Enabling Deep-Neural-Network-Integrated Optical and SAR Data to Estimate the Maize Leaf Area Index and Biomass with Limited In Situ Data

Enabling Deep-Neural-Network-Integrated Optical and SAR Data to Estimate the Maize Leaf Area Index and Biomass with Limited In Situ Data

Accurate estimation of the maize leaf area index (LAI) and biomass is of great importance in guiding field management and early yield estimation. Physical models and traditional machine learning methods are commonly used for LAI and biomass estimation. However, these models and methods mostly rely o...

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Bibliographic Details
Main Authors: Peilei Luo, Huichun Ye, Wenjiang Huang, Jingjuan Liao, Quanjun Jiao, Anting Guo, Binxiang Qian
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
gated Siamese deep neural network
mixup<sup>+</sup>
LAI
biomass
maize
Online Access:https://www.mdpi.com/2072-4292/14/21/5624

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