Search results for "Sensitivity analysi"

showing 10 items of 110 documents

Gaussian Process Sensitivity Analysis for Oceanic Chlorophyll Estimation

2017

Source at https://doi.org/10.1109/JSTARS.2016.2641583. Gaussian process regression (GPR) has experienced tremendous success in biophysical parameter retrieval in the past years. The GPR provides a full posterior predictive distribution so one can derive mean and variance predictive estimates, i.e., point-wise predictions and associated confidence intervals. GPR typically uses translation invariant covariances that make the prediction function very flexible and nonlinear. This, however, makes the relative relevance of the input features hardly accessible, unlike in linear prediction models. In this paper, we introduce the sensitivity analysis of the GPR predictive mean and variance functions…

Atmospheric Science010504 meteorology & atmospheric sciencesoceanic chlorophyll prediction0211 other engineering and technologiesLinear prediction02 engineering and technology01 natural sciencesPhysics::Geophysicssymbols.namesakekernel methodsKrigingStatistics14. Life underwaterSensitivity (control systems)Gaussian process regression (GPR)Computers in Earth SciencesGaussian processVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsVDP::Technology: 500::Information and communication technology: 550Spectral bandsKernel methodPosterior predictive distributionsensitivity analysis (SA)Kernel (statistics)symbolsAlgorithm
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Hyperspectral response of agronomic variables to background optical variability: Results of a numerical experiment

2022

Understanding how biophysical and biochemical variables contribute to the spectral characteristics of vegetation canopies is critical for their monitoring. Quantifying these contributions, however, remains difficult due to extraneous factors such as the spectral variability of canopy background materials, including soil/crop-residue moisture, soil-type, and non-photosynthetic vegetation (NPV). This study focused on exploring the spectral response of two important agronomic variables (1) leaf chlorophyll content (Cab ) and (2) leaf area index (LAI) under various canopy backgrounds through a global sensitivity analysis of wheat-like canopy spectra simulated using the physically-based PROSAIL …

Atmospheric ScienceResilient LivelihoodsLEAF-AREA-INDEXSoil typePHOTOCHEMICAL REFLECTANCE INDEXBIOPHYSICAL PROPERTIESMeteorology & Atmospheric SciencesAdaptationLeaf chlorophyll contentGlobal and Planetary ChangeScience & TechnologyVEGETATION INDEXESSPECTRAL INDEXESGLOBAL SENSITIVITY-ANALYSISAgricultureNon-photosynthetic vegetationForestry22/4 OA procedureAgronomyHyperspectral responseGlobal sensitivity analysisITC-ISI-JOURNAL-ARTICLEPhysical SciencesLeaf area indexCHLOROPHYLL CONTENTGREEN LAILife Sciences & BiomedicineCANOPY REFLECTANCEAgronomy and Crop ScienceRADIATIVE-TRANSFER MODELAgricultural and Forest Meteorology
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Women’s empowerment and child mortality: the case of Bangladesh

2018

Bangladesh is the Southern Asian country that has been experiencing the highest absolute decline in the Under Five Mortality Rate in the past 15 years. This paper focuses on the importance of women’s education and empowerment variables in explaining this extraordinary result. We use a twolevel multilevel logistic regression to take into account the great differences among territorial communities in terms of child mortality reduction. It emerges that the importance of woman’s empowerment - measured as individual and as mother - remains relevant even when the context is considered. A sensitivity analysis has been conducted to test the relevance of different indicators of female empowerment.
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DEALING WITH RISK IN AGRICULTURE: A CROP LEVEL ANALYSIS AND MANAGEMENT PROPOSAL FOR ITALIAN FARMS

2020

Risk management plays a critical role in agriculture, which is particularly exposed to multiple and heterogeneous risk factors. In addition to the traditional basic risks that generally characterize any business venture, agriculture faces external factors, generally difficult to control and with a strong impact on farm profitability. These are firstly environmental (pests and diseases) and climatic conditions that affect the quantity and quality of agricultural production, but also the structural constraints of the agricultural market, which is characterised by a high degree of supply rigidity, price volatility and inelasticity of demand. This leads to the need to implement risk management …

CAP PolicieRisk managementSettore AGR/01 - Economia Ed Estimo RuralehazelnutGross MarginProfitabilitysensitivity analysiIncome Stabilization ToolMonte Carlo simulationRisk analysi
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Uncertainty in environmental and hydrological mathematical modelling

2012

The current state of knowledge regarding uncertainties in urban drainage models is poor. This is in part due to the lack of clarity in the way model uncertainty analyses are conducted and how the results are presented and used. There is a need for a common terminology and a conceptual framework for describing and estimating uncertainties in urban drainage models. Practical tools for the assessment of model uncertainties for a range of urban drainage models are also required to be developed. This paper, produced by the International Working Group on Data and Models, which works under the IWA/IAHR Joint Committee on Urban Drainage, is a contribution to the development of a harmonised framewor…

Calibration dataSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleUncertaintieUrban drainage models; Uncertainties; Input data; Calibration data; Sensitivity analysisInput dataSensitivity analysisUrban drainage model
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Quantifying the Robustness of Vegetation Indices through Global Sensitivity Analysis of Homogeneous and Forest Leaf-Canopy Radiative Transfer Models

