بررسي برخي از خصوصيات خاك با استفاده از داده هاي سنجنده ASTER درمنطقه شمال و شمال شرق اصفهان

چكيده انگليسي :

Invastigation of some soil properties by using ASTER S data in North and North East of Isfahan Delaram ziaye jaazi d ziaie@yahoo com March 10 2009 Department of natural Resourses Isfahan University of Tecnology Isfahan 84156 83111 IranDegree M Sc Language FarsiSupervisor Dr S J KhajedinAbstractOne of the major hindrance to Iran s natural resources is a paucity of information on ecosystem that eventuallyfollow retrogressive step in water and soil potentiality and even vegetation and rich greenery that results indesertification For studying and determining the velocity and trend of deforestation there are need for wide range ofspatial and chronological data facts and information and also it is indispensible that various index such as soilerosion soil and water salinity vegetation and their abundance drought intensity environmental destruction ofhydro equilibrium density of human population livestock and wild animal population are needed full scale study Regarding the high capability of satellite images such as being up to date multi spectra recurrent extensivecoverage and ever increasing the spectral and spatial resolution of those images they can come in useful for studyingthe different attributes of desertification like salinity and alkalizing the farm lands The main goals of this study arethe investigation of the possibility of preparing the map for different features of the soil in accordance with physical chemical of soils and even the investigation of the possibility of segregation of saline farm lands from alkaline landsby satellites data and the assessment of efficiency of these data in determining the amount of saline and alkalinesoils in drought places The Aster measured images because of being active band at different length including visual near infra red short wave infra red termal infra red and suitable ground resolution are recognized as suitable onesfor the purpose of fulfilling the goals Firstly the images with the mean of 0 1 deviance are corrected ingeometrically manner Then the best combination for continuing the artificial colored images in respect to the OIFindex in a form of 6 3 8 combination are determined in a way that this combination can be used in exerting theunsupervised classification Then in each of the segregated cluster by the unsupervised classification 6 points forsampling of the topsoil was chosen and in the field trip the coordinate of the points were extracted by making use ofmanual GPS The topsoil was sampled and those samples were taken into laboratory for carrying out someexperiment in terms of physical and chemical peculiarities of them On the images the processing like PCAanalyzing providing the different index of soil and fusing the band were done For the purpose of providing thecontinuous ordnance survey map of soil properties the area was studied by making use of 3 different modelingmethods in forms of multi variable linear Rogation model supervised classification and artificial nerve system Inthis respect for preparing the design firstly each parameter of the soil by using of Regration method should bemodeled and examined and in case of fulfilling the meaningful model in statistical terms with having high R2 providing design with proposed parameter of the soil will be implemented In addition to having these Regration pdfMachine is a pdf writer that produces quality PDF files with ease Get yours now Thank you very much I can use Acrobat Distiller or the Acrobat PDFWriter but I consider your product a lot easier to use and much preferable to Adobe s A Sarras USA

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بررسي برخي از خصوصيات خاك با استفاده از داده هاي سنجنده ASTER درمنطقه شمال و شمال شرق اصفهان

شوري PCA , شاخصهاي خاك , شاخص OIF , رگرسيون خطي , طبقه بندي نظارت شده , شبكه عصبي مصنوعي