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@ -785,6 +785,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
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* [Climata](https://github.com/heigeo/climata) - Python library for loading and iterating over climate and flow time series data (from ACIS/NOAA RCCs, CoCoRaHS, Hydromet/USBR, CNRFC ESP/NWS, SNOTEL/AWDB/NRCS, and NWIS/USGS).
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* [CoastSat](https://github.com/kvos/CoastSat) - CoastSat is an open-source software toolkit written in Python that enables users to obtain time-series of shoreline position at any coastline worldwide from 30+ years (and growing) of publicly available satellite imagery.
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* [cog_validator](https://github.com/rouault/cog_validator) - This is a standalone (Python / Flask) service that allows users to submit GeoTIFF files (preferably by URL) and check their compliance with the Cloud Optimized GeoTIFF (COG) specification.
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* [cubo](https://github.com/davemlz/cubo) - Easily create EO mini cubes from STAC in Python.
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* [CuPy](https://github.com/cupy/cupy) - NumPy-like API accelerated with CUDA.
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* [cuSpatial](https://github.com/rapidsai/cuspatial) - GPU-Accelerated Spatial and Trajectory Data Management and Analytics Library.
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* [dask-geopandas](https://github.com/geopandas/dask-geopandas) - Parallelized GeoPandas with Dask.
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