Search results for "Statistics"

showing 10 items of 7671 documents

Evaluation of the S-NPP VIIRS land surface temperature product using ground data acquired by an autonomous system at a rice paddy

2018

Abstract The S-NPP VIIRS Land Surface Temperature (LST) product attained the stage V1 of validation maturity (provisional validated) at the end of 2014. This paper evaluates the current VIIRS V1 LST product versus concurrent ground data acquired at a rice paddy site from December 2014 to August 2016. The experimental site has three different seasonal and homogeneous land covers through the year, which makes the site interesting for validation activities. An autonomous and multiangular system was used to record continuous ground data at the site. The data acquired at zenith angles similar to the VIIRS viewing angles were used for the validation to avoid possible differences between satellite…

010504 meteorology & atmospheric sciencesPixelMeteorologymedia_common.quotation_subject0211 other engineering and technologies02 engineering and technologyLand cover01 natural sciencesAtomic and Molecular Physics and OpticsComputer Science ApplicationsSkyEmissivityRange (statistics)Environmental scienceSatelliteStage (hydrology)Computers in Earth SciencesEngineering (miscellaneous)Zenith021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingmedia_commonISPRS Journal of Photogrammetry and Remote Sensing
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A Plot-scale uncertainty analysis of saturated hydraulic conductivity of a clay soil

2021

Abstract Simulating soil hydrological processes at the plot or field scale requires using spatially representative values of the saturated soil hydraulic conductivity, Ks. Sampling campaigns should yield a reliable mean of Ks with a sustainable workload since measuring Ks at many points is challenging. Uncertainty analysis can be used to determine the lowest number of measurements that yield a mean Ks value with a specified accuracy level. Potential and limitations of this analysis were tested in this investigation for different extents of the sampled area and sampling densities. A clay soil was sampled intensively on two plots (plot area = 44 m2), two dates and using both small (0.15 m in …

010504 meteorology & atmospheric sciencesScale (ratio)0207 environmental engineeringbootstrap methodSampling (statistics)Soil science02 engineering and technology01 natural sciencesConfidence intervalHydraulic conductivitysaturated soil hydraulic conductivityEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestalifine-textured soilsFine-textured soilsimplified falling head technique020701 environmental engineeringClay soilUncertainty analysissaturated soil hydraulic conductivity fine-textured soils simplified falling head technique bootstrap method0105 earth and related environmental sciencesWater Science and Technology
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Predicting plot soil loss by empirical and process-oriented approaches. A review

2018

Soil erosion directly affects the quality of the soil, its agricultural productivity and its biological diversity. Many mathematical models have been developed to estimate plot soil erosion at different temporal scales. At present, empirical soil loss equations and process-oriented models are considered as constituting a complementary suite of models to be chosen to meet the specific user need. In this paper, the Universal Soil Loss Equation and its revised versions are first reviewed. Selected methodologies developed to estimate the factors of the model with the aim to improve the soil loss estimate are described. Then the Water Erosion Prediction Project which represents a process-oriente…

010504 meteorology & atmospheric sciencesSoil erosion; Soil loss measurements; Universal soil loss equation; Water erosion prediction project; Bioengineering; Mechanical Engineering; Industrial and Manufacturing EngineeringBioengineeringSoil science01 natural sciencesIndustrial and Manufacturing EngineeringPlot (graphics)lcsh:Agriculturewater erosion prediction project.Soil loss measurementSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestalilcsh:Agriculture (General)Temporal scalesReliability (statistics)0105 earth and related environmental sciencesgeographysoil loss measurementsgeography.geographical_feature_categoryPhysical modelMathematical modelMechanical EngineeringWater erosion prediction projectlcsh:S04 agricultural and veterinary sciencesUniversal Soil Loss Equationlcsh:S1-972RillUniversal Soil Loss EquationSoil erosion040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSpatial variability
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Methanotrophy in geothermal soils, an overlooked process: The example of Nisyros island (Greece)

