Suppr超能文献

植被中太阳诱导叶绿素荧光(SIF)的遥感:50年的进展。

Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress.

作者信息

Mohammed Gina H, Colombo Roberto, Middleton Elizabeth M, Rascher Uwe, van der Tol Christiaan, Nedbal Ladislav, Goulas Yves, Pérez-Priego Oscar, Damm Alexander, Meroni Michele, Joiner Joanna, Cogliati Sergio, Verhoef Wouter, Malenovský Zbyněk, Gastellu-Etchegorry Jean-Philippe, Miller John R, Guanter Luis, Moreno Jose, Moya Ismael, Berry Joseph A, Frankenberg Christian, Zarco-Tejada Pablo J

机构信息

P&M Technologies, Sault Ste. Marie, Ontario, Canada.

Remote Sensing of Environmental Dynamics Lab., University of Milano - Bicocca, Milan, Italy.

出版信息

Remote Sens Environ. 2019 Sep 15;231. doi: 10.1016/j.rse.2019.04.030. Epub 2019 Jul 13.

Abstract

Remote sensing of solar-induced chlorophyll fluorescence (SIF) is a rapidly advancing front in terrestrial vegetation science, with emerging capability in space-based methodologies and diverse application prospects. Although remote sensing of SIF - especially from space - is seen as a contemporary new specialty for terrestrial plants, it is founded upon a multi-decadal history of research, applications, and sensor developments in active and passive sensing of chlorophyll fluorescence. Current technical capabilities allow SIF to be measured across a range of biological, spatial, and temporal scales. As an optical signal, SIF may be assessed remotely using highly-resolved spectral sensors and state-of-the-art algorithms to distinguish the emission from reflected and/or scattered ambient light. Because the red to far-red SIF emission is detectable non-invasively, it may be sampled repeatedly to acquire spatio-temporally explicit information about photosynthetic light responses and steady-state behaviour in vegetation. Progress in this field is accelerating with innovative sensor developments, retrieval methods, and modelling advances. This review distills the historical and current developments spanning the last several decades. It highlights SIF heritage and complementarity within the broader field of fluorescence science, the maturation of physiological and radiative transfer modelling, SIF signal retrieval strategies, techniques for field and airborne sensing, advances in satellite-based systems, and applications of these capabilities in evaluation of photosynthesis and stress effects. Progress, challenges, and future directions are considered for this unique avenue of remote sensing.

摘要

太阳诱导叶绿素荧光(SIF)的遥感是陆地植被科学中一个快速发展的前沿领域,在天基方法方面具有新出现的能力和多样的应用前景。尽管SIF的遥感——尤其是从太空进行的遥感——被视为陆地植物的当代新专业,但它建立在叶绿素荧光主动和被动传感的研究、应用及传感器开发数十年的历史基础之上。当前的技术能力使SIF能够在一系列生物、空间和时间尺度上进行测量。作为一种光信号,可以使用高分辨率光谱传感器和最先进的算法对SIF进行远程评估,以区分其发射光与反射和/或散射的环境光。由于从红色到远红色的SIF发射可以非侵入性地检测到,因此可以对其进行重复采样,以获取有关植被光合光响应和稳态行为的时空明确信息。随着创新的传感器开发、反演方法和建模进展,该领域的进展正在加速。本综述总结了过去几十年的历史和当前发展。它强调了SIF在更广泛的荧光科学领域中的传承和互补性、生理和辐射传输建模的成熟、SIF信号反演策略、地面和机载传感技术、天基系统的进展,以及这些能力在光合作用评估和胁迫效应方面的应用。本文考虑了这一独特遥感途径的进展、挑战和未来方向。

相似文献

1
Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress.
Remote Sens Environ. 2019 Sep 15;231. doi: 10.1016/j.rse.2019.04.030. Epub 2019 Jul 13.
6
Solar-induced chlorophyll fluorescence imaging spectrometer: design, manufacture, and evaluation.
Opt Express. 2022 Nov 7;30(23):41422-41436. doi: 10.1364/OE.473782.
7
Global retrievals of solar induced chlorophyll fluorescence with TROPOMI: first results and inter-sensor comparison to OCO-2.
Geophys Res Lett. 2018 Oct 16;45(19):10456-10463. doi: 10.1029/2018GL079031. Epub 2018 Oct 2.
10
Quantifying high-temperature stress on soybean canopy photosynthesis: The unique role of sun-induced chlorophyll fluorescence.
Glob Chang Biol. 2021 Jun;27(11):2403-2415. doi: 10.1111/gcb.15603. Epub 2021 Apr 12.

引用本文的文献

1
From spectrum to yield: advances in crop photosynthesis with hyperspectral imaging.
Photosynthetica. 2025 Jul 8;63(2):196-233. doi: 10.32615/ps.2025.012. eCollection 2025.
2
Spectral biology across scales in changing environments.
Ecology. 2025 Jul;106(7):e70078. doi: 10.1002/ecy.70078.
3
Analyzing canopy structure effects based on LiDAR for GPP-SIF relationship and GPP estimation.
Front Plant Sci. 2025 May 19;16:1561826. doi: 10.3389/fpls.2025.1561826. eCollection 2025.
5
Improved estimation of forage nitrogen in alpine grassland by integrating Sentinel-2 and SIF data.
Plant Methods. 2025 May 24;21(1):69. doi: 10.1186/s13007-025-01389-2.
8
BO-CNN-BiLSTM deep learning model integrating multisource remote sensing data for improving winter wheat yield estimation.
Front Plant Sci. 2024 Dec 20;15:1500499. doi: 10.3389/fpls.2024.1500499. eCollection 2024.
10
Evaluation on spatiotemporal consistency between solar-induced chlorophyll fluorescence and vegetation indices in grassland ecosystems.
PLoS One. 2024 Nov 15;19(11):e0313258. doi: 10.1371/journal.pone.0313258. eCollection 2024.

本文引用的文献

1
Retrieval of global terrestrial solar-induced chlorophyll fluorescence from TanSat satellite.
Sci Bull (Beijing). 2018 Nov 30;63(22):1502-1512. doi: 10.1016/j.scib.2018.10.003. Epub 2018 Oct 10.
3
Global retrievals of solar induced chlorophyll fluorescence with TROPOMI: first results and inter-sensor comparison to OCO-2.
Geophys Res Lett. 2018 Oct 16;45(19):10456-10463. doi: 10.1029/2018GL079031. Epub 2018 Oct 2.
4
Tropospheric Emissions: Monitoring of Pollution (TEMPO).
J Quant Spectrosc Radiat Transf. 2017 Jan;186:17-39. doi: 10.1016/j.jqsrt.2016.05.008. Epub 2016 Jun 6.
6
Regionally strong feedbacks between the atmosphere and terrestrial biosphere.
Nat Geosci. 2017 May 29;Volume 10(Iss 6):410-414. doi: 10.1038/ngeo2957.
9
Widespread reduction in sun-induced fluorescence from the Amazon during the 2015/2016 El Niño.
Philos Trans R Soc Lond B Biol Sci. 2018 Oct 8;373(1760):20170408. doi: 10.1098/rstb.2017.0408.
10
Sun-induced fluorescence and gross primary productivity during a heat wave.
Sci Rep. 2018 Sep 21;8(1):14169. doi: 10.1038/s41598-018-32602-z.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验