Search results for "reflectivity"

showing 10 items of 130 documents

Simulation of citrus orchard reflectance by means of a geometrical canopy model

1994

Computer simulation of the reflectance for citrus crops, by using a geometrical canopy model, has been carried out to analyse and interpret the reflectance values from Landsat-5 Thematic Mapper (TM...

CanopyThematic MapperComputer aidGeneral Earth and Planetary SciencesEnvironmental scienceOrchardReflectivityMultispectral ScannerRemote sensingCitrus fruitCitrus orchardInternational Journal of Remote Sensing
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Relating Hyperspectral Airborne Data to Ground Measurements in a Complex and Discontinuous Canopy

2015

The work described in this paper is aimed at validating hyperspectral airborne reflectance data collected during the Regional Experiments For Land-atmosphere EXchanges (REFLEX) campaign. Ground reflectance data measured in a vineyard were compared with airborne reflectance data. A sampling strategy and subsequent ground data processing had to be devised so as to capture a representative spectral sample of this complex crop. A linear model between airborne and ground data was tried and statistically tested. Results reveal a sound correspondence between ground and airborne reflectance data (R2 > 0.97), validating the atmospheric correction of the latter.

CanopyvalidationData processing010504 meteorology & atmospheric sciencesMeteorologyhyperspectral remote sensingAtmospheric correctionAHSreflectance field spectrometryHyperspectral imagingSampling (statistics)15. Life on land010502 geochemistry & geophysics01 natural sciencesReflectivityGeophysicsEnvironmental science0105 earth and related environmental sciencesRemote sensingActa Geophysica
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From Spherical Mesopores to Worm-Shaped Mesopores : Morphology Transition in Titania–Polystyrene-b-poly(ethylene oxide) Composite Films with Increasi…

2013

A morphology transition from spherical mesopores to worm-shaped mesopores within titania block copolymer composite thin films has been observed by varying the sol–gel reaction time from 40 min to 48 h in the four-component templating system of polystyrene-$\mathit{b}$-poly(ethylene oxide) (PS-$\mathit{b}$-PEO), 1,4-dioxane, concentrated HCl, and titanium tetraisopropoxide (TTIP) with a PS-$\mathit{b}$-PEO mass concentration of 0.25 wt.-%. The impact of the sol–gel reaction time on the local structure, long-range lateral structure, and vertical structure of the as-prepared, calcined, and UV-degraded thin films as well as the structural changes in solution have been systematically investigate…

ChemieNanotechnologyMicellelaw.inventionInorganic ChemistryX-ray reflectivitychemistry.chemical_compoundDynamic light scatteringchemistryChemical engineeringlawddc:540Grazing-incidence small-angle scatteringCalcinationPolystyreneMesoporous materialSol-gel
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Tieftemperatur-Remissionsspektren oktaedrisch koordinierter Cu2+ -Ionen im Ligandenfeldbereich / Low temperature reflectance spectra of octahedrally …

1973

Abstract The ligand field reflectance spectra of octahedrally coordinated Cu2+-ions in different host lattices and at different temperature (300 °K - 4 °K) are critically compared. Especially the band shifts with decreasing temperature are analysed with respect to transitions from a dynamical to a static Jahn-Teller effect (macroscopic Jahn -Teller distortion of the lattice). In addition the square planar coordination of Cu2+ is discussed and alternative descriptions in the crystal field formalism and the angular overlap model are given.

ChemistryCu2 ionsAnalytical chemistryGeneral Physics and AstronomyPhysical and Theoretical ChemistryReflectivityMathematical PhysicsSpectral lineZeitschrift für Naturforschung A
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A multi-temporal study of chlorophyll-a concentration in the Albufera lagoon of Valencia, Spain, using Thematic Mapper data

1990

Abstract A multi-temporal study of chlorophyll-a concentration, has been made by means of Landsat-5 Thematic Mapper (TM) band 1 (0·45-0·52μm) in the Albufera of Valencia, a hypertrophic lagoon of shallow depth. The relationship between this parameter and satellite data was set up from in situ measurements and concurrent satellite data obtained in a campaign from 22 July 1985. This relation has been applied to images of different dates by using a simple procedure of correction, which is based on the use of selected surfaces whose ground reflectance is assumed to be constant with time. Good results were obtained and chlorophyll-a concentrations have been determined with an error of 20 per cen…

Chlorophyll achemistry.chemical_compoundchemistrybiologyThematic MapperSatellite dataGeneral Earth and Planetary SciencesEnvironmental sciencebiology.organism_classificationReflectivityValenciaRemote sensingInternational Journal of Remote Sensing
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Towards the quantitative and physically-based interpretation of solar-induced vegetation fluorescence retrieved from global imaging

