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7 changes: 5 additions & 2 deletions README.md
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Expand Up @@ -23,6 +23,9 @@ This __harmonisation__ process increases the theoretical number of acquisitions
Regardless Missions, Product Type, __Gridded__ data are delivered, the S2 tiling system is based on
the Military Grid Reference System (MGRS).

Since __Sen2Like 4.3.0__, in addition to Sentinel-2 and Landsat missions, there have been an effort to integrate the PRISMA Earth Observation mission, which is a medium-resolution hyperspectral imaging satellite, developed, owned and operated by ASI (Agenzia Spaziale Italiana).
Sen2like software supports the PRISMA L1 products through the usage of a pre-processor named "prisma4sen2like" that transforms PRISMA L1 products into an internal format: Sentinel-2 PRISMA (S2P) L1C products, spectrally aggregated into 13 Sentinel-2 bands and projected into L1C Sentinel-2 geometry (without refinement on Sentinel-2 GRI).

The __processing workflow__ is based on following algorithms:
* Geometric Corrections including registration to common reference & the stitching [4],
* Atmospheric Corrections by using SMAC [5] relying on auxiliary meteorological data,
Expand All @@ -36,7 +39,7 @@ It is therefore possible, to cover large geographic extent with a __seamless ima
It is worth noting that the overall accuracy of your final ARD product strongly depends on the accuracy of sen2like auxiliary data. Two categories of auxiliary data are important: the raster reference for geometric corrections and the meteorological data for atmospheric corrections. Regarding atmospheric corrections, one possibility is to use data from the Copernicus Atmosphere Monitoring Service [9]. The Sen2Like team prepared a dedicated CAMS monthly dataset for the Year 2020, available from [here](http://185.178.85.51/CAMS/). Please refer to this short [description](http://185.178.85.51/CAMS/Readme_CAMS2020.txt) for additional information.

For further details on the format specification of the harmonized products or the functionalities of the Sen2Like software, please
refer to the [Product Format Specification](https://github.com/senbox-org/sen2like/blob/master/sen2like/docs/source/S2-PDGS-MPC-L2HF-PFS-v1.1.pdf), and the [User Manual v1.7](https://github.com/senbox-org/sen2like/blob/master/sen2like/docs/source/S2-SEN2LIKE-UM-V1.7.pdf).
refer to the [Product Format Specification](sen2like/docs/source/S2-PDGS-MPC-L2HF-PFS-v1.1.pdf), and the [User Manual v1.8](sen2like/docs/source/S2-SEN2LIKE-UM-V1.8.pdf).

## Publications and Contacts
**Yearning to know more ? Check out**
Expand All @@ -57,7 +60,7 @@ And the following research papers :
+ [10] Saunier, S.; Pflug, B.; Lobos, I.M.; Franch, B.; Louis, J.; De Los Reyes, R.; Debaecker, V.; Cadau, E.G.; Boccia, V.; Gascon, F.; Kocaman, S. Sen2Like: Paving the Way towards Harmonization and Fusion of Optical Data. Remote Sens. 2022, 14, 3855. (https://doi.org/10.3390/rs14163855)


**Learn how to use Sen2Like**, have a look at the [User Manual](https://github.com/senbox-org/sen2like/blob/master/sen2like/docs/source/S2-SEN2LIKE-UM-V1.7.pdf).
**Learn how to use Sen2Like**, have a look at the [User Manual](sen2like/docs/source/S2-SEN2LIKE-UM-V1.8.pdf).

