Unlocking the potential of hyperspectral and LiDAR for above-ground biomass (AGB) and tree species classification in tropical forests-Reference-Cited by-同舟云学术

Unlocking the potential of hyperspectral and LiDAR for above-ground biomass (AGB) and tree species classification in tropical forests

Published:2021-10-18 Issue: Volume: Page:1-26
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Nik Effendi Nik Ahmad Faris¹^ORCID,Mohd Zaki Nurul Ain¹²,Abd Latif Zulkiflee²³^ORCID,Suratman Mohd Nazip²⁴^ORCID,Bohari Sharifah Norashikin¹^ORCID,Zainal Mohd Zainee¹^ORCID,Omar Hamdan⁵^ORCID

Affiliation:

1. Centre of Studies for Surveying Science and Geomatics, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, Cawangan Perlis, Arau, Perlis, Malaysia

2. Institute for Biodiversity and Sustainable Development (IBSD), Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

3. Centre of Studies for Surveying Science and Geomatics, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

4. Faculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

5. Geoinformation Programme, Division of Forestry & Environment, Forest Research Institute Malaysia (FRIM), Kepong, Selangor, Malaysia

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2021.1990419

Reference81 articles.

1. Delineation of tree crown and canopy height using airborne LiDAR and aerial photo

2. Determination of tree species using Worldview-2 data

3. Non-Destructive, Laser-Based Individual Tree Aboveground Biomass Estimation in a Tropical Rainforest

4. Estimating standing biomass in papyrus (Cyperus papyrus L.) swamp: exploratory of in situ hyperspectral indices and random forest regression

Cited by 11 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. Combination of hyperspectral and LiDAR for aboveground biomass estimation using machine learning;Transactions in GIS;2024-07-10

2. Optimising carbon fixation through agroforestry: Estimation of aboveground biomass using multi-sensor data synergy and machine learning;Ecological Informatics;2024-03

3. Development of forest aboveground biomass estimation, its problems and future solutions: A review;Ecological Indicators;2024-02

4. Development of Automated Techniques for Object-Oriented Image Analysis in Hyper Spectral Images;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

5. Support Vector Machine (SVM) and Object Based Classification in Earth Linear Features Extraction: A Comparison;Revue Internationale de Géomatique;2024