Generality of relationships between leaf pigment contents and spectral vegetation indices in Mallorca (Spain)

Hallik, Lea; Kazantsev, Taras; Kuusk, Andres; Galmés, Jeroni; Tomás, Magdalena; Niinemets, Ülo

doi:10.1007/s10113-017-1202-9

Cited by 41 publications

(29 citation statements)

References 69 publications

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“…These inter-correlations must be considered when interpreting the relationships between forest parameters and spectral characteristics. In a leaf level study [17], we found that the simple ratio of reflectances at 751 nm and 736 nm was the best predictor of leaf chlorophyll content. To assess how such long wavelengths would operate at canopy level, we calculated the same index in our current study.…”

Section: Correlation Between Single Band Reflectance Factors and Specmentioning

confidence: 88%

“…Using spectral bands at 736 nm and 751 nm wavelengths suggested by Hallik et al [17], we found that SR (Equation (4)) and NDVI (Equation (5)) forms were almost linearly related to each other ( Figure 4C) and therefore we used only a single formulation of Equation (4)…”

Section: Methodsmentioning

confidence: 99%

“…Different wavelengths from visible (400-700 nm) to far-red/red-edge spectral region (700-730 nm) have been used to track pigment absorption features [16]. A review of different indices shows that in general vegetation indices that use only far-red spectral regions of longer wavelengths beyond 700 nm perform the best in predicting foliar chlorophyll content [17]. Pigment absorption declines sharply after 700 nm where the absorption maximum of the reaction center of photosystem I (P700) is located and this spectral region of fast change is called "red-edge".…”

Section: Introductionmentioning

confidence: 99%

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Reflectance Properties of Hemiboreal Mixed Forest Canopies with Focus on Red Edge and Near Infrared Spectral Regions

et al. 2019

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This study present the results of airborne top-of-canopy measurements of reflectance spectra in the spectral domain of 350-1050 nm over the hemiboreal mixed forest. We investigated spectral transformations that were originally designed for utilization at very different spectral resolutions. We found that the estimates of red edge inflection point by two methods-the linear four-point interpolation approach (S2REP) and searching the maximum of the first derivative spectrum (D max ) according to the mathematical definition of red edge inflection point-were well related to each other but S2REP produced a continuously shifting location of red edge inflection point while D max resulted in a discrete variable with peak jumps between fixed locations around 717 nm and 727 nm for forest canopy (the third maximum at 700 nm appeared only in clearcut areas). We found that, with medium high spectral resolution (bandwidth 10 nm, spectral step 3.3 nm), the in-filling of the O 2 -A Fraunhofer line (F area ) was very strongly related to single band reflectance factor in NIR spectral region (ρ = 0.91, p < 0.001) and not related to Photochemical Reflectance Index (PRI). Stemwood volume, basal area and tree height of dominant layer were negatively correlated with reflectance factors at both visible and NIR spectral region due to the increase in roughness of canopy surface and the amount of shade. Forest age was best related to single band reflectance at NIR region (ρ = −0.48, p < 0.001) and the best predictor for allometric LAI was the single band reflectance at red spectral region (ρ = −0.52, p < 0.001) outperforming all studied vegetation indices. It suggests that Sentinel-2 MSI bands with higher spatial resolution (10 m pixel size) could be more beneficial than increased spectral resolution for monitoring forest LAI and age. The new index R 751 /R 736 originally developed for leaf chlorophyll content estimation, also performed well at the canopy level and was mainly influenced by the location of red edge inflection point (ρ = 0.99, p < 0.001) providing similar info in a simpler mathematical form and using a narrow spectral region very close to the O 2 -A Fraunhofer line.

