Working towards a global-scale vegetation water product from SMOS optical depth

Jennifer Grant; Jean Pierre Wigneron; Mathew Williams; Marko Scholze; Yann Kerr

doi:10.1109/IGARSS.2014.6946413

Working towards a global-scale vegetation water product from SMOS optical depth

Jennifer Grant, Jean Pierre Wigneron, Mathew Williams, Marko Scholze, Yann Kerr

Dept of Physical Geography and Ecosystem Science

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Abstract

In this study, vegetation optical depth from ESA's Soil Moisture and Ocean Salinity (SMOS) satellite mission is combined with other existing remote sensing, meteorological and literature data in order to obtain values of gravimetric vegetation water content (M_g). The methodology combines an effective medium model valid at passive microwave frequencies with a vegetation dielectric constant model. The algorithm is calibrated for 11 global vegetation classes. The resulting product consists of temporally dynamic ∼25 km global grids of M_g. The first maps clearly show seasonal differences in vegetation water, which vary for the different continental regions due to variations in e.g. latitude, climate and landcover type. This new vegetation water product is unique and offers important complementary information to existing vegetation indices.

Original language	English
Title of host publication	International Geoscience and Remote Sensing Symposium (IGARSS)
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Pages	286-289
Number of pages	4
ISBN (Electronic)	9781479957750
DOIs	https://doi.org/10.1109/IGARSS.2014.6946413
Publication status	Published - 2014 Jan 1
Event	Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 - Quebec City, Canada Duration: 2014 Jul 13 → 2014 Jul 18

Conference

Conference	Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
Country/Territory	Canada
City	Quebec City
Period	2014/07/13 → 2014/07/18

Subject classification (UKÄ)

Meteorology and Atmospheric Sciences
Climate Research

Free keywords

SMOS
vegetation optical depth
vegetation water content

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/IGARSS.2014.6946413

Cite this

@inproceedings{47f05e4257ae4bf08a78e4b4f6d3afc7,

title = "Working towards a global-scale vegetation water product from SMOS optical depth",

abstract = "In this study, vegetation optical depth from ESA's Soil Moisture and Ocean Salinity (SMOS) satellite mission is combined with other existing remote sensing, meteorological and literature data in order to obtain values of gravimetric vegetation water content (Mg). The methodology combines an effective medium model valid at passive microwave frequencies with a vegetation dielectric constant model. The algorithm is calibrated for 11 global vegetation classes. The resulting product consists of temporally dynamic ∼25 km global grids of Mg. The first maps clearly show seasonal differences in vegetation water, which vary for the different continental regions due to variations in e.g. latitude, climate and landcover type. This new vegetation water product is unique and offers important complementary information to existing vegetation indices.",

keywords = "SMOS, vegetation optical depth, vegetation water content",

author = "Jennifer Grant and Wigneron, {Jean Pierre} and Mathew Williams and Marko Scholze and Yann Kerr",

year = "2014",

month = jan,

day = "1",

doi = "10.1109/IGARSS.2014.6946413",

language = "English",

pages = "286--289",

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

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 ; Conference date: 13-07-2014 Through 18-07-2014",

}

Grant, J, Wigneron, JP, Williams, M, Scholze, M & Kerr, Y 2014, Working towards a global-scale vegetation water product from SMOS optical depth. in International Geoscience and Remote Sensing Symposium (IGARSS)., 6946413, IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 286-289, Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014, Quebec City, Canada, 2014/07/13. https://doi.org/10.1109/IGARSS.2014.6946413

Working towards a global-scale vegetation water product from SMOS optical depth. / Grant, Jennifer; Wigneron, Jean Pierre; Williams, Mathew et al.
International Geoscience and Remote Sensing Symposium (IGARSS). IEEE - Institute of Electrical and Electronics Engineers Inc., 2014. p. 286-289 6946413.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Working towards a global-scale vegetation water product from SMOS optical depth

AU - Grant, Jennifer

AU - Wigneron, Jean Pierre

AU - Williams, Mathew

AU - Scholze, Marko

AU - Kerr, Yann

PY - 2014/1/1

Y1 - 2014/1/1

N2 - In this study, vegetation optical depth from ESA's Soil Moisture and Ocean Salinity (SMOS) satellite mission is combined with other existing remote sensing, meteorological and literature data in order to obtain values of gravimetric vegetation water content (Mg). The methodology combines an effective medium model valid at passive microwave frequencies with a vegetation dielectric constant model. The algorithm is calibrated for 11 global vegetation classes. The resulting product consists of temporally dynamic ∼25 km global grids of Mg. The first maps clearly show seasonal differences in vegetation water, which vary for the different continental regions due to variations in e.g. latitude, climate and landcover type. This new vegetation water product is unique and offers important complementary information to existing vegetation indices.

AB - In this study, vegetation optical depth from ESA's Soil Moisture and Ocean Salinity (SMOS) satellite mission is combined with other existing remote sensing, meteorological and literature data in order to obtain values of gravimetric vegetation water content (Mg). The methodology combines an effective medium model valid at passive microwave frequencies with a vegetation dielectric constant model. The algorithm is calibrated for 11 global vegetation classes. The resulting product consists of temporally dynamic ∼25 km global grids of Mg. The first maps clearly show seasonal differences in vegetation water, which vary for the different continental regions due to variations in e.g. latitude, climate and landcover type. This new vegetation water product is unique and offers important complementary information to existing vegetation indices.

KW - SMOS

KW - vegetation optical depth

KW - vegetation water content

U2 - 10.1109/IGARSS.2014.6946413

DO - 10.1109/IGARSS.2014.6946413

M3 - Paper in conference proceeding

AN - SCOPUS:84911383293

SP - 286

EP - 289

BT - International Geoscience and Remote Sensing Symposium (IGARSS)

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014

Y2 - 13 July 2014 through 18 July 2014

ER -

Working towards a global-scale vegetation water product from SMOS optical depth

Abstract

Conference

Subject classification (UKÄ)

Free keywords

UN SDGs

Access to Document

Fingerprint

Cite this