Articles | Volume 11, issue 4
https://doi.org/10.5194/tc-11-1575-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-11-1575-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
04 Jul 2017
Research article |
| 04 Jul 2017
Unmanned aerial system nadir reflectance and MODIS nadir BRDF-adjusted surface reflectances intercompared over Greenland
John Faulkner Burkhart
CORRESPONDING AUTHOR
Department of Geosciences, University of Oslo, Oslo, Norway
University of California, Merced, CA, USA
Arve Kylling
Norwegian Institute for Air Research, Kjeller, Norway
Crystal B. Schaaf
School for the Environment, University of Massachusetts Boston, Boston, MA, USA
Zhuosen Wang
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
Wiley Bogren
U.S. Geological Survey, Flagstaff, AZ, USA
Rune Storvold
Norut-Northern Research Institute, Tromsø, Norway
Stian Solbø
Norut-Northern Research Institute, Tromsø, Norway
Christina A. Pedersen
Norwegian Polar Institute, Fram Centre, Tromsø, Norway
Sebastian Gerland
Norwegian Polar Institute, Fram Centre, Tromsø, Norway
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- A Novel Tilt Correction Technique for Irradiance Sensors and Spectrometers On-Board Unmanned Aerial Vehicles J. Suomalainen et al. 10.3390/rs10122068
- Comparing, validating and improving the performance of reflectance obtention method for UAV-Remote sensing H. Cao et al. 10.1016/j.jag.2021.102391
- Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data V. Sagan et al. 10.1109/TGRS.2021.3091409
- Temporal Variability of Surface Reflectance Supersedes Spatial Resolution in Defining Greenland’s Bare-Ice Albedo T. Irvine-Fynn et al. 10.3390/rs14010062
- Open fires in Greenland in summer 2017: transport, deposition and radiative effects of BC, OC and BrC emissions N. Evangeliou et al. 10.5194/acp-19-1393-2019
- Evaluation of a new snow albedo scheme for the Greenland ice sheet in the Regional Atmospheric Climate Model (RACMO2) C. van Dalum et al. 10.5194/tc-14-3645-2020
- UAV in the advent of the twenties: Where we stand and what is next F. Nex et al. 10.1016/j.isprsjprs.2021.12.006
- High-accuracy UAV photogrammetry of ice sheet dynamics with no ground control T. Chudley et al. 10.5194/tc-13-955-2019
- Modeling Discrete Forest Anisotropic Reflectance Over a Sloped Surface With an Extended GOMS and SAIL Model S. Wu et al. 10.1109/TGRS.2018.2863605
- Initial Performance Analysis of the At-Altitude Radiance Ratio Method for Reflectance Conversion of Hyperspectral Remote Sensing Data L. DeCoffe et al. 10.3390/s23010320
- Assessing Satellite‐Derived Radiative Forcing From Snow Impurities Through Inverse Hydrologic Modeling F. Matt & J. Burkhart 10.1002/2018GL077133
- Relationships between summertime surface albedo and melt pond fraction in the central Arctic Ocean: The aggregate scale of albedo obtained on the MOSAiC floe R. Calmer et al. 10.1525/elementa.2023.00001
- Radiometric Correction of Close-Range Spectral Image Blocks Captured Using an Unmanned Aerial Vehicle with a Radiometric Block Adjustment E. Honkavaara & E. Khoramshahi 10.3390/rs10020256
- Applications of Unmanned Aerial Vehicles in Cryosphere: Latest Advances and Prospects C. Gaffey & A. Bhardwaj 10.3390/rs12060948
- A UAV-Based Sensor System for Measuring Land Surface Albedo: Tested over a Boreal Peatland Ecosystem F. Canisius et al. 10.3390/drones3010027
- Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows H. Aasen et al. 10.3390/rs10071091
- Capturing rapid land surface dynamics with Collection V006 MODIS BRDF/NBAR/Albedo (MCD43) products Z. Wang et al. 10.1016/j.rse.2018.02.001
- An Operational Methodology for Validating Satellite-Based Snow Albedo Measurements Using a UAV A. Mullen et al. 10.3389/frsen.2021.767593
19 citations as recorded by crossref.
