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Part 1: Document Description
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Citation |
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Title: |
Unmanned Aerial Imagery over Stordalen Mire, Northern Sweden, 2014 |
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Identification Number: |
doi:10.7910/DVN/SJKV4T |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2019-03-14 |
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Version: |
1 |
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Bibliographic Citation: |
Palace, Michael; Herrick, Christina; DelGreco, Jessica; Varner, Ruth; Finnell, Daniel; Garnello, Anthony John, 2019, "Unmanned Aerial Imagery over Stordalen Mire, Northern Sweden, 2014", https://doi.org/10.7910/DVN/SJKV4T, Harvard Dataverse, V1 |
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Citation |
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Title: |
Unmanned Aerial Imagery over Stordalen Mire, Northern Sweden, 2014 |
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Identification Number: |
doi:10.7910/DVN/SJKV4T |
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Authoring Entity: |
Palace, Michael (University of New Hampshire) |
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Herrick, Christina (University of New Hampshire) |
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DelGreco, Jessica (University of New Hampshire) |
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Varner, Ruth (University of New Hampshire) |
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Finnell, Daniel (Virginia Commonwealth University) |
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Garnello, Anthony John (Northern Arizona University) |
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Software used in Production: |
Agisoft PhotoScan |
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Software used in Production: |
ArcGIS Desktop |
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Grant Number: |
EAR#1063037 |
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Grant Number: |
NNX14AD31G |
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Grant Number: |
NNX17AK10G |
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Grant Number: |
EF#1241037 |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Herrick, Christina |
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Depositor: |
Herrick, Christina |
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Date of Deposit: |
2019-03-14 |
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Holdings Information: |
https://doi.org/10.7910/DVN/SJKV4T |
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Study Scope |
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Keywords: |
Earth and Environmental Sciences |
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Abstract: |
RGB composite mosaic from over 600 images captured with a Panasonic Lumix-GM1 flown at solar noon aboard a fixed wing Robota Triton unmanned aircraft at approximately 70m above ground. Spatial resolution is 3 cm. For more information on methodology, see related publication. |
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Time Period: |
2014-07-11-2014-07-11 |
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Date of Collection: |
2014-07-11-2014-07-11 |
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Country: |
Sweden |
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Geographic Coverage: |
Lapland, Abisko, Stordalen |
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Geographic Unit(s): |
wetland, peatland, mire |
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Geographic Bounding Box: |
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Kind of Data: |
imagery |
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Kind of Data: |
geotiff |
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Notes: |
Data part of long-term research and collected in conjunction with nearby Abisko Scientific Research Station (Abisko Naturvetenskapliga Station, ANS) |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Restrictions: |
<a href="https://www.usnh.edu/policy/unh/viii-research-policies/c-unh-policy-ownership-management-and-sharing-research-data">UNH Policy on Ownership, Management, and Sharing of Research Data</a> |
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Citation Requirement: |
If you describe or reference the the methodology behind the creation of this dataset, please also reference the <a href="https://doi.org/10.3390/rs10091498">original publication</a> found in the metadata. |
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Notes: |
Data is provided under <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">CC BY-NC-SA</a>. You must give attribution to the original source via the data citation above, generated by the Dataverse. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you must distribute or publish your contributions under the same license as the original. <a href=" https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode">Click here for the official terms of use</a>. |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Palace M, Herrick C, DelGreco J, Finnell D, Garnello AJ, McCalley C, McArthur K, Sullivan F, Varner RK. Determining Subarctic Peatland Vegetation Using an Unmanned Aerial System (UAS). Remote Sensing. 2018; 10(9):1498. |
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Identification Number: |
10.3390/rs10091498 |
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Bibliographic Citation: |
Palace M, Herrick C, DelGreco J, Finnell D, Garnello AJ, McCalley C, McArthur K, Sullivan F, Varner RK. Determining Subarctic Peatland Vegetation Using an Unmanned Aerial System (UAS). Remote Sensing. 2018; 10(9):1498. |
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Label: |
Stordalen_Mire_RGB_20140711.tif |
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Notes: |
image/tiff |