Teaching project-oriented course on the basics of remote sensing with the subject of assessing the area of vegetation and agricultural lands of Birjand city through Lan dsat 8 satellite images

One of the practical lessons for geography students is the basics of remote sensing. This course was taught in a practical, project-oriented manner according to the topics, this teaching method was very useful, informative and practical for students. After graduating from Farhangian University, students will master the technique of using satellite image download, working with ENVI and Arc GIS software. The aim of this study was to estimate the level of vegetation and agricultural lands of Birjand city through Landsat 8 saw mill images using NDVI index. Birjand city is the center of South Khorasan province. The data used are: data obtained from library sources, statistical data, satellite images of Landsat 8 dated 28/06/2020 AD. Landsat 8 Multi Spectral satellite images of OLI - TIRS sensor in ENVI software version 3.5 were cut with 30m pixel size using Birjand city file slope map, preprocessing, radiometric corrections and atmospheric corrections were performed. The Landsat 8 Panchromatic 8 lane was upgraded to 15 meters. Based on IDL programming language, using NDVI index, ROI of Landsat 8 images was obtained, then threshold output was calculated between maximum 1 and minimum 0.2 and with a Shipe file output in ENVI and Arc Map software, vegetation area and land area Farms of Birjand city have been calculated and concluded on the date of receiving satellite images.