[general]
name=SDB Production Suite
qgisMinimumVersion=3.22
qgisMaximumVersion=4.99
description=Professional Satellite Derived Bathymetry (SDB) generation tool using Random Forest Regression.
about=The SDB Production Suite provides hydrographic-grade satellite-derived bathymetry mapping tools. It integrates ACOLITE-processed Sentinel-2 multispectral reflectance data with surveyed control soundings to generate MLLW-referenced bathymetric grids. Built under strict open-source governance and human-in-the-loop developer practices. Requires external Python libraries: scikit-learn, joblib, rasterio, and pandas.
version=1.0.2
author=Alvin M. Natividad
email=AlvinMN2022@gmail.com
repository=https://github.com/AlvinMN2024/SDB_Suite
tracker=https://github.com/AlvinMN2024/SDB_Suite/issues
homepage=https://github.com/AlvinMN2024/SDB_Suite
category=Raster
tags=bathymetry, remote sensing, hydrography, sentinel-2, machine learning, SDB, OSGeo
license=GPL-2.0-or-later
icon=icon.png
