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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| 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 |