Search results for "Computers in Earth Science"

showing 10 items of 323 documents

Estimating chlorophyll content of crops from hyperspectral data using a normalized area over reflectance curve (NAOC)

2010

Abstract The Normalized Area Over reflectance Curve (NAOC) is proposed as a new index for remote sensing estimation of the leaf chlorophyll content of heterogeneous areas with different crops, different canopies and different types of bare soil. This index is based on the calculation of the area over the reflectance curve obtained by high spectral resolution reflectance measurements, determined, from the integral of the red–near-infrared interval, divided by the maximum reflectance in that spectral region. For this, use has been made of the experimental data of the SPARC campaigns, where in situ measurements were made of leaf chlorophyll content, LAI and fCOVER of 9 different crops – thus, …

CanopyGlobal and Planetary ChangeRadiometerPixelHyperspectral imagingManagement Monitoring Policy and Lawchemistry.chemical_compoundGeographychemistryChlorophyllComputers in Earth SciencesSpectral resolutionLeaf area indexAbsorption (electromagnetic radiation)Earth-Surface ProcessesRemote sensingInternational Journal of Applied Earth Observation and Geoinformation
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Modelling surface energy fluxes over maize using a two-source patch model and radiometric soil and canopy temperature observations

2008

Abstract Models estimating surface energy fluxes over partial canopy cover with thermal remote sensing must account for significant differences between the radiometric temperatures and turbulent exchange rates associated with the soil and canopy components of the thermal pixel scene. Recent progress in separating soil and canopy temperatures from dual angle composite radiometric temperature measurements has encouraged the development of two-source (soil and canopy) approaches to estimating surface energy fluxes given observations of component soil and canopy temperatures. A Simplified Two-Source Energy Balance (STSEB) model has been developed using a “patch” treatment of the surface flux so…

CanopyHeat fluxLatent heatEnergy balanceSoil ScienceGrowing seasonPlant coverEnvironmental scienceGeologyVegetationComputers in Earth SciencesSensible heatRemote sensingRemote Sensing of Environment
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Monitoring Yield and Fruit quality parameters in Open-Canopy Tree crops under Water Stress. Implications for ASTER

2007

Work on water stress detection at tree and orchard levels using a high-spatial airborne thermal sensor is presented, showing its connection with yield and some fruit quality indicators in olive and peach commercial orchards under different irrigation regimes. Two airborne campaigns were conducted with the Airborne Hyperspectral Scanner (AHS) over olive and peach orchards located in Córdoba, southern Spain. The AHS sensor was flown at three different times on 25 July 2004 and 16 July 2005, collecting 2 m spatial resolution imagery in 80 spectral bands in the 0.43– 12.5 μm spectral range. Thermal bands were assessed for the retrieval of land surface temperature using the split-window algorith…

CanopyHydrologyIrrigationFruit qualitybiologyWater stressAHSSoil ScienceGeologyRemote sensingbiology.organism_classificationOlive treesASTERHorticultureThermalAirborneEnvironmental scienceComputers in Earth SciencesOrchardIrrigation managementAster (genus)Water contentTESFruit treeRemote sensing
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2021

Abstract Remote sensing-based measurements of solar-induced chlorophyll fluorescence (SIF) are useful for assessing plant functioning at different spatial and temporal scales. SIF is the most direct measure of photosynthesis and is therefore considered important to advance capacity for the monitoring of gross primary production (GPP) while it has also been suggested that its yield facilitates the early detection of vegetation stress. However, due to the influence of different confounding effects, the apparent SIF signal measured at canopy level differs from the fluorescence emitted at leaf level, which makes its physiological interpretation challenging. One of these effects is the scatterin…

CanopyImaging spectrometerSoil SciencePrimary productionGeologyFar-redPhotosynthetic efficiencyAtmospheric sciencesPhotosynthesisPhotosynthetically active radiationEnvironmental scienceComputers in Earth SciencesChlorophyll fluorescenceRemote sensingRemote Sensing of Environment
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Latent heat flux variability and response to drought stress of black poplar: A multi-platform multi-sensor remote and proximal sensing approach to re…

2022

Abstract High-throughput mapping of latent heat flux (λET) is critical to efforts to optimize water resources management and to accelerate forest tree breeding for improved drought tolerance. Ideally, investigation of the energy response at the tree level may promote tailored irrigation strategies and, thus, maximize crop biomass productivity. However, data availability is limited and planning experimental campaigns in the field can be highly operationally complex. To this end, a multi-platform multi-sensor observational approach is herein developed to dissect the λET signature of a black poplar (Populus nigra) breeding population (“POP6”) at the canopy level. POP6 comprised more than 4600 …

CanopyIrrigationeducation.field_of_studysatellite remote sensingUAV remote sensingEvapotranspirationbiologyDrought tolerancePopulationSoil ScienceGeologybiology.organism_classificationBlack poplarMulti-platformmulti-resolutionAgronomyLatent heatEnvironmental scienceTree breedingPriestley-Taylor equationComputers in Earth ScienceseducationWater contentSettore ICAR/06 - Topografia E CartografiaRemote sensingRemote Sensing of Environment
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Sensitivity of L-band vegetation optical depth to carbon stocks in tropical forests: a comparison to higher frequencies and optical indices

