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Evapotranspiration estimation using SEBAL algorithm integrated with remote sensing and experimental methods

International Journal of Digital Earth 2021年第11期14卷 1638-1658页

作者： Nazila Shamloo Mohammad Taghi Sattari Halit Apaydin khalil valizadeh kamran Ramendra Prasad Department of Water Engineering Agriculture FacultyUniversity of TabrizTabriz ***Iran Department of Agricultural Engineering Faculty of AgricultureAnkara UniversityAnkara 06110 Turkey Department of Remote Sensing and GIS University of TabrizTabriz ***Iran Department of Science School of Science and TechnologyThe University of FijiFiji

Evapotranspiration is one of the most important elements of the hydrological *** of evapotranspiration is imperative for effective forest,irrigation,rangeland and water resources management as well as to increase yields and for better crop *** study aims to evaluate the effectiveness of the Surface Energy Balance Algorithm for Land(SEBAL)in estimating evapotranspiration and crop coefficient of corn in the Mediterranean region of Adana province,*** Landsat 8 satellite images from March to September 2018 were used to acquire the coefficients of the respective ***,the net radiation flux on the earth’s surface and the earth’s heat flux is obtained using incoming-outgoing radiation fluxes from albedo,surface emissivity coefficients,land surface temperature,and plant ***,the sensible heat flux is calculated by determining the hot and cold pixels under consideration via the atmospheric stability ***,evapotranspiration maps are *** crop coefficient of corn is also estimated with the respected maps being *** validate the outcomes from the SEBAL algorithm,experimental methods were employed to calculate the evapotranspiration values and evaluated using suitable performance *** results showed that the SEBAL generated evapotranspiration values are in high agreement with the FAO Penman-Monteith method registering the highest correlation(R=0.91)and the lowest error(RMSE=1.14).In addition,the SEBAL method registered the highest correlation values of 0.89,0.87 and 0.68 with Turk,Makkink and Hargreaves experimental methods,***,the crop coefficients estimated using SEBAL also manifested an acceptable correlation with all *** highest correlation value registered was with the FAO Penman-Monteith method(R=0.98).The outcomes show that since the performance of the SEBAL algorithm in estimating the actual evapotranspiration and crop coefficient using Landsat 8 satellite images

关键词： Actual evapotranspiration crop coefficient corn SEBAL Landsat 8 Adana

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Spatial Correlation Module for Classification of Multi-Label Ocular Diseases Using Color Fundus Images

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Computers, Materials & Continua 2023年第7期76卷 133-150页

作者： Ali Haider Khan Hassaan Malik Wajeeha khalil Sayyid kamran Hussain Tayyaba Anees Muzammil Hussain Department of Software Engineering Faculty of Computer SciencesLahore Garrison UniversityLahorePakistan Department of Computer Science School of Systems and TechnologyUniversity of Management and TechnologyLahore54000Pakistan Department of Computer Science&Information Technology University of Engineering and Technology(UET)PeshawarPakistan Department of Computer Science TIMES InstituteMultan60000Pakistan Department of Software Engineering School of Systems and TechnologyUniversity of Management and TechnologyLahore54000Pakistan

To prevent irreversible damage to one’s eyesight,ocular diseases(ODs)need to be recognized and treated *** fundus imaging(CFI)is a screening technology that is both effective and *** to CFIs,the early stages of the disease are characterized by a paucity of observable symptoms,which necessitates the prompt creation of automated and robust diagnostic *** traditional research focuses on image-level diagnostics that attend to the left and right eyes in isolation without making use of pertinent correlation data between the two sets of *** addition,they usually only target one or a few different kinds of eye diseases at the same *** this study,we design a patient-level multi-label OD(PLML_ODs)classification model that is based on a spatial correlation network(SCNet).This model takes into consideration the relevance of patient-level diagnosis combining bilateral eyes and multi-label ODs ***_ODs is made up of three parts:a backbone convolutional neural network(CNN)for feature extraction i.e.,DenseNet-169,a SCNet for feature correlation,and a classifier for the development of classification *** DenseNet-169 is responsible for retrieving two separate sets of attributes,one from each of the left and right *** then,the SCNet will record the correlations between the two feature sets on a pixel-by-pixel *** the attributes have been analyzed,they are integrated to provide a representation at the patient *** the whole process of ODs categorization,the patient-level representation will be *** efficacy of the PLML_ODs is examined using a soft margin loss on a dataset that is readily accessible to the public,and the results reveal that the classification performance is significantly improved when compared to several baseline approaches.

关键词： Ocular disease multi-label spatial correlation CNN eye disease

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Textile Environmental Conditioning: Effect of Relative Humidity Variation on the Tensile Properties of Different Fabrics

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Journal of Analytical Sciences, Methods and Instrumentation 2012年第2期2卷 92-97页

作者： Mansoor Iqbal Munazza Sohail Aleem Ahmed kamran Ahmed Arsheen Moiz khalil Ahmed Applied Chemistry Research Centre PCSIR Laboratories Complex Karachi Pakistan

With the aim that to confirm the need for humidity control in the environment in which textile sample are visually and instrumentally analyzed, three different pre-conditioned fabrics sample of cotton, polyester and silk were treated at a fix temperature of 21?C. The relative humidity adjusted to four levels: 55%, 65%, 75% and 85% RH for a conditioning time of 24 hours as specified in ASTM D-1776-98. It has been observed that as the relative humidity increase from 55% to 85% cotton increase its tensile strength, silk losses its strength and there was no significant change observed in the tensile strength of polyester fabric.

关键词： Tensile Properties Relative Humidity Temperature Fiber Silk Polyester Cotton

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Comparison between Pigment Printing Systems with Acrylate and Butadiene Based Binders

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Journal of Analytical Sciences, Methods and Instrumentation 2012年第2期2卷 87-91页

作者： Mansoor Iqbal Javaid Mughal Munazza Sohail Arsheen Moiz kamran Ahmed khalil Ahmed Applied Chemistry Research Centre PCSIR Laboratories Complex Karachi Pakista Applied Chemistry Research Centre PCSIR Laboratories Complex Karachi Pakistan

Pigment printing was carried out on lab scale by simple screen-printing techniques. By the application of acrylate and butadiene based binder, the crocking fastness, formaldehyde release and PVC migration of fabric printed with Imparon red KB pigment was evaluated. The effect of curing time on K/S values was also investigated. It has been found that butadiene based binder shows good performance in terms of crocking fastness, formaldehyde release and PVC migra-tion. It has also been observed that by increasing the binder concentration, the release of formaldehyde decreased and by increasing the curing time, the K/S values of printed fabric were decreased.

关键词： Printing Pigment Binder Acrylate Butadiene

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