2021

Due to emerging high spectral resolution, remote sensing techniques and ongoing developments to retrieve the spectrally resolved vegetation fluorescence spectrum from several scales, the light reactions of photosynthesis are receiving a boost of attention for the monitoring of the Earth's carbon balance. Sensor-retrieved vegetation fluorescence (from leaf, tower, airborne or satellite scale) originating from the excited antenna chlorophyll a molecule has become a new quantitative biophysical vegetation parameter retrievable from space using global imaging techniques. However, to retrieve the actual quantum efficiencies, and hence a true photosynthetic status of the observed vegetation, all …

Chlorophyll aquantitative remote sensingPhysiologyEnergy transferBotanyPlant Sciencephotosynthesis monitoringReflectivityFluorescencechemistry.chemical_compoundchemistryQK1-989fluorescence quantum efficiencymedicineEnvironmental scienceflex-sentinel-3 tandem missionSatelliteSpectral resolutionmedicine.symptomScale (map)Vegetation (pathology)Remote sensingPhotosynthetica
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Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content

2011

ESA’s upcoming satellite Sentinel-2 will provide Earth images of high spatial, spectral and temporal resolution and aims to ensure continuity for Landsat and SPOT observations. In comparison to the latter sensors, Sentinel-2 incorporates three new spectral bands in the red-edge region, which are centered at 705, 740 and 783 nm. This study addresses the importance of these new bands for the retrieval and monitoring of two important biophysical parameters: green leaf area index (LAI) and chlorophyll content (Ch). With data from several ESA field campaigns over agricultural sites (SPARC, AgriSAR, CEFLES2) we have evaluated the efficacy of two empirical methods that specifically make use of the…

ChlorophyllChlorophyll contentMean squared errorRed edgelcsh:Chemical technologyBiochemistrySentinel-2; chlorophyll; LAI; NAOC; NDI; red-edgeGreen leafArticleNDIAnalytical Chemistryred-edgelcsh:TP1-1185Electrical and Electronic EngineeringSpacecraftInstrumentationRemote sensingNAOCHyperspectral imagingSpectral bandsReflectivityAtomic and Molecular Physics and OpticsLAIPlant LeavesSpectrophotometryTemporal resolutionEnvironmental scienceSentinel-2Sensors (Basel, Switzerland)
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Comparison of metrics to remove the influence of geometrical conditions on soil reflectance

2007

The objective of this work is to find the best metric to ignore the variations of soil reflectance induced by the solar-view angles geometry. Differences between spectra measured for the same soil under different observation and illumination configurations can leads to misclassifications. Using ninety two soils of different composition measured under twenty eight solar- view angles geometries, we tested 3 metrics : RMSE, SAM, R2 (the coefficient of determination) and we compared their performances. The best metric seems to be the coefficient of determination with 93 % of good classifications.

Coefficient of determinationMean squared errorSoil waterMultispectral imageMetric (mathematics)Surface roughnessHyperspectral imagingReflectivityRemote sensingMathematics2007 IEEE International Geoscience and Remote Sensing Symposium
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A comparison of STARFM and an unmixing-based algorithm for Landsat and MODIS data fusion

2015

article i nfo The focus of the current study is to compare data fusion methods applied to sensors with medium- and high- spatial resolutions. Two documented methods are applied, the spatial and temporal adaptive reflectance fusion model (STARFM) and an unmixing-based method which proposes a Bayesian formulation to incorporate prior spectral information.Furthermore, thestrengths of both algorithms arecombined ina novel data fusionmethod: the Spatial and Temporal Reflectance Unmixing Model (STRUM). The potential of each method is demonstrated using simulation imagery and Landsat and MODIS imagery. The theoretical basis of the algorithms causes STARFM and STRUM to produce Landsat-like reflecta…

Computer scienceBayesian formulationSpatial ecologySoil ScienceGeologyMETIS-308148Computers in Earth SciencesSensor fusionFocus (optics)ReflectivityAlgorithmNormalized Difference Vegetation IndexRemote sensingRemote Sensing of Environment
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MULTISPECTRAL VENOUS IMAGES ANALYSIS FOR OPTIMUM ILLUMINATION SELECTION

2013

International audience; Intravenous (IV) catheterization is the most important phase in medical practices of daily life. It is hard to localize veins in patients who have deep veins, minor age or dark skin; hence multiple attempts become indispensable for proper catheterization in such cases. Near Infrared (NIR) Imaging allow to visualize the veins underneath the skin of persons having non-visibility of veins problem. This paper reports the pre-selection of illuminants that ensure best veins/tissues contrast for patients having different skin tone. The sample subjects have been divided in four different classes based on the Luminance value of their skin tone in order to extract the best ill…

Computer sciencebusiness.industrymedia_common.quotation_subjectNear-infrared spectroscopyMultispectral imageDark skinStandard illuminantSkin tone01 natural sciencesLuminanceReflectivity010309 optics03 medical and health sciences0302 clinical medicine[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]0103 physical sciences[ INFO.INFO-TI ] Computer Science [cs]/Image ProcessingContrast (vision)Computer visionIn patientArtificial intelligencebusiness030217 neurology & neurosurgerymedia_common
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