High-resolution Mapping of Forest Canopy Height by Integrating Sentinel and airborne LiDAR data-Reference-Cited by-同舟云学术

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High-resolution Mapping of Forest Canopy Height by Integrating Sentinel and airborne LiDAR data

Published:2022-07-17 Issue: Volume: Page:
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Container-title:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Zhang Ya¹,Liu Xianwei¹,Liu Jing¹,Li Longhui¹

Affiliation:

1. (Nanjing Normal University), Ministry of Education,Key Laboratory of Virtual Geographic Environment,Nanjing,China,210023

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Jiangsu Natural Science Foundation

Natural Science Foundation of the Jiangsu Higher Education Institutions of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884385.pdf?arnumber=9884385

Reference14 articles.

1. Random forest in remote sensing: A review of applications and future directions;belgiu;ISPRS Journal of Photogrammetry and Remote Sensing,2016

2. Modelling forest canopy height by integrating airborne LiDAR samples with satellite Radar and multispectral imagery

3. Mapping forest height using photon-counting LiDAR data and Landsat 8 OLI data: A case study in Virginia and North Carolina, USA

4. Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals

5. Mapping Forest Height and Aboveground Biomass by Integrating ICESat‐2, Sentinel‐1 and Sentinel‐2 Data Using Random Forest Algorithm in Northwest Himalayan Foothills of India

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1. Research on the Control Technology of Optical Phased Array High-Speed Scanning;IEEE Transactions on Instrumentation and Measurement;2024

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