Estimating Forest Canopy Height Using MODIS BRDF Data Emphasizing Typical-Angle Reflectances

Estimating Forest Canopy Height Using MODIS BRDF Data Emphasizing Typical-Angle Reflectances

Forest-canopy height is an important parameter for the estimation of forest biomass and terrestrial carbon flux and climate-change research at regional and global scales. Currently, various methods combining Light Detection and Ranging (LiDAR) data with various auxiliary data, particularly satellite...

Full description

Bibliographic Details
Main Authors: Lei Cui, Ziti Jiao, Yadong Dong, Mei Sun, Xiaoning Zhang, Siyang Yin, Anxin Ding, Yaxuan Chang, Jing Guo, Rui Xie
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Remote Sensing
Subjects:
multiangular reflectances
brdf
kernel-driven brdf model
lvis
canopy height
hotspot effect
darkspot
lidar
random forest machine learning model
Online Access:https://www.mdpi.com/2072-4292/11/19/2239

Similar Items

Similar Items