The Sentinel-2 Multi-Spectral Imager (MSI) has three spectral bands centered at 705, 740, and 783 nm wavelengths that exploit the red-edge information useful for quantifying plant biochemical traits. This sensor confi...
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The Sentinel-2 Multi-Spectral Imager (MSI) has three spectral bands centered at 705, 740, and 783 nm wavelengths that exploit the red-edge information useful for quantifying plant biochemical traits. This sensor configuration is expected to improve the prediction accuracy of vegetation chlorophyll content. In this work, we assessed the performance of several statistical and physical-based methods in retrieving canopy chlorophyll content (CCC) from Sentinel-2 in a heterogeneous mixed mountain forest. Amongst the algorithms presented in the literature, 13 different vegetation indices (VIs), a non-parametric statistical approach, and two radiative transfer models (RTM) were used to assess the CCC prediction accuracy. A field campaign was conducted in July 2017 to collect in situ measurements of CCC in Bavarian forest national park, and the cloud-free Sentinel-2 image was acquired on 13 July 2017. The leave-one-out cross-validation technique was used to compare the VIs and the non-parametric approach. Whereas physical-based methods were calibrated using simulated data and validated using the in situ reference dataset. The statistical-based approaches, such as the modified simple ratio (mSR) vegetation index and the partial least square regression (PLSR) outperformed all other techniques. As such the modified simple ratio (mSR3) (665, 865) gave the lowest cross-validated RMSE of 0.21 g/m(2) (R-2 = 0.75). The PISR resulted in the highest R-2 of 0.78, and slightly higher RMSE = 0.22 g/m(2) than mSR3. The physical-based approach-INFORM inversion using look-up table resulted in an RMSE = 0.31 g/m(2), and R-2 = 0.67. Although mapping CCC using these methods revealed similar spatial distribution patterns, over and underestimation of low and high CCC values were observed mainly in the statistical approaches. Further validation using in situ data from different terrestrial ecosystems is imperative for both the statistical and physical-based approaches' effectiveness to quantify
This article proposes to discuss the exploratory use of two quantitative methods: on the one hand sequence analysis combined with optimal matching methods, and on the other hand geometric data analysis, more specifica...
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This article proposes to discuss the exploratory use of two quantitative methods: on the one hand sequence analysis combined with optimal matching methods, and on the other hand geometric data analysis, more specifically multiple correspondence analysis and principal component analysis, combined with hierarchical ascending classifications. The aim is not to determine whether one method is more effective than another, nor to pit them against each other. The aim is to identify similarities and differences, and, more generally, to reflect on the cross-use of quantitative methods. The approach is decidedly practical and reflective. It consists of opening up the kitchen of implementation through a case study: build a typology of the professional futures of the accredited parliamentary assistants at the European Parliament. The paper defends the idea that typologies are tools and stages in analysis. Putting these methods to the test in this way aims to highlight several issues, suggest avenues of analysis, and highlight the need to explore the data using a variety of tools. This text is an invitation to compare and combine methods, and to use them in a considered and non-mechanical way, taking into account their strengths but also their weaknesses, which are also instructive. Matche(r) de(s) m & eacute;thodes pour d & eacute;crire des carri & egrave;res professionnelles : Analyse de s & eacute;quence et Analyse g & eacute;om & eacute;trique de donn & eacute;es. Cet article discute l'utilisation exploratoire de deux m & eacute;thodes quantitatives : d'une part l'analyse de s & eacute;quences combin & eacute;e & agrave;des m & eacute;thodes d'appariement optimal;d'autre part l'analyse g & eacute;om & eacute;trique des donn & eacute;es, plus pr & eacute;cis & eacute;ment l'analyse des correspondances multiples et l'analyse en composantes principales, combin & eacute;e & agrave;des classifications ascendantes hi & eacute;rarchiques. L'objectif n'est pas de d & eacute;terminer
The optimal process conditions of the advanced aqueous method for recovering oil and de-oiled meal from pumpkin seed kernels were: baking the kernels at 110 degrees C for 1 min, grinding them to pass through a sieve o...
