Climate change and drought modeling based on remote sensing data

نوع: Type: thesis

مقطع: Segment: masters

عنوان: Title: Climate change and drought modeling based on remote sensing data

ارائه دهنده: Provider: ali tayebi

اساتید راهنما: Supervisors: Dr. Morteza Heidari Mozaffar-Dr. Yousef Rezaei

اساتید مشاور: Advisory Professors:

اساتید ممتحن یا داور: Examining professors or referees: Dr. Hossein Torabzadeh-Dr. Hadi Rezaei Rad

زمان و تاریخ ارائه: Time and date of presentation: 2022

مکان ارائه: Place of presentation: Room 2

چکیده: Abstract: Climate change is a significant development as a global challenge in social, economic and agricultural issues. Changes in change cycles and patterns of temporal and spatial distribution are among these phenomena that have been formed due to natural factors or as a result of human activities. The phenomenon of climate change is one of the problems that has always been considered in the world. Awareness of climate change can be used in proper resource planning and management. In this study, changes in climatic elements, including minimum and maximum air temperature and also the average monthly velocity in the spatial area of Hamadan province, were analyzed according to remote sensing data on access and assistance by artificial neural network method

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