scholarly journals Monitoring drought response and chlorophyll content in Quercus by consumer-grade, near-infrared (NIR) camera: a comparison with reflectance spectroscopy

New Forests ◽  
2021 ◽  
Author(s):  
Sabrina Raddi ◽  
Francesca Giannetti ◽  
Sofia Martini ◽  
Fabio Farinella ◽  
Gherardo Chirici ◽  
...  

AbstractA user-friendly and affordable broad-band digital Near Infrared (NIR) camera (Canon PowerShot S110 NIR) was compared with a narrow-band reflectance spectrometer (USB2000, Ocean Optics) at leaf scale for monitoring changes in response to drought of three ecologically contrasting Quercus species (Q. robur, Q. pubescens, and Q. ilex). We aimed to (a) compare vegetation indices (VIs; that is: NDVI, Normalized Difference Vegetation Index; GNDVI, Green NDVI and NIRv, near-infrared reflectance of vegetation) retrieved by NIR-camera and spectrometer in order to test the reliability of a simple, low-cost, and rapid setup for widespread field applications; (b) to assess if NIR-camera VIs might be used to quantify water stress in oak seedlings; and (c) to track changes in leaf chlorophyll content. The study was carried out during a water stress test on 1-year-old seedlings in a greenhouse. The camera detected plant status in response to drought with results highly comparable to the visible/NIR (VIS/NIR) spectrometer (by calibration and standard geometry). Consistency between VIs and morpho-physiological traits was higher in Q. robur, the most drought-sensitive among the three species. Chlorophyll content was estimated with a high goodness-of-fit by VIs or reflectance bands in the visible range. Overall, NDVI performed better than GNDVI and NIRv, and VIs performed better than single bands. Looking forward, NIR-camera VIs are adequate for the early monitoring of drought stress in oak seedlings (or small trees) in the post-planting phase or in nursery settings, thus offering a new, reliable alternative for when costs are crucial, such as in the context of restoration programs.

Author(s):  
M. Matsuoka ◽  
M. Takagi ◽  
S. Akatsuka ◽  
R. Honda ◽  
A. Nonomura ◽  
...  

Himawari-8/AHI is a new geostationary sensor that can observe the land surface with high temporal frequency. Bidirectional reflectance derived by the Advanced Himawari Imager (AHI) includes information regarding land surface properties such as albedo, vegetation condition, and forest structure. This information can be extracted by modeling bidirectional reflectance using a bidirectional reflectance distribution function (BRDF). In this study, a kernel-driven BRDF model was applied to the red and near infrared reflectance observed over 8 hours during daytime to express intraday changes in reflectance. We compared the goodness of fit for six combinations of model kernels. The Ross-Thin and Ross-Thick kernels were selected as the best volume kernels for the red and near infrared bands, respectively. For the geometric kernel, the Li-sparse-Reciprocal and Li-Dense kernels displayed similar goodness of fit. The coefficient of determination and regression residuals showed a strong dependency on the azimuth angle of land surface slopes and the time of day that observations were made. Atmospheric correction and model adjustment of the terrain were the main issues encountered. These results will help to improve the BRDF model and to extract surface properties from bidirectional reflectance.


1982 ◽  
Vol 62 (4) ◽  
pp. 875-884 ◽  
Author(s):  
RUSSELL TKACHUK ◽  
F. D. KUZINA

Chlorophyll content was determined in whole rapeseed samples, from Regent and Candle cultivars, by using a reflectance technique in the visible and near infrared region. Chlorophyll content was estimated with good accuracy when predicted results for 42 samples of Regent, 37 samples of Candle and 79 samples for both cultivars combined were compared with standard laboratory results. For Regent, a multiple correlation coefficient (R) of 0.944 and a standard error of estimate (Sy) of 4.7 were obtained when reflectance was measured at six wavelengths. For Candle, R = 0.963 and Sy = 4.4, using another six wavelengths. For both cultivars combined, R = 0.939 and Sy = 4.8, again using a different set of six wavelengths. Wavelengths for predicting chlorophyll were selected from the 630-to 754-nm visible region, and from the 1640- to 2176-nm near infrared region. This reflectance method described for whole rapeseed is rapid, involves no sample preparation, and leaves the seed intact and available for other uses.


