-
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 object-...
-
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 object-...
-
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 object-...
-
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 object-...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
Du kan också komma åt katalogen via API (se API-dokumentation).