Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiative Transfer Modelling-Reference-Cited by-同舟云学术

Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiative Transfer Modelling

Published:2019-08-20 Issue:3 Volume:5 Page:169-183
ISSN:2198-6436
Container-title:Current Forestry Reports
language:en
Short-container-title:Curr Forestry Rep

Author:

Hernández-Clemente R.,Hornero A.,Mottus M.,Penuelas J.,González-Dugo V.,Jiménez J. C.,Suárez L.,Alonso L.,Zarco-Tejada P. J.

Funder

Swansea University

Publisher

Springer Science and Business Media LLC

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics,Forestry

Link

http://link.springer.com/content/pdf/10.1007/s40725-019-00096-1.pdf

Reference128 articles.

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2. Steyn WJ, Wand SJE, Holcroft DM, Jacobs G. Anthocyanins in vegetative tissues: a proposed unified function in photoprotection. New Phytol. 2002;155:349–61. https://doi.org/10.1046/j.1469-8137.2002.00482.x .

3. •• Zarco-Tejada PJ, Camino C, Beck PSA, Calderon R, Hornero A, Hernández-Clemente R, et al. Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations. Nat Plants. 2018. https://doi.org/10.1038/s41477-018-0189-7 This study provides a practical framework for evaluating the effectiveness of detecting pre-visual symptoms of Xylella fastidiosa infection using high-resolution hyperspectral images, thermal data and radiative transfer modelling.

4. Calderón R, Navas-Cortés JA, Zarco-Tejada PJ. Early detection and quantification of Verticillium wilt in olive using hyperspectral and thermal imagery over large areas. Remote Sens. 2015;7:5584–610. https://doi.org/10.3390/rs70505584 .

5. López-López M, Calderón R, González-Dugo V, Zarco-Tejada PJ, Fereres E. Early detection and quantification of almond red leaf blotch using high-resolution hyperspectral and thermal imagery. Remote Sens. 2016;8:276. https://doi.org/10.3390/rs8040276 .

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