PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration

Thomas Jagdhuber; M. Baur; Mathias Link; M. Piles; D. Entekhabi; C. Montzka; Jaakko Seppanen; Oleg Antropov; J. Praks; A. Löw

doi:10.1109/IGARSS.2017.8127958

PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration

Thomas Jagdhuber, M. Baur, Mathias Link, M. Piles, D. Entekhabi, C. Montzka, Jaakko Seppanen, Oleg Antropov, J. Praks, A. Löw

Not published at VTT

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

Abstract

Vegetation optical depth and scattering albedo are crucial parameters within the widely used τ-ω model for passive microwave remote sensing of vegetation and soil. A multi-sensor data integration approach using ICESat lidar vegetation heights and SMAP radar as well as radiometer data enables a direct retrieval of the two parameters on a physics-derived basis. The crucial step within the retrieval methodology is the calculus of the vegetation scattering coefficient K_S, where one exact and three approximated solutions are provided. It is shown that, when using the assumption of a randomly oriented volume, the backscatter measurements of the radar provide a sufficient first order estimate and subsequently lead to effective estimates of vegetation optical depth and scattering albedo acquired with the novel multi-sensor approach.

Original language	English
Title of host publication	2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	4322-4325
ISBN (Electronic)	978-1-5090-4951-6, 978-1-5090-4950-9
ISBN (Print)	978-1-5090-4952-3
DOIs	https://doi.org/10.1109/IGARSS.2017.8127958
Publication status	Published - 1 Dec 2017
MoE publication type	A4 Article in a conference publication
Event	37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth, United States Duration: 23 Jul 2017 → 28 Jul 2017

Publication series

Series	IEEE International Geoscience and Remote Sensing Symposium Proceedings
Volume	37
ISSN	2153-6996

Conference

Conference	37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Abbreviated title	IGARSS
Country/Territory	United States
City	Fort Worth
Period	23/07/17 → 28/07/17

Keywords

ICESat
Multi-sensor
Scattering albedo
SMAP
Vegetation optical depth

Access to Document

10.1109/IGARSS.2017.8127958

Cite this

Jagdhuber, T., Baur, M., Link, M., Piles, M., Entekhabi, D., Montzka, C., Seppanen, J., Antropov, O., Praks, J., & Löw, A. (2017). PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration. In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 4322-4325). Article 8127958 IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/IGARSS.2017.8127958

Jagdhuber, Thomas ; Baur, M. ; Link, Mathias et al. / PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE Institute of Electrical and Electronic Engineers, 2017. pp. 4322-4325 (IEEE International Geoscience and Remote Sensing Symposium Proceedings, Vol. 37).

@inproceedings{425df83379bc426b8f61c859b4ed5e64,

title = "PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration",

abstract = "Vegetation optical depth and scattering albedo are crucial parameters within the widely used τ-ω model for passive microwave remote sensing of vegetation and soil. A multi-sensor data integration approach using ICESat lidar vegetation heights and SMAP radar as well as radiometer data enables a direct retrieval of the two parameters on a physics-derived basis. The crucial step within the retrieval methodology is the calculus of the vegetation scattering coefficient KS, where one exact and three approximated solutions are provided. It is shown that, when using the assumption of a randomly oriented volume, the backscatter measurements of the radar provide a sufficient first order estimate and subsequently lead to effective estimates of vegetation optical depth and scattering albedo acquired with the novel multi-sensor approach.",

keywords = "ICESat, Multi-sensor, Scattering albedo, SMAP, Vegetation optical depth",

author = "Thomas Jagdhuber and M. Baur and Mathias Link and M. Piles and D. Entekhabi and C. Montzka and Jaakko Seppanen and Oleg Antropov and J. Praks and A. L{\"o}w",

year = "2017",

month = dec,

day = "1",

doi = "10.1109/IGARSS.2017.8127958",

language = "English",

isbn = "978-1-5090-4952-3",

series = "IEEE International Geoscience and Remote Sensing Symposium Proceedings",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

pages = "4322--4325",

booktitle = "2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)",

address = "United States",

note = "37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017, IGARSS ; Conference date: 23-07-2017 Through 28-07-2017",

}

Jagdhuber, T, Baur, M, Link, M, Piles, M, Entekhabi, D, Montzka, C, Seppanen, J, Antropov, O, Praks, J & Löw, A 2017, PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration. in 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)., 8127958, IEEE Institute of Electrical and Electronic Engineers, IEEE International Geoscience and Remote Sensing Symposium Proceedings, vol. 37, pp. 4322-4325, 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017, Fort Worth, United States, 23/07/17. https://doi.org/10.1109/IGARSS.2017.8127958

PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration. / Jagdhuber, Thomas; Baur, M.; Link, Mathias et al.
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE Institute of Electrical and Electronic Engineers, 2017. p. 4322-4325 8127958 (IEEE International Geoscience and Remote Sensing Symposium Proceedings, Vol. 37).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration

AU - Jagdhuber, Thomas

AU - Baur, M.

AU - Link, Mathias

AU - Piles, M.

AU - Entekhabi, D.

AU - Montzka, C.

AU - Seppanen, Jaakko

AU - Antropov, Oleg

AU - Praks, J.

AU - Löw, A.

PY - 2017/12/1

Y1 - 2017/12/1

N2 - Vegetation optical depth and scattering albedo are crucial parameters within the widely used τ-ω model for passive microwave remote sensing of vegetation and soil. A multi-sensor data integration approach using ICESat lidar vegetation heights and SMAP radar as well as radiometer data enables a direct retrieval of the two parameters on a physics-derived basis. The crucial step within the retrieval methodology is the calculus of the vegetation scattering coefficient KS, where one exact and three approximated solutions are provided. It is shown that, when using the assumption of a randomly oriented volume, the backscatter measurements of the radar provide a sufficient first order estimate and subsequently lead to effective estimates of vegetation optical depth and scattering albedo acquired with the novel multi-sensor approach.

AB - Vegetation optical depth and scattering albedo are crucial parameters within the widely used τ-ω model for passive microwave remote sensing of vegetation and soil. A multi-sensor data integration approach using ICESat lidar vegetation heights and SMAP radar as well as radiometer data enables a direct retrieval of the two parameters on a physics-derived basis. The crucial step within the retrieval methodology is the calculus of the vegetation scattering coefficient KS, where one exact and three approximated solutions are provided. It is shown that, when using the assumption of a randomly oriented volume, the backscatter measurements of the radar provide a sufficient first order estimate and subsequently lead to effective estimates of vegetation optical depth and scattering albedo acquired with the novel multi-sensor approach.

KW - ICESat

KW - Multi-sensor

KW - Scattering albedo

KW - SMAP

KW - Vegetation optical depth

UR - http://www.scopus.com/inward/record.url?scp=85041804547&partnerID=8YFLogxK

U2 - 10.1109/IGARSS.2017.8127958

DO - 10.1109/IGARSS.2017.8127958

M3 - Conference article in proceedings

AN - SCOPUS:85041804547

SN - 978-1-5090-4952-3

T3 - IEEE International Geoscience and Remote Sensing Symposium Proceedings

SP - 4322

EP - 4325

BT - 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017

Y2 - 23 July 2017 through 28 July 2017

ER -

Jagdhuber T, Baur M, Link M, Piles M, Entekhabi D, Montzka C et al. PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration. In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE Institute of Electrical and Electronic Engineers. 2017. p. 4322-4325. 8127958. (IEEE International Geoscience and Remote Sensing Symposium Proceedings, Vol. 37). doi: 10.1109/IGARSS.2017.8127958

PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this