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1. OmniCloudMask OmniCloudMask Public

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

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2. Building-Regulariser Building-Regulariser Public

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

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3. MultiClean MultiClean Public

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

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4. CloudS2Mask CloudS2Mask Public

   CloudS2Mask is a Sentinel 2 L1C cloud and cloud shadow masking library

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5. S2Mosaic S2Mosaic Public

   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.

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6. OmniWaterMask OmniWaterMask Public

   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.

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