Spatio-Temporal Analysis of Yield Estimation of Corn and Sunflower Using Single-Dated Satellite Imagery Between 2014-2016

estimation. However, investigating the feasibility of yield estimation
using a single-dated satellite image still needs to be solved today. The
benefits of using a single-dated satellite image in yield estimation and
optimum timing are among the issues to be considered in future
studies.
This study developed a parcel-based yield model using a single
satellite image for the 2014, 2015, and 2016 years and meteorological
data in Kadirli-Osmaniye, Türkiye. The SPOT 6&7 satellite images
were acquired at an appropriate time of the plant cover (the greenest
period of the plant). For four months, photographs and values of plant
height are provided weekly from fieldwork to determine crop cover
fraction and monitor vegetation development. Regression analysis
was performed with 12 vegetation indexes obtained from satellite
images and crop cover fractions. In all calculated yield models, the
relationship between I.-II.-III. soil classes selected, considering soil
maps and yield, are compared. The relative errors of the low-yield
fields were calculated between 10% and 35% (according to the yields
obtained at harvest time). As a result, it was determined that a single
satellite image could model yield estimation of corn and sunflower
for each year on fields with an average of 0.10 relative errors.