Sentinel-1/2 derived Arctic Coastal Human Impact dataset (SACHI) ...
The SACHI (Sentinel-1/2 derived Arctic Coastal Human Impact) dataset has been primarily developed as part of the HORIZON2020 project Nunataryuk by b.geos (www.bgeos.com). It covers a 100km buffer from the Arctic Coast (land area), for areas with permafrost near the coast. It is based on Sentinel-1 a...
Main Authors: | , , |
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Format: | Dataset |
Language: | English |
Published: |
Zenodo
2021
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Subjects: | |
Online Access: | https://dx.doi.org/10.5281/zenodo.4925911 https://zenodo.org/doi/10.5281/zenodo.4925911 |
Summary: | The SACHI (Sentinel-1/2 derived Arctic Coastal Human Impact) dataset has been primarily developed as part of the HORIZON2020 project Nunataryuk by b.geos (www.bgeos.com). It covers a 100km buffer from the Arctic Coast (land area), for areas with permafrost near the coast. 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. (2021 - https://iopscience.iop.org/article/10.1088/1748-9326/ac3176/meta). It consists of three shape files: 1) SACHI.shp - all identified objects with infrastructure/impact classes and auxiliary information (permafrost status and trends, nightlight radiance, vegetation zone, Normalized Difference Vegetation Index trends from Landsat, settlements names) 2) SACHI_100km_buffer - Buffer polygon (analyses extent) 3) SACHI_granules_acquisition_dates - processed Sentinel-2 granule extent polygons with dates of all used input data SACHI class values: 1=linear transport infrastructure, ... : Further support was received by ESA CCI+ Permafrost, HGF AI-CORE, and NSF Permafrost DiscoveryGateway. The processing scheme was developed on a highly performant virtual machine (VM) provided by the Copernicus Research and User Support (RUS). Results are based on modified Copernicus data from 2016 to 2020. ... |
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