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Title: Remote Sensing-Based, 5-m, Vegetation Distributions, Kougarok Study Site, Seward Peninsula, Alaska, ca. 2009 - 2016

Abstract

A multi-sensor remote sensing-based deep learning approach was developed for generating high-resolution (5~m) vegetation maps for the western Alaskan Arctic on the Seward Peninsula, Alaska. This data was developed using the fusion of hyperspectral, multispectral, and terrain datasets. The current data is located in the Kougarok watershed but we plan to expand this over the Seward Peninsula.

Authors:
; ; ; ;
Publication Date:
Research Org.:
Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Contributing Org.:
ORNL
OSTI Identifier:
1418854
DOE Contract Number:
DE-AC05-00OR22725
Resource Type:
Data
Data Type:
Numeric Data
Country of Publication:
United States
Availability:
ORNL
Language:
English
Subject:
54 Environmental Sciences; ngee; ngee-arctic; remote sensing; kougarok; seward peninsula; alaska

Citation Formats

Langford, Zachary, Kumar, Jitendra, Hoffman, Forrest, Iversen, Colleen, and Breen, Amy. Remote Sensing-Based, 5-m, Vegetation Distributions, Kougarok Study Site, Seward Peninsula, Alaska, ca. 2009 - 2016. United States: N. p., 2018. Web. doi:10.5440/1418854.
Langford, Zachary, Kumar, Jitendra, Hoffman, Forrest, Iversen, Colleen, & Breen, Amy. Remote Sensing-Based, 5-m, Vegetation Distributions, Kougarok Study Site, Seward Peninsula, Alaska, ca. 2009 - 2016. United States. doi:10.5440/1418854.
Langford, Zachary, Kumar, Jitendra, Hoffman, Forrest, Iversen, Colleen, and Breen, Amy. Wed . "Remote Sensing-Based, 5-m, Vegetation Distributions, Kougarok Study Site, Seward Peninsula, Alaska, ca. 2009 - 2016". United States. doi:10.5440/1418854. https://www.osti.gov/servlets/purl/1418854.
@article{osti_1418854,
title = {Remote Sensing-Based, 5-m, Vegetation Distributions, Kougarok Study Site, Seward Peninsula, Alaska, ca. 2009 - 2016},
author = {Langford, Zachary and Kumar, Jitendra and Hoffman, Forrest and Iversen, Colleen and Breen, Amy},
abstractNote = {A multi-sensor remote sensing-based deep learning approach was developed for generating high-resolution (5~m) vegetation maps for the western Alaskan Arctic on the Seward Peninsula, Alaska. This data was developed using the fusion of hyperspectral, multispectral, and terrain datasets. The current data is located in the Kougarok watershed but we plan to expand this over the Seward Peninsula.},
doi = {10.5440/1418854},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jan 31 00:00:00 EST 2018},
month = {Wed Jan 31 00:00:00 EST 2018}
}

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