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

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Standard

PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration. / Jagdhuber, T.; Baur, M.; Link, M.; Piles, M.; Entekhabi, D.; Montzka, C.; Seppänen, J.; Antropov, O.; Praks, J.; Löw, A.

Proceedings of 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. s. 4322-4325 8127958 (IEEE International Geoscience and Remote Sensing Symposium proceedings).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Harvard

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. julkaisussa Proceedings of 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)., 8127958, IEEE International Geoscience and Remote Sensing Symposium proceedings, IEEE, Sivut 4322-4325, Fort Worth, Yhdysvallat, 23/07/2017. https://doi.org/10.1109/IGARSS.2017.8127958

APA

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

Vancouver

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

Author

Jagdhuber, T. ; Baur, M. ; Link, M. ; Piles, M. ; Entekhabi, D. ; Montzka, C. ; Seppänen, J. ; Antropov, O. ; Praks, J. ; Löw, A. / PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration. Proceedings of 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. Sivut 4322-4325 (IEEE International Geoscience and Remote Sensing Symposium proceedings).

Bibtex - Lataa

@inproceedings{cef8937f5a3d463986308e9980da2f34,
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, 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",
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",

}

RIS - Lataa

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.

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 contribution

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

ER -

ID: 17189165