A scalable software package for time series reconstruction of remote sensing datasets on the Google Earth Engine platform

Spatiotemporal residual noise in terrestrial earth observation products, often caused by unfavorable atmospheric conditions, impedes their broad applications. Most users prefer to use gap-filled remote sensing products with time series reconstruction (TSR) algorithms. Applying currently available implementations of TSR large-volume datasets is time-consuming and challenging for non-professional limited computation or storage resources. This study introduces a new open-source software package entitled ‘HANTS-GEE’ that implements well-known robust algorithm, i.e. Harmonic ANalysis Time Series (HANTS), on the Google Earth Engine (GEE) platform scalable data. Reconstruction tasks can be conducted user-defined spatiotemporal extents when raw are GEE. According site-based regional-based case evaluation, tool effectively eliminate cloud contamination Compared traditional PC-based HANTS implementation, HANTS-GEE provides quite consistent results most vegetated sites. The provide services accelerated processing speed reduced internet data transmission volume, promoting algorithm usage much broader user communities. To our knowledge, first support full-stack popular open-access satellite sensors platforms.