Metadata-Version: 2.4
Name: wfi2mask
Version: 0.3.0
Summary: Automated water mask detection from WFI images (CBERS-4, CBERS-4A, Amazonia-1) and Sentinel-2 using the Namikawa et al. (2016) Hue algorithm enhanced with NDWI, HAND and NIR filters.
Author-email: Gabriel Lucas <gabriel.lucas.oceano@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/silvaglx/wfi2mask
Project-URL: Documentation, https://wfi2mask.readthedocs.io
Project-URL: Repository, https://github.com/silvaglx/wfi2mask
Keywords: remote-sensing,water-detection,CBERS,Amazonia-1,WFI,Sentinel-2,INPE,water-mask,NDWI,HAND
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: GIS
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.22
Requires-Dist: rasterio>=1.3
Requires-Dist: geopandas>=0.12
Requires-Dist: shapely>=2.0
Requires-Dist: pyproj>=3.4
Requires-Dist: matplotlib>=3.5
Requires-Dist: tqdm>=4.60
Requires-Dist: requests>=2.28
Requires-Dist: cbers4asat>=0.9
Requires-Dist: pystac-client>=0.7
Provides-Extra: dev
Requires-Dist: pytest>=7.0; extra == "dev"
Requires-Dist: build; extra == "dev"
Requires-Dist: twine; extra == "dev"
Provides-Extra: docs
Requires-Dist: sphinx>=7.0; extra == "docs"
Requires-Dist: sphinx-rtd-theme>=2.0; extra == "docs"
Requires-Dist: myst-parser>=2.0; extra == "docs"
Dynamic: license-file

# wfi2mask

**Detecção de corpos de água em imagens WFI dos satélites brasileiros CBERS-4, CBERS-4A e Amazonia-1.**

Como o wfi2mask funciona?

O `wfi2mask` busca imagens no catálogo do INPE, converte para reflectância TOA recortada na área de interesse e gera
máscaras d'água com 4 níveis de confiança, seguindo o algoritmo de **Namikawa et al. (2016)** aprimorado.

> Status: protótipo em desenvolvimento (v0.2.0), já testável.

## Instalação

```bash
pip install wfi2mask
```

ou, para a versão de desenvolvimento:

```bash
pip install git+https://github.com/silvaglx/wfi2mask.git
```

Requisito: conta (e-mail) cadastrada no
[catálogo do INPE](https://www.dgi.inpe.br/catalogo/explore) para o download
das imagens WFI.

## Documentação

https://wfi2mask.readthedocs.io

## Referências

* Namikawa, L.M.; Korting, T.; Castejon, E.F. (2016). *Water Body Extraction
  From RapidEye Images*. RBC 68:1097-1111.
* Yamazaki, D. et al. (2019). *MERIT Hydro: A high-resolution global
  hydrography map*. Water Resources Research 55:5053-5073.
* Pinto, C.T. et al. (2016). *First in-flight radiometric calibration of MUX
  and WFI on-board CBERS-4*. Remote Sensing 8(5):405.