1986 ◽  
Vol 40 (3) ◽  
pp. 303-310 ◽  
Author(s):  
M. Martens ◽  
H. Martens

Rapid, precise, and relevant methods for predicting the sensory quality of frozen peas were sought. Pea batches chosen to span many different types of quality variations were analyzed by a consumer test, sensory laboratory analysis, and traditional chemical and physical measurements as well as by near-infrared reflectance analysis (NIR). Partial least-squares (PLS) regression was used to reveal the relationships between the different types of measurements. A noise-compensated value, relative ability of prediction (RAP), was used to express the degree of prediction (1.0 = perfect prediction). NIR was found to predict the sensory texture variables (RAP = 0.79) better than the flavor variables (RAP = 0.67). Average consumer preference was less well predicted (RAP = 0.48) by NIR. This was interpretable since NIR gave a better description of the chemical and physical methods relevant for texture (e.g., dry matter (RAP = 0.93)) than the flavor-related variables (e.g., sucrose (RAP = 0.45)) that apparently determine the consumer preference. However, NIR was found to describe the average variation in sensory quality better than the traditional tenderometer value (TV). The highest prediction of sensory variables was obtained by a combination of NIR, TV, and chemical measurements (RAP = 0.87 and 0.80 for texture and flavor variables, respectively). We discuss the predictive validity and the meaning of the present predictive abilities in practice, leading to a conclusion that NIR has a potential for predicting the sensory quality of peas.


1987 ◽  
Vol 109 (3) ◽  
pp. 539-544 ◽  
Author(s):  
G. Z. Wetherill ◽  
I. Murray

SummaryFrequently in near-infrared reflectance spectroscopy, a calibration is developed using very restricted data sets, e.g. material from one season, a small area or of a limited type: consequently, the predictions may have limited validity. This paper describes the use of both restricted and wide calibration sets for the prediction of crude protein in grass, silage and hay. Results show that predictions from the wider calibration sets are often as good as or better than predictions from restricted calibration sets. Therefore the use of wide calibration sets should be considered much more frequently in near-infrared reflectance.