2020

Abstract A multidisciplinary field campaign was carried out at Nisyros Island (Greece). Hydrothermal gases were sampled and analysed, and CH4 and CO2 fluxes from the soils were measured with the accumulation chamber method. The sampling area (Lakki plain) covers an area of about 0.08 km2, and includes the main fumarolic areas of Kaminakia, Stefanos, Ramos, Lofos and Phlegeton. Flux values measured at 130 sites range from −3.4 to 1420 mg m−2 d−1 for CH4 and from 0.1 to 383 g m−2 d−1 for CO2. The fumarolic areas show very different CH4 degassing patterns, Kaminakia showing the highest CH4 output values (about 0.8 t a−1 from an area of about 30,000 m2) and Phlegeton the lowest (about 0.01 t a−…

010504 meteorology & atmospheric sciencesSoil testMethanotrophy Soil degassing Hydrothermal systems Methane output Greenhouse gasesSampling (statistics)GeologySoil scienceMethanotrophy Soil degassing Hydrothermal systems Methane output Greenhouse gases010502 geochemistry & geophysics01 natural sciencesSettore GEO/08 - Geochimica E VulcanologiaFlux (metallurgy)Geochemistry and PetrologyChamber methodSoil waterGeothermal gradientGeologyField campaign0105 earth and related environmental sciencesChemical Geology
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Analysis of the radar vegetation index and assessment of potential for improvement

2018

The Radar Vegetation Index (RVI) is widely applied to indicate vegetation cover. The index includes the backscattering intensities of co- and cross-polarization that do not only contain information coming from vegetation scattering at longer wavelength (L-band), but also from the soil underneath. A forward modelling approach using active and passive microwave-derived parameters to obtain the scattering contribution of the soil is pursued. The idea of this research study is a subtraction of the attenuated soil scattering contribution from the measured backscattering intensities, to provide a clean vegetation-based solution, called improved RVI (RVII). For latter analysis, the vegetation volu…

010504 meteorology & atmospheric sciencesmicrowave[SDV]Life Sciences [q-bio]0211 other engineering and technologiesSoil science02 engineering and technology01 natural scienceslaw.inventionVegetation coverlawmedicineRange (statistics)RadarComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciencesRadarVegetationScatteringSMAP15. Life on landWavelength[SDE]Environmental SciencesVegetation water contentEnvironmental scienceactive-passive sensingmedicine.symptomVegetation IndexVegetation (pathology)Cartography
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Global Sensitivity Analysis of Leaf-Canopy-Atmosphere RTMs: Implications for Biophysical Variables Retrieval from Top-of-Atmosphere Radiance Data.

2019

Knowledge of key variables driving the top of the atmosphere (TOA) radiance over a vegetated surface is an important step to derive biophysical variables from TOA radiance data, e.g., as observed by an optical satellite. Coupled leaf-canopy-atmosphere Radiative Transfer Models (RTMs) allow linking vegetation variables directly to the at-sensor TOA radiance measured. Global Sensitivity Analysis (GSA) of RTMs enables the computation of the total contribution of each input variable to the output variance. We determined the impacts of the leaf-canopy-atmosphere variables into TOA radiance using the GSA to gain insights into retrievable variables. The leaf and canopy RTM PROSAIL was coupled with…

010504 meteorology & atmospheric sciencesradiative transfer models0211 other engineering and technologiesemulation02 engineering and technologytop-of-atmosphere radiance data01 natural sciencesEmulation; Global sensitivity analysis; Machine learning; MODTRAN; PROSAIL; Radiative transfer models; Retrieval; Sentinel-2; Top-of-atmosphere radiance dataKrigingRange (statistics)Radiative transferLeaf area indexlcsh:Scienceretrieval021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingMODTRANPROSAILMODTRANAtmospheric correctionradiative transfer models; global sensitivity analysis; emulation; machine learning; top-of-atmosphere radiance data; PROSAIL; MODTRAN; retrieval; Sentinel-2machine learningglobal sensitivity analysisLookup tableRadianceGeneral Earth and Planetary SciencesEnvironmental sciencelcsh:QSentinel-2Remote sensing
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Aerial strategies advance volcanic gas measurements at inaccessible, strongly degassing volcanoes

2020

Aerial measurements using unoccupied aerial systems (UAS) transform our ability to measure and monitor volcanic plumes.

