Search results for "empirical"

showing 10 items of 1197 documents

Comparison and Evaluation of the TES and ANEM Algorithms for Land Surface Temperature and Emissivity Separation over the Area of Valencia, Spain

2017

Land Surface temperature (LST) is a key magnitude for numerous studies, especially for climatology and assessment of energy fluxes between surface and atmosphere. Retrieval of accurate LST requires a good characterization of surface emissivity. Both quantities are coupled in a single radiance measurement; for this reason, for N spectral bands available in a remote sensor, there will always be N + 1 unknowns. To solve the indeterminacy, temperature-emissivity separation methods have been proposed, among which the Temperature Emissivity Separation (TES) algorithm is one of the most widely used. The Adjusted Normalized Emissivity Method (ANEM) was proposed as a modification of the Normalized E…

010504 meteorology & atmospheric sciencesLand surface temperatureScience0211 other engineering and technologiesland surface temperature02 engineering and technology01 natural sciencesASTERTES; ANEM; land surface temperature; emissivity; ASTER; thermal infraredTermodinàmicaEmissivityValencia021101 geological & geomatics engineering0105 earth and related environmental sciencesbiologyQAtmospheric correctionSpectral bandsTemperaturabiology.organism_classificationANEMSea surface temperatureemissivityRadianceGeneral Earth and Planetary SciencesEnvironmental sciencethermal infraredEmpirical relationshipAlgorithmTESRemote Sensing
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Crop specific algorithms trained over ground measurements provide the best performance for GAI and fAPAR estimates from Landsat-8 observations

2021

Abstract Estimation of Green Area Index (GAI) and fraction of Absorbed Photosynthetically Active Radiation (fAPAR) from decametric satellites was investigated in this study using a large database of ground measurements over croplands. It covers six main crop types including rice, corn, wheat and barley, sunflower, soybean and other types of crops. Ground measurements were completed using either digital hemispherical cameras, LAI-2000 or AccuPAR devices over sites representative of a decametric pixel. Sites were spread over the globe and the data collected at several growth stages concurrently to the acquisition of Landsat-8 images. Several machine learning techniques were investigated to re…

010504 meteorology & atmospheric sciencesMean squared errorArtificial neural networkCalibration (statistics)0208 environmental biotechnologyEmpirical modellingSoil ScienceGeology02 engineering and technology01 natural sciencesNormalized Difference Vegetation Index020801 environmental engineeringSupport vector machineData pointKrigingComputers in Earth SciencesAlgorithm0105 earth and related environmental sciencesRemote sensingMathematicsRemote Sensing of Environment
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Empirical and physical estimation of Canopy Water Content from CHRIS/PROBA data

2013

20 páginas, 4 tablas, 7 figuras.

010504 meteorology & atmospheric sciencesMean squared errorScience0211 other engineering and technologies02 engineering and technologyCHRIS/PROBA01 natural sciencescanopy water content;model inversion;neural networks;look up tables;empirical up-scalingmodel inversionEmpirical up-scalingAtmospheric radiative transfer codeslook up tablesRadiative transferModel inversion021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensingArtificial neural networkCanopy water contentQHyperspectral imagingInversion (meteorology)Sigmoid functionSpectral bandsempirical up-scaling15. Life on landneural networks[SDE]Environmental SciencesGeneral Earth and Planetary SciencesLook up tablescanopy water contentNeural networkscanopy water content; model inversion; neural networks; look up tables; empirical up-scaling; CHRIS/PROBA
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2016

Gianluca Tramontana was supported by the GEOCARBON EU FP7 project (GA 283080). Dario Papale, Martin Jung and Markus Reichstein acknowledge funding from the EU FP7 project GEOCARBON (grant agreement no. 283080) and the EU H2020 BACI project (grant agreement no. 640176). Gustau Camps-Valls wants to acknowledge the support by an ERC Consolidator Grant with grant agreement 647423 (SEDAL). Kazuhito Ichii was supported by Environment Research and Technology Development Funds (2-1401) from the Ministry of the Environment of Japan and the JAXA Global Change Observation Mission (GCOM) project (no. 115). Christopher R. Schwalm was supported by National Aeronautics and Space Administration (NASA) gran…

