Cargando…
Seasonal Effect on Tree Species Classification in an Urban Environment Using Hyperspectral Data, LiDAR, and an Object-Oriented Approach
The objective of the current study was to analyze the seasonal effect on differentiating tree species in an urban environment using multi-temporal hyperspectral data, Light Detection And Ranging (LiDAR) data, and a tree species database collected from the field. Two Airborne Imaging Spectrometer for...
Autores principales: | Voss, Matthew, Sugumaran, Ramanathan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3675529/ https://www.ncbi.nlm.nih.gov/pubmed/27879863 http://dx.doi.org/10.3390/s8053020 |
Ejemplares similares
-
Individual tree crown delineation and tree species classification with hyperspectral and LiDAR data
por: Dalponte, Michele, et al.
Publicado: (2019) -
Feasibility Study on the Classification of Persimmon Trees’ Components Based on Hyperspectral LiDAR
por: Shao, Hui, et al.
Publicado: (2023) -
Invasive Shrub Mapping in an Urban Environment from Hyperspectral and LiDAR-Derived Attributes
por: Chance, Curtis M., et al.
Publicado: (2016) -
Fusion of Hyperspectral CASI and Airborne LiDAR Data for Ground Object Classification through Residual Network
por: Chang, Zhanyuan, et al.
Publicado: (2020) -
Evaluation of hyperspectral LiDAR for monitoring rice leaf nitrogen by comparison with multispectral LiDAR and passive spectrometer
por: Sun, Jia, et al.
Publicado: (2017)