GeoWombat (v2.1.22): Utilities for geospatial data

GeoWombat is an open source project and Python project that provides utilities to process spatial and time series of raster data at scale. One of the key features of GeoWombat is the on-the-fly handling of multiple raster files. In particular, GeoWombat leverages Rasterio and xarray to transform and align rasters with varying projections and spatial resolutions. It also provides a wide variety of common methods like cloud and STAC reads, co-registration, BRDF correction, mosaicing, deep-learning through PyTorch/Tensorflow/Keras, and Sklearn-base machine learning and prediction. GeoWombat utilizes the task graphs of Dask arrays to simplify parallel computations of one or more raster files of any size.