 This study developed a hybrid model combining prosail and GPR algorithms to accurately estimate May's leaf and canopy chlorophyll content, LCC and CCC, from Sentinel-2 and planet imagery at various spatial resolutions. The model was validated against field-measured chlorophyll data and found to have good accuracy. Furthermore, the model was successfully applied to images from different periods to map the spatiotemporal distribution of the chlorophyll content. This article was authored by Antingua, Huichunyi, Guichingli, and others.