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Trend analysis of lake dynamics from Landsat time-series 1999-2014, Alaska North Slope, Alaska (US)
The dataset was created with a methodology based on machine-learning based classification of robust trends of multi-spectral indices of Landsat data (TM,ETM+, OLI) and...
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Trend analysis of lake dynamics from Landsat time-series 1999-2014, Kolyma Lowland, Siberia (RU)
The dataset was created with a methodology based on machine-learning based classification of robust trends of multi-spectral indices of Landsat data (TM,ETM+, OLI) and...
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Trend analysis of lake dynamics from Landsat time-series 1999-2014, Central Yakutia, Siberia (RU)
The dataset was created with a methodology based on machine-learning based classification of robust trends of multi-spectral indices of Landsat data (TM,ETM+, OLI) and...
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Trend analysis of lake dynamics from Landsat time-series 1999-2014, Kobuk-Selawik-Lowlands, Alaska (US)
The dataset was created with a methodology based on machine-learning based classification of robust trends of multi-spectral indices of Landsat data (TM,ETM+, OLI) and...
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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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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...
