Predicting wheat yield from 2001 to 2020 in Hebei Province at county and pixel levels based on synthesized time series images of Landsat and MODIS

• Main Authors: Zhang, Guanjin, Roslan, Siti Nur Aliaa, Mohd Shafri, Helmi Zulhaidi, Zhao, Yanxi, Wang, Ci, Quan, Ling
• Format: Article
• Language: English
• Published: Nature Research 2024
• Online Access: http://psasir.upm.edu.my/id/eprint/113651/1/113651.pdf; http://psasir.upm.edu.my/id/eprint/113651/; https://www.nature.com/articles/s41598-024-67109-3?error=cookies_not_supported&code=6d6376c9-830c-438a-a658-4424ae8aea9e
• Institution: Universiti Putra Malaysia

To obtain seasonable and precise crop yield information with fine resolution is very important for ensuring the food security. However, the quantity and quality of available images and the selection of prediction variables often limit the performance of yield prediction. In our study, the synthesize...