⁠ See LICENSE⁠ for details.

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Last updated

over 4 years ago

docker pull scl3/task_scl_eff_pot_hab