Parcel Based Evaluation of NDVI Values Distribution from Landsat Satellite Images, A case study of Uluda？ University, Faculty of Agriculture Farm

Remote sensing is often a reliable method of providing economic solutions in areas of decision-making and natural resource development monitoring. It is possible to monitor and determine the seasonal and annual changes of the vegetation cover courtesy of satellites with high spatial resolutions. Vegetation Index is widely used to estimate some biophysical parameters, such as biomass, active photosynthetic radiation, using reflection values from various bands in the satellite image. This study was aimed to evaluate the vegetation cover index NDVI (Normalized Difference Vegetation Index) values by using 29 images of Landsat satellite that cover the farm land of Uluda？ University Faculty of Agriculture between 2013-2017. NDVI maps were created to determine the positional distribution of NDVI values in the parcels. In addition, wheat, corn, sunflower and alfalfa yields in parcels and NDVI values were investigated statistically. At the end of the study, it was observed that the NDVI values changed as they moved away from the parcel boundary due to the relatively small parcels in the area of study. In addition, despite the normal distribution of the NDVI values obtained in the parcels, significant differences were observed between the minimum and maximum values