Search results for "itt"

showing 10 items of 20843 documents

Water Dissociation of a Dinuclear Bis(3,5‐dimethylpyrazolyl)methane Copper(II) Complex: X‐ray Diffraction Structure, Magnetic Properties, and Charact…

2018

010405 organic chemistrychemistry.chemical_element010402 general chemistry01 natural sciencesCopperDissociation (chemistry)Antiferromagnetic couplingMethane0104 chemical sciencesInorganic ChemistryCrystallographychemistry.chemical_compoundchemistryX-ray crystallographyWater splittingEuropean Journal of Inorganic Chemistry
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The MIRS computer package for modeling the rovibrational spectra of polyatomic molecules

2003

International audience; The MIRS spectroscopic software for the modeling of ro-vibrational spectra of polyatomic molecules is presented. It is designed for the global treatment of complex band systems of molecules to take full account of symmetry properties. It includes e cient algorithms based on the irreducible tensor formalism. Predictions and simultaneous data fi tting (positions and intensities) are implemented as well as advanced options related to group theory algebra. Illustrative examples on CH3D, CH4, CH3Cl and PH3 are reported and the present status of data available is given. It is written in C++ for standard PC computer operating under Windows. The full package including on-lin…

010504 meteorology & atmospheric sciences01 natural sciencesSpectral lineSoftwareComputer package0103 physical sciencesMoleculeSpectroscopy0105 earth and related environmental sciencesPhysics[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]RadiationSpectroscopic database010304 chemical physicsbusiness.industryPolyatomic ionRotational–vibrational spectroscopyMolecular spectroscopyAtmospheric applicationsAtomic and Molecular Physics and OpticsComputational physics[ PHYS.PHYS.PHYS-AO-PH ] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Rotation vibrationCurve fittingbusinessInfraredGroup theorySoftware
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Budyko’s Based Method for Annual Runoff Characterization across Different Climatic Areas: an Application to United States

2018

Runoff data knowledge is of fundamental importance for a wide range of hydrological, ecological, and socioeconomic applications. The reconstruction of annual runoff is a fundamental task for several activities related to water resources management, especially for ungauged basins. At catchment scales, the Budyko's framework provides an extremely useful and, in some cases, accurate estimation of the long-term partitioning of precipitation into evapotranspiration and runoff as a function of the prevailing climatic conditions. Recently the same long-term partitioning rules have been successfully used to describe water partitioning also at the annual scale and calculate the annual runoff distrib…

010504 meteorology & atmospheric sciences0208 environmental biotechnologyDrainage basin02 engineering and technologyStructural basinWater resources assessment01 natural sciencesBudyko's curveEvapotranspirationRange (statistics)Precipitation0105 earth and related environmental sciencesWater Science and TechnologyCivil and Structural EngineeringSubdivisionHydrologygeographygeography.geographical_feature_categorybusiness.industrySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaMOPEX data020801 environmental engineeringWater resourcesEnvironmental scienceAnnual water balanceAnnual runoff distributionSurface runoffbusiness
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An Ecohydrological Cellular Automata Model Investigation of Juniper Tree Encroachment in a Western North American Landscape

2016

Woody plant encroachment over the past 140 years has substantially changed grasslands in western North American. We studied encroachment of western juniper (Juniperus occidentalis var. occidentalis) into a previously mixed shrub–grassland site in central Oregon (USA) using a modified version of Cellular Automata Tree–Grass–Shrub Simulator (CATGraSS) ecohydrological model. We developed simple algorithms to simulate three encroachment factors (grazing, fire frequency reduction, and seed dispersal by herbivores) in CATGraSS. Local ecohydrological dynamics represented by the model were first evaluated using satellite-derived leaf area index and measured evapotranspiration data. Reconstruc…

