Multi-Band Scattering Characteristics of Miniature Masson Pine Canopy Based on Microwave Anechoic Chamber Measurement DOI Creative Commons
Kai Du, Yuan Li, Huaguo Huang

et al.

Sensors, Journal Year: 2024, Volume and Issue: 25(1), P. 46 - 46

Published: Dec. 25, 2024

Using microwave remote sensing to invert forest parameters requires clear canopy scattering characteristics, which can be intuitively investigated through measurements. However, there are very few ground-based measurements on branches, needles, and canopies. In this study, a quantitative analysis of the ground contribution Masson pine scenes in C-, X-, Ku-bands was conducted based anechoic chamber measurement platform. Four with different densities by defoliation vertical direction were constructed, backscattering data for each scene collected across eight incidence angles azimuth angles, respectively. The results show that observation direction, energy C- X-bands predominantly contributed ground, whereas Ku-band signal exhibited higher sensitivity structure. influenced incident angle, particularly cross-polarization, where increased larger angles. scene’s extinction branches as well scattering, resulting complex relationship density. addition, applying orientation correction polarization matrix mitigate impact angle reduce decomposition errors Freeman–Durden model. order ensure reliability parameter inversion SAR data, greater emphasis should placed physical models account process, rather than relying empirical models.

Language: Английский

Assessing methods in fusion and fitting for time series construction in remote sensing-based earth observations DOI Creative Commons
Jia Tang, Virgílio A. Bento, Dalei Hao

et al.

GIScience & Remote Sensing, Journal Year: 2025, Volume and Issue: 62(1)

Published: April 4, 2025

Language: Английский

Citations

0
A Spectral–Spatial Approach for the Classification of Tree Cover Density in Mediterranean Biomes Using Sentinel-2 Imagery DOI Open Access
Michail Sismanis, Ioannis Z. Gitas, Nikos Georgopoulos

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(11), P. 2025 - 2025

Published: Nov. 18, 2024

Tree canopy cover is an important forest inventory parameter and a critical component for the in-depth mapping of fuels. This research examines potential employing single-date Sentinel-2 multispectral imagery, combined with contextual spatial information, to classify areas based on their tree density using Random Forest classifiers. Three information extraction methods are investigated capacity acutely detect cover: two Gray-Level Co-Occurrence Matrix (GLCM) features one segment statistics. The was carried out in three different biomes Greece, total study area 23,644 km2. classes were considered, namely, non-forest (cover < 15%), open = 15%–70%), closed ≥ 70%), requirements set fuel Europe. Results indicate that best approach identified delivers F1-scores ranging 70%–75% all areas, significantly improving results over other alternatives. Overall, synergistic use spectral derived from images highlights promising generation layers Mediterranean regions, enabling creation additional support detailed

Language: Английский

Citations

1
Attribution of forest disturbance types based on the Dynamic World class probability data: A case study of Myanmar DOI Creative Commons
Zhe Li, Tetsuji Ota, Nobuya Mizoue

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 134, P. 104216 - 104216

Published: Oct. 19, 2024

Language: Английский

Citations

1
Multi-Band Scattering Characteristics of Miniature Masson Pine Canopy Based on Microwave Anechoic Chamber Measurement DOI Creative Commons
Kai Du, Yuan Li, Huaguo Huang

et al.

Sensors, Journal Year: 2024, Volume and Issue: 25(1), P. 46 - 46

Published: Dec. 25, 2024

Using microwave remote sensing to invert forest parameters requires clear canopy scattering characteristics, which can be intuitively investigated through measurements. However, there are very few ground-based measurements on branches, needles, and canopies. In this study, a quantitative analysis of the ground contribution Masson pine scenes in C-, X-, Ku-bands was conducted based anechoic chamber measurement platform. Four with different densities by defoliation vertical direction were constructed, backscattering data for each scene collected across eight incidence angles azimuth angles, respectively. The results show that observation direction, energy C- X-bands predominantly contributed ground, whereas Ku-band signal exhibited higher sensitivity structure. influenced incident angle, particularly cross-polarization, where increased larger angles. scene’s extinction branches as well scattering, resulting complex relationship density. addition, applying orientation correction polarization matrix mitigate impact angle reduce decomposition errors Freeman–Durden model. order ensure reliability parameter inversion SAR data, greater emphasis should placed physical models account process, rather than relying empirical models.

Language: Английский

Citations

0