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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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| I publikationen: | Int J Appl Earth Obs Geoinf |
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| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2023
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| Ämnen: | |
| Länkar: | 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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