Forest above-ground biomass estimation using X, C, L, and P band SAR polarimetric observations and different inversion models-Reference-Cited by-同舟云学术

Forest above-ground biomass estimation using X, C, L, and P band SAR polarimetric observations and different inversion models

Published:2024-02-06 Issue:1 Volume:17 Page:
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Ji Yongjie¹^ORCID,Wang Lu¹,Zhang Wangfei²^ORCID,Marino Armando³,Wang Mengjin²,Ma Jiamin²,Shi Jianmin²,Jing Qian¹,Zhang Fuxiang¹,Zhao Han²,Huang Guoran²,Yang Feifei²,Wang Guoqing¹

Affiliation:

1. School of Geography and Ecotourism, Southwest Forestry University, Kunming, People’s Republic of China

2. College of Forestry, Southwest Forestry University, Kunming, People’s Republic of China

3. Biological and Environmental Sciences, The University of Stirling, Stirling, UK

Funder

National Natural Science Foundation of China

Yunnan Province agriculture joint special project

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2310730

Reference45 articles.

1. Introduction to Deep Learning

2. Estimating forest biomass using small footprint LiDAR data: An individual tree-based approach that incorporates training data

3. Exploring combinations of multi-temporal and multi-frequency radar backscatter observations to estimate above-ground biomass of tropical forest

4. Benchmarking the Retrieval of Biomass in Boreal Forests Using P-Band SAR Backscatter with Multi-Temporal C- and L-Band Observations

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