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 themccvariable.
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)
| File | Size | Uploaded | |
|---|---|---|---|
| superlimo-0.1.1.tar.gz | 4.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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
| Download URL | superlimo-0.1.1.tar.gz |
|---|---|
| Size | 4.9 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ba29566b77bf78650c89102259f5ec85d459cbc723266b49aa60ea200e61d1f0
|
|
BLAKE2b-256 checksum How to use checksums |
4d3ceca3b8ed5331bf4dd25fb0294c4f41067d1e4313b566760c1e0fa7fd8c31
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.8
|
Release files / superlimo-0.1.1-py3-none-any.whl
| Download URL | superlimo-0.1.1-py3-none-any.whl |
|---|---|
| Size | 4.9 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
af6ece8d81af54861eea80363c42bafd008787959b9d8ee181e55d10086504bf
|
|
BLAKE2b-256 checksum How to use checksums |
6110e00679edc16d043128abf1d33f134622c054ba31972860d031d2b654f3c6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.8
|