Determining and monitoring the Phenology curve and product cultivation level using time series of satellite images Landsat 8 (Case Study: Agricultural Lands of Qom Province)

Studies show that landing area crops and crop growth curves for countries have provided them with several million new jobs and billions of dollars in gross income, with more than 50% of them being farmers. Due to the growth curve of crops in 8 plots of land applied to Landsat 8 images, alfalfa (105) had the best, most lively and least stressful vegetation, and alfalfa (303) had the least vegetation at peak vegetation growth and also The highest coefficient of variation was in its growth curve. According to the results obtained from the crop area of NDVI image, we found that wheat (304) had the highest difference and wheat (108) had the least difference. In the year 98, the total area of these 8 plots is 82.775 hectares and according to the results of the company was 89 hectares. In other words, the area calculated from the NDVI image in 1398 was only about 7% lower.