2020 ◽  
Author(s):  
Bernhard Jost ◽  
Paul V. Johnson ◽  
Robert Hodyss

<p><strong>Introduction:</strong> The analysis of evaporites on Europa’s surface will remain the only way to probe its subsurface ocean in near future. The ocean composition, and therefore potential habitability, is assumed to be driven by geophysical/chemical processes on the seafloor.</p> <p>Contrary to previous assumptions, recent observations indicate that chloride salts – rather than sulfate salts - could be Europa’s most abundant non-ice surface species. Nevertheless direct evidence of salt species has been largely inconclusive.</p> <p>The main problem in detecting salts is their spectral nature: most species are spectrally neutral across the visible and infrared wavelength range. The search has therefore to be concentrated on hydrated or radiolytic altered states of minerals.</p> <p>The presence of hydrated salt minerals was proposed after the Galileo mission [1]. Hydrated states of salts usually display characteristic absorption features in the near- and mid IR range. The same is true for Raman scattering.</p> <p>The only hint to the presence of salts in the visible range is the formation of color centers: a crystallographic defect where anionic vacancies are replaced by unpaired electrons, which leads to specific absorption bands. [2] suggested this mechanism as an alternative explanation for Europa's surface coloration, rather than sulfur chemistry.</p> <p>This work will provide the means to interpret the data acquired by future missions to icy worlds such as Europa Clipper and JUICE. Sodium chloride on Europa’s surface may be directly and unambiguously identified, if the characteristic spectral features of hydrohalite or color centers were observed. If features of hydrohalite were found, they would indicate a relatively young terrain.</p> <p><strong>Methods:</strong> We selected sodium chloride dehydrate (hydrohalite; NaCl◦2H<sub>2</sub>O) as candidate material for our study since it is the only stable hydrated state of sodium chloride under Europa conditions and NaCl has been proposed to relatively abundant on Europa. Hydrohalite forms below -0.15°C under varied conditions of NaCl concentrations and water activity.</p> <p>To analyze the hydration state of hydrohalite samples at JPL we use a combination of two different, but complementary techniques: 1. Passive near-infrared reflectance spectroscopy in the 1.4-7.0μm spectral range (Thermo Nicolet 6700 FTIR; Pike Tech DiffusIR) 2. Raman spectroscopy (Horiba Jobin-Yvon LabRam HR). The sample is irradiated using a krypton arc lamp primarily emitting at 116.5 and 123.6nm, however the 116.5nm line is cutoff by the MgF<sub>2</sub> window.</p> <p><strong>Results: </strong>Comparison studies show that the freezing rates of NaCl-brines play a crucial role in hydrohalite formation efficiency. Flash frozen droplets contain a significant lower concentration of hydrohalite than slowly frozen slabs. This finding might be important when comparing exposition scenarios on Europa such as vapour driven plumes or effusive flows.</p> <p>By freezing a saturated brine volume, the hydrohalite crystals are embedded within the ice matrix. Initially the ice suppresses the dehydration process. Only when the ice starts to sublimate at the surface, the non-ice component forms a residue layer of pure hydrohalite, which starts to dehydrate.</p> <p>The formation of color centers has, so far, been observed by UV irradiation and electron irradiation. However, timescales, necessary doses and penetration depth are different.<strong> </strong></p> <p><strong>References:</strong></p> <p>[1] McCord, T.B., et al.: Non-water-ice constituents in the surface material of the icy Galilean satellites from the Galileo near-infrared mapping spectrometer investigation. J. Geophys. Res. 103, pp. 8603-8626, 1998.</p> <p>[2] Hand, K.P. & Carlson, R.W.: Europa's surface color suggests an ocean rich with sodium chloride. Geophys. Res. Lett. 42, p. 3174-3178, 2015.</p>


Author(s):  
M. Matsuoka ◽  
M. Takagi ◽  
S. Akatsuka ◽  
R. Honda ◽  
A. Nonomura ◽  
...  

Himawari-8/AHI is a new geostationary sensor that can observe the land surface with high temporal frequency. Bidirectional reflectance derived by the Advanced Himawari Imager (AHI) includes information regarding land surface properties such as albedo, vegetation condition, and forest structure. This information can be extracted by modeling bidirectional reflectance using a bidirectional reflectance distribution function (BRDF). In this study, a kernel-driven BRDF model was applied to the red and near infrared reflectance observed over 8 hours during daytime to express intraday changes in reflectance. We compared the goodness of fit for six combinations of model kernels. The Ross-Thin and Ross-Thick kernels were selected as the best volume kernels for the red and near infrared bands, respectively. For the geometric kernel, the Li-sparse-Reciprocal and Li-Dense kernels displayed similar goodness of fit. The coefficient of determination and regression residuals showed a strong dependency on the azimuth angle of land surface slopes and the time of day that observations were made. Atmospheric correction and model adjustment of the terrain were the main issues encountered. These results will help to improve the BRDF model and to extract surface properties from bidirectional reflectance.


HortScience ◽  
1995 ◽  
Vol 30 (4) ◽  
pp. 905D-905
Author(s):  
Thomas R. Clarke ◽  
M. Susan Moran

Water application efficiency can be improved by directly monitoring plant water status rather than depending on soil moisture measurements or modeled ET estimates. Plants receiving sufficient water through their roots have cooler leaves than those that are water-stressed, leading to the development of the Crop Water Stress Index based on hand-held infrared thermometry. Substantial error can occur in partial canopies, however, as exposed hot soil contributes to deceptively warm temperature readings. Mathematically comparing red and near-infrared reflectances provides a measure of vegetative cover, and this information was combined with thermal radiance to give a two-dimensional index capable of detecting water stress even with a low percentage of canopy cover. Thermal, red, and near-infrared images acquired over subsurface drip-irrigated cantaloupe fields demonstrated the method's ability to detect areas with clogged emitters, insufficient irrigation rate, and system water leaks.


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