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

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 da...

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Bibliographic Details
Main Authors: Langford, Zachary, Kumar, Jitendra, Hoffman, Forrest, Iversen, Colleen, Breen, Amy
Format: Dataset
Language:English
Published: 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) 2019
Subjects:
54 Environmental Sciences
remote-sensing;VEGETATION;Seward Peninsula, Alaska;Kougarok
Arctic
Seward Peninsula
Alaska
Online Access:https://dx.doi.org/10.5440/1418854
https://www.osti.gov/servlets/purl/1418854/
Description
Summary: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. Dataset DOI:10.5440/1418854; https://doi.org/10.5440/1418854

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