Forest structure dependency analysis of L-band SAR backscatter

• Published in: PeerJ (San Francisco, CA) Vol. 8; p. e10055
• Main Authors: Ji, Yongjie, Huang, Jimao, Ju, Yilin, Guo, Shipeng, Yue, Cairong
• Format: Journal Article
• Language: English
• Published: San Diego PeerJ. Ltd 30.09.2020; PeerJ, Inc; PeerJ Inc
• Subjects: Analysis; Backscatter; Biomass; Data collection; Ecology; Forest structure; Forestry; Forests; Growth models; Investigations; L-band; Mediation; Radar; SAR; Satellite remote sensing; Spatial and Geographic Information Science; Species; Synthetic aperture radar
• ISSN: 2167-8359; 2167-8359
• DOI: 10.7717/peerj.10055

Forest structure plays an important role in forest biomass inversion using synthetic aperture radar (SAR) backscatter. Synthetic aperture radar (SAR) sensors with long-wavelength have the potentiality to provide reliable and timely forest biomass inversion for their ability of deep penetration into the forest. L-band SAR backscatter shows useful for forest above-ground biomass (AGB) estimation. However, the way that forest structure mediating the biomass-backscatter affects the improvement of the related biomass estimation accuracy. In this paper, we have investigated L-band SAR backscatter sensitivity to forests with different mean canopy density, mean tree height and mean DBH (diameter at breast height) at the sub-compartment level. The forest species effects on their relationship were also considered in this study. The linear correlation coefficient R, non-linear correlation parameter, Maximal Information Coefficient (MIC), and the determination coefficient R.sup.2 from linear function, Logarithmic function and Quadratic function were used in this study to analyze forest structural properties effects on L-band SAR backscatter. The HV channel, which is more sensitive than HH to forest structure parameters, was chosen as the representative of SAR backscatter. 6037 sub-compartment were involved in the analysis. Canopy density showed a great influence on L-band backscatter than mean forest height and DBH. All of the R between canopy density and L-band backscatter were greater than 0.7 during the forest growth cycle. The sensitivity of L-band backscatter to mean forest height depends on forest canopy density. When canopy density was lower than 0.4, R values between mean forest height are smaller than 0.5. In contrast, the values of R were greater than 0.8 if canopy density was higher than 0.4. The sensitivity SAR backscatter to DBH fluctuated with canopy density, but it only showed obvious sensitivity when canopy density equals to 0.6, where both the linear and non-liner correlation values are higher than others. However, their effects on L-bang HV backscatter are affected by forest species, the effects on three forest structural parameters depend on tree species.