010504 meteorology & atmospheric sciencessub-053705 Geology010502 geochemistry & geophysicsAtmospheric sciences01 natural sciencesMantle (geology)Carbon cycleVolcanic GasesFlux (metallurgy)eventResearch Articles0105 earth and related environmental sciencesevent.disaster_typegeographyMultidisciplinarygeography.geographical_feature_categorySciAdv r-articlesSampling (statistics)Sediment37 Earth Sciences3703 GeochemistryPlumeApplied Sciences and EngineeringVolcanoPhysical SciencesManam volcanic gases UASResearch ArticleScience Advances
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Rethinking the perishable: Identifying organic remains in metal objects at the Iron Age site of La Bastida de les Alcusses (Moixent, Spain)

2019

Abstract The use of certain perishable materials for handicraft, such as wood, has been underestimated in archaeological investigation due to their poor preservation. Its study through indirect evidence (other non-perishable materials, ethnographic sources) is partial, and does not account for the real importance of wood in domestic, craft and ritual contexts in past societies. In this review we reclaim the use of wood as a co-constitutive material of objects by focusing on Iron Age tools, weapons and carpentry elements from a case-study in the Western Mediterranean. We also suggest the adoption of protocols for sampling and analysing the remains of wood adhered to metal objects, which may …

010506 paleontologyArcheologyCarpentry060102 archaeologySampling (statistics)06 humanities and the artsRaw material01 natural sciencesArchaeologyIndirect evidenceCraftGeographyHandicraftIron Age0601 history and archaeology0105 earth and related environmental sciencesJournal of Archaeological Science: Reports
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Geomeasure: GIS and Scripting for Measuring Morphometric Variability

2019

This paper presents Geomeasure, a methodological tool developed to recover typometric information with a twofold objective. First, to speed up the process of gathering data by automatizing the way in which it is recovered. Second, it adds higher accuracy and the possibility of re-measuring archeological items without further directly interacting with the piece. Based on a combination of R scripting with GIS features, Geomeasure is at the time able to automatically gather 125–130 typometric variables per archaeological item, with the only input of vectorized photographs. It can be used as a reliable methodological aid to extract detailed information on patterns and trends of shape variabilit…

010506 paleontologyArcheologySpeedup060102 archaeologyComputer scienceProcess (computing)R Programming LanguageSample (statistics)06 humanities and the artscomputer.software_genre01 natural sciencesPerformance resultsScripting languageAnthropology0601 history and archaeologyData miningcomputer0105 earth and related environmental sciencesLithic Technology
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Estimating “land use heritage” to model changes in archaeological settlement patterns

2016

International audience; In this paper, we present a method to calculate a “land use heritage map” based on the concept of “memory of landscape”. Such a map can be seen as one variable among others influencing site location preference, and can be used as input for predictive models. The computed values equate to an index of long-term land use intensity. We will first discuss the method used for creating the land use heritage map, for which kernel density estimates are used.We will then present the use of these land use heritage maps for site location analysis in two study areas in SE France. Earlier analyses showed that the influence of the natural environment on settlement location choice i…

010506 paleontologyIndex (economics)[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory01 natural sciences[ SHS.GEO ] Humanities and Social Sciences/Geographysocio-cultural variablesOrder (exchange)memory of landscape0601 history and archaeologyRural settlement[ SHS.STAT ] Humanities and Social Sciences/Methods and statistics0105 earth and related environmental sciencesheritage map[SHS.STAT]Humanities and Social Sciences/Methods and statistics060102 archaeologyLand usePredictive modelling06 humanities and the arts[SHS.GEO]Humanities and Social Sciences/Geography15. Life on landArchaeologyPreferenceVariable (computer science)Geography[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistorysettlement pattern analysisSettlement (trust)Predictive modelling
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