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The optimal process conditions of the advanced aqueous method for recovering oil and de-oiled meal from pumpkin seed kernels were: baking the kernels at 110 degrees C for 1 min, grinding them to pass through a sieve of 150 um pore size, adding 1.60 ml brine to 10.00 g ground kernels, stirring for 30 min at 30 degrees C, centrifuging at 4000 r/min for 30 min and cold-pressing the residue from centrifugation. This method recovered > 94% oil. Its oil recovery rate was comparable to that of solvent extraction and higher than that of enzyme-assisted aqueous method or hot-pressing. It recovered edible oil with higher quality and level of coenzyme Q10, tocopherols, carotenoids, total phytosterols and squalene as compared to solvent extraction or hot-pressing and requirements of China's national standard. It is superior to enzyme-assisted aqueous method or hot-pressing for recovering de-oiled meal which is suitable for making texturized protein.
The correlation coefficient is a statistical measure often used in studies to show an association between variables or to look at the agreement between two methods. In this paper, we will discuss not only the basics o...
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The correlation coefficient is a statistical measure often used in studies to show an association between variables or to look at the agreement between two methods. In this paper, we will discuss not only the basics of the correlation coefficient, such as its assumptions and how it is interpreted, but also important limitations when using the correlation coefficient, such as its assumption of a linear association and its sensitivity to the range of observations. We will also discuss why the coefficient is invalid when used to assess agreement of two methods aiming to measure a certain value, and discuss better alternatives, such as the intraclass coefficient and Bland-Altman's limits of agreement. The concepts discussed in this paper are supported with examples from literature in the field of nephrology.
Introduction: Locomotor activity recordings are widely used in different physiological and pharmacological studies. There are two mainly used methods -radiotelemetry and photobeam recording systems. To our knowledge, ...
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Introduction: Locomotor activity recordings are widely used in different physiological and pharmacological studies. There are two mainly used methods -radiotelemetry and photobeam recording systems. To our knowledge, these methods have not previously been directly and simultaneously compared. methods: The current study consisted of a comparison of locomotor activity data gained simultaneously from radiotelemetry and photobeam recordings, firstly from a robotic device and secondly from an animal experiment performed with mice. Results: Data gained from the animal study showed relatively high variation, but overall agreement between the methods was good. Discussion: The two methods were cross-validated in the current study. The data gained from both methods were in good general agreement. However, in an animal experiment, e.g. when sedative drugs or other behavior-modifying interventions are used, one should interpret the results with caution as alterations in animal behavior (e.g. in grooming) may possibly not be picked up similarly by the two methods. (C) 2014 Elsevier Inc. All rights reserved.
The purpose of the study was to determine the effectiveness of selected teaching strategies in theremediation of process errors committed by students in mathematics in senior secondary schools. Four hypotheseswere for...
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The purpose of the study was to determine the effectiveness of selected teaching strategies in theremediation of process errors committed by students in mathematics in senior secondary schools. Four hypotheseswere formulated to guide the study. The study employed the quasi–experimental design. Sample for the study consistedof two hundred and seven (207) students drawn from six senior secondary schools randomly selected from the threehundred and sixty senior secondary schools in Edo State. The Diagnostic Test on Mathematics (DIATOM) was usedto collect data for the study. Data collected were analysed using analysis of covariance (ANCOVA) and z-test for twopopulation proportions. Results of data analysis revealed that the direct instruction was a more effective strategy forthe remediation of process errors committed by students in mathematics. Sex and school location were shown not tohave had any significant influence on the effectiveness of either strategy. The study recommended that enoughpractice activities should be given to students during class sessions to assist them develop mastery of content taught.
We have developed a framework, FOCSAAM, for comparing software architecture analysis methods. FOCSAAM can help architects and managers to choose a specific method to support architecture analysis process. We have been...
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Background: The accurate identification of suicidal individuals is an important but complex process. Common approaches to suicide assessment include self-report tools and clinician interview. Purpose: The purpose of t...
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