Winter Wheat Maturity Prediction via Sentinel-2 MSI Images

作者：Jibo Yue, Ting Li, Jianing Shen, Yihao Wei, Xin Xu, Yang Liu, Haikuan Feng, Xinming Ma, Changchun Li, Guijun Yang, Hongbo Qiao, Hao Yang, Qian Liu · 发表于：Agriculture · 年份：2024 · DOI：10.3390/agriculture14081368 · 被引用次数：8 · 研究领域：Remote Sensing in Agriculture、Remote Sensing and Land Use、Environmental and Agricultural Sciences

A timely and comprehensive understanding of winter wheat maturity is crucial for deploying large-scale harvesters within a region, ensuring timely winter wheat harvesting, and maintaining grain quality. Winter wheat maturity prediction is limited by two key issues: accurate extraction of wheat planting areas and effective maturity prediction methods. The primary aim of this study is to propose a method for predicting winter wheat maturity. The method comprises three parts: (i) winter wheat planting area extraction via phenological characteristics across multiple growth stages; (ii) extraction of winter wheat maturity features via vegetation indices (VIs, such as NDVI, NDRE, NDII1, and NDII2) and box plot analysis; and (iii) winter wheat maturity data prediction via the selected VIs. The key findings of this work are as follows: (i) Combining multispectral remote sensing data from the winter wheat jointing-filling and maturity-harvest stages can provide high-precision extraction of winter wheat planting areas (OA = 95.67%, PA = 91.67%, UA = 99.64%, and Kappa = 0.9133). (ii) The proposed method can offer the highest accuracy in predicting maturity at the winter wheat flowering stage (R2 = 0.802, RMSE = 1.56 days), aiding in a timely and comprehensive understanding of winter wheat maturity and in deploying large-scale harvesters within the region. (iii) The study’s validation was only conducted for winter wheat maturity prediction in the North China Plain wheat production area, ...