DocumentCode
2213128
Title
Surface soil moisture evaluation by a multitemporal satellite approach
Author
Fontanelli, Katia ; Carlà, Roberto ; Fiorucci, Federica ; Santurri, Leonardo
Author_Institution
Inst. of Appl. Phys. “Nello Carrara”, Nat. Res. Council of Italy, Florence, Italy
fYear
2012
fDate
22-27 July 2012
Firstpage
686
Lastpage
689
Abstract
The Multitemporal Ts-VI (MTVI) method has been proposed as a modified extension of the well known Temperature-Vegetation Dryness Index (TVDI), taking advantage of the self-consistency of TVDI but at the same time trying to overcome its greatest constraint for better characterizing and monitoring surface soil moisture conditions over large and heterogeneous areas and so extending the operational applicability of the Ts-VI relationship. In order to test the performances of the MTVI method, a multitemporal sequence of Landsat TM-ETM+ images, acquired over a wide area in Umbria region (Italy), were selected and processed. The derived MTVI soil moisture maps reveal a better agreement with ground measurements recorded at rain gauge stations, both for a long- (the same month in different years) and a short-term (the same season in different dates) sequence of satellite imagery, than those obtained by the application of the standard Ts-VI method.
Keywords
geophysical image processing; geophysical techniques; soil; Italy; Landsat TM-ETM+ images; MTVI method; MTVI soil moisture maps; Ts-VI relationship; Umbria region; ground measurements; heterogeneous areas; multitemporal Ts-VI method; multitemporal satellite approach; multitemporal sequence; rain gauge stations; satellite imagery; standard Ts-VI method; surface soil moisture conditions; surface soil moisture evaluation; temperature-vegetation dryness index; Moisture; Remote sensing; Satellite broadcasting; Satellites; Soil; Surface soil; Vegetation mapping; MTVI method; Surface soil moisture; Ts-VI relationship; multitemporal Landsat sequence;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6351486
Filename
6351486
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