33 research outputs found

    Canopy Level Chlorophyll Fluorescence and the PRI in a Cornfield

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    Two bio-indicators, the Photochemical Reflectance Index (PRI) and solar-induced red and far-red Chlorophyll Fluorescence (SIF), were derived from directional hyperspectral observations and studied in a cornfield on two contrasting days in the growing season. Both red and far-red SIF exhibited higher values on the day when the canopy in the early senescent stage, but only the far-red SIF showed sensitivity to viewing geometry. Consequently, the red/far-red SIF ratio varied greatly among azimuth positions while the largest values were obtained for the "hotspot" at both growth stages. This ratio was lower (approx.0.88 +/- 0.4) in early July than in August when the ratio approached equivalence (near approx.1). In concert, the PRI exhibited stronger responses to both zenith and azimuth angles and different values on the two growth stages. The potential of using these indices to monitor photosynthetic activities needs further investigatio

    Ground-Based Measurements and Validation Protocols for Flex

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    The upcoming ESA Fluorescence Explorer (FLEX) mission will incorporate ground-based validations for fluorescence parameters and reflectance indices, drawing on an international network of sensors located at eddy covariance tower sites. A program has been initiated by the OPTIMISE program to develop methods and protocols for this network. A sensor system suite under evaluation by OPTIMISE includes the FLoX hyperspectral spectroradiometers. The NASA team at GSFC is participating in this experiment and we report first results from the 2017 summer measurements made above the canopy at the USDA/ARS Beltsville cornfield using the DFLoX and two other leaf-level measurement systems, the MONI-PAM and the FluoWat

