TY - GEN
T1 - ANTARCTICA ICE SHEET MELT DETECTION USING A MACHINE LEARNING ALGORITHM BASED ON SMAP MICROWAVE RADIOMETERY
AU - Mousavi, Seyedmohammad
AU - Colliander, Andreas
AU - Miller, Julie Z.
AU - Kimball, John S.
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021
Y1 - 2021
N2 - Low frequency microwave measurements have been used to gain insight into what happens deep inside ice sheets for some time now. In this paper, we used a deep neural network to classify each pixel within SMAP radiometer footprints over the Antarctica ice sheet as melt or no-melt. NASA's SMAP mission offers a valuable additional set of observations. The SMAP L-band (1.4 GHz) radiometer retrievals also cover virtually the entire Antarctica ice sheet twice a day. Consistent morning and evening sampling are provided by 6 AM/PM equator-crossings of the satellite ascending and descending polar orbits. The spatial resolution of the instrument is about 40 km. The cross-entropy loss function is used in our network. To make training and test sets, we used air temperature records from available weather stations to distinguish melt and no-melt ice sheet conditions. Our results show that the ice sheet experienced extensive surface melting during the 2015-2016 melt season, and also intensive melting in 2019-2020, particularity on the West Antarctic Ice Sheet.
AB - Low frequency microwave measurements have been used to gain insight into what happens deep inside ice sheets for some time now. In this paper, we used a deep neural network to classify each pixel within SMAP radiometer footprints over the Antarctica ice sheet as melt or no-melt. NASA's SMAP mission offers a valuable additional set of observations. The SMAP L-band (1.4 GHz) radiometer retrievals also cover virtually the entire Antarctica ice sheet twice a day. Consistent morning and evening sampling are provided by 6 AM/PM equator-crossings of the satellite ascending and descending polar orbits. The spatial resolution of the instrument is about 40 km. The cross-entropy loss function is used in our network. To make training and test sets, we used air temperature records from available weather stations to distinguish melt and no-melt ice sheet conditions. Our results show that the ice sheet experienced extensive surface melting during the 2015-2016 melt season, and also intensive melting in 2019-2020, particularity on the West Antarctic Ice Sheet.
KW - Antarctica
KW - Ice sheet
KW - Melt events
KW - Microwave remote sensing
KW - SMAP radiometer
UR - http://www.scopus.com/inward/record.url?scp=85125998218&partnerID=8YFLogxK
U2 - 10.1109/IGARSS47720.2021.9553812
DO - 10.1109/IGARSS47720.2021.9553812
M3 - Conference contribution
AN - SCOPUS:85125998218
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 5528
EP - 5531
BT - IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Y2 - 12 July 2021 through 16 July 2021
ER -