Empirical insights on the use of sun-induced chlorophyll fluorescence to estimate short-term changes in crop transpiration under controlled water limitation

Ahmed, Kazi Rifat; Paul‐Limoges, Eugénie; Rascher, Uwe; Hanuš, Jan; Miglietta, F.; Colombo, R.; Peressotti, Alessandro; Genangeli, Andrea; Damm, Alexander

doi:10.1016/j.isprsjprs.2023.07.016

Cited by 3 publications

(2 citation statements)

References 69 publications

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“…Previous research has shown that common vegetation indices are not strong enough to reflect the photosynthetic capacity of vegetation when used as indicators of greenness, and they have obvious lag in response to vegetation stress such as drought [40][41][42][43]. In the last ten years, a new vegetation remote sensing technology known as solar-induced chlorophyll fluorescence (SIF) has emerged that can make up for the shortcomings of conventional optical remote sensing observations based on "greenness" and offer a fresh approach for tracking extensive vegetation photosynthesis [44][45][46][47]. In addition, it has been confirmed that SIF responds faster and with a more significant decline to drought stress on a temporal scale.…”

Section: Introductionmentioning

confidence: 99%

Ecological Environment Quality Assessment of Arid Areas Based on Improved Remote Sensing Ecological Index—A Case Study of the Loess Plateau

Shi,

Lin,

Jing

et al. 2023

Sustainability

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Ecosystems in arid and semi-arid areas are delicate and prone to different erosive effects. Monitoring and evaluating the environmental ecological condition in such areas contribute to the governance and restoration of the ecosystem. Remote sensing ecological indices (RSEIs) are widely used as a method for environmental monitoring and have been extensively applied in various regions. This study selects the arid and semi-arid Loess Plateau as the research area, in response to existing research on ecological monitoring that predominantly uses vegetation indices as monitoring indicators for greenness factors. A fluorescence remote sensing ecological index (SRSEI) is constructed by using monthly synthesized sun-induced chlorophyll fluorescence data during the vegetation growth period as a new component for greenness and combining it with MODIS product data. The study generates the RSEI and SRSEI for the research area spanning from 2001 to 2021. The study compares and analyzes the differences between the two indices and explores the evolution patterns of the ecosystem quality in the Loess Plateau over a 21-year period. The results indicate consistent and positively correlated linear fitting trend changes in the RSEI and SRSEI for the research area between 2001 and 2021. The newly constructed ecological index exhibits a higher correlation with rainfall data, and it shows a more significant decrease in magnitude during drought occurrences, indicating a faster and stronger response of the new index to drought in the research area. The largest proportions are found in the research area’s regions with both substantial and minor improvements, pointing to an upward tendency in the Loess Plateau’s ecosystem development. The newly constructed environmental index can effectively evaluate the quality of the ecosystem in the research area.

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Section: Introductionmentioning

confidence: 99%

Ecological Environment Quality Assessment of Arid Areas Based on Improved Remote Sensing Ecological Index—A Case Study of the Loess Plateau

Shi,

Lin,

Jing

et al. 2023

Sustainability

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“…Additionally, the SIF-T relationship has been used for evaluating vegetation water stress. For example, coupling vapour pressure deficit with SIF was able to improve T estimation [39], assessing the sensitivity of SIF-based T estimating considering soil water limitations [40], applying SIF to deliver global transpiration estimates [15], and partitioning T from ET based on a SIF-driven model [41]. However, these studies focused on SIF emissions in the far-red region (740 nm and 760 nm), and hence, the correlation between T and other specific SIF bands remains unknown.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Open Woodland Transpiration Incorporating Sun-Induced Chlorophyll Fluorescence and Vegetation Structure

Gao,

Woodgate,

et al. 2023

Remote Sensing

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Transpiration (T) represents plant water use, while sun-induced chlorophyll fluorescence (SIF) emitted during photosynthesis, relates well to gross primary production. SIF can be influenced by vegetation structure, while uncertainties remain on how this might impact the relationship between SIF and T, especially for open and sparse woodlands. In this study, a method was developed to map T in riverine floodplain open woodland environments using satellite data coupled with a radiative transfer model (RTM). Specifically, we used FluorFLiES, a three-dimensional SIF RTM, to simulate the full spectrum of SIF for three open woodland sites with varying fractional vegetation cover. Five specific SIF bands were selected to quantify their correlation with field measured T derived from sap flow sensors. The coefficient of determination of the simulated far-red SIF and field measured T at a monthly scale was 0.93. However, when comparing red SIF from leaf scale to canopy scale to predict T, performance declined by 24%. In addition, varying soil reflectance and understory leaf area index had little effect on the correlation between SIF and T. The method developed can be applied regionally to predict tree water use using remotely sensed SIF datasets in areas of low data availability or accessibility.

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Heat transfer processes in 'Shine Muscat' grapevine leaves in solar greenhouses under different irrigation treatments

Wang,

Xie,

Wang

et al. 2024

Heliyon

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Empirical insights on the use of sun-induced chlorophyll fluorescence to estimate short-term changes in crop transpiration under controlled water limitation

Cited by 3 publications

References 69 publications

Ecological Environment Quality Assessment of Arid Areas Based on Improved Remote Sensing Ecological Index—A Case Study of the Loess Plateau

Ecological Environment Quality Assessment of Arid Areas Based on Improved Remote Sensing Ecological Index—A Case Study of the Loess Plateau

Prediction of Open Woodland Transpiration Incorporating Sun-Induced Chlorophyll Fluorescence and Vegetation Structure

Heat transfer processes in 'Shine Muscat' grapevine leaves in solar greenhouses under different irrigation treatments

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