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Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data
The unprecedented availability of optical satellite data in cloud-based computing platforms, such as Google Earth Engine (GEE), opens new possibilities to develop crop trait retrieval models from the local to the planetary scale. Hybrid retrieval models are of interest to run in these platforms as t...
Tallennettuna:
| Julkaisussa: | Remote Sens Environ |
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| Päätekijät: | , , , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2022
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7613387/ https://ncbi.nlm.nih.gov/pubmed/36081832 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.rse.2022.112958 |
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