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### Overview The SACHI (Sentinel-1/2 derived Arctic Coastal Human Impact) dataset has been developed as part of the HORIZON2020 project Nunataryuk by b.geos (www.bgeos.com). V1 covered a 100km buffer from the Arctic Coast (land area), for areas with permafrost near the coast. V2 covers additional selected areas extending the coverage to the south. It is based on Sentinel-1 and Sentinel-2 data from 2016-2020 using the algorithms described in Bartsch et al. (2020). It is a supplement to Bartsch et al. (2023). This dataset contains detected coastal infrastructure separated into seven different categories: linear transport infrastructure (asphalt), linear transport infrastructure (gravel), linear transport infrastructure (undefined), buildings (and other constructions such as bridges), other impacted area (includes gravel pads, mining sites), airstrip, and reservoir or other water body impacted by human activities. This SACHI version 2 dataset was post-processed by the Permafrost Discovery Gateway visualization pipeline. This workflow cleaned, standardized, and visualized the data as two Tile Matrix Sets per year. One Tile Matrix Set is the data in the form of GeoPackages, or staged tiles, and the other Tile Matrix Set is the staged tiles in the form of GeoTIFF tiles. The highest resolution tiles were resampled to produce GeoTIFFs for lower resolutions. This data is visualized on the Permafrost Discovery Gateway portal: https://arcticdata.io/catalog/portals/permafrost/Imagery-Viewer ### References Bartsch, A., Widhalm, B., von Baeckmann, C., Efimova, A., Tanguy, R., and Pointner, G. (2023). Sentinel-1/2 derived Arctic Coastal Human Impact dataset (SACHI) (v2.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10160636 Bartsch, A., G. Pointner, I. Nitze, A. Efimova, D. Jakober, S. Ley, E. Högström, G. Grosse, P. Schweitzer (2021): Expanding infrastructure and growing anthropogenic impacts along Arctic coasts. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ac317 Bartsch, A., Pointner, G., Ingeman-Nielsen, T. and Lu, W. (2020), ‘Towards circumpolar mapping of Arctic settlements and infrastructure based on Sentinel-1 and Sentinel-2’, Remote Sensing 12(15), 2368. ### Access Data files output from the visualization workflow are available for download at: [http://arcticdata.io/data/10.18739/A21J97929](http://arcticdata.io/data/10.18739/A21J97929) To download all files in the command line, run the following command in a terminal: `wget -r -np -nH --cut-dirs=3 -R '\?C=' -R robots.txt https://arcticdata.io/data/10.18739/A21J97929/` To download a subdirectory of the archived files, add the subdirectories to the end of the URL above.
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National Science Foundation Doctoral Dissertation Research Improvement Grant 2230019, Raw Sedimentary Ancient DNA in Andy Lake, Alaska 2025
### Access Dataset can be accessed and downloaded from the directory via: [http://arcticdata.io/data/10.18739/A2599Z39H](http://arcticdata.io/data/10.18739/A2599Z39H). ### Overview This dataset contains raw sedimentary ancient DNA (sedaDNA) sequence data and associated metadata generated from a 3-meter sediment core collected from Andy Lake, Alaska. The core was obtained during fieldwork supported by the National Science Foundation (NSF) Arctic Doctoral Dissertation Research Improvement Grant #2230019, titled Assessing the impacts of Pleistocene megaherbivores on vegetation stability and resilience in the Arctic, awarded to Principal Investigator (PI) Jacquelyn L. Gill and Co-PI Alessandro Mereghetti. The primary objective of this project is to investigate how Pleistocene megafaunal diversity influenced long-term plant community dynamics and ecosystem resilience in Arctic environments. These data contribute to understanding ecological baselines and biotic responses to past climate and extinction events, with implications for modern conservation and rewilding strategies.
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- Award ID(s):
- 2230019
- PAR ID:
- 10597622
- Publisher / Repository:
- NSF Arctic Data Center
- Date Published:
- Subject(s) / Keyword(s):
- Paleoecology Sedimentary Ancient DNA (sedaDNA)
- Format(s):
- Medium: X Other: text/xml
- Location:
- Kiana, Alaska, United States
- Institution:
- University of Maine
- Sponsoring Org:
- National Science Foundation
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