- Comparison of UAS and Sentinel-2 Multispectral Imagery for Water Quality Monitoring: A Case Study for Acid Mine Drainage Affected Areas (SW Spain) M. Isgró et al. 10.3390/rs14164053
- A Back Propagation Neural Network-Based Radiometric Correction Method (BPNNRCM) for UAV Multispectral Image Y. Zhang et al. 10.1109/JSTARS.2022.3223781
- A Novel Tilt Correction Technique for Irradiance Sensors and Spectrometers On-Board Unmanned Aerial Vehicles J. Suomalainen et al. 10.3390/rs10122068
- Comparing, validating and improving the performance of reflectance obtention method for UAV-Remote sensing H. Cao et al. 10.1016/j.jag.2021.102391
- Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data V. Sagan et al. 10.1109/TGRS.2021.3091409
- Temporal Variability of Surface Reflectance Supersedes Spatial Resolution in Defining Greenland’s Bare-Ice Albedo T. Irvine-Fynn et al. 10.3390/rs14010062
- Open fires in Greenland in summer 2017: transport, deposition and radiative effects of BC, OC and BrC emissions N. Evangeliou et al. 10.5194/acp-19-1393-2019
- Evaluation of a new snow albedo scheme for the Greenland ice sheet in the Regional Atmospheric Climate Model (RACMO2) C. van Dalum et al. 10.5194/tc-14-3645-2020
- UAV in the advent of the twenties: Where we stand and what is next F. Nex et al. 10.1016/j.isprsjprs.2021.12.006
- High-accuracy UAV photogrammetry of ice sheet dynamics with no ground control T. Chudley et al. 10.5194/tc-13-955-2019
- Modeling Discrete Forest Anisotropic Reflectance Over a Sloped Surface With an Extended GOMS and SAIL Model S. Wu et al. 10.1109/TGRS.2018.2863605
- Initial Performance Analysis of the At-Altitude Radiance Ratio Method for Reflectance Conversion of Hyperspectral Remote Sensing Data L. DeCoffe et al. 10.3390/s23010320
- Assessing Satellite‐Derived Radiative Forcing From Snow Impurities Through Inverse Hydrologic Modeling F. Matt & J. Burkhart 10.1002/2018GL077133
- Relationships between summertime surface albedo and melt pond fraction in the central Arctic Ocean: The aggregate scale of albedo obtained on the MOSAiC floe R. Calmer et al. 10.1525/elementa.2023.00001
- Radiometric Correction of Close-Range Spectral Image Blocks Captured Using an Unmanned Aerial Vehicle with a Radiometric Block Adjustment E. Honkavaara & E. Khoramshahi 10.3390/rs10020256
- Applications of Unmanned Aerial Vehicles in Cryosphere: Latest Advances and Prospects C. Gaffey & A. Bhardwaj 10.3390/rs12060948
- A UAV-Based Sensor System for Measuring Land Surface Albedo: Tested over a Boreal Peatland Ecosystem F. Canisius et al. 10.3390/drones3010027
- Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows H. Aasen et al. 10.3390/rs10071091
- Capturing rapid land surface dynamics with Collection V006 MODIS BRDF/NBAR/Albedo (MCD43) products Z. Wang et al. 10.1016/j.rse.2018.02.001
1 citations as recorded by crossref.
Latest update: 14 Dec 2024
Short summary
We present the first use of spectrometer measurements from a drone to assess reflectance and albedo over the Greenland Ice Sheet. In order to measure albedo – a critical parameter in the earth's energy balance – a drone was flown along 200 km transects coincident with Terra and Aqua satellites flying MODIS. We present a direct comparison of UAV-measured reflectance with satellite data over Greenland and provide a new method to study cryospheric surfaces using UAV with spectral instruments.
We present the first use of spectrometer measurements from a drone to assess reflectance and...
