Journal article 787 views 231 downloads
Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline
Alberto Hornero,
P.J. Zarco-Tejada,
J.L. Quero,
Peter North 
,
F.J. Ruiz-Gómez,
R. Sánchez-Cuesta,
Rocio Hernandez-Clemente
,
F.J. Ruiz-Gómez,
R. Sánchez-Cuesta,
Rocio Hernandez-Clemente
Remote Sensing of Environment, Volume: 263, Start page: 112570
Swansea University Authors:
Alberto Hornero, Peter North , Rocio Hernandez-Clemente
-
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DOI (Published version): 10.1016/j.rse.2021.112570
Abstract
Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline
| Published in: | Remote Sensing of Environment |
|---|---|
| ISSN: | 0034-4257 |
| Published: |
Elsevier BV
2021
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa57483 |
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| Keywords: |
High-resolution imagery; Radiative transfer modelling; Forest dieback; Disease monitoring |
|---|---|
| College: |
Faculty of Science and Engineering |
| Start Page: |
112570 |