Coupling remote sensing and crop growth model to estimate national wheat yield in Ethiopia

Coupling remote sensing and crop growth model to estimate national wheat yield in Ethiopia

Estimation of crop yield at a regional level is essential for making agricultural planning and addressing food security issues in Ethiopia. Remote sensing observations, particularly the leaf area index (LAI), have a strong relationship with crop yield. This study has proposed an approach to estimate...

Full description

Bibliographic Details
Main Authors: Awetahegn Niguse Beyene, Hongwei Zeng, Bingfang Wu, Liang Zhu, Tesfay Gebretsadkan Gebremicael, Miao Zhang, Temesgen Bezabh
Format: Article
Language:English
Published: Taylor & Francis Group 2021-03-01
Series:Big Earth Data
Subjects:
wheat yield
wofost model
ensemble kalman filter
remote sensing
Online Access:http://dx.doi.org/10.1080/20964471.2020.1837529

Internet

http://dx.doi.org/10.1080/20964471.2020.1837529

Similar Items