010504 meteorology & atmospheric sciencesMeteorologyFLUXNET0208 environmental biotechnology0207 environmental engineeringlcsh:Life02 engineering and technologySensible heatAtmospheric sciences7. Clean energy01 natural sciencesFlux (metallurgy)FluxNetMachine learning; Carbon fluxes; Energy fluxes; FLUXNET; Remote sensing; FLUXCOMlcsh:QH540-549.5Latent heatMachine learningCarbon fluxes020701 environmental engineeringEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEarth-Surface ProcessesFLUXCOMMultivariate adaptive regression splineslcsh:QE1-996.5Empirical modellingPrimary production15. Life on landRemote sensingEnergy fluxes020801 environmental engineeringlcsh:Geologylcsh:QH501-531Kernel method13. Climate actionEnvironmental sciencelcsh:EcologyBiogeosciences
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Testing the use of an image-based technique to measure gully erosion at Sparacia experimental area

2016

The first part of this investigation was aimed at testing the use of a three-dimensional (3D) Digital Terrain Model (DTM) and a quasi-tridimensional (2.5D) Digital Elevation Model (DEM) obtained by a large series of oblique images of eroded channels taken from consumer un-calibrated and non-metric cameras. For two closed earth channels having a different sinuosity the ground measurement of some cross-sections by a profilometer (P) was carried out. The real volume of each channel was also measured by waterproofing it by a plastic film and filling it with a known volume of water. The comparison among the three methods (3D, 2.5D and P) pointed out that a limited underestimation of the total vo…

010504 meteorology & atmospheric sciencesSoil scienceChannelized04 agricultural and veterinary sciencesSinuosity01 natural sciencesVolume (thermodynamics)040103 agronomy & agricultureErosion0401 agriculture forestry and fisheriesProfilometerEmpirical relationshipDigital elevation modelGeology0105 earth and related environmental sciencesWater Science and TechnologyRemote sensingCommunication channelHydrological Processes
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Implementation of a comprehensive ice crystal formation parameterization for cirrus and mixed-phase clouds in the EMAC model (based on MESSy 2.53)

2018

A comprehensive ice nucleation parameterization has been implemented in the global chemistry-climate model EMAC to improve the representation of ice crystal number concentrations (ICNCs). The parameterization of Barahona and Nenes (2009, hereafter BN09) allows for the treatment of ice nucleation taking into account the competition for water vapour between homogeneous and heterogeneous nucleation in cirrus clouds. Furthermore, the influence of chemically heterogeneous, polydisperse aerosols is considered by applying one of the multiple ice nucleating particle parameterizations which are included in BN09 to compute the heterogeneously formed ice crystals. BN09 has been modified in order to co…

010504 meteorology & atmospheric sciencesglobal climate modelNucleationMineral dustnucleation parameterizations010502 geochemistry & geophysicsAtmospheric sciences01 natural sciencesempirical parameterizationTroposphereinsoluble particlesddc:5500105 earth and related environmental sciencesmineral dustIce crystalssubmodel system messylcsh:QE1-996.5Northern Hemisphereatmospheric aerosollcsh:Geology13. Climate actionupper troposphereIce nucleusEnvironmental scienceCirrustransport sectorsWater vapordroplet number concentration
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The ecogenetic link between demography and evolution: can we bridge the gap between theory and data?

