Near-infrared digital photography to estimate snow correlation length for microwave emission modeling

Toure, Ally M.; Goita, Kalifa; Royer, Alain; Mätzler, Christian; Schneebeli, Martin (2008). Near-infrared digital photography to estimate snow correlation length for microwave emission modeling. Applied optics, 47(36), pp. 6723-6733. Washington, D.C.: Optical Society of America 10.1364/AO.47.006723

[img]
Preview
Text
ao-47-36-6723.pdf - Published Version
Available under License Publisher holds Copyright.
This paper was published in Applied Optics and is made available as an electronic reprint with the permission of OSA. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law.

Download (1MB) | Preview

The study is based on experimental work conducted in alpine snow. We made microwave radiometric and near-infrared reflectance measurements of snow slabs under different experimental conditions. We used an empirical relation to link near-infrared reflectance of snow to the specific surface area (SSA), and converted the SSA into the correlation length. From the measurements of snow radiances at 21 and 35 GHz , we derived the microwave scattering coefficient by inverting two coupled radiative transfer models (the sandwich and six-flux model). The correlation lengths found are in the same range as those determined in the literature using cold laboratory work. The technique shows great potential in the determination of the snow correlation length under field conditions.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Applied Physics

UniBE Contributor:

Mätzler, Christian

ISSN:

0003-6935

Publisher:

Optical Society of America

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 15:23

Last Modified:

05 Dec 2022 14:26

Publisher DOI:

10.1364/AO.47.006723

Web of Science ID:

000262494800005

BORIS DOI:

10.7892/boris.37624

URI:

https://boris.unibe.ch/id/eprint/37624 (FactScience: 208949)

Actions (login required)

Edit item Edit item
Provide Feedback