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Prototyping Sentinel-2 green LAI and brown LAI products for cropland monitoring
For agricultural applications, identification of non-photosynthetic above-ground vegetation is of great interest as it contributes to assess harvest practices, detecting crop residues or drought events, as well as to better predict the carbon, water and nutrients uptake. While the mapping of green L...
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| Publicat a: | Remote Sens Environ |
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| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7613486/ https://ncbi.nlm.nih.gov/pubmed/36060228 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.rse.2020.112168 |
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