Light scattering in stacked mesophyll cells results in similarity characteristic of solar spectral reflectance and transmittance of natural leaves DOI Creative Commons
Kai‐Da Xu, Hong Ye

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: March 22, 2023

Abstract Solar spectral reflectance and transmittance of natural leaves exhibit dramatic similarity. To elucidate the formation mechanism physiological significance, a radiative transfer model was constructed, effects stacked mesophyll cells, chlorophyll content leaf thickness on visible light absorptance were analyzed. Results indicated that scattering caused by cells is responsible for The optical path in increased with process, resulting significantly reduced meanwhile at low level, thus tends to maximum absorption photosynthetically active radiation (PAR) enhanced. Interestingly, as two key functional traits affecting process PAR, certain environment show convergent behavior, high leaves, which demonstrates PAR utilizing strategies leaves. This work provides new perspective revealing evolutionary processes ecological can be adopted guide improvement directions crop photosynthesis.

Language: Английский

Remote sensing of terrestrial plant biodiversity DOI
Ran Wang, John A. Gamon

Remote Sensing of Environment, Journal Year: 2019, Volume and Issue: 231, P. 111218 - 111218

Published: June 13, 2019

Language: Английский

Citations

312
Deep Learning and Machine Learning in Hydrological Processes Climate Change and Earth Systems a Systematic Review DOI
Sina Ardabili,

Amir Mosavi,

Majid Dehghani

et al.

Lecture notes in networks and systems, Journal Year: 2020, Volume and Issue: unknown, P. 52 - 62

Published: Jan. 1, 2020

Language: Английский

Citations

132
The Instrument Design of the DLR Earth Sensing Imaging Spectrometer (DESIS) DOI Creative Commons
David Krutz, Rupert Müller,

Uwe Knodt

et al.

Sensors, Journal Year: 2019, Volume and Issue: 19(7), P. 1622 - 1622

Published: April 4, 2019

Whether for identification and characterization of materials or monitoring the environment, space-based hyperspectral instruments are very useful. Hyperspectral measure several dozens up to hundreds spectral bands. These data help reconstruct properties like reflectance emission Earth surface absorption atmosphere, identify constituents on land, water, in atmosphere. There a lot possible applications, from vegetation water quality greenhouse gas monitoring. But actual number missions is limited. This will be changed next years by different missions. The German Aerospace Center (DLR) Sensing Imaging Spectrometer (DESIS) one new currently existing instruments, launched 2018 ready reduce gap space-born data. instrument operating onboard International Space Station, using Multi-User System (MUSES) platform. has 235 bands wavelength range visible (400 nm) near-infrared (1000 nm), which results 2.5 nm sampling distance ground 30 m 400 km orbit Station. In this article, design described.

Language: Английский

Citations

88
Satellite data reveal differential responses of Swiss forests to unprecedented 2018 drought DOI
Joan Sturm, Maria J. Santos, Bernhard Schmid

et al.

Global Change Biology, Journal Year: 2022, Volume and Issue: 28(9), P. 2956 - 2978

Published: Feb. 19, 2022

Extreme events such as the summer drought of 2018 in Central Europe are projected to occur more frequently future and may cause major damages including increased tree mortality negative impacts on forest ecosystem services. Here, we quantify response >1 million pixels 10 × m across Switzerland terms resistance, recovery, resilience. We used Normalized Difference Water Index (NDWI) derived from Sentinel-2 satellite data a proxy for canopy water content analyzed its relative change. calculated NDWI change between 2017 pre-drought years (indicating resistance), 2019 post-drought recovery), 2017-2019 resilience). Analyzing this large natural experiment, found that 4.3% Swiss declined 2018, indicating areas with low resistance effects. While roughly 50% area recovered, 2.7% forested continued decline 2019, suggesting prolonged effects or delayed damage. differential responses associated site topographic characteristics stand characteristics, lesser extent climatic conditions interactions these drivers. Low high recovery were most prominent at edges, but also south-facing slopes lower elevations. Tree functional type was important driver resilience, damage stands conifer abundance. Our results demonstrate suitability satellite-based quantification drought-induced spatial resolution areas. Such information is predict how local impact vulnerability extreme help search appropriate adaptation strategies.

Language: Английский

Citations

64
From spectra to plant functional traits: Transferable multi-trait models from heterogeneous and sparse data DOI Creative Commons
Eya Cherif, Hannes Feilhauer, Katja Berger

et al.

Remote Sensing of Environment, Journal Year: 2023, Volume and Issue: 292, P. 113580 - 113580

Published: April 21, 2023

Language: Английский

Citations

39
Estimating aboveground biomass of tropical urban forests with UAV-borne hyperspectral and LiDAR data DOI
Matheus Pinheiro Ferreira, Gabriela Barbosa Martins, Thaís Moreira Hidalgo de Almeida

et al.

Urban forestry & urban greening, Journal Year: 2024, Volume and Issue: 96, P. 128362 - 128362

Published: May 11, 2024

Language: Английский

Citations

12
Unveiling the transferability of PLSR models for leaf trait estimation: lessons from a comprehensive analysis with a novel global dataset DOI Creative Commons
Fujiang Ji, Fa Li, Dalei Hao

et al.

