Search results for "Mean squared error"

showing 10 items of 145 documents

Detecting crop water status in mature olive orchards using vegetation spectral measurements.

2014

Full spectral measurements (350–2500 nm) at tree canopy and leaf levels and the corresponding leaf water potentials (LWP) were acquired in an olive grove of Sicily, at different hours of the day, during summer season 2011. The main objective of the work was to assess, on the basis of the experimental data-set, two different approaches to detect crop water status in terms of LWP. Specifically, using existing families of Vegetation Indices (VIs) and applying Partial Least Squares Regression (PLSR) were optimised and tested. The results indicated that a satisfactory estimation of LWP at tree canopy and leaf levels can be obtained using vegetation indices based on the near infrared–shortwave in…

HydrologyLeaf Water PotentialTree canopySpectral indexMean squared errorMoistureSoil ScienceCrop Water StatuVegetationCropSpectroradiometerControl and Systems EngineeringPartial least squares regressionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliLeaf water potential; Olive tree; Field SpectroscopyAgronomy and Crop ScienceOlive treeSpectroscopyField SpectroscopyFood ScienceRemote sensingMathematics
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Modeling soil cation exchange capacity in multiple countries

2017

Abstract Cation exchange capacity (CEC), as an important indicator for soil quality, represents soil's ability to hold positively charged ions. We attempted to predict CEC using different statistical methods including monotone analysis of variance (MONANOVA), artificial neural networks (ANNs), principal components regressions (PCR), and particle swarm optimization (PSO) in order to compare the utility of these approaches and identify the best predictor. We analyzed 170 soil samples from four different nations (USA, Spain, Iran and Iraq) under three land uses (agriculture, pasture, and forest). Seventy percent of the samples (120 samples) were selected as the calibration set and the remainin…

HydrologyMean squared errorSoil test04 agricultural and veterinary sciences010501 environmental sciences01 natural sciencesSoil qualityPedotransfer functionMultivariate analysis of variancePrincipal component analysisStatistics040103 agronomy & agricultureCation-exchange capacity0401 agriculture forestry and fisheriesSoil fertility0105 earth and related environmental sciencesEarth-Surface ProcessesMathematicsEcologia dels sòls
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Assessing the performance of thermal inertia and Hydrus models to estimate surface soil water content

2017

The knowledge of soil water content (SWC) dynamics in the upper soil layer is important for several hydrological processes. Due to the difficulty of assessing the spatial and temporal SWC dynamics in the field, some model-based approaches have been proposed during the last decade. The main objective of this work was to assess the performance of two approaches to estimate SWC in the upper soil layer under field conditions: the physically-based thermal inertia and the Hydrus model. Their validity was firstly assessed under controlled laboratory conditions. Thermal inertia was firstly validated in laboratory conditions using the transient line heat source (TLHS) method. Then, it was applied in…

Hydrus010504 meteorology & atmospheric sciencesMean squared error0208 environmental biotechnologyHydrus numerical modelSoil science02 engineering and technologyHydrus numerical model; Soil thermal inertia; Soil water content; Sparse vegetation; Applied MathematicsThermal diffusivitySoil water content01 natural scienceslcsh:TechnologySparse vegetationlcsh:ChemistrySoil thermal propertiesSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliGeneral Materials ScienceTime domainSoil thermal inertiaReflectometryInstrumentationlcsh:QH301-705.50105 earth and related environmental sciencesRemote sensingFluid Flow and Transfer Processeslcsh:TProcess Chemistry and TechnologyApplied MathematicsSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaGeneral EngineeringRanginglcsh:QC1-999020801 environmental engineeringComputer Science Applicationslcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Soil waterEnvironmental sciencelcsh:Engineering (General). Civil engineering (General)lcsh:Physicssoil water content; soil thermal inertia; Hydrus numerical model; sparse vegetationSettore ICAR/06 - Topografia E Cartografia
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A Split-Window Algorithm for Estimating LST From Meteosat 9 Data: Test and Comparison With Data and MODIS LSTs

2009

The main purpose of this letter is to give an operational algorithm for retrieving the land surface temperature (LST) using the Spinning Enhanced Visible and Infrared Imager data onboard the Meteosat Second Generation (MSG2) satellite. The algorithm is a split-window method using the two thermal infrared channels IR10.8 and IR12.0. The MODTRAN 4.0 code was used to obtain numerical coefficients of the algorithm proposed. The results show that for viewing angles lower than 50deg the algorithm is capable of producing LST with a standard deviation of 0.7 K and a root-mean-square error (rmse) of 1.3 K. The algorithm has been applied to a series of MSG2 images obtained from an MSG antenna system …

