Search results for "fractional vegetation cover"

showing 7 items of 7 documents

Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging.

2021

Hyperspectral cameras onboard unmanned aerial vehicles (UAVs) have recently emerged for monitoring crop traits at the sub-field scale. Different physical, statistical, and hybrid methods for crop trait retrieval have been developed. However, spectra collected from UAVs can be confounded by various issues, including illumination variation throughout the crop growing season, the effect of which on the retrieval performance is not well understood at present. In this study, four retrieval methods are compared, in terms of retrieving the leaf area index (LAI), fractional vegetation cover (fCover), and canopy chlorophyll content (CCC) of potato plants over an agricultural field for six dates duri…

Canopystatistical method010504 meteorology & atmospheric sciencesScience0211 other engineering and technologiesGrowing season02 engineering and technologyLUT-based inversion; hybrid method; statistical method; leaf area index; fractional vegetation cover; canopy chlorophyll content01 natural sciencesLUT-based inversionhybrid methodLeaf area index021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensingfractional vegetation coverleaf area indexQHyperspectral imagingcanopy chlorophyll contentStatistical modelRandom forestVNIRGeneral Earth and Planetary SciencesScale (map)Remote sensing
researchProduct

Hybrid inversion of radiative transfer models based on high spatial resolution satellite reflectance data improves fractional vegetation cover retrie…

2021

In forest landscapes affected by fire, the estimation of fractional vegetation cover (FVC) from remote sensing data using radiative transfer models (RTMs) enables to evaluate the ecological impact of such disturbance across plant communities at different spatio-temporal scales. Even though, when landscapes are highly heterogeneous, the fine-scale ground spatial variation might not be properly captured if FVC products are provided at moderate or coarse spatial scales, as typical of most of operational Earth observing satellite missions. The objective of this study was to evaluate the potential of a RTM inversion approach for estimating FVC from satellite reflectance data at high spatial reso…

010504 meteorology & atmospheric sciencesMean squared error0208 environmental biotechnologySoil Science02 engineering and technology01 natural sciencesArticleWorldView-3Radiative transferComputers in Earth SciencesImage resolution0105 earth and related environmental sciencesRemote sensingFractional vegetation coverForest fireGeologyInversion (meteorology)15. Life on landEcología. Medio ambienteRadiative transfer modeling020801 environmental engineering13. Climate actionGround-penetrating radarEnvironmental scienceSatelliteSpatial variabilitySentinel-2Scale (map)Remote Sensing of Environment
researchProduct

Vegetation growth parameters and leaf temperature: Experimental results from a six plots green roofs' system

2016

Abstract The paper provides a contribution for populating database of three physical parameters needed to model energy performance of buildings with green roofs: “coverage ratio” ( σ f ), leaf area index (LAI) and leaf temperature ( T f ). On purpose, six plant species were investigated experimentally: Phyla nordiflora, Aptenia lancifolia , Mesembryanthenum barbatus , Gazania nivea, Gazania uniflora , and Sedum . Proper ranges of the cited parameters have been found for each species. The here indicated ranges of σ f values refer to different growth levels of the species in the same lapse of time, that is four months. Single measured LAI values are also reported for the same plants. As for t…

Building cooling demandGazania020209 energyGreen roof02 engineering and technologyAtmospheric sciencesIndustrial and Manufacturing EngineeringLeaf temperatureBotanyGreen roof0202 electrical engineering electronic engineering information engineeringRange (statistics)Fractional vegetation coverageElectrical and Electronic EngineeringLeaf area indexCivil and Structural EngineeringMathematicsSettore ING-IND/11 - Fisica Tecnica AmbientalebiologyApteniaMechanical EngineeringEnergy performanceModelingBuilding and ConstructionVegetationbiology.organism_classificationPollutionSedumGeneral EnergyLeaf area index
researchProduct

Comparison Between Fractional Vegetation Cover Retrievals from Vegetation Indices and Spectral Mixture Analysis: Case Study of PROBA/CHRIS Data Over …

