TY - GEN
T1 - P-and L-Band Retrieval of Subsurface Soil Moisture and Temperature Profiles as First-Order Polynomial Function
AU - Li, Ming
AU - Lang, Roger
AU - Bindlish, Rajat
AU - O'Nei, Peggy
AU - Cosh, Michael
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper demonstrates the potential use of P and L band passive measurements to determine root zone soil moisture (SM) and soil temperature (ST). SM and ST data have been taken as a function of depth during the NASA GSFC PLEX 19 experiment in the summer of 2019 at Beltsville, MD, USA. Using these data, a coherent model has been used to compute H and V brightness temperatures at frequencies of 0.8 and 1.4 GHz with an observation angle of 35 degrees. These synthetic brightness data are then used to estimate the SM and ST profiles which are represented by linear polynomials. The inversion problem is formulated as a least square problem that is solved by a global optimization method known as the Adaptive Simulated Annealing (ASA) method. Four inversion examples having different SM and ST profiles are presented. Selected results show that the standard deviation between the retrieved and measured data is less than 0.077 text{cm}{3}/text{cm}{3} for SM, and 2.245 °C for ST.
AB - This paper demonstrates the potential use of P and L band passive measurements to determine root zone soil moisture (SM) and soil temperature (ST). SM and ST data have been taken as a function of depth during the NASA GSFC PLEX 19 experiment in the summer of 2019 at Beltsville, MD, USA. Using these data, a coherent model has been used to compute H and V brightness temperatures at frequencies of 0.8 and 1.4 GHz with an observation angle of 35 degrees. These synthetic brightness data are then used to estimate the SM and ST profiles which are represented by linear polynomials. The inversion problem is formulated as a least square problem that is solved by a global optimization method known as the Adaptive Simulated Annealing (ASA) method. Four inversion examples having different SM and ST profiles are presented. Selected results show that the standard deviation between the retrieved and measured data is less than 0.077 text{cm}{3}/text{cm}{3} for SM, and 2.245 °C for ST.
KW - adaptive simulated annealing
KW - brightness temperature
KW - P and L bands
KW - Root zone soil moisture
KW - soil temperature
UR - https://www.scopus.com/pages/publications/85140371740
U2 - 10.1109/IGARSS46834.2022.9883911
DO - 10.1109/IGARSS46834.2022.9883911
M3 - Conference contribution
AN - SCOPUS:85140371740
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 6185
EP - 6188
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 -