Cargando…
Improved estimation of aboveground biomass of regional coniferous forests integrating UAV-LiDAR strip data, Sentinel-1 and Sentinel-2 imageries
BACKGROUND: Forest aboveground biomass (AGB) is not only the basis for estimating forest carbon storage, but also an important parameter for evaluating forest carbon cycle contribution and forest ecological function. Data saturation and fewer field plots limit the accuracy of AGB estimation. In resp...
Autores principales: | Wang, Yueting, Jia, Xiang, Chai, Guoqi, Lei, Lingting, Zhang, Xiaoli |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311790/ https://www.ncbi.nlm.nih.gov/pubmed/37391772 http://dx.doi.org/10.1186/s13007-023-01043-9 |
Ejemplares similares
-
Integrating spaceborne LiDAR and Sentinel-2 images to estimate forest aboveground biomass in Northern China
por: Jiang, Fugen, et al.
Publicado: (2022) -
Estimating the Aboveground Carbon Density of Coniferous Forests by Combining Airborne LiDAR and Allometry Models at Plot Level
por: Hao, Hongke, et al.
Publicado: (2019) -
LAI estimation based on physical model combining airborne LiDAR waveform and Sentinel-2 imagery
por: Shi, Zixi, et al.
Publicado: (2023) -
Impact of data model and point density on aboveground forest biomass estimation from airborne LiDAR
por: Garcia, Mariano, et al.
Publicado: (2017) -
Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR
por: Brede, Benjamin, et al.
Publicado: (2017)