New Phytologist, Journal Year: 2024, Volume and Issue: 243(1), P. 111 - 131

Published: May 6, 2024

Summary Leaf traits are essential for understanding many physiological and ecological processes. Partial least squares regression (PLSR) models with leaf spectroscopy widely applied trait estimation, but their transferability across space, time, plant functional types (PFTs) remains unclear. We compiled a novel dataset of paired spectra, 47 393 records > 700 species eight PFTs at 101 globally distributed locations multiple seasons. Using this dataset, we conducted an unprecedented comprehensive analysis to assess the PLSR in estimating traits. While demonstrate commendable performance predicting chlorophyll content, carotenoid, water, mass per area prediction within training data efficacy diminishes when extrapolating new contexts. Specifically, locations, seasons, beyond leads reduced R 2 (0.12–0.49, 0.15–0.42, 0.25–0.56) increased NRMSE (3.58–18.24%, 6.27–11.55%, 7.0–33.12%) compared nonspatial random cross‐validation. The results underscore importance incorporating greater spectral diversity model boost its transferability. These findings highlight potential errors large spatial domains, diverse PFTs, time due biased validation schemes, provide guidance future field sampling strategies remote sensing applications.

Language: Английский

Citations

11
Mapping functional diversity using individual tree-based morphological and physiological traits in a subtropical forest DOI Creative Commons
Zhaoju Zheng, Yuan Zeng, Fabian Schneider

et al.

Remote Sensing of Environment, Journal Year: 2020, Volume and Issue: 252, P. 112170 - 112170

Published: Nov. 11, 2020

Functional diversity (FD) provides a link between biodiversity and ecosystem functioning, summarizing inter- intra-specific variation of functional traits. However, quantifying plant traits FD consistently cost-effectively across large heterogeneous forest areas is challenging with traditional field sampling. Airborne light detection ranging (LiDAR) imaging spectroscopy provide spatially explicit data, which allow mapping selected at different spatial scales. We develop an individual tree-based method to measure from tree neighborhoods whole forests, demonstrate the approach by over one million trees in subtropical China. retrieved canopy morphological (95th quantile height, leaf area index foliage height diversity) physiological (proxies nitrogen, carotenoids specific area) for each crown LiDAR respectively. Based on multivariate trait space spanned six axes filled measured individuals, we mapped as richness, divergence evenness, explored patterns well FD–area FD–tree number relationships. The results show that LiDAR-derived spectral indices are consistent measurements weak correlations other level. Morphological richness follows hump-shaped pattern along elevational gradient 984–1805 m, maximum values elevations around 1450 while high occurs medium elevations. At scale 30 × increases continuously density, but decreases again very densities. Moreover, shows logarithmic relationship increasing or trees, local convergence predominant our study area. ability quantify using remote sensing, pathway conduct individual-level trait-based ecology wall-to-wall data.

Language: Английский

Citations

64
Spectral subdomains and prior estimation of leaf structure improves PROSPECT inversion on reflectance or transmittance alone DOI
Lynsay Spafford, Guerric Le Maire, Andrew H. MacDougall

et al.

Remote Sensing of Environment, Journal Year: 2020, Volume and Issue: 252, P. 112176 - 112176

Published: Nov. 10, 2020

Language: Английский

Citations

54
Calibration and characterisation of four chlorophyll meters and transmittance spectroscopy for non-destructive estimation of forest leaf chlorophyll concentration DOI Creative Commons
Luke A. Brown, Owen Williams, Jadunandan Dash

et al.

Agricultural and Forest Meteorology, Journal Year: 2022, Volume and Issue: 323, P. 109059 - 109059

Published: June 24, 2022

Chlorophyll meters enable efficient and non-destructive estimation of leaf chlorophyll concentration (LCC), but require calibration against destructively-determined values to provide an absolute quantity that is comparable between different studies species. Well-established instruments can accurate LCC estimates, the performance recent low-cost devices less clear. Questions also remain over choice generic or species-specific functions. Additionally, little attention has been paid transmittance spectroscopy, which offers substantially increased spectral sampling, as a potential alternative. We investigated well-established Konica Minolta SPAD-502+ Opti-Sciences CCM-200 atLEAF CHL PLUS PhotosynQ MultispeQ V1.0 for forest LCC. calibrated each meter eight temperate deciduous broadleaf species, characterised relationships instruments. assessed whether spectroscopy could improved accuracy. All demonstrated similarly strong with LCC, indicating once calibrated, even represent suitable estimation. With exception oak, – were consistent these function may be depending on required Specifically, provided by functions fell within prediction uncertainties most considered The explained 2% 16% variation in than functions, resulting mean increase RMSE (NRMSE) just 0.01 g m−2 0.02 (2% 5%). Transmittance was able meters, they miss some relevant information at blue green wavelengths. However, this comes expense reduced practicality field.

Language: Английский

Citations

36