Description

**Python geospatial analysis and remote sensing toolkit** Pygaarst is a Python library to simplify the manipulation of remote sensing and other geospatial data. Features include data and metadata access for a number of frequently used freely available satellite remote sensing data such as Landsat TM/ETM+/OLI/TIRS, VIIRS, and MODIS; access and processing of generic raster formats such as GeoTIFF, HDF-EOS, HDF5 and netCDF and combination with vector formats such as ESRI Shapefile and GeoJSON; georeferencing and re-projecting; combining raster and vector datasets; mapping and plotting. Pygaarst relies heavily on numpy for data structures and GDAL for data access and geospatial functionality. The main goal is to provide a friendly API that makes common tasks on widely used data formats easy to accomplish in few lines of code.