Sensitivity of Sentinel-1 C-band SAR backscatter, polarimetry and interferometry to snow accumulation in the Alps

被引:1
作者
Jans, Jonas-Frederik [1 ]
De Breuck, Morgane [1 ]
De Breuck, Morgane [1 ]
Brangers, Isis [2 ]
De Lannoy, Gabrielle [2 ]
De Lannoy, Gabrielle [2 ]
Lievens, Hans [1 ]
机构
[1] Univ Ghent, Dept Environm, Ghent, Belgium
[2] Katholieke Univ Leuven, Dept Earth & Environm Sci, Leuven, Belgium
基金
比利时弗兰德研究基金会;
关键词
Sentinel-1; backscatter; Polarimetry; Interferometry; Snow dynamics; Local incidence angle; WATER EQUIVALENT; DRY; DECOMPOSITION; DECORRELATION; CRYOSPHERE; SCATTERING; RESOLUTION; RETRIEVAL; CLIMATE; SERIES;
D O I
10.1016/j.rse.2024.114477
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The physical drivers of Sentinel-1 C-band backscatter observations during snow accumulation are still uncertain. To investigate these, backscatter fluctuations (in co-polarization VV, cross-polarization VH, and cross-polarization ratio VH-VV) were temporally and spatially linked to modeled surface (0-10 cm) soil moisture (SM) and soil temperature (T) (here referred to as soil dynamics) and modeled snow depth (SD) and snow water equivalent (SWE) (snow dynamics) in the bare and herbaceous regions of the Alps at a spatial resolution of 1 km. Results demonstrate that, during snow accumulation and at a regional scale, VH and VH-VV variability is primarily influenced by SD and SWE, whereas VV fluctuations are driven by a combination of soil and snow dynamics. At low local incidence angles, VV is driven by snow dynamics rather than by soil dynamics, which results in a decreased sensitivity of VH-VV to snow accumulation, potentially degrading VH-VV based SD retrieval. Additionally, polarimetric and interferometric Sentinel-1 observations are generated to assess their sensitivity to snow dynamics. Results show that polarimetric alpha (from entropy-alpha dual-pol decomposition) and the first Stokes parameter are more sensitive to SD than VH-VV and VV, respectively, suggesting the potential for improved SD retrievals. Finally, results show that interferometric 6-day coherence observations respond to modeled SWE accumulation, with low coherence values after significant SWE accumulation and higher values in case of minor SWE changes.
引用
收藏
页数:24
相关论文
共 73 条
  • [1] Detection of Frozen Soil Using Sentinel-1 SAR Data
    Baghdadi, Nicolas
    Bazzi, Hassan
    El Hajj, Mohammad
    Zribi, Mehrez
    [J]. REMOTE SENSING, 2018, 10 (08):
  • [2] Potential impacts of a warming climate on water availability in snow-dominated regions
    Barnett, TP
    Adam, JC
    Lettenmaier, DP
    [J]. NATURE, 2005, 438 (7066) : 303 - 309
  • [3] MSWX: Global 3-Hourly 0.1° Bias-Corrected Meteorological Data Including Near-Real-Time Updates and Forecast Ensembles
    Beck, Hylke E.
    Van Dijk, Albert I. J. M.
    Larraondo, Pablo R.
    McVicar, Tim R.
    Pan, Ming
    Dutra, Emanuel
    Miralles, Diego G.
    [J]. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2022, 103 (03) : E710 - E732
  • [4] MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment
    Beck, Hylke E.
    Wood, Eric F.
    Pan, Ming
    Fisher, Colby K.
    Miralles, Diego G.
    van Dijk, Albert I. J. M.
    McVicar, Tim R.
    Adler, Robert F.
    [J]. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2019, 100 (03) : 473 - 502
  • [5] Beernaert E., 2023, Data Assimilation of Satellite Retrieved Snow Depth (SD) and Snow Water Equivalent (SWE) into a Snow Model
  • [6] The Potential of Multifrequency Spaceborne DInSAR Measurements for the Retrieval of Snow Water Equivalent
    Belinska, Kristina
    Fischer, Georg
    Parrella, Giuseppe
    Hajnsek, Irena
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 17 : 2950 - 2962
  • [7] Dependence of C-Band Backscatter on Ground Temperature, Air Temperature and Snow Depth in Arctic Permafrost Regions
    Bergstedt, Helena
    Zwieback, Simon
    Bartsch, Annett
    Leibman, Marina
    [J]. REMOTE SENSING, 2018, 10 (01):
  • [8] The potential of times series of C-band SAR data to monitor dry and shallow snow cover
    Bernier, M
    Fortin, JP
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1998, 36 (01): : 226 - 243
  • [9] LiDAR remote sensing of the cryosphere: Present applications and future prospects
    Bhardwaj, Anshuman
    Sam, Lydia
    Bhardwaj, Akanksha
    Javier Martin-Torres, F.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2016, 177 : 125 - 143
  • [10] Toward a complete Himalayan hydrological budget: Spatiotemporal distribution of snowmelt and rainfall and their impact on river discharge
    Bookhagen, Bodo
    Burbank, Douglas W.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE, 2010, 115