Simultaneous retrieval of sugarcane variables from Sentinel-2 data using Bayesian regularized neural network

Quantifying biophysical and biochemical vegetation variables is of great importance in precision agriculture. Here, the ability of artificial neural networks (ANNs) to generate multiple outputs is exploited to simultaneously retrieve Leaf area index (LAI), leaf sheath moisture (LSM), leaf chlorophyl...

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Bibliographic Details
Published in:	Int J Appl Earth Obs Geoinf
Main Authors:	Hajeb, Mohammad, Hamzeh, Saeid, Alavipanah, Seyed Kazem, Neissi, Lamya, Verrelst, Jochem
Format:	Artigo
Language:	Inglês
Published:	2023
Subjects:	Article
Online Access:	https://ncbi.nlm.nih.gov/pmc/articles/PMC7614048/ https://ncbi.nlm.nih.gov/pubmed/36644684 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jag.2022.103168
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Simultaneous retrieval of sugarcane variables from Sentinel-2 data using Bayesian regularized neural network

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