Cargando…
Machine learning modeling of plant phenology based on coupling satellite and gridded meteorological dataset
Changes in the timing of plant phenological phases are important proxies in contemporary climate research. However, most of the commonly used traditional phenological observations do not give any coherent spatial information. While consistent spatial data can be obtained from airborne sensors and pr...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2018
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6028898/ https://www.ncbi.nlm.nih.gov/pubmed/29644431 http://dx.doi.org/10.1007/s00484-018-1534-2 |