A Regional Maize Yield Hierarchical Linear Model Combining Landsat 8 Vegetative Indices and Meteorological Data: Case Study in Jilin Province

A Regional Maize Yield Hierarchical Linear Model Combining Landsat 8 Vegetative Indices and Meteorological Data: Case Study in Jilin Province

The use of satellite remote sensing could effectively predict maize yield. However, many statistical prediction models using remote sensing data cannot extend to the regional scale without considering the regional climate. This paper first introduced the hierarchical linear modeling (HLM) method to...

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Bibliographic Details
Main Authors: Bingxue Zhu, Shengbo Chen, Yijing Cao, Zhengyuan Xu, Yan Yu, Cheng Han
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
yield
maize
hierarchical linear modeling (HLM)
meteorological data
Online Access:https://www.mdpi.com/2072-4292/13/3/356

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