Winter wheat leaf area index inversion by the genetic algorithms neural network model based on SAR data

Winter wheat leaf area index inversion by the genetic algorithms neural network model based on SAR data

The leaf area index (LAI) is an important agroecological physiological parameter affecting vegetation growth. To apply the genetic algorithms neural network model (GANNM) to the remote sensing inversion of winter wheat LAI throughout the growth cycle and based on GaoFen-3 Synthetic aperture radar (G...

Full description

Bibliographic Details
Main Authors: Xiaoping Lu, Xiaoxuan Wang, Xiangjun Zhang, Jun Wang, Zenan Yang
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:International Journal of Digital Earth
Subjects:
leaf area index (lai)
gf-3
bp neural network model (bpnnm)
genetic algorithms neural network model
winter wheat
Online Access:http://dx.doi.org/10.1080/17538947.2022.2028913

Internet

http://dx.doi.org/10.1080/17538947.2022.2028913

Similar Items