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Remote sensing-based permafrost region disturbances: fire, 1999-2015, Eastern...
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... -
Remote sensing-based permafrost region disturbances: lakes, 1999-2014, Easter...
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... -
Remote sensing-based permafrost region disturbances: retrogressive thaw slump...
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... -
Trend analysis of lake dynamics from Landsat time-series 1999-2014, Kolyma Lo...
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... -
Trend analysis of lake dynamics from Landsat time-series 1999-2014, Kobuk-Sel...
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... -
Remote sensing-based permafrost region disturbances: retrogressive thaw slump...
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... -
Robust trends of landscape dynamics in the Arctic Lena Delta with temporally ...
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... -
Trend analysis of lake dynamics from Landsat time-series 1999-2014, Alaska No...
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... -
Remote sensing-based permafrost region disturbances: lakes, 1999-2014, Easter...
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... -
Remote sensing-based permafrost region disturbances: lakes, 1999-2014, Wester...
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... -
Remote sensing-based permafrost region disturbances: fire, 1999-2015, Western...
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... -
Remote sensing-based permafrost region disturbances: retrogressive thaw slump...
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... -
Remote sensing-based permafrost region disturbances: fire, 1999-2015, Eastern...
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... -
Trend analysis of lake dynamics from Landsat time-series 1999-2014, Central Y...
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... -
Remote sensing-based permafrost region disturbances: fire, 1999-2015, Alaska ...
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... -
Remote sensing-based permafrost region disturbances: lakes, 1999-2014, Alaska...
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...