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Section: Correlation Between Single Band Reflectance Factors and Specmentioning

confidence: 88%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Reflectance Properties of Hemiboreal Mixed Forest Canopies with Focus on Red Edge and Near Infrared Spectral Regions

et al. 2019

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“…Control and drought groups for both maize hybrids showed less reflectance in the 500-700 nm (VIS) range compared to that of RDX. This range represents chlorophyll a and b, carotenoids, and accessory pigments and is used as a non-destructive method to derive pigment concentrations [36]. RDX has been shown to cause reductions in chlorophyll concentrations [13,14] which can be interpreted as increases in reflectance in VIS wavelengths.…”

Section: Discussionmentioning

confidence: 99%

Remote Sensing of Explosives-Induced Stress in Plants: Hyperspectral Imaging Analysis for Remote Detection of Unexploded Threats

et al. 2019

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Explosives contaminate millions of hectares from various sources (partial detonations, improper storage, and release from production and transport) that can be life-threatening, e.g., landmines and unexploded ordnance. Exposure to and uptake of explosives can also negatively impact plant health, and these factors can be can be remotely sensed. Stress induction was remotely sensed via a whole-plant hyperspectral imaging system as two genotypes of Zea mays, a drought-susceptible hybrid and a drought-tolerant hybrid, and a forage Sorghum bicolor were grown in a greenhouse with one control group, one group maintained at 60% soil field capacity, and a third exposed to 250 mg kg −1 Royal Demolition Explosive (RDX). Green-Red Vegetation Index (GRVI), Photochemical Reflectance Index (PRI), Modified Red Edge Simple Ratio (MRESR), and Vogelmann Red Edge Index 1 (VREI1) were reduced due to presence of explosives. Principal component analyses of reflectance indices separated plants exposed to RDX from control and drought plants. Reflectance of Z. mays hybrids was increased from RDX in green and red wavelengths, while reduced in near-infrared wavelengths. Drought Z. mays reflectance was lower in green, red, and NIR regions. S. bicolor grown with RDX reflected more in green, red, and NIR wavelengths. The spectra and their derivatives will be beneficial for developing explosive-specific indices to accurately identify plants in contaminated soil. This study is the first to demonstrate potential to delineate subsurface explosives over large areas using remote sensing of vegetation with aerial-based hyperspectral systems.in soil and is highly mobile unlike TNT and has entered groundwater sources of some communities around military bases [5]. With almost 2000 sites at closed military bases contaminated with UXO, explosives contamination at military testing sites also complicate base conversions after closure [6,7]. Over the course of years of being in soil, ordnance casings containing RDX degrade from contact with water in the form of rain and soil moisture [8]. The sheer volume and diversity of fugitive compounds in the subsurface drives the need for a novel technique that accurately locates contaminants and will allow for safe and rapid remediation.Plants can be used as sentinels to discover what lies in soil beneath the surface. Roots spread out in the subsurface and acquire water, nutrients, and many chemicals present in subsurface soil and groundwater, thereby acting as an in-situ sampling tool. Chemical testing of plant tissues has shown that plants can act as chemical samplers [9] and that uptake is predicted by physio-chemical properties [10]. Compounds that can cross root membranes may cause stress by altering physiological and morphological characteristics, e.g., chlorophyll reductions, decreased stomatal conductance, increased fluorescence, and reduced biomass. Explosives enter plants by crossing root membranes via bulk water transport and are either stored in roots or translocated to leaves where they accumulate [11][12...

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“…The paper by Hallik et al (2017) focuses on relationships between leaf pigment contents and spectral vegetation indices using a chemically and structurally large dataset sampled in Mallorca, Balearic Islands. The dataset covers plants from mesic environments as well as from highly stressed environments supporting plants with unique leaf optical properties.…”

Section: This Special Issuementioning

confidence: 99%

Indicators of climate change adaptation from molecules to ecosystems

2017

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Generality of relationships between leaf pigment contents and spectral vegetation indices in Mallorca (Spain)

Cited by 41 publications

References 69 publications

Reflectance Properties of Hemiboreal Mixed Forest Canopies with Focus on Red Edge and Near Infrared Spectral Regions

Reflectance Properties of Hemiboreal Mixed Forest Canopies with Focus on Red Edge and Near Infrared Spectral Regions

Remote Sensing of Explosives-Induced Stress in Plants: Hyperspectral Imaging Analysis for Remote Detection of Unexploded Threats

Indicators of climate change adaptation from molecules to ecosystems

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