Spectral Linear Mixing Model application in passive microwave data to analyze Antarctic surface melting dynamics (1978-2018)

Abstract Several studies have utilized passive microwave imagery for monitoring snowmelt in Antarctica. However, due to the low spatial resolution of these images (25 km), the quantification of snowmelt is not precise. To enhance the accuracy of these estimations, this study proposed a subpixel anal...

Full description

Bibliographic Details
Published in:Anais da Academia Brasileira de Ciências
Main Authors: CLAUDIO W. MENDES JÚNIOR, JORGE ARIGONY NETO, FERNANDO L. HILLEBRAND, MARCOS W.D. DE FREITAS, JULIANA COSTI, JEFFERSON C. SIMÕES
Format: Article in Journal/Newspaper
Language:English
Published: Academia Brasileira de Ciências 2023
Subjects:
Q
Online Access:https://doi.org/10.1590/0001-3765202320230732
https://doaj.org/article/a33ff90b90434a9ea16e1138068ad1bf
Description
Summary:Abstract Several studies have utilized passive microwave imagery for monitoring snowmelt in Antarctica. However, due to the low spatial resolution of these images (25 km), the quantification of snowmelt is not precise. To enhance the accuracy of these estimations, this study proposed a subpixel analysis approach based on a Spectral Linear Mixing Model. This approach was applied to images obtained from channels 18/19 GHz and 37 GHz, both horizontally and vertically polarized, acquired from the Scanning Multichannel Microwave Radiometer (SMMR), Special Sensor Microwave Imager (SSM/I), and Special Sensor Microwave Imager/Sounder (SSM/IS) instruments, spanning the period 1978-2018. The spatiotemporal analysis of the estimated snowmelt fraction images indicated that the most persistent and intensive melt was observed on the Antarctic Peninsula, particularly on the Larsen, Wilkins, George VI, and Wordie ice shelves. The melting period in the Antarctic Peninsula began in late October, with a peak in early January, and ended in late March. Other regions with persistent and intensive snowmelt were Mary Bird Land and Wilkes Land, followed by Dronning Maud Land, Amery Ice Shelf, Filchner-Ronne Ice Shelf, and Ross Ice Shelf. These snowmelt data are valuable for modeling the impacts of snowmelt on glacial systems, local coastal environments, and sea-level rise.