010504 meteorology & atmospheric sciences0208 environmental biotechnologyved/biology.organism_classification_rank.specieswoody plant02 engineering and technologyLand cover01 natural sciencesShrubecohydrologyShrublandEnvironmental ChemistrygrazingEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesHydrologygeographygeography.geographical_feature_categoryEcologybiologyved/biologyEcologySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaVegetationPlant functional typebiology.organism_classificationEcology Evolution Behavior and Systematicseed dispersal020801 environmental engineeringJuniperus occidentalisEnvironmental sciencePlant coverJunipergrasslandshrublandfireEcosystems
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Using scintillometry to assess reference evapotranspiration methods and their impact on the water balance of olive groves

2016

Abstract Reference evapotranspiration (ET 0 ) is widely used for irrigation scheduling, to promote an efficient use of water resources for a sustainable agro-ecosystem productivity, as well as to manage water quality and to face other environmental concerns. As suggested by ASCE-EWRI and FAO, standard Penman–Monteith methods are generally applied for an accurate estimation of ET 0 from hourly to daily scale. In absence of detailed meteorological information several simplified equations, using a limited number of variables, have been proposed as alternative. In this paper, the performance of different reference evapotranspiration methods, at hourly (Penman–Monteith, Pristley–Taylor, Makkink …

010504 meteorology & atmospheric sciencesASCE and FAO-56 papers0208 environmental biotechnologySoil Science02 engineering and technologyET Radiation based models01 natural scienceslaw.inventionWater balancelawScintillometerEvapotranspirationSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliReference evapotranspiration; ASCE and FAO-56 papers; Scintillometer; ET Radiation based modelsReference evapotranspirationPenman–Monteith equation0105 earth and related environmental sciencesWater Science and TechnologyEarth-Surface ProcessesHydrologyEvapotranspirationSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaIrrigation schedulingMicrometeorology020801 environmental engineeringWater resourcesScintillometerEnvironmental scienceWater qualityMediterranean climateScale (map)Agronomy and Crop Science
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Who's better at spotting? A comparison between aerial photography and observer-based methods to monitor floating marine litter and marine mega-fauna.

2020

Pollution by marine litter is raising major concerns due to its potential impact on marine biodiversity and, above all, on endangered mega-fauna species, such as cetaceans and sea turtles. The density and distribution of marine litter and mega-fauna have been traditionally monitored through observer-based methods, yet the advent of new technologies has introduced aerial photography as an alternative monitoring method. However, to integrate results produced by different monitoring techniques and consider the photographic method a viable alternative, this ‘new’ methodology must be validated. This study aims to compare observations obtained from the concurrent application of observer-based and…

010504 meteorology & atmospheric sciencesAerial surveyHealth Toxicology and MutagenesisEndangered speciesMarine pollution010501 environmental sciencesToxicology01 natural sciencesAerial surveysMarine pollutionMediterranean seaAerial photographyMarine debrisMediterranean SeaPhotographyAnimalsMarine vertebratesTransect0105 earth and related environmental sciencesRemote sensingWaste ProductsGeneral MedicineRemote sensingPollutionTurtlesSeabirdsMediterranean seaRemote Sensing TechnologyLitterEnvironmental scienceCetaceaPlasticsEnvironmental MonitoringEnvironmental pollution (Barking, Essex : 1987)
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Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3

2012

Abstract ESA's upcoming satellites Sentinel-2 (S2) and Sentinel-3 (S3) aim to ensure continuity for Landsat 5/7, SPOT-5, SPOT-Vegetation and Envisat MERIS observations by providing superspectral images of high spatial and temporal resolution. S2 and S3 will deliver near real-time operational products with a high accuracy for land monitoring. This unprecedented data availability leads to an urgent need for developing robust and accurate retrieval methods. Machine learning regression algorithms may be powerful candidates for the estimation of biophysical parameters from satellite reflectance measurements because of their ability to perform adaptive, nonlinear data fitting. By using data from …

010504 meteorology & atmospheric sciencesArtificial neural networkMean squared errorbusiness.industryComputer science0211 other engineering and technologiesSoil ScienceGeology02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesRegressionSupport vector machineTemporal resolutionGround-penetrating radarCurve fittingArtificial intelligenceComputers in Earth SciencesbusinessImage resolutioncomputer021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks

