DocumentCode
142467
Title
Working towards a global-scale vegetation water product from SMOS optical depth
Author
Grant, Jennifer ; Wigneron, Jean-Pierre ; Williams, Mathew ; Scholze, Marko ; Kerr, Yann
Author_Institution
Lund Univ., Lund, Sweden
fYear
2014
fDate
13-18 July 2014
Firstpage
286
Lastpage
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. This new vegetation water product is unique and offers important complementary information to existing vegetation indices.
Keywords
land cover; permittivity; terrain mapping; vegetation; vegetation mapping; ESA Soil Moisture and Ocean Salinity satellite mission; SMOS optical depth; continental regions; global vegetation classes; global-scale vegetation water product; gravimetric vegetation water content; landcover type; literature data; meteorological data; passive microwave frequencies; remote sensing data; seasonal differences; temporally dynamic global grids; vegetation dielectric constant model; vegetation indices; vegetation optical depth; Biomass; Biomedical optical imaging; Carbon; Integrated optics; Optical filters; Optical sensors; Vegetation mapping; SMOS; vegetation optical depth; vegetation water content;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location
Quebec City, QC
Type
conf
DOI
10.1109/IGARSS.2014.6946413
Filename
6946413
Link To Document