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Remote sensing-based permafrost region disturbances: lakes, 1999-2014, Eastern Canada (CA)
The data quantify the abundance and distribution of the permafrost region disturbance (PRD) of lakes and their dynamics, using trend analyses of 30-m-resolution Landsat imagery...
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Remote sensing-based permafrost region disturbances: fire, 1999-2015, Eastern Canada (CA)
The data quantify the abundance and distribution of the permafrost region disturbance (PRD) wildfire, using trend analyses of 30-m-resolution Landsat imagery from 1999-2015 and...
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Remote sensing-based permafrost region disturbances: retrogressive thaw slumps, 1999-2014, Alaska (US)
The data quantify the abundance and distribution of the permafrost region disturbance (PRD) of retrogressive thaw slumps, using trend analyses of 30-m-resolution Landsat imagery...
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Remote sensing-based permafrost region disturbances: lakes, 1999-2014, Alaska (US)
The data quantify the abundance and distribution of the permafrost region disturbance (PRD) of lakes and their dynamics, using trend analyses of 30-m-resolution Landsat imagery...
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Remote sensing-based permafrost region disturbances: fire, 1999-2015, Alaska (US)
The data quantify the abundance and distribution of the permafrost region disturbance (PRD) wildfire, using trend analyses of 30-m-resolution Landsat imagery from 1999-2015 and...
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Remote sensing-based permafrost region disturbances: fire, 1999-2015, Eastern Siberia (RU)
The data quantify the abundance and distribution of the permafrost region disturbance (PRD) wildfire, using trend analyses of 30-m-resolution Landsat imagery from 1999-2015 and...
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Remote sensing-based permafrost region disturbances: lakes, 1999-2014, Eastern Siberia (RU)
The data quantify the abundance and distribution of the permafrost region disturbance (PRD) of lakes and their dynamics, using trend analyses of 30-m-resolution Landsat imagery...
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Remote sensing-based permafrost region disturbances: retrogressive thaw slumps, 1999-2014, Eastern Siberia (RU)
The data quantify the abundance and distribution of the permafrost region disturbance (PRD) of retrogressive thaw slumps, using trend analyses of 30-m-resolution Landsat imagery...
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Remote sensing-based permafrost region disturbances: fire, 1999-2015, Western Siberia (RU)
The data quantify the abundance and distribution of the permafrost region disturbance (PRD) wildfire, using trend analyses of 30-m-resolution Landsat imagery from 1999-2015 and...
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Remote sensing-based permafrost region disturbances: lakes, 1999-2014, Western Siberia (RU)
The data quantify the abundance and distribution of the permafrost region disturbance (PRD) of lakes and their dynamics, using trend analyses of 30-m-resolution Landsat imagery...
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Remote sensing-based permafrost region disturbances: retrogressive thaw slumps, 1999-2014, Western Siberia (RU)
The data quantify the abundance and distribution of the permafrost region disturbance (PRD) of retrogressive thaw slumps, using trend analyses of 30-m-resolution Landsat imagery...
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Satellite Photo Mosaic from Corona-KH4, 1962-06-28, Northern Seward Peninsula, Alaska (US)
This raster dataset is a high-resolution mosaic of 4 Corona-KH4 satellite photos over the northern Seward Peninsula in Northwest Alaska dated to 28 July 1962. The mosaic covers...
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Geomorphological main terraces from Landsat 2000-2001, Lena Delta, Laptev and East Siberian Sea Region (RU)
This data set provides a detailed inventory of lakes in the Lena Delta, northern Siberia, with respect to the lakes' association with one of the three geomorphological main...
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Robust trends of landscape dynamics in the Arctic Lena Delta with temporally dense Landsat time-series stacks
The robust Theil-Sen regression algorithm was used to calculate trend parameters (slope, intercept, confidence intervals) on Landsat time-series stack in the north-east Siberian...
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The Wetland and Wetland CH4 Inter-comparison of Models Project (WETCHIMP) data archive
This archive contains the raw and post-processed model output used in the The Wetland and Wetland CH4 Inter-comparison of Models Project (WETCHIMP). There are top-level...
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Lake Ice Classification from Sentinel-1, 2015-2016, Teshekpuk, Alaska (US)
Weekly lake ice classifications distinguish grounded ice and floating ice in lakes based on Sentinel-1A and Sentinel-1B synthetic aperture radar time-series with a resolution of...
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Vegetation Height from Sentinel-1 and Sentinel-2, Kytalyk, 2016-2018, Central Yakutia (RU)
Vegetation height has been derived from Sentinel-1 satellite data acquired in VV mode with a resolution of 20 m. Vegetation height was estimated using an empirical model on...
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Lake Ice Classification from Sentinel-1, 2016-2017, Central Seward Peninsula, Alaska (US)
Lake ice classifications distinguish grounded ice and floating ice in lakes based on Sentinel-1A and Sentinel-1B synthetic aperture radar time-series with a resolution between...
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Lake Ice Classification from Sentinel-1, 2016-2017, Cape Espenberg Lowland, Alaska (US)
Lake ice classifications distinguish grounded ice and floating ice in lakes based on Sentinel-1A and Sentinel-1B synthetic aperture radar time-series with a resolution between...
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Vegetation Height from Sentinel-1 and Sentinel-2, 2016-2018, Teshekpuk, Arctic Alaska (US)
Vegetation height has been derived from Sentinel-1 satellite data acquired in VV mode with a resolution of 20 m. Vegetation height was estimated using an empirical model on...
