Diagnosing Emerging Infectious Diseases of Trees Using Ground Penetrating Radar
- Submitting institution
-
The University of West London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12051
- Type
- D - Journal article
- DOI
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10.1109/TGRS.2019.2944070
- Title of journal
- IEEE Transactions on Geoscience and Remote Sensing
- Article number
- -
- First page
- 1146
- Volume
- 58
- Issue
- 2
- ISSN
- 0196-2892
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A novel fully automatic imaging algorithm for detection of early decay in tree trunks in real-time is presented. The analysis is supported by examples of the electromagnetic response in numerical samples compared to real-life GPR measurements (ref: D.Mortimer, Ealing Council). A novel detection framework based on a modified Kirchhoff and a reverse-time migration method proved vital in making accurate predictions and forms a guidance for detection of decays in trunks – direct applications in forestry and arboriculture management sciences. This pioneering research received international acknowledgments: the cover page feature of IEEE TGRS (Feb 2020, Vol. 58, no. 02; IGRSD2(ISSN 0196-2892).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
