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superlimo

SuperPoint-based Lagrangian Ice MOtion algorithm

Installation

Create environment mamba env create -f environment.yml

Install SuperLIMo pip install superlimo

Usage

  • Edit your config file (see examples/example_config.yml)
  • Download Sentinel-1 SAFE files
  • Run superlimo derive-drift confilg_file.yml S1_FILE_NAME_0.SAFE S1_FILE_NAME_1.SAFE output_dir/output_file.npz
  • Read initial (x0, y0) and final (x1, y1) coordinates of the derived drift vectors from the output. The quality of the vector (maximum cross-correlation) is in the mcc variable.

Metadata

Release files for superlimo 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for superlimo 0.1.1
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superlimo-0.1.1.tar.gz 4.9 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for superlimo 0.1.1
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superlimo-0.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 9.8 MB

Release files / superlimo-0.1.1.tar.gz

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Release files / superlimo-0.1.1-py3-none-any.whl

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0.1.1 This release

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0.1.0

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