Detecting flowering phenology in oil seed rape parcels with Sentinel-1 and -2 time series

A novel methodology is proposed to robustly map oil seed rape (OSR) flowering phenology from time series generated from the Copernicus Sentinel-1 (S1) and Sentinel-2 (S2) sensors. The time series are averaged at parcel level, initially for a set of 229 reference parcels for which multiple phenologic...

Descripción completa

Detalles Bibliográficos
Autores principales: d’Andrimont, Raphaël, Taymans, Matthieu, Lemoine, Guido, Ceglar, Andrej, Yordanov, Momchil, van der Velde, Marijn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Elsevier Pub. Co 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7043338/
https://www.ncbi.nlm.nih.gov/pubmed/32184531
http://dx.doi.org/10.1016/j.rse.2020.111660

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7043338/
https://www.ncbi.nlm.nih.gov/pubmed/32184531
http://dx.doi.org/10.1016/j.rse.2020.111660

Ejemplares similares