    ๋‘ ๊ฐœ์˜ ๊ธฐํ•˜ํ•™์  ๊ด€์ฐฐ ๊ตฌ์„ฑ์„ ํ†ตํ•ฉํ•˜๋Š” ์ž๋™ํ™”๋œ ์ง€์ƒ ๊ธฐ๋ฐ˜ ์ดˆ ๋ถ„๊ด‘ ์‹œ์Šคํ…œ ๊ฐœ๋ฐœ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๋†์—…์ƒ๋ช…๊ณผํ•™๋Œ€ํ•™ ํ˜‘๋™๊ณผ์ • ๋†๋ฆผ๊ธฐ์ƒํ•™, 2022. 8. ๋ฅ˜์˜๋ ฌ.Hyperspectral remote sensing is becoming a powerful tool for monitoring vegetation structure and functions. Especially, Sun-Induced chlorophyll fluorescence (SIF) and canopy reflectance monitoring have been widely used to understand physiological and structural changes in plants, and field spectroscopy has become established as an important technique for providing high spectral-, temporal resolution in-situ data as well as providing a means of scaling-up measurements from small areas to large areas. Recently, several tower-based remote sensing systems have been developed. However, in-situ studies have only monitored either BRF or BHR and there is still a lack of understanding of the geometric and optical differences in remote sensing observations, particularly between hemispheric-conical and bi-hemispheric configurations. Here, we developed an automated ground-based field spectroscopy system measuring far-red SIF and canopy hyperspectral reflectance (400โ€“900โ€ฏnm) with hemispherical-conical as well as bi-hemispherical configuration. To measure both bi-hemispherical and hemispherical-conical reflectance, we adopted a rotating prism by using a servo motor to face three types of ports that measure incoming-, outgoing irradiance and outgoing radiance. A white diffuse glass and collimating lens were used to measure the irradiance, and a collimating lens was used to measure the radiance with a field of view of 20 degrees. Additionally, we developed data management protocol that includes radiometric-, and wavelength calibrations. Finally, we report how BRF and BHR data differ in this system and investigated SIF and vegetation index from both hemispherical-conical and bi-hemispherical observation configurations for their ability to track GPP in the growing seasons of a deciduous broad-leaved forests.์ดˆ ๋ถ„๊ด‘ ์›๊ฒฉ ๊ฐ์ง€๋Š” ์‹์ƒ ๊ตฌ์กฐ์™€ ๊ธฐ๋Šฅ์„ ๋ชจ๋‹ˆํ„ฐ๋งํ•˜๋Š” ๊ฐ•๋ ฅํ•œ ๋„๊ตฌ๊ฐ€ ๋˜๊ณ  ์žˆ๋‹ค. ํŠนํžˆ, ์‹๋ฌผ์˜ ์ƒ๋ฆฌ์ , ๊ตฌ์กฐ์  ๋ณ€ํ™”๋ฅผ ์ดํ•ดํ•˜๊ธฐ ์œ„ํ•ด ํƒœ์–‘๊ด‘ ์œ ๋„ ์—ฝ๋ก์†Œ ํ˜•๊ด‘ (SIF)๊ณผ ์บ๋…ธํ”ผ ๋ฐ˜์‚ฌ์œจ ๋ชจ๋‹ˆํ„ฐ๋ง์ด ๋„๋ฆฌ ์ด์šฉ๋˜๊ณ  ์žˆ๋‹ค. ํ˜„์žฅ ๋ถ„๊ด‘๋ฒ•์€ ๋†’์€ ์ŠคํŽ™ํŠธ๋Ÿผ, ์‹œ๊ฐ„ ๋ถ„ํ•ด๋Šฅ ํ˜„์žฅ ๋ฐ์ดํ„ฐ๋ฅผ ์ œ๊ณตํ•˜๊ณ  ์ž‘์€ ์˜์—ญ์—์„œ ํฐ ์˜์—ญ์œผ๋กœ ์ธก์ •์„ ํ™•์žฅํ•˜๋Š” ์ˆ˜๋‹จ์„ ์ œ๊ณตํ•˜๊ธฐ ์œ„ํ•œ ์ค‘์š”ํ•œ ๊ธฐ์ˆ ๋กœ ํ™•๋ฆฝ๋˜์—ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ์ˆ˜๋งŽ์€ ์—ฐ๊ตฌ๊ฐ€ ํ˜„์žฅ ๋ถ„๊ด‘ ์‹œ์Šคํ…œ์„ ๊ฐœ๋ฐœํ–ˆ์ง€๋งŒ, ๋ฐ˜๊ตฌ-์›์ถ”ํ˜• ๋ฐ ์–‘ ๋ฐ˜๊ตฌ ๊ตฌ์„ฑ ๊ฐ„์˜ ์›๊ฒฉ ๊ฐ์ง€ ๊ด€์ฐฐ์˜ ๊ธฐํ•˜ํ•™์  ๋ฐ ๊ด‘ํ•™์  ์ฐจ์ด์— ๋Œ€ํ•œ ์ดํ•ด๊ฐ€ ๋ถ€์กฑํ•  ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ดˆ ๋ถ„๊ด‘ ๋ฐ์ดํ„ฐ๋ฅผ ์ง€์†์ ์œผ๋กœ ์ˆ˜์ง‘ํ•˜๋Š” ๊ฒƒ์€ ์—ฌ์ „ํžˆ ์–ด๋ ต๋‹ค. ์šฐ๋ฆฌ๋Š” ๋ฐ˜๊ตฌํ˜•-์›์ถ”ํ˜• ๋ฐ ์ด์ค‘ ๋ฐ˜๊ตฌํ˜• ๊ตฌ์„ฑ์œผ๋กœ ์›์ ์™ธ์„  ํƒœ์–‘๊ด‘ ์œ ๋„ ์—ฝ๋ก์†Œ ํ˜•๊ด‘ ๋ฐ ์บ๋…ธํ”ผ ์ดˆ ๋ถ„๊ด‘ ๋ฐ˜์‚ฌ์œจ(400โ€“900nm)์„ ์ธก์ •ํ•˜๋Š” ์ž๋™ํ™”๋œ ์ง€์ƒ ๊ธฐ๋ฐ˜ ํ•„๋“œ ๋ถ„๊ด‘ ์‹œ์Šคํ…œ์„ ๊ฐœ๋ฐœํ–ˆ๋‹ค. ์–‘๋ฐฉํ–ฅ ๋ฐ˜์‚ฌ์œจ๊ณผ ๋ฐ˜๊ตฌํ˜• ์›์ถ”ํ˜• ๋ฐ˜์‚ฌ์œจ์„ ๋ชจ๋‘ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•ด ์„œ๋ณด ๋ชจํ„ฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ”„๋ฆฌ์ฆ˜์„ ํšŒ์ „ํ•˜์—ฌ ์„ธ๊ฐ€์ง€ ํƒ€์ž…์˜ ํฌํŠธ๋ฅผ ์ธก์ •ํ•œ๋‹ค. ๊ฐ ํฌํŠธ๋Š” ๋“ค์–ด์˜ค๋Š” ๋ณต์‚ฌ ์กฐ๋„, ๋‚˜๊ฐ€๋Š” ๋ณต์‚ฌ ์กฐ๋„ ๋ฐ ๋‚˜๊ฐ€๋Š” ๋ณต์‚ฌ๋ฅผ ์ธก์ •ํ•˜๋Š” ์„ธ ๊ฐ€์ง€ ์œ ํ˜•์˜ ํฌํŠธ๋‹ค. ์กฐ์‚ฌ์กฐ๋„๋Š” ๋ฐฑ์ƒ‰ํ™•์‚ฐ์œ ๋ฆฌ์™€ ๊ตด์ ˆ ๋ Œ์ฆˆ๋ฅผ ์‚ฌ์šฉํ•˜์˜€๊ณ , ๊ตด์ ˆ ๋ Œ์ฆˆ๋ฅผ ์ด์šฉํ•˜์—ฌ ์กฐ๋„๋ฅผ ์ธก์ •ํ•˜์˜€๋‹ค. ๋˜ํ•œ, ์šฐ๋ฆฌ๋Š” ๋ฐฉ์‚ฌ ์ธก์ • ๋ฐ ํŒŒ์žฅ ๊ต์ •์„ ํฌํ•จํ•˜๋Š” ๋ฐ์ดํ„ฐ ๊ด€๋ฆฌ ํ”„๋กœํ† ์ฝœ์„ ๊ฐœ๋ฐœํ–ˆ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ์šฐ๋ฆฌ๋Š” ๋‚™์—ฝ ํ™œ์—ฝ์ˆ˜๋ฆผ์˜ ์„ฑ์žฅ๊ธฐ์— ์ด ์‹œ์Šคํ…œ์—์„œ ์ธก์ •๋œ BRF์™€ BHR ๋ฐ์ดํ„ฐ๊ฐ€ ์–ด๋–ป๊ฒŒ ๋‹ค๋ฅธ์ง€ ๋ณด๊ณ ํ•˜์˜€๋‹ค.Chapter 1. Introduction ๏ผ‘ 1.1. Study Background ๏ผ‘ 1.2. Purpose of Research ๏ผ” Chapter 2. Developing and Testing of Hyperspectral System ๏ผ• 2.1 Development of Hyperspectral System and Data Collecting ๏ผ• 2.1.1 The Central Control Unit and Spectrometer ๏ผ• 2.1.2 RotaPrism ๏ผ— 2.1.3 Data Collection ๏ผ™ 2.3 Data Managing and Processing ๏ผ‘๏ผ‘ 2.3.1 Preprocessing of Spectra ๏ผ‘๏ผ‘ 2.3.2 Radiometric Calibration ๏ผ‘๏ผ“ 2.3.3 Retrieval of SIF and Vegetation Indices ๏ผ‘๏ผ• 2.4 Ancillary Measurements to Monitoring Ecosystem. ๏ผ‘๏ผ— Chapter 3. Application of Hyperspectral System ๏ผ‘๏ผ™ 3.1 Study Site ๏ผ‘๏ผ™ 3.2 Diurnal and Variation of Spectral Reflectance and SIF ๏ผ’๏ผ 3.3 Seasonal Variation of Vegetation Index and SIF ๏ผ’๏ผ’ 3.4 Broader Implications ๏ผ’๏ผ” Chapter 4. Summary and Conclusions ๏ผ’๏ผ– Bibliography ๏ผ’๏ผ˜์„

