TY - CHAP
T1 - Tower Based C-Band Radar Observations of the Snowpack
AU - Brangers, Isis
AU - Marshall, Hans-Peter
AU - De Lannoy, Gabrielle
AU - Lievens, Hans
N1 - Brangers, Isis; Marshall, Hans-Peter; De Lannoy, Gabrielle; and Lievens, Hans. (2022). "Tower Based C-Band Radar Observations of the Snowpack". In IGARSS 2022: 2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 4559-4562). IEEE. https://doi.org/10.1109/IGARSS46834.2022.9884416
PY - 2022/1/1
Y1 - 2022/1/1
N2 - Recent research has shown the sensitivity of Sentinel-1 C-band (5.4 GHz) radar data to snow depth. This finding could potentially help fill a long standing gap in remote sensing, but the physical basis behind this sensitivity is not yet sufficiently understood. A field experiment was set-up at two sites in the US Rocky Mountains in Idaho to study the polarimetric radar response, continuously throughout multiple winter seasons. This paper describes the design and properties of the tower-based, fully polarimetric, C-band radar system and presents the first findings. Hourly measurements were made during the winters of 2019–2020 and 2020–2021 at two different sites in Idaho. When studying the time domain responses, the scattering from the snow volume, the ground surface and multiple bounces can be discerned.
AB - Recent research has shown the sensitivity of Sentinel-1 C-band (5.4 GHz) radar data to snow depth. This finding could potentially help fill a long standing gap in remote sensing, but the physical basis behind this sensitivity is not yet sufficiently understood. A field experiment was set-up at two sites in the US Rocky Mountains in Idaho to study the polarimetric radar response, continuously throughout multiple winter seasons. This paper describes the design and properties of the tower-based, fully polarimetric, C-band radar system and presents the first findings. Hourly measurements were made during the winters of 2019–2020 and 2020–2021 at two different sites in Idaho. When studying the time domain responses, the scattering from the snow volume, the ground surface and multiple bounces can be discerned.
KW - C-band
KW - Sentinel-1
KW - radar
KW - snow
UR - https://scholarworks.boisestate.edu/geo_facpubs/753
UR - https://doi.org/10.1109/IGARSS46834.2022.9884416
UR - http://www.scopus.com/inward/record.url?scp=85140366906&partnerID=8YFLogxK
U2 - 10.1109/IGARSS46834.2022.9884416
DO - 10.1109/IGARSS46834.2022.9884416
M3 - Chapter
T3 - 2022-July
SP - 4559
EP - 4562
BT - IGARSS 2022: 2022 IEEE International Geoscience and Remote Sensing Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Y2 - 17 July 2022 through 22 July 2022
ER -