SnowMapPy: An automated GEE Python tool for snow cover mapping and monitoring in the Moroccan Atlas Mountains

Abstract

SnowMapPy is an open-source Python-based package developed to streamline the collection, processing, and analysis of MODIS snow cover data from Terra and Aqua satellites. By automating essential steps, including data clipping, reprojection, filtering, and time series generation, SnowMapPy significantly enhances the efficiency and precision of snow hydrology research. The package allows users to collect and process data directly from Google Earth Engine, enabling efficient data acquisition and processing tailored to the needs of snow hydrology, water resource management, and climate change studies. Designed for accessibility and flexibility, SnowMapPy supports large-scale, high-resolution snow cover analysis with minimal configuration. Through its modular structure, the package facilitates customized workflows, making it a valuable tool for researchers aiming to understand snow dynamics and its impact on seasonal water resources. The first application of SnowMapPy was in the Moroccan Atlas Mountains, where snowmelt is essential for water resources. The tool effectively captures spatial and temporal snow cover variations, offering valuable insights for water management and climate impact assessments. This initial implementation highlights its potential for broader application in other snow-covered regions worldwide.