Mapping Forest Canopy Height over Continental China Using Multi-Source Remote Sensing Data

Mapping Forest Canopy Height over Continental China Using Multi-Source Remote Sensing Data

Spatially-detailed forest height data are useful to monitor local, regional and global carbon cycle. LiDAR remote sensing can measure three-dimensional forest features but generating spatially-contiguous forest height maps at a large scale (e.g., continental and global) is problematic because existi...

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Bibliographic Details
Main Authors: Xiliang Ni, Yuke Zhou, Chunxiang Cao, Xuejun Wang, Yuli Shi, Taejin Park, Sungho Choi, Ranga B. Myneni
Format: Article
Language:English
Published: MDPI AG 2015-06-01
Series:Remote Sensing
Subjects:
tree height
Geoscience Laser Altimeter System (GLAS)
artificial neural Network (ANN)
China Meteorological Data (CMD)
nadir bidirectional reflectance distribution function adjusted reflectance (NBAR)
Online Access:http://www.mdpi.com/2072-4292/7/7/8436

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