Assessing spring phenology of a temperate woodland: A multiscale comparison of ground, unmanned aerial vehicle and Landsat satellite observations
- Submitting institution
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University of Newcastle upon Tyne
- Unit of assessment
- 12 - Engineering
- Output identifier
- 254626-132402-1293
- Type
- D - Journal article
- DOI
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10.1016/j.rse.2019.01.010
- Title of journal
- Remote Sensing of Environment
- Article number
- -
- First page
- 229
- Volume
- 223
- Issue
- -
- ISSN
- 0034-4257
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2019
- URL
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https://doi.org/10.1016/j.rse.2019.01.010
- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Imagery from unmanned aerial vehicles addresses a key gap in validation of satellite vegetation phenology products, allowing the scaling up of spatially limited ground observations, and this work provides the first test of this at woodland-scales, against extensive ground observations and Landsat data. The developed calibration approaches (here and related paper https://doi.org/10.1109/TGRS.2017.2655365) and time-series methods based on UAV reflectance data, form a basis for hyperspectral drone image processing in STFC-funded ST/P007066/1 and underpin a Brazilian CNPq-funded fellowship (to Berra, with EMBRAPA), on Integrated Crop-Livestock-Forestry systems.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -