This article introduces a multi-temporal and multi-spectral dataset of a mountain basin in the Western United States. Together with its high spatial resolution this data provides a unique basis not only for investigating local processes, but e.g. also for developing and/or validating new approaches using space-borne platforms. The processing steps including data accuracy and potential limitations are well documented.

Publisher’s note: a new supplement was added to this comment on 7 March 2023.

In this contribution a series of seven datasets is presented, collected almost weekly during the 2017 melt season in the Colorado Rockies at around 3,500 m ASL. RGB, NIR and TIR imagery was collected over a 40 ha study site using a custom-built multi-rotor system. All imagery was processed using SfM-photogrammetry to generate corresponding orthorectified mosaics. These are complemented by an NDVI mosaic generated from radiometrically calibrated imagery. Extensive and robust ground control and error handling ensured cm-level georeferencing. The site, data collection and processing, as well as accuracy and challenges are very well described and documented. Overall, the manuscript is clearly structured, succinct and very well written - a joy to read! Figures and Tables are well presented and organised, captions are clearly written and comprehensible.

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