**Get help**, contact us at sen2like@telespazio.com.

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**/__pycache__/
.vscode/
50 changes: 50 additions & 0 deletions prisma4sen2like/.pre-commit-config.yaml
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repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.4.0
hooks:
- id: fix-encoding-pragma
- id: check-docstring-first
- repo: https://github.com/johann-petrak/licenseheaders.git
rev: 'master'
hooks:
- id: licenseheaders
pass_filenames: false # avoid files to be passed to pytest as args
entry: licenseheaders
args: [
"-cy",
"-o", "ESA",
"-n", "Prisma4sen2like",
"-t", "apache-2.tmpl",
"-u", "https://github.com/senbox-org/sen2like/prisma4sen2like",
"-d", "prisma",
"-x", "prisma/sen2like/**/*.*",
"-E", "*.py"
]
require_serial: true
- repo: local
hooks:
- id: env
name: env
entry: python -c 'import os; assert os.environ["CONDA_DEFAULT_ENV"] == "prisma", "Not in prisma conda env"'
language: system
require_serial: true
- id: isort
name: isort
entry: isort --check --profile black .
language: system
types: [python]
require_serial: true
- id: black
name: black
entry: black -l 120 --check .
language: system
types: [python]
require_serial: true
- id: bandit
name: bandit
description: 'Bandit is a tool for finding common security issues in Python code'
entry: bandit .
language: system
types: [python]


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[FORMAT]
max-line-length=120
201 changes: 201 additions & 0 deletions prisma4sen2like/LICENSE.txt
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Apache License
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Copyright 2023 TELESPAZIO France / isl / tim / KLT

Licensed under the Apache License, Version 2.0 (the "License");
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# P4S2L (prisma4sen2like) <!-- omit in toc -->

![License: Apache2](https://img.shields.io/badge/license-Apache%202-blue.svg?&logo=apache)
[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?&logo=pre-commit)](https://github.com/pre-commit/pre-commit)
[![Code style: black](https://img.shields.io/badge/code%20style-black-black.svg?)](https://github.com/psf/black)
[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?&labelColor=ef8336)](https://pycqa.github.io/isort/)

PRISMA 4 Sen2like is a Python application that aims to create Sentinel L1C level like product from PRISMA L1 product.

## Project status <!-- omit in toc -->

**Prototype**

## Table of content <!-- omit in toc -->

- [Installation](#installation)
- [Usage](#usage)
- [Use S2P products withe sen2like](#use-s2p-products-withe-sen2like)
- [Contributing](#contributing)
- [Authors and acknowledgment](#authors-and-acknowledgment)
- [License](#license)

## Installation

You need conda installed. We recommend to use minicoda with python 3.10.

https://docs.conda.io/en/latest/miniconda.html

```console
git clone https://github.com/senbox-org/sen2like.git
cd sen2like/prisma4sen2like
conda env create -f environment.yml
```

You're now ready to use the program.

For contribution, please read [contributing chapter](#contributing)

## Usage

Fist you MUST activate the conda environment:

```console
conda activate prisma
```

Display help:

```console
PYTHONPATH=prisma python prisma/main.py -h
usage: main.py [-h] PRISMA_L1_FILE DESTINATION_FOLDER WORKING_DIR

positional arguments:
PRISMA_L1_FILE Prisma L1 he5 file
DESTINATION_FOLDER Generated S2P destination folder
WORKING_DIR Working directory

options:
-h, --help show this help message and exit
```

Usage example:

```console
PYTHONPATH=prisma python prisma/main.py \
/data/Products/PRISMA/PRS_L1_STD_OFFL_20220714100507_20220714100511_0001.he5 \
/data/Products/S2P \
/data/wd
```

The log file shows the final product path, example:

```
[INFO ] [2023-06-15 07:51:23] product_builder.product_builder - Product available in /data/Products/S2P/S2P_MSIL1C_20220714T100509_N0000_R099_T33TTG_20230615T075030.SAFE
```

## Use S2P products withe sen2like

To process S2P products with sen2like, put them in the Sentinel-2 archive folder of sen2like.

## Contributing

Please install code quality tool and lib:

```bash
conda install -n prisma -c conda-forge --file requirements_dev.txt
pre-commit install && pre-commit install --hook-type pre-push
```

TODO : describe hooks

## Authors and acknowledgment

- Sebastien Saunier
- Jérôme Louis
- Patrice Canonici
- Vincent Debaecker

## License

Apache2

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