Hyperspectral retrieval of leaf physiological traits and their links to ecosystem productivity in grassland monocultures
Plant functional traits are closely associated with key ecological processes and ecosystem functions. Recent studies have demonstrated that plant functional traits, especially physiological traits, can be successfully derived from hyperspectral images. Plant physiological traits are frequently quant...
Guardado en:
Autores principales: | Yujin Zhao, Yihan Sun, Xiaoming Lu, Xuezhen Zhao, Long Yang, Zhongyu Sun, Yongfei Bai |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/37af5fbd9b93423cbb99214d61df3493 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
The use of machine learning methods to estimate aboveground biomass of grasslands: A review
por: Tiago G. Morais, et al.
Publicado: (2021) -
Estimation of Maize Leaf Area Index and Aboveground Biomass Based on Hyperspectral Data
por: SHU Meiyan, et al.
Publicado: (2021) -
Spectrally defined plant functional types adequately capture multidimensional trait variation in herbaceous communities
por: Elisa Van Cleemput, et al.
Publicado: (2021) -
Using a small, consumer-grade drone to identify and count marine megafauna in shallow habitats
por: Hensel,Enie, et al.
Publicado: (2018) -
Evaluating different methods for retrieving intraspecific leaf trait variation from hyperspectral leaf reflectance
por: Kenny Helsen, et al.
Publicado: (2021)