Potential of C-band Sentinel-1 InSAR for ground surface deformation monitoring in the southern boreal forest: An investigation in the Genhe River basin
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 Arcti...
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Elsevier
2024-12-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843224006605 |
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| author | Chenqi Huang Lingxiao Wang Lin Zhao Shibo Liu Defu Zou Guangyue Liu Guojie Hu Erji Du Yao Xiao Chong Wang Yuxin Zhang Yuanwei Wang Yu Zhang Zhibin Li |
| author_facet | Chenqi Huang Lingxiao Wang Lin Zhao Shibo Liu Defu Zou Guangyue Liu Guojie Hu Erji Du Yao Xiao Chong Wang Yuxin Zhang Yuanwei Wang Yu Zhang Zhibin Li |
| author_sort | Chenqi Huang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-75078e088d3f4b3a9022bba36e6f5c0b |
| institution | Kabale University |
| issn | 1569-8432 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj-art-75078e088d3f4b3a9022bba36e6f5c0b2024-12-19T10:52:57ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322024-12-01135104302Potential of C-band Sentinel-1 InSAR for ground surface deformation monitoring in the southern boreal forest: An investigation in the Genhe River basinChenqi Huang0Lingxiao Wang1Lin Zhao2Shibo Liu3Defu Zou4Guangyue Liu5Guojie Hu6Erji Du7Yao Xiao8Chong Wang9Yuxin Zhang10Yuanwei Wang11Yu Zhang12Zhibin Li13School of Geographical Sciences, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, ChinaSchool of Geographical Sciences, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, China; Corresponding author.School of Geographical Sciences, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, China; Cryosphere Research Station on Qinghai-Xizang Plateau, State Key Laboratory of Cryosphere Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou 730000, ChinaSchool of Geographical Sciences, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, ChinaCryosphere Research Station on Qinghai-Xizang Plateau, State Key Laboratory of Cryosphere Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou 730000, ChinaCryosphere Research Station on Qinghai-Xizang Plateau, State Key Laboratory of Cryosphere Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou 730000, ChinaCryosphere Research Station on Qinghai-Xizang Plateau, State Key Laboratory of Cryosphere Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou 730000, ChinaCryosphere Research Station on Qinghai-Xizang Plateau, State Key Laboratory of Cryosphere Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou 730000, ChinaCryosphere Research Station on Qinghai-Xizang Plateau, State Key Laboratory of Cryosphere Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou 730000, ChinaSchool of Geographical Sciences, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, ChinaSchool of Geographical Sciences, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, ChinaSchool of Geographical Sciences, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, ChinaSchool of Geographical Sciences, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, ChinaSchool of Geographical Sciences, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, ChinaThe 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.http://www.sciencedirect.com/science/article/pii/S1569843224006605C-bandInSARGround surface deformationBoreal forestGreater Khingan MountainsWetland |
| spellingShingle | Chenqi Huang Lingxiao Wang Lin Zhao Shibo Liu Defu Zou Guangyue Liu Guojie Hu Erji Du Yao Xiao Chong Wang Yuxin Zhang Yuanwei Wang Yu Zhang Zhibin Li Potential of C-band Sentinel-1 InSAR for ground surface deformation monitoring in the southern boreal forest: An investigation in the Genhe River basin International Journal of Applied Earth Observations and Geoinformation C-band InSAR Ground surface deformation Boreal forest Greater Khingan Mountains Wetland |
| title | Potential of C-band Sentinel-1 InSAR for ground surface deformation monitoring in the southern boreal forest: An investigation in the Genhe River basin |
| title_full | Potential of C-band Sentinel-1 InSAR for ground surface deformation monitoring in the southern boreal forest: An investigation in the Genhe River basin |
| title_fullStr | Potential of C-band Sentinel-1 InSAR for ground surface deformation monitoring in the southern boreal forest: An investigation in the Genhe River basin |
| title_full_unstemmed | Potential of C-band Sentinel-1 InSAR for ground surface deformation monitoring in the southern boreal forest: An investigation in the Genhe River basin |
| title_short | Potential of C-band Sentinel-1 InSAR for ground surface deformation monitoring in the southern boreal forest: An investigation in the Genhe River basin |
| title_sort | potential of c band sentinel 1 insar for ground surface deformation monitoring in the southern boreal forest an investigation in the genhe river basin |
| topic | C-band InSAR Ground surface deformation Boreal forest Greater Khingan Mountains Wetland |
| url | http://www.sciencedirect.com/science/article/pii/S1569843224006605 |
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