TY - GEN
T1 - Using Phase-Delay Approaches to Estimate Snow Properties
T2 - 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
AU - Marshall, H. P.
AU - Storms, Scott
AU - Deeb, Elias
AU - Forster, Rick
AU - Vuyovich, Carrie
AU - Elder, Kelly
AU - Durand, Mike
AU - Hiemstra, Chris
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - During 2020 and 2021, the NASA SnowEx Mission performed a time series with UAVSAR, and L-band InSAR, in the Western U.S. Small field efforts were performed throughout the time series, and in addition, SnowEx carried out an intensive campaign on Grand Mesa, involving five aircraft with seven different airborne instruments, and a large field campaign. Snow properties can vary significantly over distances of 50-200 meters, and therefore rapid techniques for measuring bulk snow properties are valuable for calibration and validation of snow remote sensing efforts. We developed and deployed a ground-based microwave radar from a snowmobile, during the 2020 NASA SnowEx campaign on Grand Mesa. These observations provide information about the spatial distribution of snow depth, snow water equivalent, and stratigraphy, and were performed coincident with many different in-situ and airborne snow remote sensing observations.
AB - During 2020 and 2021, the NASA SnowEx Mission performed a time series with UAVSAR, and L-band InSAR, in the Western U.S. Small field efforts were performed throughout the time series, and in addition, SnowEx carried out an intensive campaign on Grand Mesa, involving five aircraft with seven different airborne instruments, and a large field campaign. Snow properties can vary significantly over distances of 50-200 meters, and therefore rapid techniques for measuring bulk snow properties are valuable for calibration and validation of snow remote sensing efforts. We developed and deployed a ground-based microwave radar from a snowmobile, during the 2020 NASA SnowEx campaign on Grand Mesa. These observations provide information about the spatial distribution of snow depth, snow water equivalent, and stratigraphy, and were performed coincident with many different in-situ and airborne snow remote sensing observations.
KW - InSAR
KW - lidar
KW - radar
KW - snow
UR - http://www.scopus.com/inward/record.url?scp=85178369597&partnerID=8YFLogxK
U2 - 10.1109/IGARSS52108.2023.10281420
DO - 10.1109/IGARSS52108.2023.10281420
M3 - Conference contribution
AN - SCOPUS:85178369597
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 848
EP - 851
BT - IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 16 July 2023 through 21 July 2023
ER -