Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2025, V. 22, No. 4, pp. 101-117
PolInSAR-based estimation of young pine forest height in winter using TerraSAR-X/TanDEM-X data
T.N. Chimitdorzhiev
1 , I.I. Kirbizhekova
1 , A.V. Dmitriev
1 1 Institute of Physical Materials Science SB RAS, Ulan-Ude, Russia
Accepted: 05.06.2025
DOI: 10.21046/2070-7401-2025-22-4-101-117
In the context of carbon neutrality challenges, reliable quantification of carbon sequestration by Siberian boreal forests is crucial, particularly for vast areas currently undergoing post-fire recovery. Such assessments require accurate measurements of key forest biophysical parameters — biomass and height, including these of young trees. This study presents a novel methodology for estimating winter-time height of young pine regrowth using fully polarimetric X-band bistatic radar data from TerraSAR-X/TanDEM-X. The proposed technique analyzes the multimodal distribution of the interferometric phase of surface scattering component and estimates the range of its most probable values, with surface scattering component identified through PolInSAR (Polarimetric Interferometric SAR) processing. The fundamental premise is that snow cover on upper branches and needles, combined with the vegetation itself, forms a reflecting surface in areas with clustered tree crowns. This composite surface represents the upper phase center, while the snow-covered ground between the tree clusters constitutes the lower phase center of surface scattering. The vertical separation between these centers provides an estimate of average height of sparse young forest stands. The height estimation procedure involves measuring the width of the dominant mode in the surface scattering phase distribution through analysis of the probability density function derivative and theoretical range standard deviation (2–3)σ. Validation results demonstrate the method’s applicability for specific stages of pine forest regeneration and reforestation. A key limitation of this approach is that the measurable height difference between the phase centers (for surface and volume scattering mechanisms) must remain within the system’s height ambiguity limit 2π.
Keywords: satellite radar, X-band, polarimetric interferometry, PolInSAR, scattering mechanisms, surface scattering, double-bounce scattering, volume scattering, phase shift, forest regeneration, snow cover
Full textReferences:
- Bondur V. G., Chimitdorzhiev T. N., Kirbizhekova I. I., Dmitriev A. V., Radar detection of anomalous dynamics of perennial heaving mounds from the example of the Yamal mound/crater in 2020, Doklady Earth Sciences, 2022, V. 506, No. 1, pp. 654–660, DOI: 10.1134/S1028334X22700015.
- Bondur V. G., Chimitdorzhiev T. N., Dmitriev A. V., Nomshiev Zh. D., Application of the Stacking-InSAR method for analyzing changes in forest canopy height, Issledovanie Zemli iz kosmosa, 2024, No. 4, pp. 69–76 (in Russian), DOI: 10.31857/S0205961424040067.
- Dmitriev A. V., Chimitdorzhiev T. N., Dobrynin S. I. et al., Optical-microwave diagnostics of agricultural land afforestation, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, V. 19, No. 4, pp. 168–180 (in Russian), DOI: 10.21046/2070-7401-2022-19-4-168-180.
- Zakharov A. I., Smirnov V. M., Yakovlev O. I., Sputnikovyi monitoring Zemli: Radiolokatsionnoe zondirovanie poverkhnosti (Satellite Earth observation: Radar remote sensing of the surface), Moscow: Krasand, 2012, 248 p. (in Russian).
- Kiseleva E. A., Mikhailov V. O., Smolyaninova E. I., Dmitriev P. N., On monitoring surface displacements of natural terrains using SAR interferometry, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, V. 14, No. 5, pp. 122–134 (in Russian), DOI: 10.21046/2070-7401-2017-14-5-122-132.
- Chimitdorzhiev T. N., Zakharov A. I., Tatkov G. I., Haptanov V. B., Dmitriev A. V., Budaev R. C., Cybenov J. B., Study of soils cryogenic deformation in Selenga River delta by means of SAR interferometry and georadar sounding, Issledovanie Zemli iz kosmosa, 2011, No. 5, pp. 58–63 (in Russian).
- Chimitdorzhiev T. N., Dmitriev A. V., Kirbizhekova I. I. et al., Remote optical-microwave measurements of forest parameters: modern state of research and experimental assessment of potentials, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, V. 15, No. 4, pp. 9–24 (in Russian), DOI: 10.21046/2070-7401-2018-15-4-9-24.
- Cloude S., Polarisation: Applications in remote sensing, Oxford: Oxford University Press, 2009, 453 p.
- Cloude S. R., Papathanassiou K. P., Polarimetric SAR interferometry, IEEE Trans. Geoscience and Remote Sensing, 1998, V. 36, No. 5, pp. 1551–1565, DOI: 10.1109/36.718859.
- Dagurov P. N., Chimitdorzhiev T. N., Dmitriev A. V., Dobrynin S. I., Estimation of snow water equivalent from L-band radar interferometry: simulation and experiment, Intern. J. Remote Sensing, 2020, V. 41, No. 24, pp. 9328–9359, DOI: 10.1080/01431161.2020.1798551.
- Hu S., Xie Q., Ballester-Berman J. D. et al., A general three-component polarimetric SAR interferometry target decomposition, Advances in Space Research, 2024, V. 74, Iss. 11, pp. 5428–5437, DOI: 10.1016/j.asr.2024.08.043.
- Joshi S. K., Kumar S., Spaceborne PolInSAR tomography for vertical profile retrieval of forest vegetation, J. Applied Remote Sensing, 2017, V. 11, No. 1, Article 016001, DOI: 10.1117/1.JRS.11.016001.
- Lee J.-S., Pottier E., Polarimetric radar imaging: from basics to applications, Boca Raton: CRC Press, 2009, 398 p.
- Papathanassiou K. P., Cloude S. R., Single-baseline polarimetric SAR interferometry, IEEE Trans. Geoscience and Remote Sensing, 2001, V. 39, No. 11, pp. 2352–2363, DOI: 10.1109/36.964971.
- Qiao H., Zhang P., Li Z. et al., A new snow depth retrieval method by improved hybrid DEM differencing and coherence amplitude algorithm for PolInSAR, J. Hydrology, 2024, V. 628, Article 130507, DOI: 10.1016/j.jhydrol.2023.130507.
- Sandwell D. T., Price E. J., Phase gradient approach to stacking interferograms, J. Geophysical Research: Solid Earth, 1998, V. 103, No. B12, pp. 30183–30204, DOI: 10.1029/1998JB900008.
- Seppi S., López-Martínez C., Joseau M. J., An assessment of SAOCOM L-band PolInSAR capabilities for canopy height estimation: A case study over managed forests in Argentina, IEEE J. Selected Topics in Applied Earth Observations and Remote Sensing, 2024, V. 17, pp. 5001–5014, DOI: 10.1109/JSTARS.2024.3363435.
- Xing C., Wang H., Zhang Z. et al., A review of forest height inversion by PolInSAR: Theory, advances, and perspectives, Remote Sensing, 2023, V. 15, No. 15, Article 3781, DOI: 10.3390/rs15153781.
- Zakharov A., Zakharova L., An influence of snow covers on the radar interferometry observations of industrial infrastructure: Norilsk thermal power plant case, Remote Sensing, 2023, V. 15, No. 3, Article 654, DOI: 10.3390/rs15030654.