Event detection of hydrological processes with passive L-band data from SMOS

Ahmad Al Bitar; Elsa Jacquette; Yann Kerr; Arnaud Mialon; Francois Cabot; Arnaud Quesney; Olivier Merlin; Philippe Richaume

doi:10.1117/12.865074

22 October 2010 Event detection of hydrological processes with passive L-band data from SMOS

Ahmad Al Bitar, Elsa Jacquette, Yann Kerr, Arnaud Mialon, Francois Cabot, Arnaud Quesney, Olivier Merlin, Philippe Richaume

Author Affiliations +

Proceedings Volume 7824, Remote Sensing for Agriculture, Ecosystems, and Hydrology XII; 78240J (2010) https://doi.org/10.1117/12.865074
Event: SPIE Remote Sensing, 2010, Toulouse, France

Abstract

Since it's launch, the ESA's Soil Moisture and Ocean Salinity (SMOS) satellite, is delivering new data from its LBand 1.4Ghz 2D interferometer [1]. The observations from SMOS are used to retrieve soil moisture in the first centimeters and ocean salinity at the surface of the water. The observations are multi-angular with a 3 days maximum revisit time. The spatial resolution of SMOS data is 40km. In this paper we present on event detection algorithm implemented at CATDS (Centre Aval de Traitement des Données SMOS) the CNES level 3 and level 4 SMOS enter. This algorithm is a three stage change detection algorithm. At stage one the possibility/probability of occurrence of the event is evaluated. This is done via spatiotemporal constraints maps. These maps are obtained from the analysis of NSIDC's freezing index products over the last century. Climate data from ancillary files are tested will taking into consideration the uncertainty of the data. Some selected retrieved variables are also tested. At stage two a time series analysis is applied. In the current version of the algorithm a direct change detection algorithm is used. The tests make use of available variables of polarization index, retrieved soil moisture...Finally at stage three a simple fuzzy logic approach is used to decide if the event occurred. This approaches takes into consideration the separation time of the data. Ascending and descending orbits are taken into consideration. In this study freezing detection is presented over central CONUS. The temporal and angular signature of SMOS will be presented. Comparison is done with the SCAN network

Citation Download Citation

Ahmad Al Bitar, Elsa Jacquette, Yann Kerr, Arnaud Mialon, Francois Cabot, Arnaud Quesney, Olivier Merlin, and Philippe Richaume "Event detection of hydrological processes with passive L-band data from SMOS", Proc. SPIE 7824, Remote Sensing for Agriculture, Ecosystems, and Hydrology XII, 78240J (22 October 2010); https://doi.org/10.1117/12.865074

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available