2019

Vegetation indices (VIs) are widely used in optical remote sensing to estimate biophysical variables of vegetated surfaces. With the advent of spectroscopy technology, spectral bands can be combined in numerous ways to extract the desired information. This resulted in a plethora of proposed indices, designed for a diversity of applications and research purposes. However, it is not always clear whether they are sensitive to the variable of interest while at the same time, responding insensitive to confounding factors. Hence, to be able to quantify the robustness of VIs, a systematic evaluation is needed, thereby introducing a widest possible variety of biochemical and structural heterogeneit…

Canopy010504 meteorology & atmospheric sciences0211 other engineering and technologiesImaging spectrometer02 engineering and technology01 natural sciencesprosailEnMAPRadiative transferSensitivity (control systems)Leaf area indexglobal sensitivity analysis; vegetation indices; PROSAIL; INFORM; ARTMOlcsh:Science021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingartmoSpectral bandsVegetation15. Life on landinformglobal sensitivity analysisvegetation indicesGeneral Earth and Planetary SciencesEnvironmental sciencelcsh:QRemote Sensing
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LIFE CYCLE ASSESSMENT OF ITALIAN CITRUS BASED PRODUCTS. SENSITIVITY ANALYSIS AND IMPROVMENT SCENARIOS

2010

Though many studies concern the agro-food sector in the EU and Italy, and its environmental impacts, literature is quite lacking in works regarding LCA application on citrus products. This paper represents one of the first studies on the environmental impacts of citrus products in order to suggest feasible strategies and actions to improve their environmental performance. In particular, it is part of a research aimed to estimate environmental burdens associated with the production of the following citrus-based products: essential oil, natural juice and concentrated juice from oranges and lemons. The life cycle assessment of these products, published in a previous paper, had highlighted sign…

Citrus Life cycle assessment Water Energy Improvement scenarios Sensitivity analysisSettore ING-IND/11 - Fisica Tecnica Ambientale
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Daily streamlow prediction with uncertainty in ephemeral catchments using the GLUE methodology

2009

Abstract The Generalised Likelihood Uncertainty Estimation (GLUE) approach is presented here as a tool for estimating the predictive uncertainty of a rainfall–runoff model. The GLUE methodology allows to recognise the possible equifinality of different parameter sets and assesses the likelihood of a parameters set being acceptable simulator when model predictions are compared to observed field data. The results of the GLUE methodology depend greatly on the choice of the likelihood measure and on the choice of the threshold which determines if a parameters set is behavioural or not. Moreover the sampling size has a strong influence on the uncertainty assessment of the response of a rainfall–…

Computer scienceSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaEquifinalityVariance (accounting)Measure (mathematics)GeophysicsGeochemistry and PetrologySample size determinationStatisticsEconometricsSample varianceSensitivity analysisGLUEPredictive uncertainty Rainfall-Runoff model Generalized Likelehood Uncertainty Estimation Ephemeral catchmentsUncertainty analysis
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Economic analysis of PV systems on buildings in Sicilian farms

2013

Abstract The photovoltaic sector in Italy in recent years has experienced a rapid growth also in the primary sector, thanks to substantial incentives guaranteed by energy policies, simultaneous reduction of investment costs and tax benefits. In order to better understand the growth of the PV industry in Italian primary sector, the aim of this paper has been to evaluate the economic convenience of four PV systems on farm buildings located in four different farms of the north-western coast of Sicily and realized during the second and fourth Italian feed-in schemes. For each feed-in scheme it has been considered a PV plant that sells the electricity to the grid and another in which the energy …

Cost–benefit analysis Feed-in scheme Sensitivity analysisCost–benefit analysisPublic economicsRenewable Energy Sustainability and the Environmentbusiness.industryPhotovoltaic systemTariffInvestment (macroeconomics)Energy policyAgricultural economicsIncentivePrimary sector of the economySettore AGR/01 - Economia Ed Estimo RuraleEconomicsElectricitybusinessRenewable and Sustainable Energy Reviews
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Economic comparison between offshore and inshore aquaculture production systems of European sea bass in Italy

2014

Abstract Offshore production system is predicted to increase in the near future driven by the lack of coastal space and lower environmental impacts. The aim of this paper has been to evaluate the economic performance of offshore production system respect to inshore one, by comparing net present value (NPV), discounted payback time (DPBT) and internal rate of return (IRR) of two Italian mariculture farms that produce European sea bass. Results showed a better economic profitability of offshore farm, even if sensitivity analysis revealed that financial indicators of both aquaculture production systems have been very sensitive to market condition changes. So, offshore production system could r…

Cost–benefit analysisbusiness.industryInternal rate of returnAquatic ScienceBiologyNet present valueFisheryAquacultureCost–benefit analysis Dicentrarchus labrax Financial indicators Monte Carlo analysis Sensitivity analysisSettore AGR/01 - Economia Ed Estimo RuraleProduction (economics)MaricultureProfitability indexSea bassbusinessAquaculture
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