@article{article_1703231, title={Wheat and Barley Cultivated Area Determination Using NDVI Threshold Values and Google Earth Engine}, journal={BİLİM-TEKNOLOJİ-YENİLİK EKOSİSTEMİ DERGİSİ}, volume={6}, pages={17–28}, year={2025}, author={Civelek, Neslişah and İnalpulat, Melis and Genç, Levent}, keywords={GEE, imaging time, NDVI threshold values, Sentinel-2, Wheat-Barley}, abstract={This study aims to determine the optimal imaging time for detecting wheat and barley (W-B) cultivated areas using Sentinel-2 images and NDVI-based threshold values (December 2018-June 2019) via Google Earth Engine (GEE). The study was conducted in Mahmudiye village, situated to Çanakkale province, Türkiye. Randomly selected parcels (RSP) were determined through ground surveys were used to obtain monthly minimum and maximum NDVI thresholds (NDVImin and NDVImax). Monthly NDVI threshold-based W-B maps were produced. In addition to the month-based maps, the areas that meet all the threshold conditions for all months at once were also mapped. The predicted and actual inventory of W-B areas were compared for identification of the most appropriate imaging time within the growing season. Findings have shown that using the image acquired in April gave the most satisfactory W-B area prediction with an overestimation of only 53 pixels. Use of NDVImin and NDVImax thresholds for prediction of W-B cultivated areas and yield predictions considering imageries acquired in April strongly suggested for more precise estimations under similar climate conditions, whereby the method provides more time and labor-effective investigations in comparison with land use land cover classification methods.}, number={1}, publisher={Çanakkale Onsekiz Mart University}