..
    This file is part of Python smosaic package.
    Copyright (C) 2025 INPE.

    This program is free software: you can redistribute it and/or modify
    it under the terms of the GNU General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.

    This program is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
    GNU General Public License for more details.

    You should have received a copy of the GNU General Public License
    along with this program. If not, see <https://www.gnu.org/licenses/gpl-3.0.html>.


Changes
=======

0.8.0 (2026-07-25)
------------------
* **Microsoft Planetary Computer Integration**: Added full support for Sentinel-2 data hosted on the Microsoft Planetary Computer STAC API.  🛰️
* **Digital Earth Africa Integration**: Introduced direct compatibility with Digital Earth Africa STAC endpoints to effortlessly query, filter, and download Sentinel-2 imagery.  🛰️
* **Swiss Data Cube Support**: Expanded multi-source STAC capabilities by integrating the Swiss Data Cube catalog, allowing users to build precise Sentinel-2 mosaics utilizing Swiss data cube.  🛰️
* **AWS Open Data Registry**: Implemented comprehensive support for Earth Search (AWS) STAC endpoints to reliably access and process Sentinel-2 Cloud-Optimized GeoTIFFs (COGs) 🛰️
* **New Provider Example Notebooks**:  Added experimental Jupyter notebooks for function demonstrations:
    * ``smosaic-planetary-computer.ipynb``: A comprehensive experiment on generating high-resolution image mosaics utilizing the Microsoft Planetary Computer STAC catalog.
    * ``smosaic-digital-earth-africa.ipynb``: A comprehensive experiment on generating image mosaics using Digital Earth Africa.
    * ``smosaic-swiss-data-cube.ipynb``: An comprehensive experiment demonstrating how to generate image mosaics using the Swiss Data Cube.
    * ``smosaic-aws.ipynb``: A comprehensive experiment on generating image mosaics utilizing the AWS Open Data STAC API endpoints.

0.7.0 (2026-02-03)
------------------

* **Cloud Mask Handling**: Resolved a bug in the ``merge_tifs()`` function to properly handle "No Data" values in the output cloud mask, ensuring seamless mosaic mask generation.
* **Custom Projections**: Added an optional ``projection_output`` parameter, allowing users to define a custom CRS for the output mosaic (defaults to EPSG:4326).
* **Automated Grid Cropping**: Added an optional ``grid_crop`` parameter; when enabled, the final result is automatically clipped to the specific geometry of the input grid tile.
* **Filter_scenes Function**: Redesigned the ``filter_scenes`` function now use the geometry of grid or bbox to filter the downloaded images for scenes that intersect mosaic region.
* **Mosaic Generation Algorithm Refactor**: Completely refactored the ``merge_scene()`` function, implementing a new merging logic based on NumPy arrays and binary mask filling to improve mosaic composition.
* **New Example Notebook**: Added experimental Jupyter notebooks for function demonstrations:
    * ``smosaic-introduction.ipynb``: Example of creating RGB mosaics  on the BDC_SM_V2 grid for a tile in Mato Grosso state
* **Documentation**: Added comprehensive Sphinx documentation with API reference for all functions, usage examples, and detailed parameter descriptions.
* **Command Line Interface**: Added a CLI (Command Line Interface) using Click framework, providing command-line access to mosaic generation with configurable options.

0.6.0 (2025-12-22)
------------------

* **Standardized Output Resolution**: Added new ``reproject_tif()`` function that ensures all output mosaics maintain consistent 10,-10 pixel size
* **Projection Consistency**: All output mosaics now maintain uniform spatial reference system using the standardized Albers projection
* **Sentinel-2 Baseline Correction Refactor**: Redesigned the baseline correction function to properly handle Sentinel-2 processing baseline numbers
* **Enhanced Output Bands Refactor**: Completely redesigned mosaic outputs to include provenance and cloud bands by default alongside requested spectral bands
* **Mosaic Profiles**: Added ``profile`` parameter to mosaic function, providing pre-configured band selections instead of manually selecting bands. Currently supports two profiles:
    * ``urban_analysis``: Pre-selects RGB (``Red``, ``Green``, ``Blue``) bands along with ``NDVI`` and ``NDBI`` indices
    * ``crop_condition``: Pre-selects four vegetation indices: ``NDVI``, ``EVI``, ``EVI2``, and ``SAVI``
* **Spectral Indices Calculation**: Added ``smosaic_spectral_indices()`` function to generate spectral indices mosaics, currently supporting five indices:
    * ``ndvi``: Normalized Difference Vegetation Index
    * ``evi``: Enhanced Vegetation Index
    * ``evi2``: Two-band Enhanced Vegetation Index
    * ``savi``: Soil-Adjusted Vegetation Index
    * ``ndbi``: Normalized Difference Built-up Index
* **New Example Notebooks**: Added experimental Jupyter notebooks for article demonstrations:
    * ``smosaic-introduction.ipynb``: Example of creating RGB mosaics for a scene in Pará state
    * ``smosaic-bdc-favelas-sp.ipynb``: Experiment on generating image mosaics for monitoring favelas in São Paulo state
    * ``smosaic-agricultural-monitoring-pr.ipynb``: Experiment on generating image mosaics for agricultural monitoring in Paraná state
* **Sentinel-2/MSI Level-1C**: Added full support for S2_L1C_BUNDLE-1 data.  🛰️
* **Fmask external cloud support**: Added support for Fmask (algorithm for detecting clouds and cloud shadows).

