Cargando…
Novel Feature-Extraction Methods for the Estimation of Above-Ground Biomass in Rice Crops
Traditional methods to measure spatio-temporal variations in above-ground biomass dynamics (AGBD) predominantly rely on the extraction of several vegetation-index features highly associated with AGBD variations through the phenological crop cycle. This work presents a comprehensive comparison betwee...
Autores principales: | Jimenez-Sierra, David Alejandro, Correa, Edgar Steven, Benítez-Restrepo, Hernán Darío, Calderon, Francisco Carlos, Mondragon, Ivan Fernando, Colorado, Julian D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271736/ https://www.ncbi.nlm.nih.gov/pubmed/34202363 http://dx.doi.org/10.3390/s21134369 |
Ejemplares similares
-
A novel NIR-image segmentation method for the precise estimation of above-ground biomass in rice crops
por: Colorado, Julian D., et al.
Publicado: (2020) -
Ground-Based LiDAR Improves Phenotypic Repeatability of Above-Ground Biomass and Crop Growth Rate in Wheat
por: Deery, David M., et al.
Publicado: (2020) -
Are Inventory Based and Remotely Sensed Above-Ground Biomass Estimates Consistent?
por: Hill, Timothy C., et al.
Publicado: (2013) -
Estimating urban above ground biomass with multi-scale LiDAR
por: Wilkes, Phil, et al.
Publicado: (2018) -
ReUse: REgressive Unet for Carbon Storage and Above-Ground Biomass Estimation
por: Pascarella, Antonio Elia, et al.
Publicado: (2023)