2009

Abstract: In this paper we compare two different methodologies for Fractional Vegetation Cover (FVC) retrieval from Compact High Resolution Imaging Spectrometer (CHRIS) data onboard the European Space Agency (ESA) Project for On-Board Autonomy (PROBA) platform. The first methodology is based on empirical approaches using Vegetation Indices (VIs), in particular the Normalized Difference Vegetation Index (NDVI) and the Variable Atmospherically Resistant Index (VARI). The second methodology is based on the Spectral Mixture Analysis (SMA) technique, in which a Linear Spectral Unmixing model has been considered in order to retrieve the abundance of the different constituent materials within pixe…

Endmember010504 meteorology & atmospheric sciencesMean squared error0211 other engineering and technologies550 - Earth sciences02 engineering and technologyLand coverlcsh:Chemical technology01 natural sciencesBiochemistryNormalized Difference Vegetation IndexArticleCHRISAnalytical ChemistryRoot mean squareFractional Vegetation Cover; Vegetation Indices; Spectral Mixture Analysis; PROBA; CHRISPROBAlcsh:TP1-1185Electrical and Electronic EngineeringInstrumentation021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensingFractional Vegetation CoverPixelVegetation15. Life on landAtomic and Molecular Physics and OpticsStandard errorSpectral Mixture AnalysisVegetation Indices
researchProduct

Vegetation and soil – related parameters for computing solar radiation exchanges within green roofs: Are the available values adequate for an easy mo…

2016

Several studies analyze the thermal performance of vegetated roofs, presenting either mathematical models or experimental quantifications of heat transfer process through them, also showing the effect of vegetation and soil parameters on the thermal and energy performance of this type of roofing system. However, presently the level of availability of these parameters, has not been enough considered. This work intends to investigate this underestimated issue of the green roofs’ thermal modeling, through the consideration of the availability of parameters pertinent to the shortwave radiation exchange, which are adopted by models based on leaf area index (LAI) and on the fractional vegetation …

Engineering020209 energyGreen roof02 engineering and technology010501 environmental sciences01 natural sciencesCivil engineeringBuilding energy simulationHeat transfer0202 electrical engineering electronic engineering information engineeringFractional vegetation coverageShortwave radiationElectrical and Electronic EngineeringLeaf area indexBuilding energy simulation0105 earth and related environmental sciencesCivil and Structural EngineeringSettore ING-IND/11 - Fisica Tecnica AmbientaleMathematical modelbusiness.industryMechanical EngineeringGreen roof canopyBuilding and ConstructionVegetationShortwave radiation exchangeLeaf area indexHeat transferStage (hydrology)businessEnergy and Buildings
researchProduct

Green roofs for smart cities: experimental determination of the “fractional vegetation coverage” of six vegetated species

2015

Towards a de-carbonization of European countries, green roofs are becoming popular, due not only to aesthetic reasons but also to energy and environmental issues. Indeed, especially in summer periods, the building cooling demand might be sensibly cut thanks to such passive components often chosen for planning smart cities. To properly model the energy performances of buildings equipped with these components, a particular attention must be paid to radiative exchanges occurring among soil surface, leaves and outdoor surroundings. These thermal exchanges depend on parameters, like the “fractional vegetation coverage” whose literature data do not seem particularly suitable for the simulation ne…

Settore ING-IND/11 - Fisica Tecnica AmbientaleGreen Roofsmart citieLeaf Area IndexFractional Vegetation Coverageenergy efficiency
researchProduct

Design, Building up and First Results of Three Monitored Green Coverings Over a University Department Building

2015

Abstract A viable solution to reducing the buildings’ energy demand is the implementation of green coverings that have been demonstrated to improve the envelope performance, especially in summer season. Anyway, to apply computer models analyzing the energy performance of buildings equipped with such components, the knowledge of specific parameters is needed. Among these, the fractional vegetation coverage and leaf area index are of great importance. By means of an experimental facility, first results of the evaluation of these foliage-related parameters for five types of vegetation are presented.

Engineeringgreen roofSettore ING-IND/11 - Fisica Tecnica AmbientaleEnergy demandleaf area indexbusiness.industryEnergy performanceGreen roofdesignVegetationsensorsCivil engineeringSummer seasonfractional vegetation coverageEnergy(all)Leaf area indexbusinessEnvelope (motion)Energy Procedia
researchProduct