volume 306 pages 114145

Global estimates of L-band vegetation optical depth and soil permittivity of snow-covered boreal forests and permafrost landscape using SMAP satellite data

Divya Kumawat 1
Ardeshir Ebtehaj 1
M. Schwank 2
Xiaojun Li 3
Publication typeJournal Article
Publication date2024-05-01
scimago Q1
wos Q1
SJR3.972
CiteScore22.6
Impact factor11.4
ISSN00344257, 18790704
Soil Science
Geology
Computers in Earth Sciences
Abstract
The tau-omega model is expanded 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 error standard deviations of a least-squared inversion are 0.1 and 3.5 for VOD and ground permittivity, over moderately dense vegetation and a snow density ranging from 100 to 400 kg m−3, considering noisy brightness temperatures with a standard deviation of 1 kelvin. Using the Soil Moisture Active Passive (SMAP) satellite observations, new global estimates of VOD and ground permittivity are presented over the Arctic boreal forests and permafrost areas. In the absence of dense in situ observations of ground permittivity and VOD, the retrievals are causally validated using ancillary variables including ground temperature, above-ground biomass, tree height, and net ecosystem exchange of carbon dioxide. Time-series analyses promise that the new data set can expand our understanding of the land–atmosphere interactions and exchange of carbon fluxes over Arctic landscapes.
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Kumawat D. et al. Global estimates of L-band vegetation optical depth and soil permittivity of snow-covered boreal forests and permafrost landscape using SMAP satellite data // Remote Sensing of Environment. 2024. Vol. 306. p. 114145.
GOST all authors (up to 50) Copy
Kumawat D., Ebtehaj A., Schwank M., Li X., Wigneron J. Global estimates of L-band vegetation optical depth and soil permittivity of snow-covered boreal forests and permafrost landscape using SMAP satellite data // Remote Sensing of Environment. 2024. Vol. 306. p. 114145.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1016/j.rse.2024.114145
UR - https://linkinghub.elsevier.com/retrieve/pii/S0034425724001561
TI - Global estimates of L-band vegetation optical depth and soil permittivity of snow-covered boreal forests and permafrost landscape using SMAP satellite data
T2 - Remote Sensing of Environment
AU - Kumawat, Divya
AU - Ebtehaj, Ardeshir
AU - Schwank, M.
AU - Li, Xiaojun
AU - Wigneron, Jean-Pierre
PY - 2024
DA - 2024/05/01
PB - Elsevier
SP - 114145
VL - 306
SN - 0034-4257
SN - 1879-0704
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2024_Kumawat,
author = {Divya Kumawat and Ardeshir Ebtehaj and M. Schwank and Xiaojun Li and Jean-Pierre Wigneron},
title = {Global estimates of L-band vegetation optical depth and soil permittivity of snow-covered boreal forests and permafrost landscape using SMAP satellite data},
journal = {Remote Sensing of Environment},
year = {2024},
volume = {306},
publisher = {Elsevier},
month = {may},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0034425724001561},
pages = {114145},
doi = {10.1016/j.rse.2024.114145}
}