A carregar...
Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine
Thanks to the emergence of cloud-computing platforms and the ability of machine learning methods to solve prediction problems efficiently, this work presents a workflow to automate spatiotemporal mapping of essential vegetation traits from Sentinel-3 (S3) imagery. The traits included leaf chlorophyl...
Na minha lista:
| Publicado no: | Remote Sens (Basel) |
|---|---|
| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2022
|
| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7613398/ https://ncbi.nlm.nih.gov/pubmed/36016907 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/rs14061347 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|