Early-season and refined mapping of winter wheat based on phenology algorithms - a case of Shandong, China.

ABSTRACT: Winter wheat is one of the major food crops in China, and timely and effective early-season identification of winter wheat is crucial for crop yield estimation and food security. However, traditional winter wheat mapping is based on post-season identification, which has a lag and relies heavily on sample data. Early-season identification of winter wheat faces the main difficulties of weak remote sensing response of the vegetation signal at the early growth stage, difficulty of acquiring sample data on winter wheat in the current season in real time, interference of crops in the same period, and limited image resolution. In this study, an early-season refined mapping method with winter wheat phenology information as priori knowledge is developed based on the Google Earth Engine cloud platfo

SUBMITTER: Liu X 

PROVIDER: S-EPMC10405738 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature