Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/agrouaze/sar_hs_nn
prediction of Hs from SAR Sentinel-1 WV images
https://github.com/agrouaze/sar_hs_nn
Last synced: 6 days ago
JSON representation
prediction of Hs from SAR Sentinel-1 WV images
- Host: GitHub
- URL: https://github.com/agrouaze/sar_hs_nn
- Owner: agrouaze
- License: mit
- Created: 2021-01-15T11:08:32.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2024-02-08T14:36:05.000Z (9 months ago)
- Last Synced: 2024-02-08T17:02:50.624Z (9 months ago)
- Language: Python
- Size: 2.25 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Changelog: ChangeLog
- License: LICENSE
Awesome Lists containing this project
README
# sar_hs_nn
With this python library you can:
1) predict Hs and Hs_std from SAR Sentinel-1 mission in WV.
2) compute the 20 C-WAVE params.
3) generate netCDF file in the CCI Sea state official format.
Based on Quach 2020 model: https://authors.library.caltech.edu/104562/1/09143500.pdf
Ifremer implementation 2021.
Used to produce CCI SeaState SAR product.
`sarhs` lib is a copy paste from https://github.com/hawaii-ai/SAR-Wave-Height .
# Installation of the lib in a conda environement
1) install conda
```bash
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
bash Miniconda3-latest-Linux-x86_64.sh
```
2) create a conda env
```
conda create -n sarhs python=3.7.8
conda activate sarhs
```
3) clone the git repository.
```bash
git clone https://github.com/grouny/sar_hs_nn.git
cd sar_hs_nn
```
4) install the `sarhspredictor` and its dependencies
```bash
python setup.py install
```
if the previous command failed try to run the command in error by yourself. It should looks like:
```bash
../bin/python3.7 -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'../sar_hs_nn/setup.py'"'"'; __file__='"'"'../sar_hs_nn/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' develop --no-deps
```
5) check installation
```python
import sarhspredictor
```
6) edit the `sarhspredictor/config.py` file
In this file you can set the path of the different models .h5
# usage
to predict a Hs from WV Sentinel-1 SAR Level-2 product, follow this [python notebook demo](https://github.com/grouny/sar_hs_nn/blob/main/sarhspredictor/examples/predict_Hs_using_quach2020_model_from_S1_WV_OCN_files.ipynb):
to prepare the training dataset using the colocations files bteween S-1 and altimeters:
```bash
python sarhspreidctor/bin/rebuild_training_dataset.py --input /home/cercache/users/jstopa/sar/empHs/cwaveV4/S1A_ALT_coloc201501S.nc
```
to create a netCDF file containing the predictions starting from the reference inputs (J. Stopa nc file):
```bash
python sarhspredictor/bin/predict_with_quach2020_from_ref_input_using_keras.py --modelversion heteroskedastic_2017.h5
```
to create a netCDF file containing the predictions starting from ESA S-1 Level-2 WV:
```bash
python sarhspredictor/bin/predict_and_save_nc_from_OCN_using_keras_based_on_ref_listing_files.py --modelversion heteroskedastic_2017.h5
```
to create a netCDF file in CCI sea state format containing the Hs predicted from WV OCN files:
```bash
usage: generate_cci_sea_state_daily_nc_file.py [-h] [--verbose]
[--outputdir OUTPUTDIR]
--startdate STARTDATE
--stopdate STOPDATE --sat SAT
--wv WV [--redo]
--cwave-version CWAVE_VERSION
[--dev]
hs_sar_product
optional arguments:
-h, --help show this help message and exit
--verbose
--outputdir OUTPUTDIR
folder where the data will be written [optional]
--startdate STARTDATE
YYYYMMDD
--stopdate STOPDATE YYYYMMDD
--sat SAT S1A or S1B...
--wv WV wv1 or wv2...
--redo redo existing files nc
--cwave-version CWAVE_VERSION
example v1.2
--dev dev/test mode only 2 wv measu treated in a day
```