In situMeteorologyLand surface temperatureMean squared errorMODTRANGeotechnical Engineering and Engineering GeologyStandard deviationEnvironmental scienceSatelliteElectrical and Electronic EngineeringSplit windowImage retrievalAlgorithmRemote sensingIEEE Geoscience and Remote Sensing Letters
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Analyzing the impact of using the SRP (Simplified roughness parameterization) method on soil moisture retrieval over different regions of the globe

2015

International audience; This paper focuses on a new approach to account for soil roughness effects in the retrieval of soil moisture (SM) at L-band in the framework of the SMOS (Soil Moisture and Ocean Salinity) mission: the Simplified Roughness Parameterization (SRP). While the classical retrieval approach considers SM and τ nad (vegetation optical depth) as retrieved parameters, this approach is based on the retrieval of SM and the TR parameter combining τ nad and soil roughness (TR τ nad + Hr /2). Different roughness parameterizations were tested to find the best correlation (R), bias and unbiased RMSE (ubRMSE) when comparing homogeneous retrievals of SM and in situ SM measurements carri…

L bandVegetation optical depth010504 meteorology & atmospheric sciencesMean squared errorvegetation mapping0211 other engineering and technologiesSampling (statistics)[SDU.STU]Sciences of the Universe [physics]/Earth SciencesSoil science02 engineering and technologySurface finish01 natural sciencesL-bandHomogeneousEnvironmental sciencesoil measurementsmicrowave radiometrysoil moistureWater contentSoil roughness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingmathematical model021101 geological & geomatics engineering0105 earth and related environmental sciences
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Elaboración de modelos 3D de diferentes morfologías y escalas utilizando técnicas Structure-from-Motion y fotografías terrestres

2016

En este trabajo se evalúan los métodos de foto-reconstrucción automatizada basados en el uso conjunto de las técnicas Structure from Motion (SfM) y Multi-View Stereo (MVS) para medir, monitorizar y cuantificar la dinámica de tres formas geomorfológicas: i) el glaciar rocoso del Corral del Veleta (Granada, España), ii) un paisaje de cárcavas de tipo calanchi (Sicilia, Italia) y ii) cinco pequeñas cabeceras de cárcava (Cáceres, España). Se incluyen en este trabajo los resultados sobre la precisión, utilidad y aplicabilidad de estas técnicas. Para la cuantificación de la precisión se utilizan el error cuadrático medio (RMSE) de los puntos de control que se emplean en la georreferenciación y la…

Laser scanningMean squared errorSettore GEO/04 - Geografia Fisica E GeomorfologiaGeography Planning and DevelopmentPoint cloudPaleontologyRock glacierGeologyPoint cloudGeographyPhotogrammetryRelative precision ratioEarth-Surface ProcesseBenchmark (surveying)Terrestrial laser scanner3D Photo-reconstructionSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliDigital elevation modelScale (map)Earth-Surface ProcessesRemote sensingCuaternario y Geomorfología
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The EORTC computer-adaptive tests measuring physical functioning and fatigue exhibited high levels of measurement precision and efficiency

2013

Objectives: The European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group is developing a computer-adaptive test (CAT) version of the EORTC Quality of Life Questionnaire (QLQ-C30). We evaluated the measurement properties of the CAT versions of physical functioning (PF) and fatigue (FA) and compared these with the corresponding QLQ-C30 scales. Study Design and Setting: Based on international samples of more than 1,000 cancer patients, we simulated CAT administration of varying numbers of items and compared the resulting scores with those based on all items in the respective item pools. Furthermore, the relative validity (RV) of CATs was compared with that of th…

