Museo ToolBox: A Python library for remote sensing including a new way to handle rasters

Museo ToolBox is a Python library dedicated to the processing of georeferenced arrays, also known as rasters or images in remote sensing.In this domain, classifying land cover type is a common and sometimes complex task, regardless of your level of expertise. Recurring procedures such as extracting Regions Of Interest (ROIs, or raster values from a polygon), computing spectral indices or validating a model with a cross-validation can be difficult to implement. Museo ToolBox aims at simplifying the whole process by making the main treatments moreaccessible (extracting of ROIs, fitting a model with cross-validation, computing Normalized Difference Vegetation Index (NDVI) or various spectral indices, performing any kind of array function to the raster, etc). The main objective of this library is to facilitate the transposition of array-like functions into an image and to promote good practices in machine learning. To make Museo ToolBox easier to get started with, a full documentation with lot of examples is available online on read the docs.