2007

Calls to understand the links between ecology and evolution have been common for decades. Population dynamics, i.e. the demographic changes in populations, arise from life history decisions of individuals and thus are a product of selection, and selection, on the contrary, can be modified by such dynamical properties of the population as density and stability. It follows that generating predictions and testing them correctly requires considering this ecogenetic feedback loop whenever traits have demographic consequences, mediated via density dependence (or frequency dependence). This is not an easy challenge, and arguably theory has advanced at a greater pace than empirical research. Howeve…

0106 biological sciences*Ecosystemcomparative analysisdensity-dependent selectionEcology (disciplines)Frequency-dependent selectionPopulationPopulation DynamicsStability (learning theory)Biologylife history theory010603 evolutionary biology01 natural sciencesecogeneticsLife history theory03 medical and health sciencesEmpirical researchAnimalsexperimental evolutionSelection GeneticeducationEcology Evolution Behavior and SystematicsSelection (genetic algorithm)Ecosystem030304 developmental biology0303 health scienceseducation.field_of_studyEcologyEcologyBiological Evolutioneco-evolutionary feedback*Evolution*Selection (Genetics)frequency-dependent selectionEcology/*methodsEvolutionary ecologyEcology letters
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Citizen Science in the Natural Sciences

2021

AbstractThe natural sciences include the life and physical sciences and study nature through observing and understanding phenomena, testing hypotheses, and performing experiments. Key principles such as reliability, validity, objectivity, and predictability are achieved through transparent assumptions, methods, data, and interpretations as well as multidisciplinarity.In this chapter we present insights into the genesis of citizen science in the natural sciences and reflect on the intellectual history of the natural sciences in relation to citizen science today. Further, we consider the current scientific approaches and achievements of natural science projects, which are applying citizen sci…

0106 biological sciences010504 meteorology & atmospheric sciencesComputer scienceManagement scienceTheoretical research010603 evolutionary biology01 natural sciencesEmpirical researchMultidisciplinary approachCitizen scienceNatural sciencePredictabilityObjectivity (science)Reliability (statistics)0105 earth and related environmental sciences
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Demographic history has shaped the strongly differentiated corkwing wrasse populations in Northern Europe

2019

Understanding the biological processes involved in genetic differentiation and divergence between populations within species is a pivotal aim in evolutionary biology. One particular phenomenon that requires clarification is the maintenance of genetic barriers despite the high potential for gene flow in the marine environment. Such patterns have been attributed to limited dispersal or local adaptation, and to a lesser extent to the demographic history of the species. The corkwing wrasse (Symphodus melops) is an example of a marine fish species where regions of particular strong divergence are observed. One such genetic break occurred at a surprisingly small spatial scale (FST ~0.1), over a s…

0106 biological sciences0301 basic medicineGene FlowMaleReproductive IsolationDemographic historyphylogeography010603 evolutionary biology01 natural sciencesGene flow03 medical and health sciencesGenetic driftGeneticsAnimals14. Life underwaterEcology Evolution Behavior and Systematicspopulation genetics—empiricalLocal adaptationDemographyfishGenomebiologyEcologyGenetic DriftFisheslandscape geneticsVDP::Matematikk og Naturvitenskap: 400Reproductive isolationVDP::Mathematics and natural science: 400::Zoology and botany: 480::Zoogeography: 486VDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Zoogeografi: 486biology.organism_classificationEuropePhylogeography030104 developmental biologyaquacultureEvolutionary biologyBiological dispersalFemaleCorkwing wrasse
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2022

Abstract The interest in studying wood-inhabiting fungal communities has grown in recent years. This interest has mainly been motivated by the important roles of wood-inhabiting fungi in ecosystem functioning (e.g. nutrient cycling) and conservation biology (e.g. their sensitivity to forest management). In this paper, I argue that another important, but yet largely unexplored motivation for studying wood-inhabiting fungal communities, is their potential to advance fundamental community ecology. One major advantage of wood-inhabiting fungi as model systems is that they are organized as spatially well-defined metacommunities, thus conforming to the assumptions of many theoretical frameworks. …

0106 biological sciences0303 health sciencesEcologyCommunitybusiness.industryEcological ModelingEnvironmental resource managementForest managementModel systemPlant Science15. Life on landBiology010603 evolutionary biology01 natural sciences03 medical and health sciencesEmpirical researchHabitatEcosystemConservation biologybusinessEcology Evolution Behavior and Systematics030304 developmental biologyFungal Ecology
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