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

[Purpose of Review] We provide a comprehensive review of the empirical and modelling approaches used to quantify the radiation–vegetation interactions related to vegetation temperature, leaf optical properties linked to pigment absorption and chlorophyll fluorescence emission, and of their capability to monitor vegetation health. Part 1 provides an overview of the main physiological indicators (PIs) applied in remote sensing to detect alterations in plant functioning linked to vegetation diseases and decline processes. Part 2 reviews the recent advances in the development of quantitative methods to assess PI through hyperspectral and thermal images.

Bibliographic Details

Main Authors:	Hernández-Clemente, Rocío, Hornero, Alberto, Mottus, M., Peñuelas, Josep, González-Dugo, Victoria, Jiménez-Muñoz, J. C., Suárez, L., Alonso, Luis, Zarco-Tejada, Pablo J.
Other Authors:	Ministerio de Economía y Competitividad (España)
Format:	artículo de revisión biblioteca
Language:	English
Published:	Springer Nature 2019-08-20
Subjects:	Vegetation health, Hyperspectral and thermal data, Physiological indicators, Radiative transfer models, Vegetation indices,
Online Access:	http://hdl.handle.net/10261/207048 http://dx.doi.org/10.13039/501100002341 http://dx.doi.org/10.13039/501100000781 http://dx.doi.org/10.13039/501100003329
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