0.5.0 (2025-11-17)
------------------

* **Notebook to Script Migration**: Replaced Jupyter notebooks with Python script examples:
    * ``smosaic-closest-to-date.py``: Example of creating mosaics using closest-to-date selection
    * ``smosaic-data-cube.py``: Example of generating temporal data cubes
    * ``smosaic-mosaic.py``: General mosaic generation example
* **New Provenance Band**: Added automatic generation of provenance band indicating the origin date of each selected best pixel in the composition
* **Cloud Band Support**: Added automatic cloud band generation alongside user-requested bands
* **File Integrity Verification**: Added automatic TIFF file corruption check in ``download_stream()`` function
* **Sentinel-2 Baseline Correction**: Added new function to correct images based on Sentinel-2 processing baseline number
* **Mosaic Algorithm Refactor**: Completely redesigned ``merge_scene()`` function with improved best-pixel mosaic generation
* **Conda Environment Guide**: Added ``conda-environment.md`` documentation for creating Conda environments to install and run the library
* **Enhanced Output Bands**: All mosaic outputs now include provenance and cloud bands by default alongside requested spectral bands
* **Progress Tracking**: Enhanced library logging output with detailed progress tracking, displaying percentage completion per scene and band during mosaic generation

0.4.0 (2025-11-10)
------------------
* **New Mosaic Build Methods**: Added two new scene ordering functions for mosaic generation:
    * ``ctd`` (Closest to Date): Build mosaics by selecting images closest to a reference date
    * ``chrono`` (Chronological): Build mosaics by ordering scenes by acquisition date
* **Enhanced Mosaic Function**: The ``mosaic()`` function now supports three build methods:
    * ``lcf``: Least cloud cover first (existing)
    * ``ctd``: Closest to reference date (new)
    * ``chrono``: Chronological order (new)
* **New Utility Function**: Added ``days_between_dates()`` function in utils module for date interval calculations
* **New Notebook**: Added example notebook:
    * ``smosaic-closest-to-date.ipynb``: A complete example of creating Sentinel-2 image mosaic by selecting images closest to a reference date

0.3.0 (2025-10-31)
------------------

* **Architectural Refactor**: Split single file `smosaic_core.py` into modular package structure with specialized modules.
* **Breaking Changes**: 
    * All functions now distributed across dedicated modules (smosaic_clip_raster, smosaic_merge_scene, etc.)
    * Update imports to reference new modules (e.g., `from smosaic_clip_raster import clip_raster`)
* **Enhanced Mosaic Function**: Added support for monthly periods, with proper date handling.
* **New Notebook**: Added example notebook:
    * ``smosaic-monitoring-expansion-favelas-sp.ipynb``: A complete example of creating monthly Sentinel-2 image mosaics for monitoring the expansion of favelas in São Paulo.

0.2.5 (2025-10-18)
------------------

* **Fix**: Resolved an import error with `numpy`, `pyproj`, `shapely`, `requests`, `rasterio` and `pystac-client` modules.

0.2.2 (2025-10-15)
------------------

* **Fix**: Fixed a bug in the ``mosaic`` function, now it generates both single-date mosaics and data cubes correctly.

0.2.0 (2025-10-10)
------------------

* **Multi-band Support**: It is now possible to create an mosaic with more than one band.
* **Refactored Library Code**: Adjusted imports and the use of libraries in the code, removing imports of individual functions.
* **New Notebooks**: Added several example notebooks:
    * ``smosaic-introduction.ipynb``: A complete example of creating a Sentinel-2 multi-band mosaic for Luis Eduardo Magalhaes - BA.
    * ``smosaic-data-cube.ipynb``: A complete example of creating a Sentinel-2 10 days data cube for a given bbox.
* **Data Cube Support**:  Added support for data cube generation using ``end_year``, ``end_month``, ``end_day`` and ``duration_days`` parameters.
* **Refactor filter_scenes Function**: Completely refactored ``filter_scenes`` function now use the grid geometry instead of the colleciton.json file.
* **Implemented parallel processing**: to significantly speed up mosaic generation by processing multiple time steps concurrently.✨

0.0.1 (2025-06-04)
--------------------------

* **Initial Release**: First implementation of ``mosaic`` function, with ``collection_get_data``, ``get_dataset_extents``, ``merge_tifs`` and ``clip_raster`` functions.
* Completed the smosaic exemple notebook.
* **Sentinel 2**: Added full support for Sentinel 2 data.  🛰️
* **COG Support**: Added output as Cloud Optimized GeoTIFFs (COGs) with RasterIO.

