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Evaluating Soil-Borne Causes of Biomass Variability in Grassland by Remote and Proximal Sensing

On a grassland field with sandy soils in Northeast Germany (Brandenburg), vegetation indices from multi-spectral UAV-based remote sensing were used to predict grassland biomass productivity. These data were combined with soil pH value and apparent electrical conductivity (ECa) from on-the-go proxima...

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Detalles Bibliográficos
Autores principales: Vogel, Sebastian, Gebbers, Robin, Oertel, Marcel, Kramer, Eckart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832259/
https://www.ncbi.nlm.nih.gov/pubmed/31652584
http://dx.doi.org/10.3390/s19204593