Global Estimates of L-band Vegetation Optical Depth and Soil Permittivity over Snow-covered Boreal Forests and Permafrost using SMAP Satellite Data
Divya Kumawat, Ardeshir Ebtehaj, Mike Schwank, Jean-Pierre Wigneron,, Xiaojun Li

TL;DR
This study extends a microwave emission model to estimate vegetation optical depth and soil permittivity over snow-covered boreal forests using SMAP satellite data, providing new global datasets for winter Arctic regions.
Contribution
It introduces a closed-form solution of Maxwell's equations for L-band emission modeling and demonstrates the feasibility of retrieving VOD and permittivity from noisy satellite data.
Findings
Successful retrieval of VOD and permittivity with quantified uncertainties.
Global estimates of vegetation and soil properties over Arctic boreal forests.
Potential to improve understanding of land-atmosphere interactions and carbon fluxes.
Abstract
This article expands the tau-omega model to properly simulate L-band microwave emission of the soil-snow-vegetation continuum through a closed-form solution of Maxwell's equations, considering the intervening dry snow layer as a loss-less medium. The feasibility and uncertainty of retrieving vegetation optical depth (VOD) and ground permittivity, given the noisy L-band brightness temperatures with 1 K (1-sigma), are demonstrated through controlled numerical experiments. For moderately dense vegetation canopy and a range of 100--400 snow density, the standard deviation of the retrieval errors is 0.1 and 3.5 for VOD and ground permittivity respectively. Using L-band observations from the Soil Moisture Active Passive (SMAP) satellite, a new data set of global estimates of VOD and ground permittivity are presented over the Arctic boreal forests and permafrost areas during winter…
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Taxonomy
TopicsClimate change and permafrost · Cryospheric studies and observations · Soil Moisture and Remote Sensing
