the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Weekly High Resolution Multispectral and Thermal UAS Mapping of an Alpine Catchment During Summer Snowmelt, Niwot Ridge, Colorado
Noah Paul Molotch
Abstract. Alpine ecosystems are experiencing rapid change, as a result of warming temperatures and changes in the quantity, timing and phase of precipitation. This in turn impacts patterns and processes of ecohydrologic connectivity, vegetation productivity, and water provision to downstream regions. The fine scale heterogeneous nature of these environments makes them challenging areas to measure with traditional instrumentation, and spatiotemporally coarse satellite imagery. This paper describes the data collection, processing, accuracy assessment, and availability, of a series of ~weekly interval unmanned aerial system (UAS) surveys, flown over the Niwot Ridge Long Term Ecological Research site during the 2017 summer snowmelt season. Visible, near infrared, and thermal infrared imagery were collected. Our unique series of 5–25 cm multispectral and thermal orthomosaics provide a unique snapshot of seasonal transitions in a high alpine catchment. Weekly radiometrically calibrated Normalized Difference Vegetation Index imagery can be used to track vegetation productivity at the pixel scale through time. Thermal imagery can be used to map the movement of snow melt across and within the near subsurface, as well as identify locations where groundwater is discharging to the surface. A 10 cm digital surface model and dense point cloud are also provided for topographic analysis of the snow free surface. Data summaries, citations, and DOIs are provided in the Data Availability section. These datasets augment ongoing data collection within this heavily studied and important alpine site, and are made publicly available to facilitate wider use by the research community.
Oliver Wigmore and Noah Paul Molotch
Status: closed
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RC1: 'Comment on essd-2022-357', Paul Schattan, 16 Jan 2023
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.
Citation: https://doi.org/10.5194/essd-2022-357-RC1 -
AC1: 'Reply on RC1', Oliver Wigmore, 17 Feb 2023
We thank the reviewer Paul Schattan for reading and commenting on the manuscript. We are glad that the uniqueness of the dataset and its potential use were recognised, and the comments re documentation of our work-flow are appreciated. For a revised manuscript we will complete a thorough edit for clarity and typos to identify any issues that may have been missed.
Citation: https://doi.org/10.5194/essd-2022-357-AC1
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AC1: 'Reply on RC1', Oliver Wigmore, 17 Feb 2023
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RC2: 'Comment on essd-2022-357', Marc Adams, 20 Jan 2023
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.
For specific and technical comments, please refer to the attached PDF.
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AC2: 'Reply on RC2', Oliver Wigmore, 17 Feb 2023
We would like to thank the reviewer Marc Adams for his comments and detailed review of the manuscript. We have included responses to the specific comments raised in italics below each bullet point in the attached pdf. Furthermore, we will complete a thorough edit for clarity and typos to identify any issues that may have been missed.
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AC2: 'Reply on RC2', Oliver Wigmore, 17 Feb 2023
Status: closed
-
RC1: 'Comment on essd-2022-357', Paul Schattan, 16 Jan 2023
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.
Citation: https://doi.org/10.5194/essd-2022-357-RC1 -
AC1: 'Reply on RC1', Oliver Wigmore, 17 Feb 2023
We thank the reviewer Paul Schattan for reading and commenting on the manuscript. We are glad that the uniqueness of the dataset and its potential use were recognised, and the comments re documentation of our work-flow are appreciated. For a revised manuscript we will complete a thorough edit for clarity and typos to identify any issues that may have been missed.
Citation: https://doi.org/10.5194/essd-2022-357-AC1
-
AC1: 'Reply on RC1', Oliver Wigmore, 17 Feb 2023
-
RC2: 'Comment on essd-2022-357', Marc Adams, 20 Jan 2023
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.
For specific and technical comments, please refer to the attached PDF.
-
AC2: 'Reply on RC2', Oliver Wigmore, 17 Feb 2023
We would like to thank the reviewer Marc Adams for his comments and detailed review of the manuscript. We have included responses to the specific comments raised in italics below each bullet point in the attached pdf. Furthermore, we will complete a thorough edit for clarity and typos to identify any issues that may have been missed.
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AC2: 'Reply on RC2', Oliver Wigmore, 17 Feb 2023
Oliver Wigmore and Noah Paul Molotch
Data sets
Uncalibrated RGB orthomosaic imagery from UAV campaign at Niwot Ridge, 2017. ver 1 Wigmore, O. https://doi.org/10.6073/pasta/073a5a67ddba08ba3a24fe85c5154da7
Calibrated red/near infrared orthomosaic imagery from UAV campaign at Niwot Ridge, 2017. ver 1 Wigmore, O. https://doi.org/10.6073/pasta/dadd5c2e4a65c781c2371643f7ff9dc4
5cm multispectral imagery from UAV campaign at Niwot Ridge, 2017 ver 1 Wigmore, O. and Niwot Ridge LTER https://doi.org/10.6073/pasta/a4f57c82ad274aa2640e0a79649290ca
25cm NDVI data from UAV campaign at Niwot Ridge Saddle Catchment, 2017 ver 1 Wigmore, O. and Niwot Ridge LTER https://doi.org/10.6073/pasta/444a7923deebc4b660436e76ffa3130c
Surface temperature mapped from thermal infrared survey from UAV campaign at Niwot Ridge, 2017. ver 2 Wigmore, O. and Niwot Ridge LTER https://doi.org/10.6073/pasta/70518d55a8d6ec95f04f2d8a0920b7b8
Photogrammetric point cloud and DSM from UAV campaign at Niwot Ridge, 2017. ver 2. Wigmore, O. and Niwot Ridge LTER https://doi.org/10.6073/pasta/1289b3b41a46284d2a1c42f1b08b3807
Video supplement
Drones over Niwot Oliver Wigmore https://youtu.be/5FxboPSCbW4
Video abstract
Drones over Niwot Oliver Wigmore https://youtu.be/5FxboPSCbW4
Oliver Wigmore and Noah Paul Molotch
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