Integrating Remote Sensing and Meteorological Data to Predict Wheat Stripe Rust

Integrating Remote Sensing and Meteorological Data to Predict Wheat Stripe Rust

Wheat stripe rust poses a serious threat to wheat production. An effective prediction method is important for food security. In this study, we developed a prediction model for wheat stripe rust based on vegetation indices and meteorological features. First, based on time-series Sentinel-2 remote sen...

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Bibliographic Details
Main Authors: Chao Ruan, Yingying Dong, Wenjiang Huang, Linsheng Huang, Huichun Ye, Huiqin Ma, Anting Guo, Ruiqi Sun
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Remote Sensing
Subjects:
wheat stripe rust
prediction
vegetation indices
meteorological feature
phenology
Online Access:https://www.mdpi.com/2072-4292/14/5/1221

Internet

https://www.mdpi.com/2072-4292/14/5/1221

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