Cargando…
Research on Estimating Rice Canopy Height and LAI Based on LiDAR Data
Rice canopy height and density are directly usable crop phenotypic traits for the direct estimation of crop biomass. Therefore, it is crucial to rapidly and accurately estimate these phenotypic parameters. To achieve the non-destructive detection and estimation of these essential parameters in rice,...
Autores principales: | Jing, Linlong, Wei, Xinhua, Song, Qi, Wang, Fei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575206/ https://www.ncbi.nlm.nih.gov/pubmed/37837163 http://dx.doi.org/10.3390/s23198334 |
Ejemplares similares
-
Estimating Biomass and Canopy Height With LiDAR for Field Crop Breeding
por: Walter, James D. C., et al.
Publicado: (2019) -
Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR
por: Brede, Benjamin, et al.
Publicado: (2017) -
Correction of UAV LiDAR-derived grassland canopy height based on scan angle
por: Xu, Cong, et al.
Publicado: (2023) -
Assessing and Correcting Topographic Effects on Forest Canopy Height Retrieval Using Airborne LiDAR Data
por: Duan, Zhugeng, et al.
Publicado: (2015) -
LAI estimation based on physical model combining airborne LiDAR waveform and Sentinel-2 imagery
por: Shi, Zixi, et al.
Publicado: (2023)