Potential of C-band Sentinel-1 InSAR for ground surface deformation monitoring in the southern boreal forest: An investigation in the Genhe River basin

• Analyze C-band Sentinel-1interferometric quality in the southern boreal forest. • Develop an algorithm for retrieving ground deformation during the freezing season. • Reveal frost curve in the Greater Khingan Mountains. • Freezing-season uplift regions correspond to low-lying wetlands. • Freezing-season deformation exhibits potential for differentiating between forest types. The boreal forest surrounds the Arctic region and is the most extensive ecosystem on Earth; one-third of its soil is influenced by permafrost and accompanying wetlands. Interferometric Synthetic Aperture Radar (InSAR) technology has been widely utilized to monitor ground surface deformation in Arctic tundra and alpine grassland permafrost environments; however, its application in boreal forest areas is limited due to dense canopy cover and severe interferometric decorrelation. This study investigates the application of C-band InSAR to ground surface deformation monitoring in a southern boreal forest environment at Genhe River watershed in the northern part of the Greater Khingan Mountains, Northeast China. The analysis revealed that freezing-season interferograms have higher interferometric qualities and are more suitable for deformation monitoring. An InSAR pair correction and stacking algorithm was developed for retrieving extensive freezing-season deformation which could maximize the use of low-quality InSAR pairs, and reduce the effects of the snow depth phase and atmospheric distortions. The retrieved multiannual freezing-season deformation ranged from –32.8 mm to 129.1 mm. The uplift regions clearly indicate the extent of low-lying wetlands, which are influenced by frost heave caused by freezing soil water. Additionally, the “subsidence” areas correspond to farmland and evergreen coniferous forest regions in the study area, where liquid water content is higher than in other land cover types, thus resulting in a longer optical path for the radar signal. This study presents the first systematic analysis of applying C-band InSAR to ground surface deformation monitoring in the southern boreal forest environment. The retrieved seasonal deformation and deformation processes have a high potential for identifying wetlands, differentiating between forest types, and providing valuable insights into the hydrothermal conditions and dynamics of the boreal ecosystem.

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Publication Details

Journal
International Journal of Applied Earth Observation and Geoinformation
Published
2024-12-01
DOI
https://doi.org/10.1016/j.jag.2024.104302
Citations
3
Primary Topic
Synthetic Aperture Radar (SAR) Applications and Techniques
Type
article
Field-Weighted Citation Impact
3.90

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article

Potential of C-band Sentinel-1 InSAR for ground surface deformation monitoring in the southern boreal forest: An investigation in the Genhe River basin

Guojie Hu, Yu Zhang, Yuanwei Wang, Yao Xiao et al.
3 citations
International Journal of Applied Earth Observation and Geoinformation
Synthetic Aperture Radar (SAR) Applications and Techniques
3.90
article

Potential of C-band Sentinel-1 InSAR for ground surface deformation monitoring in the southern boreal forest: An investigation in the Genhe River basin

Guojie Hu, Yu Zhang, Yuanwei Wang, Yao Xiao, Guangyue Liu, Defu Zou, Zhibin Li, Erji Du, Shibo Liu, Chong Wang, Yuxin Zhang, Lingxiao Wang, Lin Zhao, Chenqi Huang
article en
3 citations

Abstract

• Analyze C-band Sentinel-1interferometric quality in the southern boreal forest. • Develop an algorithm for retrieving ground deformation during the freezing season. • Reveal frost curve in the Greater Khingan Mountains. • Freezing-season uplift regions correspond to low-lying wetlands. • Freezing-season deformation exhibits potential for differentiating between forest types. The boreal forest surrounds the Arctic region and is the most extensive ecosystem on Earth; one-third of its soil is influenced by permafrost and accompanying wetlands. Interferometric Synthetic Aperture Radar (InSAR) technology has been widely utilized to monitor ground surface deformation in Arctic tundra and alpine grassland permafrost environments; however, its application in boreal forest areas is limited due to dense canopy cover and severe interferometric decorrelation. This study investigates the application of C-band InSAR to ground surface deformation monitoring in a southern boreal forest environment at Genhe River watershed in the northern part of the Greater Khingan Mountains, Northeast China. The analysis revealed that freezing-season interferograms have higher interferometric qualities and are more suitable for deformation monitoring. An InSAR pair correction and stacking algorithm was developed for retrieving extensive freezing-season deformation which could maximize the use of low-quality InSAR pairs, and reduce the effects of the snow depth phase and atmospheric distortions. The retrieved multiannual freezing-season deformation ranged from –32.8 mm to 129.1 mm. The uplift regions clearly indicate the extent of low-lying wetlands, which are influenced by frost heave caused by freezing soil water. Additionally, the “subsidence” areas correspond to farmland and evergreen coniferous forest regions in the study area, where liquid water content is higher than in other land cover types, thus resulting in a longer optical path for the radar signal. This study presents the first systematic analysis of applying C-band InSAR to ground surface deformation monitoring in the southern boreal forest environment. The retrieved seasonal deformation and deformation processes have a high potential for identifying wetlands, differentiating between forest types, and providing valuable insights into the hydrothermal conditions and dynamics of the boreal ecosystem.

International Journal of Applied Earth Observation and GeoinformationVol. 135
Chinese Academy of Sciences (CN), Nanjing University of Information Science and Technology (CN), Northwest Institute of Eco-Environment and Resources (CN)
National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, Natural Science Foundation Project of Chongqing, Chongqing Science and Technology Commission
Life in Land
Openalex Percentile: Top 6%
Synthetic Aperture Radar (SAR) Applications and Techniques
3.90
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