Extrapolation of canopy height and cover metrics of GEDI LiDAR in tropical montane forest ecosystem-Reference-Cited by-同舟云学术

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Extrapolation of canopy height and cover metrics of GEDI LiDAR in tropical montane forest ecosystem

Published:2023-01-07 Issue: Volume: Page:1-17
ISSN:1937-6812
Container-title:African Geographical Review
language:en
Short-container-title:African Geographical Review

Author:

Geremew Tenaw¹,Gonsamo Alemu²,Zewdie Worku¹,Pellikka Petri³⁴

Affiliation:

1. Earth observation research division, Entoto Observatory & Research Center, Addis Ababa, Ethiopia

2. School of Earth, Environment & Society, McMaster University, Hamilton, Ontario, Canada

3. Department of Geosciences and Geography, University of Helsinki, Helsinki, Finland

4. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

Publisher

Informa UK Limited

Subject

Earth-Surface Processes,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/19376812.2023.2164865

Reference60 articles.

1. Genesis and classification of sesquioxidic soils from volcanic rocks in sub-humid tropical highlands of Ethiopia

2. Influence of micro-topography and crown characteristics on tree height estimations in tropical forests based on LiDAR canopy height models

3. Monitoring the structure of forest restoration plantations with a drone-lidar system

4. Estimation of canopy cover in dense mixed-species forests using airborne lidar data

5. Derivation of a tasselled cap transformation based on Landsat 8 at-satellite reflectance

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-Temporal Assessment of Woody Canopy Cover Changes in South Africa; Products and Analysis based on Gedi, Sentinel-1 and 2 Data;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Machine learning for modeling forest canopy height and cover from multi-sensor data in Northwestern Ethiopia;Environmental Monitoring and Assessment;2023-11-10

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