بررسی روند تغییرات طیف بازتابی مزارع چغندرقند با استفاده از داده‌های سنجنده MODIS

Remote sensing technology is widely used in environmental and agricultural research works, and nowadays it has become a valuable and reliable source of information for the management of crop production and assessment of global supply and demands for these products. The objective of this study was to investigate the feasibility of using MODIS data and vegetation indices based on sugar beet growth monitoring. For this purpose, MODIS 8-day red and near infrared surface reflectance data at 250 m spatial resolution (MOD09Q1 collection 5) was used. Imagery data was acquired from mid-May to end of December 2011 from the sugar beet fields located at Eqlid, Fars province, Iran. Results showed that although red and near infrared reflectance differences were relatively small at the beginning of sugar beet growing season, these differences were enhanced with canopy development and ground cover. The most red absorption and near infrared reflectance were in the maximum ground cover, and the most dramatic declines in the near infrared reflectance and relative increase in red reflectance were observed at harvest time. Thus in the existing climate and crop management conditions in the Fars province and Iran, MODIS data can be used to monitor changes in canopy growth of such crops as sugar beet.