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...

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發表在:	Remote Sensing
Main Authors:	Lei Cui, Ziti Jiao, Yadong Dong, Mei Sun, Xiaoning Zhang, Siyang Yin, Anxin Ding, Yaxuan Chang, Jing Guo, Rui Xie
格式:	Article
語言:	英语
出版:	MDPI AG 2019-09-01
主題:	multiangular reflectances brdf kernel-driven brdf model lvis canopy height hotspot effect darkspot lidar random forest machine learning model
在線閱讀:	https://www.mdpi.com/2072-4292/11/19/2239