DOE Data Explorer title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Coincident Above- and Below-ground Autonomous Monitoring to Quantify Co-variability in Permafrost, Soil and Vegetation Properties in Arctic Tundra: Supporting Data

Abstract

These data are provided in support of an NGEE Arctic publication (Dafflon et al., 2017) available at doi: 10.1002/2016JG003724 The dataset contains measurements obtained through 1) electrical resistivity tomography (ERT) to monitor soil properties, 2) pole-mounted optical cameras to monitor vegetation dynamics, and 3) point probes to measure soil temperature, and periodic manual measurements of thaw layer thickness, snow thickness and soil dielectric permittivity at a study site in the Barrow Environmental Observatory (BEO) in 2013 and 2014. The BEO is located within the Arctic coastal region, about 6 km from the ocean shore and the village of Barrow, AK. Dataset DOI:10.5440/1355348; https://doi.org/10.5440/1355348

Authors:
; ; ; ; ; ;
Publication Date:
Other Number(s):
NGA100
ngee_9073DC752E591B96F6555CF8058640D12017_05_17_134844267
DOE Contract Number:  
DE-AC05-00OR22725
Product Type:
Dataset
Research Org.:
Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); NGEE Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Subject:
54 Environmental Sciences
Keywords:
Snow depth; Topography; Thaw layer depth; Soil electrical conductivity; Dielectric permittivity; NDVI; Green chromatic coordinate; Soil electrical conductivity and green chromatic coordinate; North Slope, Alaska; AB Corridor; Barrow Environmental Observatory; Barrow, Alaska; Utqiagvik, Alaska
OSTI Identifier:
1355348
DOI:
https://doi.org/10.5440/1355348

Citation Formats

Dafflon, Baptiste, Oktem, Rusen, Peterson, John, Ulrich, Craig, Tran, Anh, Romanovsky, Vladimir, and Hubbard, Susan. Coincident Above- and Below-ground Autonomous Monitoring to Quantify Co-variability in Permafrost, Soil and Vegetation Properties in Arctic Tundra: Supporting Data. United States: N. p., 2017. Web. doi:10.5440/1355348.
Dafflon, Baptiste, Oktem, Rusen, Peterson, John, Ulrich, Craig, Tran, Anh, Romanovsky, Vladimir, & Hubbard, Susan. Coincident Above- and Below-ground Autonomous Monitoring to Quantify Co-variability in Permafrost, Soil and Vegetation Properties in Arctic Tundra: Supporting Data. United States. doi:https://doi.org/10.5440/1355348
Dafflon, Baptiste, Oktem, Rusen, Peterson, John, Ulrich, Craig, Tran, Anh, Romanovsky, Vladimir, and Hubbard, Susan. 2017. "Coincident Above- and Below-ground Autonomous Monitoring to Quantify Co-variability in Permafrost, Soil and Vegetation Properties in Arctic Tundra: Supporting Data". United States. doi:https://doi.org/10.5440/1355348. https://www.osti.gov/servlets/purl/1355348. Pub date:Sat May 06 00:00:00 EDT 2017
@article{osti_1355348,
title = {Coincident Above- and Below-ground Autonomous Monitoring to Quantify Co-variability in Permafrost, Soil and Vegetation Properties in Arctic Tundra: Supporting Data},
author = {Dafflon, Baptiste and Oktem, Rusen and Peterson, John and Ulrich, Craig and Tran, Anh and Romanovsky, Vladimir and Hubbard, Susan},
abstractNote = {These data are provided in support of an NGEE Arctic publication (Dafflon et al., 2017) available at doi: 10.1002/2016JG003724 The dataset contains measurements obtained through 1) electrical resistivity tomography (ERT) to monitor soil properties, 2) pole-mounted optical cameras to monitor vegetation dynamics, and 3) point probes to measure soil temperature, and periodic manual measurements of thaw layer thickness, snow thickness and soil dielectric permittivity at a study site in the Barrow Environmental Observatory (BEO) in 2013 and 2014. The BEO is located within the Arctic coastal region, about 6 km from the ocean shore and the village of Barrow, AK. Dataset DOI:10.5440/1355348; https://doi.org/10.5440/1355348},
doi = {10.5440/1355348},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {5}
}