    The Photochemical Reflectance Index from Directional Cornfield Reflectances: Observations and Simulations

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    The two-layer Markov chain Analytical Canopy Reflectance Model (ACRM) was linked with in situ hyperspectral leaf optical properties to simulate the Photochemical Reflectance Index (PRI) for a corn crop canopy at three different growth stages. This is an extended study after a successful demonstration of PRI simulations for a cornfield previously conducted at an early vegetative growth stage. Consistent with previous in situ studies, sunlit leaves exhibited lower PRI values than shaded leaves. Since sunlit (shaded) foliage dominates the canopy in the reflectance hotspot (coldspot), the canopy PRI derived from field hyperspectral observations displayed sensitivity to both view zenith angle and relative azimuth angle at all growth stages. Consequently, sunlit and shaded canopy sectors were most differentiated when viewed along the azimuth matching the solar principal plane. These directional PRI responses associated with sunlit/shaded foliage were successfully reproduced by the ACRM. As before, the simulated PRI values from the current study were closer to in situ values when both sunlit and shaded leaves were utilized as model input data in a two-layer mode, instead of a one-layer mode with sunlit leaves only. Model performance as judged by correlation between in situ and simulated values was strongest for the mature corn crop (r = 0.87, RMSE = 0.0048), followed by the early vegetative stage (r = 0.78; RMSE = 0.0051) and the early senescent stage (r = 0.65; RMSE = 0.0104). Since the benefit of including shaded leaves in the scheme varied across different growth stages, a further analysis was conducted to investigate how variable fractions of sunlit/shaded leaves affect the canopy PRI values expected for a cornfield, with implications for 20 remote sensing monitoring options. Simulations of the sunlit to shaded canopy ratio near 50/50 +/- 10 (e.g., 60/40) matching field observations at all growth stages were examined. Our results suggest in the importance of the sunlit/shaded fraction and canopy structure in understanding and interpreting PRI

