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

T. Jagdhuber; M. Baur; M. Link; M. Piles; D. Entekhabi; C. Montzka; J. Seppänen; O. 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

T. Jagdhuber
, M. Baur
, M. Link
, M. Piles
, D. Entekhabi
, C. Montzka
, J. Seppänen
, O. Antropov
, J. Praks
, A. Löw

German Aerospace Center
University of Bayreuth
Universitat de València
Massachusetts Institute of Technology
Jülich Research Centre
Ludwig Maximilian University of Munich

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 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.

Original language	English
Title of host publication	Proceedings of 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Publisher	IEEE
Pages	4322-4325
Number of pages	4
ISBN (Electronic)	978-1-5090-4951-6
ISBN (Print)	978-1-5090-4952-3
DOIs	https://doi.org/10.1109/IGARSS.2017.8127958
Publication status	Published - 2017
MoE publication type	A4 Conference publication
Event	IEEE International Geoscience and Remote Sensing Symposium - Fort Worth, United States Duration: 23 Jul 2017 → 28 Jul 2017 Conference number: 37 http://www.igarss2017.org

Publication series

Name	IEEE International Geoscience and Remote Sensing Symposium proceedings
ISSN (Electronic)	2153-7003

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium
Abbreviated title	IGARSS
Country/Territory	United States
City	Fort Worth
Period	23/07/2017 → 28/07/2017
Internet address	http://www.igarss2017.org

Keywords

albedo
backscatter
optical radar
radiometry
remote sensing by laser beam
remote sensing by radar
sensor fusion
soil
vegetation
vegetation mapping
τ-ω model
ICESat lidar vegetation heights
crucial parameters
multisensor data integration approach
novel multisensor approach
passive microwave remote sensing
radiometer data
retrieval methodology
scattering albedo
vegetation optical depth
vegetation scattering coefficient
Indexes
Remote sensing
ICESat
SMAP
multi-sensor

Access to Document

10.1109/IGARSS.2017.8127958

Cite this

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

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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 = "albedo, backscatter, optical radar, radiometry, remote sensing by laser beam, remote sensing by radar, sensor fusion, soil, vegetation, vegetation mapping, \&\#x03C4;-\&\#x03C9; model, ICESat lidar vegetation heights, crucial parameters, multisensor data integration approach, novel multisensor approach, passive microwave remote sensing, radiometer data, retrieval methodology, scattering albedo, vegetation optical depth, vegetation scattering coefficient, Indexes, Remote sensing, ICESat, SMAP, multi-sensor",

author = "T. Jagdhuber and M. Baur and M. Link and M. Piles and D. Entekhabi and C. Montzka and J. Sepp{\"a}nen and O. Antropov and J. Praks and A. L{\"o}w",

year = "2017",

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",

pages = "4322--4325",

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

address = "United States",

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

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

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

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, T.

AU - Baur, M.

AU - Link, M.

AU - Piles, M.

AU - Entekhabi, D.

AU - Montzka, C.

AU - Seppänen, J.

AU - Antropov, O.

AU - Praks, J.

AU - Löw, A.

N1 - Conference code: 37

PY - 2017

Y1 - 2017

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 - albedo

KW - backscatter

KW - optical radar

KW - radiometry

KW - remote sensing by laser beam

KW - remote sensing by radar

KW - sensor fusion

KW - soil

KW - vegetation

KW - vegetation mapping

KW - τ-ω model

KW - ICESat lidar vegetation heights

KW - crucial parameters

KW - multisensor data integration approach

KW - novel multisensor approach

KW - passive microwave remote sensing

KW - radiometer data

KW - retrieval methodology

KW - scattering albedo

KW - vegetation optical depth

KW - vegetation scattering coefficient

KW - Indexes

KW - Remote sensing

KW - ICESat

KW - SMAP

KW - multi-sensor

U2 - 10.1109/IGARSS.2017.8127958

DO - 10.1109/IGARSS.2017.8127958

M3 - Conference article in proceedings

SN - 978-1-5090-4952-3

T3 - IEEE International Geoscience and Remote Sensing Symposium proceedings

SP - 4322

EP - 4325

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

PB - IEEE

T2 - IEEE International Geoscience and Remote Sensing Symposium

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 Proceedings of 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE. 2017. p. 4322-4325. 8127958. (IEEE International Geoscience and Remote Sensing Symposium proceedings). doi: 10.1109/IGARSS.2017.8127958

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

Abstract

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Keywords

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