2020

Interest in drone solutions in forestry applications is growing. Using drones, datasets can be captured flexibly and at high spatial and temporal resolutions when needed. In forestry applications, fundamental tasks include the detection of individual trees, tree species classification, biomass estimation, etc. Deep neural networks (DNN) have shown superior results when comparing with conventional machine learning methods such as multi-layer perceptron (MLP) in cases of huge input data. The objective of this research is to investigate 3D convolutional neural networks (3D-CNN) to classify three major tree species in a boreal forest: pine, spruce, and birch. The proposed 3D-CNN models were emp…

010504 meteorology & atmospheric sciencesComputer sciencehyperspectral image classificationScience0211 other engineering and technologiesgeoinformatics02 engineering and technologyneuroverkot01 natural sciencesConvolutional neural networkpuulajitPARAMETERSSet (abstract data type)LIDARFORESTSClassifier (linguistics)021101 geological & geomatics engineering0105 earth and related environmental sciencesbusiness.industryDeep learningspektrikuvausQHyperspectral imagingdeep learningPattern recognition15. Life on landmiehittämättömät ilma-aluksetPerceptron113 Computer and information sciencesClass (biology)drone imagery3d convolutional neural networksmetsänarviointiMACHINEkoneoppiminentree species classification3D convolutional neural networksGeneral Earth and Planetary SciencesRGB color modelArtificial intelligencekaukokartoitusbusinesshyperspectral image classificationRemote Sensing
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Increase inabovegroundfreshlitterquantityover-stimulatessoil respiration inatemperatedeciduousforest

2010

In the context of climate change, the amount of carbon allocated to soil, particularly fresh litter, is predicted to increase with terrestrial ecosystem productivity, and may alter soil carbon storage capacities. In this study we performed a 1-year litter-manipulation experiment to examine how soil CO2 efflux was altered by the amount of fresh litter. Three treatments were applied: litter exclusion (E), control (C, natural amount: 486 g m −2 ) and litter addition (A, twice the natural amount: 972 g m −2

010504 meteorology & atmospheric sciencesEcologyEcologySoil biologySoil Science04 agricultural and veterinary sciencesSoil carbon15. Life on landPlant litter01 natural sciencesAgricultural and Biological Sciences (miscellaneous)6. Clean water[ SDE ] Environmental SciencesSoil respirationAgronomy13. Climate actionSoil water[SDE]Environmental Sciences040103 agronomy & agricultureLitter0401 agriculture forestry and fisheriesEnvironmental scienceTerrestrial ecosystemEcosystem0105 earth and related environmental sciences
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Validation of HF radar sea surface currents in the Malta-Sicily Channel

2019

Abstract A network of High-Frequency radar (HFR) stations runs operationally in the Malta-Sicily Channel (MSC), Central Mediterranean Sea, providing sea surface current maps with high temporal (1 h) and spatial (3 × 3 km) resolutions since August 2012. Comparisons with surface drifter data and near-surface Acoustic Doppler Current Profiler (ADCP) observations, as well as radar site-to-site baseline analyses, provide quantitative assessments of HFR velocities accuracy. Twenty-two drifters were deployed within the HFR domain of coverage between December 2012 and October 2013. Additionally, six ADCP vertical current profiles were collected at selected positions during a dedicated field survey.…

010504 meteorology & atmospheric sciencesFrequency band0208 environmental biotechnologySoil Science02 engineering and technologySurface current01 natural scienceslaw.inventionAcoustic Doppler current profilerlawCurrent meter measurementHfr cellComputers in Earth SciencesRadar0105 earth and related environmental sciencesRemote sensingHF radarSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaData qualityGeology020801 environmental engineeringCurrent (stream)DrifterDrifter measurementSettore ICAR/06 - Topografia E CartografiaGeologyCommunication channelInterpolationRemote Sensing of Environment
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