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
Link To Document :
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