@inproceedings{a24a1ad62f644d88b07351e680d00694,
title = "Indirect Estimation of Vegetation Contribution to Microwave Backscatter Via Triple-Frequency SAR Data",
abstract = "A coupled snow physics-radiative transfer forward-inversion modeling system was applied over snow-covered terrain in Grand Mesa and the Senator Beck Basin, Colorado, USA to estimate vegetation contributions to the total backscatter from the ground-snow-vegetation system from dual-frequency airborne SnowSAR (X- and Ku-bands) and Sentinel-1 C-band measurements. A simplified but comprehensive first-order microwave emission model (MEMLS-V) was iteratively inverted by a global optimizer using simulated annealing to retrieve unknown parameters and backscatter components from double-bounce, snowpack volume, and snow-ground interface. The retrieved parameters demonstrate high correlation with the observed SnowSAR signal dynamics tied to vegetation and snowpack heterogeneities. This suggests that the forward-inversion system accounting for complex multiple scattering within the ground-snow-vegetation system reliably regulated compensation effects of vegetation and backscatter at the snow-ground interface. The findings have useful practical implications for retrieving large-scale SWE in the northern hemisphere boreal forests from satellite-based radar measurements.",
keywords = "MEMLS, SnowSAR, forward-inversion modeling system, simulated annealing, vegetation heterogeneities",
author = "Yueqian Cao and Barros, {Ana P.}",
note = "Program under NASA grant NNX17AL44G with Ana P. Barros. The authors appreciate the National Snow & Ice Data Center for providing the NASA 2017 SnowEx data and all the colleagues who worked on the field campaign to collect the valuable datasets. The authors also appreciate the European Space Agency (ESA) for Sentinel-1 observations.; 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 ; Conference date: 16-07-2023 Through 21-07-2023",
year = "2023",
doi = "10.1109/IGARSS52108.2023.10281754",
language = "English (US)",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3114--3117",
booktitle = "IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings",
address = "United States",
}