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

Grant, Jennifer LU ; Wigneron, Jean Pierre ; Williams, Mathew ; Scholze, Marko LU and Kerr, Yann (2014) Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 p.286-289
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.... (More)

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.

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Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
SMOS, vegetation optical depth, vegetation water content
host publication
International Geoscience and Remote Sensing Symposium (IGARSS)
article number
6946413
pages
4 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
conference location
Quebec City, Canada
conference dates
2014-07-13 - 2014-07-18
external identifiers
  • scopus:84911383293
ISBN
9781479957750
DOI
10.1109/IGARSS.2014.6946413
language
English
LU publication?
yes
id
47f05e42-57ae-4bf0-8a78-e4b4f6d3afc7
date added to LUP
2019-03-14 21:14:26
date last changed
2021-12-02 08:41:12
@inproceedings{47f05e42-57ae-4bf0-8a78-e4b4f6d3afc7,
  abstract     = {<p>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<sub>g</sub>). 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<sub>g</sub>. 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.</p>},
  author       = {Grant, Jennifer and Wigneron, Jean Pierre and Williams, Mathew and Scholze, Marko and Kerr, Yann},
  booktitle    = {International Geoscience and Remote Sensing Symposium (IGARSS)},
  isbn         = {9781479957750},
  language     = {eng},
  month        = {01},
  pages        = {286--289},
  publisher    = {IEEE - Institute of Electrical and Electronics Engineers Inc.},
  title        = {Working towards a global-scale vegetation water product from SMOS optical depth},
  url          = {http://dx.doi.org/10.1109/IGARSS.2014.6946413},
  doi          = {10.1109/IGARSS.2014.6946413},
  year         = {2014},
}