    CEFLES2: the remote sensing component to quantify photosynthetic efficiency from the leaf to the region by measuring sun-induced fluorescence in the oxygen absorption bands

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    The CEFLES2 campaign during the Carbo Europe Regional Experiment Strategy was designed to provide simultaneous airborne measurements of solar induced fluorescence and CO2 fluxes. It was combined with extensive ground-based quantification of leaf- and canopy-level processes in support of ESA's Candidate Earth Explorer Mission of the "Fluorescence Explorer" (FLEX). The aim of this campaign was to test if fluorescence signal detected from an airborne platform can be used to improve estimates of plant mediated exchange on the mesoscale. Canopy fluorescence was quantified from four airborne platforms using a combination of novel sensors: (i) the prototype airborne sensor AirFLEX quantified fluorescence in the oxygen A and B bands, (ii) a hyperspectral spectrometer (ASD) measured reflectance along transects during 12 day courses, (iii) spatially high resolution georeferenced hyperspectral data cubes containing the whole optical spectrum and the thermal region were gathered with an AHS sensor, and (iv) the first employment of the high performance imaging spectrometer HYPER delivered spatially explicit and multi-temporal transects across the whole region. During three measurement periods in April, June and September 2007 structural, functional and radiometric characteristics of more than 20 different vegetation types in the Les Landes region, Southwest France, were extensively characterized on the ground. The campaign concept focussed especially on quantifying plant mediated exchange processes (photosynthetic electron transport, CO2 uptake, evapotranspiration) and fluorescence emission. The comparison between passive sun-induced fluorescence and active laser-induced fluorescence was performed on a corn canopy in the daily cycle and under desiccation stress. Both techniques show good agreement in detecting stress induced fluorescence change at the 760 nm band. On the large scale, airborne and ground-level measurements of fluorescence were compared on several vegetation types supporting the scaling of this novel remote sensing signal. The multi-scale design of the four airborne radiometric measurements along with extensive ground activities fosters a nested approach to quantify photosynthetic efficiency and gross primary productivity (GPP) from passive fluorescence

    Response of green reflectance continuum removal index to the xanthophyll de-epoxidation cycle in Norway spruce needles

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    A dedicated field experiment was conducted to investigate the response of a green reflectance continuum removal-based optical index, called area under the curve normalized to maximal band depth between 511nm and 557nm (ANMB511-557), to light-induced transformations in xanthophyll cycle pigments of Norway spruce [Picea abies (L.) Karst] needles. The performance of ANMB511-557 was compared with the photochemical reflectance index (PRI) computed from the same leaf reflectance measurements. Needles of four crown whorls (fifth, eighth, 10th, and 15th counted from the top) were sampled from a 27-year-old spruce tree throughout a cloudy and a sunny day. Needle optical properties were measured together with the composition of the photosynthetic pigments to investigate their influence on both optical indices. Analyses of pigments showed that the needles of the examined whorls varied significantly in chlorophyll content and also in related pigment characteristics, such as the chlorophyll/carotenoid ratio. The investigation of the ANMB511-557 diurnal behaviour revealed that the index is able to follow the dynamic changes in the xanthophyll cycle independently of the actual content of foliar pigments. Nevertheless, ANMB511-557 lost the ability to predict the xanthophyll cycle behaviour during noon on the sunny day, when the needles were exposed to irradiance exceeding 1000 ยตmol m-2 s-1. Despite this, ANMB511-557 rendered a better performance for tracking xanthophyll cycle reactions than PRI. Although declining PRI values generally responded to excessive solar irradiance, they were not able to predict the actual de-epoxidation state in the needles examine

    Diurnal and Seasonal Solar Induced Chlorophyll Fluorescence and Photosynthesis in a Boreal Scots Pine Canopy

