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
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...
Saved in:
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Undergraduates' political participation behaviors in public universities of Hebei province, China
by: Yang, Yanan, et al.
Published: (2018) -
Sub-pixel analysis to enhance the accuracy of evapotranspiration determined using MODIS images
by: Hassaballa, A.A., et al.
Published: (2017) -
Sub-pixel analysis to enhance the accuracy of evapotranspiration determined using MODIS images
by: Abd.N., Matori
Published: (2017) -
Construction of teacher leadership identity at Luanping Middle School, Hebei province, China
by: Wang, Jing
Published: (2021) -
Comprehensive evaluation of water carrying capacity in Hebei Province, China on principal component analysis
by: Huadong Wang, et al.
Published: (2021)