Exploring optimal combinations of multi-frequency polarimetric SAR observations to estimate forest above-ground biomass-Reference-Cited by-同舟云学术

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Exploring optimal combinations of multi-frequency polarimetric SAR observations to estimate forest above-ground biomass

Published:2024-02-13 Issue: Volume: Page:1-19
ISSN:1009-5020
Container-title:Geo-spatial Information Science
language:en
Short-container-title:Geo-spatial Information Science

Author:

Ji Yongjie¹^ORCID,Zhang Fuxiang¹,Zhang Wangfei²^ORCID,Zhao Lei³,Xu Kunpeng³,Shi Jianmin²,Huang Guoran²,Jing Qian¹,Wang Lu¹,Yang Feifei²

Affiliation:

1. School of Geography and Ecotourism, Southwest Forestry University, Kunming, China

2. Forestry College, Southwest Forestry University, Kunming, China

3. Institute of Forest Resources Information Technique, Chinese Academy of Forestry, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10095020.2024.2311867

Reference45 articles.

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

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

3. Chen, C. G. 1989. Manual of Main Forest Biomass in Northeast China. Beijing: China Forestry Publishing House.

4. Assessment of multi-wavelength SAR and multispectral instrument data for forest aboveground biomass mapping using random forest kriging

5. Polarimetric Parameters for Growing Stock Volume Estimation Using ALOS PALSAR L-Band Data over Siberian Forests

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1. Area extraction and growth monitoring of sugarcane from multi-source remote sensing images under a polarimetric SAR data compensation based on buildings;Geo-spatial Information Science;2024-07-30

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