Evaluating Optical Remote Sensing Methods for Estimating Leaf Area Index for Corn and Soybean

Evaluating Optical Remote Sensing Methods for Estimating Leaf Area Index for Corn and Soybean

The leaf area index (LAI) is a key crop biophysical variable influencing many vegetation processes. Spatial LAI estimates are essential to develop and improve spatial modeling tools to monitor vegetation conditions at large regional scales. Numerous optical remote sensing methods have been explored...

Full description

Bibliographic Details
Main Authors: Rohit Nandan, Varaprasad Bandaru, Jiaying He, Craig Daughtry, Prasanna Gowda, Andrew E. Suyker
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
leaf area index
corn and soybean
empirical models
physical-based models
optical remote sensing
Landsat
Online Access:https://www.mdpi.com/2072-4292/14/21/5301

Internet

https://www.mdpi.com/2072-4292/14/21/5301

Similar Items