DPIRD-DMA

Python library for high-accuracy water segmentation in satellite and aerial imagery, combining deep learning with NDWI and vector data for robust detection across multiple sensors and resolutions.

A web map showing the location and names of the Sentinel-2 grids

Python package for creating cloud-free mosaics from Sentinel-2 imagery, with flexible scene selection, multiple compositing methods, and state-of-the-art cloud masking via OmniCloudMask.

Python library for morphological cleaning of multiclass 2D numpy arrays (edge smoothing and island removal

A Python package for smoothing and refining geometries derived from raster data classifications. Smoothify transforms jagged polygons and lines resulting from raster-to-vector conversion into smooth, visually appealing features using an optimized implementation of Chaikin's corner-cutting algorithm.

OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.

Python library for cleaning and regularising building footprints in geospatial data, aligning edges to principal directions and simplifying polygons for more accurate analysis.

Fast and lightweight pixel class counting for NumPy arrays, tensors, and GeoTIFF rasters.