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darts-nextgen

Panarctic Database of Active Layer Detachment Slides and Retrogressive Thaw Slumps from Deep Learning on High Resolution Satellite Imagery.

https://github.com/awi-response/darts-nextgen

Science Score: 44.0%

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Last synced: 10 months ago · JSON representation ·

Repository

Panarctic Database of Active Layer Detachment Slides and Retrogressive Thaw Slumps from Deep Learning on High Resolution Satellite Imagery.

Basic Info
Statistics
  • Stars: 5
  • Watchers: 2
  • Forks: 2
  • Open Issues: 51
  • Releases: 14
Created over 1 year ago · Last pushed 10 months ago
Metadata Files
Readme License Citation

README.md

DARTS nextgen

Lint CI

Early Alpha!

Panarctic Database of Active Layer Detachment Slides and Retrogressive Thaw Slumps from Deep Learning on High Resolution Satellite Imagery. This is te successor of the thaw-slump-segmentation (pipeline), with which the first version of the DARTS dataset was created.

Documentation

The documentation is available at https://awi-response.github.io/darts-nextgen/. It is recommended to read the overview before working with the project.

Quick Start

  1. Download source code from the GitHub repository:

    sh git clone git@github.com:awi-response/darts-nextgen.git cd darts-nextgen

  2. Install the required dependencies:

    sh uv sync --extra cuda126 --extra training

    For other installation options, e.g. using conda, see the installation guide.

  3. Run the Sentinel 2 based pipeline on an area of interest:

    sh uv run darts run-sequential-aoi-sentinel2-pipeline \ --aoi-shapefile path/to/your/aoi.geojson \ --model-files path/to/your/model/checkpoint \ --start-date 2024-07 \ --end-date 2024-09

Contribute

Before contributing please contact one of the authors and make sure to read the Contribution Guidelines.

Owner

  • Name: Permafrost Remote Sensing @ AWI
  • Login: awi-response
  • Kind: organization
  • Location: Potsdam

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: DARTS-nextgen
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Ingmar
    family-names: Nitze
    email: ingmar.nitze@awi.de
    affiliation: Alfred Wegener Institute for Polar and Marine Research
    orcid: 'https://orcid.org/0000-0002-1165-6852'
  - given-names: Konrad
    family-names: Heidler
    affiliation: Technical University Munich
    orcid: 'https://orcid.org/0000-0001-8226-0727'
  - given-names: Jonas
    family-names: Küpper
    orcid: 'https://orcid.org/0000-0001-6728-7411'
    affiliation: Alfred Wegener Institute for Polar and Marine Research
    email: jonas.kuepper@awi.de
  - given-names: Tobias
    family-names: Hölzer
    email: tobias.hoelzer@awi.de
    affiliation: Alfred Wegener Institute for Polar and Marine Research
    orcid: 'https://orcid.org/0009-0005-9058-0882'
identifiers:
  - type: url
    value: 'https://github.com/awi-response/darts-nextgen'
  - type: doi
    value: 10.5281/zenodo.15261545
repository-code: 'https://github.com/awi-response/darts-nextgen'
url: 'https://awi-response.github.io/darts-nextgen/'
abstract: >-
  Panarctic Database of Active Layer Detachment Slides and
  Retrogressive Thaw Slumps from Deep Learning on High
  Resolution Satellite Imagery. This is te successor of the
  thaw-slump-segmentation (pipeline), with which the first
  version of the DARTS dataset was created.
keywords:
  - deep learning
  - segmentation
  - permafrost
  - retrogressive thaw slumps
  - geospatial
license: MIT

GitHub Events

Total
  • Fork event: 1
  • Create event: 37
  • Commit comment event: 1
  • Release event: 10
  • Issues event: 173
  • Watch event: 3
  • Delete event: 16
  • Member event: 2
  • Issue comment event: 33
  • Push event: 303
  • Pull request review comment event: 8
  • Pull request review event: 6
  • Pull request event: 35
Last Year
  • Fork event: 1
  • Create event: 37
  • Commit comment event: 1
  • Release event: 10
  • Issues event: 173
  • Watch event: 3
  • Delete event: 16
  • Member event: 2
  • Issue comment event: 33
  • Push event: 303
  • Pull request review comment event: 8
  • Pull request review event: 6
  • Pull request event: 35

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 44
  • Total pull requests: 15
  • Average time to close issues: about 2 months
  • Average time to close pull requests: about 16 hours
  • Total issue authors: 4
  • Total pull request authors: 3
  • Average comments per issue: 0.27
  • Average comments per pull request: 0.0
  • Merged pull requests: 9
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 44
  • Pull requests: 15
  • Average time to close issues: about 2 months
  • Average time to close pull requests: about 16 hours
  • Issue authors: 4
  • Pull request authors: 3
  • Average comments per issue: 0.27
  • Average comments per pull request: 0.0
  • Merged pull requests: 9
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • relativityhd (82)
  • tcnichol (10)
  • iona5 (10)
  • initze (9)
Pull Request Authors
  • relativityhd (13)
  • iona5 (6)
  • initze (4)
  • tcnichol (1)
Top Labels
Issue Labels
enhancement (42) bug (16) training (10) documentation (5) data (5) feature-engineering (5) question (2)
Pull Request Labels
enhancement (3)

Dependencies

.github/workflows/ruff.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
.github/workflows/update_version.yml actions
  • actions/cache v4 composite
  • actions/checkout v2 composite
  • actions/create-release v1 composite
  • actions/setup-python v5 composite
  • eifinger/setup-rye v4 composite
darts-acquisition/pyproject.toml pypi
  • h5netcdf >=1.3.0
  • numpy >=1.26.3, <2
  • rasterio >=1.4.0
  • rioxarray >=0.17.0
  • xarray >=2024.9.0
darts-ensemble/pyproject.toml pypi
  • h5netcdf >=1.3.0
  • lovely-tensors >=0.1.17
  • numpy >=1.26.3, <2
  • xarray >=2024.9.0
darts-export/pyproject.toml pypi
  • geopandas >=1.0.1
  • h5netcdf >=1.3.0
  • numpy >=1.26.3, <2
  • rasterio >=1.4.0
  • rioxarray >=0.17.0
  • xarray >=2024.9.0
darts-postprocessing/pyproject.toml pypi
  • numpy >=1.26.3, <2
  • xarray >=2024.9.0
darts-preprocessing/pyproject.toml pypi
  • h5netcdf >=1.3.0
  • numpy >=1.26.3, <2
  • scipy >=1.14.1
  • xarray >=2024.9.0
darts-segmentation/pyproject.toml pypi
  • h5netcdf >=1.3.0
  • numpy >=1.26.3, <2
  • segmentation-models-pytorch >=0.3.4
  • xarray >=2024.9.0
darts-superresolution/pyproject.toml pypi
  • h5netcdf >=1.3.0
  • numpy >=1.26.3, <2
  • xarray >=2024.9.0
pyproject.toml pypi
  • segmentation-models-pytorch >=0.3.4