Fine-resolution forest tree height estimation across the Sierra Nevada through the integration of spaceborne LiDAR, airborne LiDAR, and optical imagery-Reference-Cited by-同舟云学术

Fine-resolution forest tree height estimation across the Sierra Nevada through the integration of spaceborne LiDAR, airborne LiDAR, and optical imagery

Published:2016-09-09 Issue:3 Volume:10 Page:307-323
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Su Yanjun¹,Ma Qin¹,Guo Qinghua¹²

Affiliation:

1. Sierra Nevada Research Institute, School of Engineering, University of California at Merced, Merced, CA, USA

2. State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, People’s Republic of China

Funder

National Science Foundation of China

National Science Foundation

USDA Forest Service Pacific Southwest Research Station

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2016.1227380

Reference58 articles.

1. Comparison of elevation and remote sensing derived products as auxiliary data for climate surface interpolation

2. Estimating forest canopy fuel parameters using LIDAR data

3. A rigorous assessment of tree height measurements obtained using airborne lidar and conventional field methods

4. A first map of tropical Africa’s above-ground biomass derived from satellite imagery

5. Testing Different Methods of Forest Height and Aboveground Biomass Estimations From ICESat/GLAS Data in Eucalyptus Plantations in Brazil

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