Progress on the development of an integrated canopy fluorescence model

Miller, John R.; Berger, Michael; Alonso, Luis; Cerović, Zoran G.; Goulas, Y.; Jacquemoud, Stéphane; Louis, J.; Mohammed, Gina H.; Moya, I.; Pedrós, R.; Moreno, José; Verhoef, W.; Zarco‐Tejada, Pablo J.

doi:10.1109/igarss.2003.1293855

Cited by 22 publications

(15 citation statements)

References 8 publications

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“…As summarized by Zarco-Tejada, Catalina, González, and Martín (2013), early modeling work of SIF was carried out within an ESA study by Miller et al (2003), in which the vegetation fluorescence canopy model FluorMOD was developed , consisting of the leaf model FluorMODleaf (Pedrós, Goulas, Jacquemoud, Louis, & Moya, 2010;Pedrós, Jacquemoud, Goulas, Louis, & Moya, 2004;Pedrós, Moya, Goulas, & Jacquemoud, 2008) and the canopy model FluorSAIL (Verhoef, 2004). FluorMOD was useful for evaluating whether the fluorescence signal superimposed onto leaf and canopy reflectance spectra could be discriminated.…”

Section: Scope and A-scope Modelsmentioning

confidence: 99%

Global sensitivity analysis of the SCOPE model: What drives simulated canopy-leaving sun-induced fluorescence?

Verrelst

Rivera

Tol

et al. 2015

Remote Sensing of Environment

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Section: Scope and A-scope Modelsmentioning

confidence: 99%

Global sensitivity analysis of the SCOPE model: What drives simulated canopy-leaving sun-induced fluorescence?

Verrelst

Rivera

Tol

et al. 2015

Remote Sensing of Environment

230

185

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“…4,5 However, oxygen gas can be toxic at elevated partial pressures, leading to convulsions and other health problems. Oxygen toxicity usually begins to occur at partial pressures more than 50 kPa or 2.5 times the normal sea-level O 2 partial pressure of about 21 kPa (equal to about 50% oxygen composition at standard pressure).…”

mentioning

confidence: 99%

Oxygen sensors made by monolayer graphene under room temperature

et al. 2011

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“…One of the first attempts to model the effects of fluorescence emission on the radiance and reflectance signatures was made by the European Space Agency (ESA). ESA developed the FluorMOD leaf [52] and the canopy FluorSAIL [53] models, including the fluorescence excitation-emission matrix to simulate the fluorescence effects at the canopy level. FluorMODleaf was based on the widely used and validated PROSPECT leaf optical properties model.…”

Section: Chlorophyll Fluorescence Emissionmentioning

confidence: 99%

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

et al. 2019

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Purpose of Review We provide a comprehensive review of the empirical and modelling approaches used to quantify the radiationvegetation 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. Recent Findings In recent years, the availability of high-resolution hyperspectral and thermal images has increased due to the extraordinary progress made in sensor technology, including the miniaturization of advanced cameras designed for unmanned aerial vehicle (UAV) systems and lightweight aircrafts. This technological revolution has contributed to the wider use of hyperspectral imaging sensors by the scientific community and industry; it has led to better modelling and understanding of the sensitivity of different ranges of the electromagnetic spectrum to detect biophysical alterations used as early warning indicators of vegetation health. Summary The review deals with the capability of PIs such as vegetation temperature, chlorophyll fluorescence, photosynthetic energy downregulation and photosynthetic pigments detected through remote sensing to monitor the early responses of plants to different stressors. Various methods for the detection of PI alterations have recently been proposed and validated to monitor vegetation health. The greatest challenges for the remote sensing community today are (i) the availability of high spatial, spectral and temporal resolution image data; (ii) the empirical validation of radiation-vegetation interactions; (iii) the upscaling of physiological alterations from the leaf to the canopy, mainly in complex heterogeneous vegetation landscapes; and (iv) the temporal dynamics of the PIs and the interaction between physiological changes. Keywords Vegetation health. Hyperspectral and thermal data. Physiological indicators. Radiative transfer models. Vegetation indices This article is part of the Topical Collection on Remote Sensing

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Progress on the development of an integrated canopy fluorescence model

Cited by 22 publications

References 8 publications

Global sensitivity analysis of the SCOPE model: What drives simulated canopy-leaving sun-induced fluorescence?

Global sensitivity analysis of the SCOPE model: What drives simulated canopy-leaving sun-induced fluorescence?

Oxygen sensors made by monolayer graphene under room temperature

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

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