12851

11757

كارشناسي ارشد

ارزيابي و آمايش سرزمين

اصفهان: دانشگاه صنعتي اصفهان، دانشكده منابع طبيعي

1396

يازده، 71ص.: مصور، جدول، نقشه، نمودار

ص.ع. به فارسي و انگليسي

عليرضا سفيانيان، سعيد پورمنافي

علي لطفي، سعيد سلطاني

1396/07/15

كتابنامه

منابع طبيعي

مهندسي منابع طبيعي

ID11757

0 Assessing and Mapping the Spatial Pattern of Agricultural Lands Using Remote Sensing in East of Isfahan Rezvan Safdari Rezvan safdary@yahoo com August Department of Natural Resources Isfahan University of Technology Isfahan IranDegree MSc Language PersianDr Ali Reza Soffianian Soffianian@cc iut ac irDr Saeid Pourmanafi spourmanafi@cc iut ac irAbstract Acquiring accurate data about the area under the cultivation of crops and types and segmentation of agricultural lands are one of the most important and necessary information in the management and planning of agricultural lands Development of remote sensing in recent years leads to constructing reliable and strong framework for better evaluation of agricultural lands In this case an attempt was made in this study to investigate and produce spatial information about crop types and their spatial structure in Seqzi hydrological unit in the center of Isfahan Province and west of Isfahan city Based on the recommended framework in order to acquire the relevant information to agricultural area Pixel based methods was used to determine the type of the main crops cultivated in the study are object based methods was used to delineate the shape and pattern of agricultural lands and finally a set of landscape metrics was used to quantify the spatial pattern and structure of agricultural lands A combined algorithm was employed in the first phase to map two kinds of the main crops of the study area including wheat and alfalfa using two images acquired in April and June in an acceptable accuracy statistics kappa coefficient of and overall accuracy of After that by using all spectral bands of satellite images the object based method was used to extract the agricultural segments To do so two spatial index of shape and compactness with thresholds of and as well as mean value of spectral signatures was utilized Finally by assigning the weight of double than that for other spectral bands to near infra red band all segments related to agricultural lands were extracted Spatial assessments conducted on the extracted data showed that of the agricultural lands of the study area belongs to wheat about and alfalfa about Furthermore analysis carried out on the agricultural segments revealed that over thousands farms exist in the study area which two third of that with mean patch size of and farms per hectare is related to the area under the cultivation of wheat and alfalfa occupied the rest one third of lands with mean patch size of and farms per hectare The small size and density of wheat lands in comparison to alfalfa lands in essentially related to the small scale livestock centers which are distributed over the study area The results of this study showed that using a set of remote sensing methods and the integration of results could effectively lead to producing valuable information for better management and planning of agricultural lands in the study area Keywords Agricultural lands pixel based remote sensing object base analysis Seqzi Hydrological Unit

عليرضا سفيانيان، سعيد پورمنافي

علي لطفي، سعيد سلطاني