A comparative analysis of grid-based and object-based modeling approaches for poplar forest growing stock volume estimation in plain regions using airborne LIDAR data-Reference-Cited by-同舟云学术

A comparative analysis of grid-based and object-based modeling approaches for poplar forest growing stock volume estimation in plain regions using airborne LIDAR data

Published:2023-03-03 Issue: Volume: Page:1-19
ISSN:1009-5020
Container-title:Geo-spatial Information Science
language:en
Short-container-title:Geo-spatial Information Science

Author:

Wang Ruoqi¹²,Li Guiying¹²^ORCID,Lu Yagang³,Lu Dengsheng¹²^ORCID

Affiliation:

1. Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education, Fujian Normal University, Fuzhou, China

2. Institute of Geography, Fujian Normal University, Fuzhou, China

3. Institute of East China Inventory and Planning, National Forestry and Grassland Administration, Hangzhou, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Computers in Earth Sciences,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10095020.2023.2169199

Reference67 articles.

1. Quantifying Boreal Forest Structure and Composition Using UAV Structure from Motion

2. Using multilevel remote sensing and ground data to estimate forest biomass resources in remote regions: a case study in the boreal forests of interior Alaska

3. Anhui Forestry Bureau. 2020. “Poplar Tree Volume Tables, Anhui Provincial Standard, # DB34/T 3620-2020”.

4. Comparison of Sentinel-2 and Landsat 8 imagery for forest variable prediction in boreal region

5. Evaluation of ALOS/PALSAR L-Band Data for the Estimation of Eucalyptus Plantations Aboveground Biomass in Brazil

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