Probabilistic estimates of the distribution of near-surface (within 1m) permafrost in Alaska.
This medium resolution (i.e. 30-m pixels) spatial dataset provides an estimate of the occurrence of near-surface (within 1 m of the ground surface) permafrost in Alaska. The dataset was developed using a decision-tree model that statistically and spatially extended late-season field observations (n...
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USGS Science Data Catalog
2015
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dataone:44180560-0844-438a-bb18-adae613e191d 2024-06-03T18:46:56+00:00 Probabilistic estimates of the distribution of near-surface (within 1m) permafrost in Alaska. Neal J. Pastick Bruce K. Wylie M. Torre Jorgenson Shawn J. Nield Kristofer D. Johnson Andrew O. Finley ENVELOPE(-173.5799,-117.45158,71.354904,52.40433) BEGINDATE: 2001-01-01T00:00:00Z ENDDATE: 2010-01-01T00:00:00Z 2015-07-31T00:00:00Z https://search.dataone.org/view/44180560-0844-438a-bb18-adae613e191d unknown USGS Science Data Catalog Permafrost Spatial Modeling Pedometrics Remote Sensing Alaska Dataset 2015 dataone:urn:node:USGS_SDC 2024-06-03T18:09:01Z This medium resolution (i.e. 30-m pixels) spatial dataset provides an estimate of the occurrence of near-surface (within 1 m of the ground surface) permafrost in Alaska. The dataset was developed using a decision-tree model that statistically and spatially extended late-season field observations (n ~ 17,000) using remotely sensed imagery, climatic data, and thematic maps of a wide range of surface and subsurface biophysical characteristics. To circumvent the use of seasonal frost observations, only thaw-depth measurements taken during late-season months (late July to mid-September) or measurements designated to have no near-surface (within 1m) permafrost were used for model calibration and validation. Individual pixel values represent the probability of encountering near-surface permafrost (i.e. 0 to 100 %), as derived from a tree ensemble model, and pixel values greater than 100 correspond to masked land cover types (i.e. 101 = open water; 102 = perennial ice/snow; 103 = developed; 104 = barren, and; 105 = cultivated areas) as defined by the 2001 National Land Cover Database. Decision tree models and resultant maps were tested using independent field observations and f-fold cross validations, which indicated that the map product has an overall accuracy of approximately 85 % when using a probability threshold of 50 % (i.e. less than 50 % = near-surface permafrost absent; greater than or equal to 50 % = near-surface permafrost present). Dataset Ice permafrost Alaska USGS Science Data Catalog (via DataONE) ENVELOPE(-173.5799,-117.45158,71.354904,52.40433) |
institution |
Open Polar |
collection |
USGS Science Data Catalog (via DataONE) |
op_collection_id |
dataone:urn:node:USGS_SDC |
language |
unknown |
topic |
Permafrost Spatial Modeling Pedometrics Remote Sensing Alaska |
spellingShingle |
Permafrost Spatial Modeling Pedometrics Remote Sensing Alaska Neal J. Pastick Bruce K. Wylie M. Torre Jorgenson Shawn J. Nield Kristofer D. Johnson Andrew O. Finley Probabilistic estimates of the distribution of near-surface (within 1m) permafrost in Alaska. |
topic_facet |
Permafrost Spatial Modeling Pedometrics Remote Sensing Alaska |
description |
This medium resolution (i.e. 30-m pixels) spatial dataset provides an estimate of the occurrence of near-surface (within 1 m of the ground surface) permafrost in Alaska. The dataset was developed using a decision-tree model that statistically and spatially extended late-season field observations (n ~ 17,000) using remotely sensed imagery, climatic data, and thematic maps of a wide range of surface and subsurface biophysical characteristics. To circumvent the use of seasonal frost observations, only thaw-depth measurements taken during late-season months (late July to mid-September) or measurements designated to have no near-surface (within 1m) permafrost were used for model calibration and validation. Individual pixel values represent the probability of encountering near-surface permafrost (i.e. 0 to 100 %), as derived from a tree ensemble model, and pixel values greater than 100 correspond to masked land cover types (i.e. 101 = open water; 102 = perennial ice/snow; 103 = developed; 104 = barren, and; 105 = cultivated areas) as defined by the 2001 National Land Cover Database. Decision tree models and resultant maps were tested using independent field observations and f-fold cross validations, which indicated that the map product has an overall accuracy of approximately 85 % when using a probability threshold of 50 % (i.e. less than 50 % = near-surface permafrost absent; greater than or equal to 50 % = near-surface permafrost present). |
format |
Dataset |
author |
Neal J. Pastick Bruce K. Wylie M. Torre Jorgenson Shawn J. Nield Kristofer D. Johnson Andrew O. Finley |
author_facet |
Neal J. Pastick Bruce K. Wylie M. Torre Jorgenson Shawn J. Nield Kristofer D. Johnson Andrew O. Finley |
author_sort |
Neal J. Pastick |
title |
Probabilistic estimates of the distribution of near-surface (within 1m) permafrost in Alaska. |
title_short |
Probabilistic estimates of the distribution of near-surface (within 1m) permafrost in Alaska. |
title_full |
Probabilistic estimates of the distribution of near-surface (within 1m) permafrost in Alaska. |
title_fullStr |
Probabilistic estimates of the distribution of near-surface (within 1m) permafrost in Alaska. |
title_full_unstemmed |
Probabilistic estimates of the distribution of near-surface (within 1m) permafrost in Alaska. |
title_sort |
probabilistic estimates of the distribution of near-surface (within 1m) permafrost in alaska. |
publisher |
USGS Science Data Catalog |
publishDate |
2015 |
url |
https://search.dataone.org/view/44180560-0844-438a-bb18-adae613e191d |
op_coverage |
ENVELOPE(-173.5799,-117.45158,71.354904,52.40433) BEGINDATE: 2001-01-01T00:00:00Z ENDDATE: 2010-01-01T00:00:00Z |
long_lat |
ENVELOPE(-173.5799,-117.45158,71.354904,52.40433) |
genre |
Ice permafrost Alaska |
genre_facet |
Ice permafrost Alaska |
_version_ |
1800873296414113792 |