SnappyGPT
Python Module that creates and applies graph processing functions for ESAs SNAP graph processing tool (GPT)
Requirements
- SNAP must be installed and snappy configured for your python enviroment
- numpy is requiered for utils.py
Example
from SnappyGPT import utils, GPT
product=utils.read('filename.zip')
preProcessGraph = GPT.Graph()
preProcessGraph.add_calibration(outputImageScaleInDb=True, outputSigmaBand=True)
preProcessGraph.add_thermal_noise_removal()
preProcessGraph.add_topsar_deburst()
processedProduct=preProcessGraph.create_product(product)
Metadata
Release files for snappy-gpt 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| snappy_gpt-0.0.1.tar.gz | 73.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| snappy_gpt-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 148.9 kB
Release files / snappy_gpt-0.0.1.tar.gz
| Download URL | snappy_gpt-0.0.1.tar.gz |
|---|---|
| Size | 73.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/5.1.1 CPython/3.11.5
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Release files / snappy_gpt-0.0.1-py3-none-any.whl
| Download URL | snappy_gpt-0.0.1-py3-none-any.whl |
|---|---|
| Size | 75.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.1.1 CPython/3.11.5
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