TY - GEN
T1 - Estimating Snow Water Equivalent Using Sentinel-1 Repeat-Pass Interferometry
AU - Oveisgharan, Shadi
AU - Zinke, Robert
AU - Keskinen, Zachary
AU - Marshall, Hans Peter
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The Snow Water Equivalent (SWE) is identified as the key element of a snowpack that impacts rivers' streamflow and water cycle. Active and passive microwave remote sensing methods have been used to retrieve SWE. Interferometric Synthetic Aperture Radar (InSAR) has been shown to have the potential to estimate SWE change. In this study, we apply this technique to a large time series of Sentinel-1 data from winter 2021. The retrieved SWE change observations align really well with in situ stations with 0.82 correlation and 0.76cm RSME. The total retrieved SWE also align really well with 16 in situ values in the scene with less than 20cm SWE error. On the other hand, the retrieved SWE using Sentinel-1 data is highly correlated with LIDAR snow depth data with correlation of more than 0.5.
AB - The Snow Water Equivalent (SWE) is identified as the key element of a snowpack that impacts rivers' streamflow and water cycle. Active and passive microwave remote sensing methods have been used to retrieve SWE. Interferometric Synthetic Aperture Radar (InSAR) has been shown to have the potential to estimate SWE change. In this study, we apply this technique to a large time series of Sentinel-1 data from winter 2021. The retrieved SWE change observations align really well with in situ stations with 0.82 correlation and 0.76cm RSME. The total retrieved SWE also align really well with 16 in situ values in the scene with less than 20cm SWE error. On the other hand, the retrieved SWE using Sentinel-1 data is highly correlated with LIDAR snow depth data with correlation of more than 0.5.
KW - InSAR
KW - Sentinel-1
KW - SWE
UR - http://www.scopus.com/inward/record.url?scp=85178362943&partnerID=8YFLogxK
U2 - 10.1109/IGARSS52108.2023.10282893
DO - 10.1109/IGARSS52108.2023.10282893
M3 - Conference contribution
AN - SCOPUS:85178362943
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 856
EP - 859
BT - IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
Y2 - 16 July 2023 through 21 July 2023
ER -