Cargando…
Estimation of Biomass and Canopy Height in Bermudagrass, Alfalfa, and Wheat Using Ultrasonic, Laser, and Spectral Sensors
Non-destructive biomass estimation of vegetation has been performed via remote sensing as well as physical measurements. An effective method for estimating biomass must have accuracy comparable to the accepted standard of destructive removal. Estimation or measurement of height is commonly employed...
Autores principales: | Pittman, Jeremy Joshua, Arnall, Daryl Brian, Interrante, Sindy M., Moffet, Corey A., Butler, Twain J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367341/ https://www.ncbi.nlm.nih.gov/pubmed/25635415 http://dx.doi.org/10.3390/s150202920 |
Ejemplares similares
-
Reflectance, absorbance and transmittance spectra of bermudagrass and manilagrass turfgrass canopies
por: Volterrani, Marco, et al.
Publicado: (2017) -
Effects of water stress on spectral reflectance of bermudagrass
por: Caturegli, Lisa, et al.
Publicado: (2020) -
Estimating Biomass and Canopy Height With LiDAR for Field Crop Breeding
por: Walter, James D. C., et al.
Publicado: (2019) -
Top Canopy Height and Stem Size Variation Enhance Aboveground Biomass across Spatial Scales in Seasonal Tropical Forests
por: Sun, Zhenhua, et al.
Publicado: (2023) -
Wheat Height Estimation Using LiDAR in Comparison to Ultrasonic Sensor and UAS
por: Yuan, Wenan, et al.
Publicado: (2018)