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Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine
For the last decade, Gaussian process regression (GPR) proved to be a competitive machine learning regression algorithm for Earth observation applications, with attractive unique properties such as band relevance ranking and uncertainty estimates. More recently, GPR also proved to be a proficient ti...
Tallennettuna:
| Julkaisussa: | Remote Sens (Basel) |
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| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7613383/ https://ncbi.nlm.nih.gov/pubmed/36082106 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/rs13030403 |
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