A comparative analysis of modeling approaches and canopy height-based data sources for mapping forest growing stock volume in a northern subtropical ecosystem of China-Reference-Cited by-同舟云学术

A comparative analysis of modeling approaches and canopy height-based data sources for mapping forest growing stock volume in a northern subtropical ecosystem of China

Published:2022-03-13 Issue:1 Volume:59 Page:568-589
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Lin Wenke¹²,Lu Yagang³,Li Guiying¹²^ORCID,Jiang Xiandie¹²,Lu Dengsheng¹²^ORCID

Affiliation:

1. State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou, Fujian 350007 China

2. Institute of Geography, Fujian Normal University, Fuzhou, Fujian 350007 China

3. Institute of East China Inventory and Planning, National Forestry and Grassland Administration, Hangzhou, Zhejiang 31000, China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2022.2044139

Reference89 articles.

1. Exploring ecological patterns with structural equation modeling and Bayesian analysis

2. Improving Estimation Accuracy of Growing Stock by Multi-Frequency SAR and Multi-Spectral Data over Iran’s Heterogeneously-Structured Broadleaf Hyrcanian Forests

3. Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations