A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra: Supporting Data

DOI: https://doi.org/10.5440/1647365
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NGEE Arctic Record ID: NGA232
Data Version: 1.0
Abstract

Remote sensing data collected from Brookhaven National Laboratory’s (BNL) heavy-lift unoccupied aerial system (UAS) octocopter platform – the Osprey – operated by the Terrestrial Ecosystem Science and Technology (TEST) group. Data was collected from a single flight over the Kougarok hillslope site on 26 July, 2018. The Osprey is a multi-sensor UAS platform that simultaneously measures very high spatial resolution optical red/green/blue (RGB) and thermal infrared (TIR) surface “skin” temperature imagery, as well as surface reflectance at 1nm intervals in the visible to near-infrared spectral range from ~350-1000 nm measured at regular intervals along each flight path. Derived image products include ortho-mosaiced RGB and TIR images, an RGB-based digital surface model (DSM) using the structure from motion (SfM) technique, digital terrain model (DTM), and a canopy height model. Ancillary aircraft data, flight mission parameters, and general flight conditions are also included. This dataset includes one pdf file and ten additional files in a variety of formats. 

The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.

The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.

Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).

Authors
Shawn Serbin (sserbin@bnl.gov) 0000-0003-4136-8971
Dedi Yang (dediyang@bnl.gov) 0000-0003-1705-7823
Andrew McMahon (amcmahon@bnl.gov) 0000-0001-8836-6645
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Dataset Citation
Shawn Serbin, Dedi Yang, Andrew McMahon. 2020. A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra: Supporting Data. Next Generation Ecosystem Experiments Arctic Data Collection, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tennessee, USA. Dataset accessed on [INSERT_DATE] at https://doi.org/10.5440/1647365.
Dates
2018-07-26 - 2018-07-26
Geographic Location
NGEE Arctic Kougarok Site, Mile Marker 64, Alaska
North65.171801
South65.153612
East-164.801947
West-164.844501
Place Keywords:
N/A
Subject Keywords:
N/A
GCMD Keywords
EARTH SCIENCE > BIOSPHERE > VEGETATION
EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS
EARTH SCIENCE > SPECTRAL/ENGINEERING > INFRARED WAVELENGTHS
Methodology
PLATFORM DETAILS: Airframe: CarbonCore Cortex X8 Heavy-Lift airframe (CarbonCore Ltd, York, North Yorkshire, United Kingdom) Maximum payload weight: 12.8 kg (including airframe) Motor type (s): Tiger motor (T-Motors) Propeller type (s): T-Motor carbon fiber propellers Flight controller: 3DR PixelHawk PX4 Gimbal type (s): Gremsy H3 gimbal WiFi antenna (s): Nanostation Loco M2 Radio (s): 915 Mhz x 2 Handheld remote control: Futaba 14-channel computer radio system SENSOR SPECIFICATIONS: Digital SLR: Camera: Canon EOS M6 Lens: Canon Zoom Lens EF-M 15-45 mm FOV: 44-100 degrees Image area and size: DX 6000 × 4000 = 24 megapixel Shutter speed: 1/200 s ISO: 100 Focus: auto, infinity White balance: sunlight Image format: jpg Quantization: 12-bit Thermal camera: Model/Make: ICI Sensor: 9640 P-series Serial number: 6001194 Image area and size: DX 640 × 480 Data output: degrees Celsius Accuracy: +/- 1 degree Frame rate: 30Hz Sensitivity: 7 – 14 μm Quantization: 14-bit Point spectrometer: Model/Make: Ocean Optics FLAME spectrometer x 2 Downwelling FLAME foreoptic: Ocean Optics CC-3-DA cosine corrector Downwelling FLAME Serial number: 03923 Upwelling FLAME foreoptic: Ocean Optics 74-UV variable FOV lens set to 14 degrees Upwelling FLAME Serial number: 03924 Integration time: 1 -2 s Spectral range: 350 ~ 1000 nm Spectral resolution: 1.5 nm Resampled resolution: 1 nm spectral resolution from 400 ~ 900 nm Quantization: 16 - bit PLATFORM REFERENCE: Yang, D., R. Meng, B. D. Morrison, A. McMahon, W. Hantson, D. J. Hayes, A. L. Breen, V. G. Salmon, and S. P. Serbin. 2020. A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra. Remote Sensing 12(6), 2638. FLIGHT DETAILS: Site: Kougarok Road, mile marker 64 Flight name: Flight 6 Beginning date time: 2018-07-26 03:27:56 UTC Ending date time: 2018-07-26 03:32:53 UTC Flight boundary: See kmz file for details Flight height: 40 m Forward overlap: 85% Side overlap: 85% Flight speed: 5 m/s
Related References
Dedi Yang, Ran Meng, Bailey D. Morrison, Andrew McMahon, Wouter Hantson, Daniel J. Hayes, Amy L. Breen, Verity G. Salmon, and Shawn P. Serbin. 2020. A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra. Remote Sens. 2020, 12(16), 2638
https://doi.org/10.3390/rs12162638
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Related Identifiers
Identifier: 10.3390/rs12162638
Type: DOI
Relation: IsCitedBy
Metadata Contact
Contact information for the individual or organization that is knowledgeable about the data.
Person: Kim Ely
Organization: Brookhaven National Laboratory
Email: kely@bnl.gov
Point of Contact
Contact information for the individual or organization that is knowledgeable about the data.
Person: Shawn Serbin
Organization: Brookhaven National Laboratory
Email: sserbin@bnl.gov
Dataset Usage Rights
Public Datasets

This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0.

See the NGEE Arctic Data Policies for more details https://ngee-arctic.ornl.gov/data-policies.

Distribution Point of Contact
Contact: Data Center Support
Organization: Next-Generation Ecosystem Experiments (NGEE) Arctic Project, Oak Ridge National Laboratory
Email: support@ngee-arctic.ornl.gov