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    Solar induced chlorophyll fluorescence has been shown to be increasingly an useful proxy for the estimation of gross primary productivity (GPP), at a range of spatial scales. Here, we explore the seasonality in a continuous time series of canopy solar induced fluorescence (hereafter SiF) and its relation to canopy gross primary production (GPP), canopy light use efficiency (LUE), and direct estimates of leaf level photochemical efficiency in an evergreen canopy. SiF was calculated using infilling in two bands from the incoming and reflected radiance using a pair of Ocean Optics USB2000+ spectrometers operated in a dual field of view mode, sampling at a 30 min time step using custom written automated software, from early spring through until autumn in 2011. The optical system was mounted on a tower of 18 m height adjacent to an eddy covariance system, to observe a boreal forest ecosystem dominated by Scots pine. (Pinus sylvestris) A Walz MONITORING-PAM, multi fluorimeter system, was simultaneously mounted within the canopy adjacent to the footprint sampled by the optical system. Following correction of the SiF data for O2 and structural effects, SiF, SiF yield, LUE, the photochemicsl reflectance index (PRI), and the normalized difference vegetation index (NDVI) exhibited a seasonal pattern that followed GPP sampled by the eddy covariance system. Due to the complexities of solar azimuth and zenith angle (SZA) over the season on the SiF signal, correlations between SiF, SiF yield, GPP, and LUE were assessed on SZ

    Diurnal and Seasonal Variations in Chlorophyll Fluorescence Associated with Photosynthesis at Leaf and Canopy Scales

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    There is a critical need for sensitive remote sensing approaches to monitor the parameters governing photosynthesis, at the temporal scales relevant to their natural dynamics. The photochemical reflectance index (PRI) and chlorophyll fluorescence (F) offer a strong potential for monitoring photosynthesis at local, regional, and global scales, however the relationships between photosynthesis and solar induced F (SIF) on diurnal and seasonal scales are not fully understood. This study examines how the fine spatial and temporal scale SIF observations relate to leaf level chlorophyll fluorescence metrics (i.e., PSII yield, YII and electron transport rate, ETR), canopy gross primary productivity (GPP), and PRI. The results contribute to enhancing the understanding of how SIF can be used to monitor canopy photosynthesis. This effort captured the seasonal and diurnal variation in GPP, reflectance, F, and SIF in the O2A (SIFA) and O2B (SIFB) atmospheric bands for corn (Zea mays L.) at a study site in Greenbelt, MD. Positive linear relationships of SIF to canopy GPP and to leaf ETR were documented, corroborating published reports. Our findings demonstrate that canopy SIF metrics are able to capture the dynamics in photosynthesis at both leaf and canopy levels, and show that the relationship between GPP and SIF metrics differs depending on the light conditions (i.e., above or below saturation level for photosynthesis). The sum of SIFA and SIFB (SIFA+B), as well as the SIFA+B yield, captured the dynamics in GPP and light use efficiency, suggesting the importance of including SIFB in monitoring photosynthetic function. Further efforts are required to determine if these findings will scale successfully to airborne and satellite levels, and to document the effects of data uncertainties on the scaling

    Investigation of atmospheric effects on retrieval of sun-induced fluorescence using hyperspectral imagery

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    Significant research progress has recently been made in estimating fluorescence in the oxygen absorption bands, however, quantitative retrieval of fluorescence data is still affected by factors such as atmospheric effects. In this paper, top-of-atmosphere (TOA) radiance is generated by the MODTRAN 4 and SCOPE models. Based on simulated data, sensitivity analysis is conducted to assess the sensitivities of four indicatorsโ€”depth_absorption_band, depth_nofs-depth_withfs, radiance and Fs/radianceโ€”to atmospheric parameters (sun zenith angle (SZA), sensor height, elevation, visibility (VIS) and water content) in the oxygen absorption bands. The results indicate that the SZA and sensor height are the most sensitive parameters and that variations in these two parameters result in large variations calculated as the variation value/the base value in the oxygen absorption depth in the O2-A and O2-B bands (111.4% and 77.1% in the O2-A band; and 27.5% and 32.6% in the O2-B band, respectively). A comparison of fluorescence retrieval using three methods (Damm method, Braun method and DOAS) and SCOPE Fs indicates that the Damm method yields good results and that atmospheric correction can improve the accuracy of fluorescence retrieval. Damm method is the improved 3FLD method but considering atmospheric effects. Finally, hyperspectral airborne images combined with other parameters (SZA, VIS and water content) are exploited to estimate fluorescence using the Damm method and 3FLD method. The retrieval fluorescence is compared with the field measured fluorescence, yielding good results (R2 = 0.91 for Damm vs. SCOPE SIF; R2 = 0.65 for 3FLD vs. SCOPE SIF). Five types of vegetation, including ailanthus, elm, mountain peach, willow and Chinese ash, exhibit consistent associations between the retrieved fluorescence and field measured fluorescence
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