IMHE OpenIR  > 山地表生过程与生态调控重点实验室
Assessing the glacier boundaries in the Qinghai-Tibetan Plateau of China by multi-temporal coherence estimation with Sentinel-1A InSAR
Shi Yueling1; Liu Guoxiang1,2; Wang Xiaowen1; Liu Qiao3; Zhang Rui1,2; Jia Hongguo1,2
2019
Source PublicationRemote Sensing
ISSN0
EISSN2072-4292
Volume11Issue:4Pages:392
SubtypeArticle
Contribution Rank3
AbstractThe sensitivity of synthetic aperture radar (SAR) coherence has been applied in delineating the boundaries of alpine glaciers because it is nearly unaffected by cloud coverage and can collect data day and night. However, very limited work with application of SAR data has been performed for the alpine glaciers in the Qinghai-Tibetan Plateau (QTP) of China. In this study, we attempted to investigate the change of coherence level in alpine glacier zone and access the glacier boundaries in the QTP using time series of Sentinel-1A SAR images. The DaDongkemadi Glacier (DDG) in the central QTP was selected as the study area with land cover mainly classified into wet snow, ice, river outwash and soil land. We utilized 45 Sentinel-1A C-band SAR images collected during October of 2014 through January of 2018 over the DDG to generate time series of interferometric coherence maps, and to further extract the DDG boundaries. Based on the spatiotemporal analysis of coherence values in the selected sampling areas, we first determined the threshold as 0.7 for distinguishing among different ground targets and then extracted the DDG boundaries through threshold-based segmentation and edge detection. The validation was performed by comparing the DDG boundaries extracted from the coherence maps with those extracted from the Sentinel-2B optical image. The testing results show that the wet snow and ice present a relatively low level of coherence (about 0.5), while the river outwash and the soil land present a higher level of coherence (0.8-1.0). It was found that the coherence maps spanning between June and September (i.e., the glacier ablation period) are the most suitable for identifying the snow- and ice-covered areas. When compared with the boundary detected using optical image, the mean value of Jaccard similarity coefficient for the total areas within the DDG boundaries derived from the coherence maps selected around July, August and September reached up to 0.9010. In contrast, the mean value from the coherence maps selected around December was relatively lower (0.8862). However, the coherence maps around December were the most suitable for distinguishing the ice from the river outwash around the DDG terminus, as the river outwash areas could hardly be differentiated from the ice-covered areas from June through September. The correlation analysis performed by using the meteorological data (i.e., air temperature and precipitation records) suggests that the air temperature and precipitation have a more significant influence on the coherence level of the ice and river outwash than the wet snow and soil land. The proposed method, applied efficiently in this study, shows the potential of multi-temporal coherence estimation from the Sentinel-1A mission to access the boundaries of alpine glaciers on a larger scale in the QTP. © 2019 by the authors.
KeywordAtmospheric temperature Edge detection Geometrical optics Ice Image processing Radar imaging Rivers Snow Soil testing Soils Time series
DOI10.3390/rs11040392
Indexed ByEI
Language英语
EI Accession NumberAccession number:20191006613007
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/26628
Collection山地表生过程与生态调控重点实验室
Corresponding AuthorLiu Guoxiang
Affiliation1.Department of Surveying and Geo-Informatics, Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu; 611756, China;
2.State-Province Joint Eng. Lab. in Spatial Information Tech. for High-Speed Railway Safety, Southwest Jiaotong University, Chengdu; 611756, China;
3.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu; 610041, China
Recommended Citation
GB/T 7714
Shi Yueling,Liu Guoxiang,Wang Xiaowen,et al. Assessing the glacier boundaries in the Qinghai-Tibetan Plateau of China by multi-temporal coherence estimation with Sentinel-1A InSAR[J]. Remote Sensing,2019,11(4):392.
APA Shi Yueling,Liu Guoxiang,Wang Xiaowen,Liu Qiao,Zhang Rui,&Jia Hongguo.(2019).Assessing the glacier boundaries in the Qinghai-Tibetan Plateau of China by multi-temporal coherence estimation with Sentinel-1A InSAR.Remote Sensing,11(4),392.
MLA Shi Yueling,et al."Assessing the glacier boundaries in the Qinghai-Tibetan Plateau of China by multi-temporal coherence estimation with Sentinel-1A InSAR".Remote Sensing 11.4(2019):392.
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