Working towards a global-scale vegetation water product from SMOS optical depth
(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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- author
- Grant, Jennifer LU ; Wigneron, Jean Pierre ; Williams, Mathew ; Scholze, Marko LU and Kerr, Yann
- organization
- publishing date
- 2014-01-01
- 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
- 2024-10-01 18:24:15
@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}}, keywords = {{SMOS; vegetation optical depth; vegetation water content}}, 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}}, }