Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2015, Vol. 12, No. 1, pp. 9-17
NDVI seasonal dynamics of perennial grasses and its use for classification of their crops in the Belgorod Region
1 Belgorod State National Research University, Federal and Regional Centre for Aerospace Monitoring , Belgorod, Russia
Results of the study of the seasonal dynamics of NDVI index and spectral reflection properties of perennial grasses grown in the Belgorod region are presented. NDVI values based on MOD13Q1 data obtained from MODIS images at intervals of 16 days were studied. Seasonal NDVI values during the period from March 5 to December 2, 2012 on the basis of data from 100 agricultural fields were studied. Seasonal dynamics of NDVI allowed us to classify fields with perennial grasses, different in terms of seeding and number of mowings. Fields differing in terms of grass seeding were identified on the basis of different values of the index in the early to mid-April period. It was found that for fields with previous-year seeding the NDVI values in the early to mid April were significantly higher than those for fields with grass seeded the current year. Increased values of NDVI index for fields with perennial grass crops from previous years help detecting these fields against other fields, except for fields with winter crops. Fields that differ in number of mowings during a year are identified by the number of sharp drop in index values observed after each mowing.
Keywords: perennial grasses, seasonal dynamics, remote sensing data, NDVI, Landsat ETM+, MODIS, MOD13Q1, Belgorod region
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