MESH: FatigueMaleEpidemiologyMESH: Aged 80 and over0302 clinical medicinePhysical functioningQuality of lifeNeoplasmsSurveys and QuestionnairesActivities of Daily LivingStatisticsMESH: NeoplasmsDiagnosis Computer-Assisted030212 general & internal medicineFatigueReliability (statistics)MathematicsMESH: AgedAged 80 and overMESH: Middle AgedMiddle Agedhumanities3. Good healthMESH: Reproducibility of ResultsLevel of measurementMESH: Young AdultData Interpretation Statistical030220 oncology & carcinogenesis/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemaleAdultmedicine.medical_specialtyAdolescentMean squared errorSensitivity and SpecificityYoung Adult03 medical and health sciencesSDG 3 - Good Health and Well-beingotorhinolaryngologic diseasesmedicineHumansMESH: Surveys and QuestionnairesAgedMESH: AdolescentMESH: HumansMESH: Activities of Daily LivingMESH: Diagnosis Computer-AssistedMESH: Quality of LifeReproducibility of ResultsMESH: Adultsocial sciencesMESH: MaleMESH: Sensitivity and SpecificitySample size determinationQuality of LifePhysical therapy[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieComputerized adaptive testingMESH: Data Interpretation StatisticalMESH: FemaleRelative validity
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Validity and reliability of an inertial sensor device for specific running patterns in soccer

2021

Electronic performance tracking devices are largely employed in team sports to monitor performance and improve training. To date, global positioning system (GPS) based devices are those mainly used in soccer training. The aim of this study was to analyse the validity and reliability of the inertial sensor device (ISD) in monitoring distance and speed in a soccer-specific circuit and how their performance compare to a GPS system. 44 young male soccer players (age: 14.9 ± 1.1, range 9–16, years, height: 1.65 ± 0.10 m, body mass: 56.3 ± 8.9 kg) playing in a non-professional soccer team in Italy, participated in the study. We assessed the players trough a soccer running sport-specific circuit. …

MaleInertial frame of referenceMean squared errorAdolescentGPSValidityTP1-1185Athletic PerformanceBiochemistryArticleAnalytical ChemistryInertial sensorRunningStatisticsSoccerRange (statistics)HumansElectrical and Electronic EngineeringChildInstrumentationMathematicsSettore M-EDF/02 - Metodi E Didattiche Delle Attivita' Sportivebusiness.industryChemical technologyReproducibility of ResultsTracking systemAtomic and Molecular Physics and OpticsAssisted GPSGlobal Positioning SystemGeographic Information SystemsData monitoringPerformance monitoringbusinessData trackingSettore M-EDF/01 - Metodi E Didattiche Delle Attivita' Motorie
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Temperature measurements along a vertical borehole heat exchanger: A method comparison

2019

Abstract The standard thermal response tests (TRT) provide integral and effective thermal parameters of the ground in the vicinity of borehole heat exchangers (BHE). However, typical ground properties are heterogeneously distributed. As a result, advanced TRT such as distributed and enhanced TRT are growing in popularity as they provide more spatial information of the thermal properties. Thus, the objective of this study is to compare various instruments to measure the depth-dependent temperatures using standard Pt100-sensors, fiber optical thermometers and novel instruments such as Geowire, Geoball and GEOsniff®. The investigations are carried out in a 30 m length test borehole. The result…

Materials scienceOptical fiber060102 archaeologyMean squared errorRenewable Energy Sustainability and the Environment020209 energyAcousticsBorehole06 humanities and the arts02 engineering and technologyTemperature measurementlaw.inventionlawHeat exchangerThermal0202 electrical engineering electronic engineering information engineering0601 history and archaeologyImage resolutionHeat pumpRenewable Energy
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Predicting sediment deposition rate in check-dams using machine learning techniques and high-resolution DEMs

2021

Sediments accumulated in check dams are a valuable measure to estimate soil erosion rates. Here, geographic information systems (GIS) and three machine learning techniques (MARS-multivariate adaptive regression splines, RF-random forest and SVM-support vector machine) were used, for the first time, to predict sediment deposition rate (SR) in check-dams located in six watersheds in SW Spain. There, 160 dry-stone check dams (~ 77.8 check-dams km−2), accumulated sediments during a period that varied from 11 to 23 years. The SR was estimated in former research using a topographical method and a high-resolution Digital Elevation Model (DEM) (average of 0.14 m3 ha−1 year−1). Nine environmental-to…

Mean squared error0208 environmental biotechnologyMean absolute errorSoil ScienceHigh resolution02 engineering and technology010501 environmental sciencesMachine learningcomputer.software_genre01 natural sciencesEnvironmental ChemistryDigital elevation model0105 earth and related environmental sciencesEarth-Surface ProcessesWater Science and TechnologyGlobal and Planetary ChangeMultivariate adaptive regression splinesbusiness.industryGeologyMars Exploration ProgramPollution020801 environmental engineeringCheck dam Machine learning techniques Sediment deposition rate (SR) Structure-from-motion (SfM) Unmanned aerial vehicle (UAV)Support vector machineArtificial intelligencebusinesscomputerCheck dam
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