2019

Supplementary data to this article can be found online at https://doi.org/10.1016/j.rse.2019.111303. Monitoring vegetation carbon in tropical regions is essential to the global carbon assessment and to evaluate the actions oriented to the reduction of forest degradation. Mainly, satellite optical vegetation indices and LiDAR data have been used to this purpose. These two techniques are limited by cloud cover and are sensitive only to the top of vegetation. In addition, the vegetation attenuation to the soil microwave emission, represented by the vegetation optical depth (VOD), has been applied for biomass estimation using frequencies ranging from 4 to 30¿GHz (C- to K-bands). Atmosphere is t…

CanopyL bandTropical forestsL-band010504 meteorology & atmospheric sciencesCarbon densityCloud cover0208 environmental biotechnologySoil ScienceClimate change02 engineering and technologyCarbon sequestrationAtmospheric sciences01 natural sciencesClimate changeSatellite imageryVegetation optical depthComputers in Earth Sciences0105 earth and related environmental sciencesRemote sensingTropicsGeology:Enginyeria de la telecomunicació [Àrees temàtiques de la UPC]020801 environmental engineeringSistemes de comunicació de microonesLidarEnvironmental scienceMicrowave communication systemsSoil moistureSistemes de gestió mediambientalSòls -- Humitat
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Bidirectional sun-induced chlorophyll fluorescence emission is influenced by leaf structure and light scattering properties : a bottom-up approach

2015

Abstract Sun-induced chlorophyll fluorescence (SIF) at leaf level is emitted in both upward and downward directions in the red and far-red part of the spectrum (650–850 nm) when a leaf is illuminated from the upper leaf surface. Hence, total SIF is represented by the sum of the upward and downward emission components. Nevertheless, the downward component of leaf SIF is often not considered despite that downward fluorescence yield (↓FY) can amount up to 40% of the total fluorescence yield (FYtot). Downward SIF is mainly emitted in the far-red, since this part of fluoresced light is highly scattered within leaves, unlike red Chl fluorescence, which is mostly reabsorbed. While total FY can be …

CanopyMaterials scienceScatteringEconomicsPhysicsSoil ScienceGeologyFluorescenceLight scatteringChemistrySpectroradiometerYield (chemistry)TransmittanceComputers in Earth SciencesChlorophyll fluorescenceBiologyEngineering sciences. TechnologyRemote sensingRemote sensing of environment
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A Mixture Modeling Approach to Estimate Vegetation Parameters for Heterogeneous Canopies in Remote Sensing

2000

In this article, we describe a reflectance model which parametrizes the reflectance of vegetation canopies from optical properties of leaves and soil, and dominant canopy structural parameters. The model assumes certain principles of geometric models, for example, that sensor integrates the radiance reflected from three components, plant, shaded soil, and illuminated soil. Its inversion provides compositional information of the ground surface that is linked with the interpretation of the linear spectral mixture modeling (LSMM). This model also offers the potential for retrieving other meaningful biophysical properties such as LAI. The model has been tested on simulated spectra of spectral m…

CanopyMathematical modelScatteringSoil ScienceGeologyInversion (meteorology)Spectral linePhysics::GeophysicsSoil waterRadianceEnvironmental scienceMixture modelingComputers in Earth SciencesRemote sensingRemote Sensing of Environment
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Prototyping of Land-SAF leaf area index algorithm with VEGETATION and MODIS data over Europe

2009

Abstract The Satellite Application Facility on Land Surface Analysis (Land-SAF) aims to provide land surface variables for the meteorological and environmental science communities from EUMETSAT satellites. This study assesses the performance of a simplified (i.e. random distribution of vegetation is assumed) version of the Land-SAF algorithm for the estimation of Leaf Area Index (LAI) when prototyped with VEGETATION (processed in CYCLOPES program) and MODIS reflectances. The prototype estimates of LAI are evaluated both by comparison with validated CYCLOPES and MODIS LAI products derived from the same sensors and directly through comparison with ground-based estimates. Emphasis is given on …

CanopyMean squared errorBiomeSoil ScienceGeologyVegetationEnvironmental scienceSpatial variabilitySatelliteSatellite imageryComputers in Earth SciencesLeaf area indexAlgorithmRemote sensingRemote Sensing of Environment
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Assessment of MODIS imagery to track light-use efficiency in a water-limited Mediterranean pine forest

2012

Abstract Daily values of gross primary production ( GPP ) derived from an eddy-covariance flux tower have been used to analyze the information content of the MODIS Photochemical Reflectance Index ( PRI ) on the light-use efficiency ( e ). The study has been conducted in a Mediterranean Pinus pinaster forest showing summer water stress. Advanced processing techniques have been used to analyze the effect of various external factors on e and PRI temporal variations. The intra-annual correlation between these two variables has been found to be mostly attributable to concurrent variations in sun and view zenith angles. The PRI has been normalized from these angular effects ( NPRI ), and its abil…

CanopyMediterranean climatebiologyWater stressSoil SciencePrimary productionGeologyPhotochemical Reflectance Indexbiology.organism_classificationEnvironmental sciencePinus pinasterEcosystemComputers in Earth SciencesZenithRemote sensingRemote Sensing of Environment
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