DocumentCode :
86693
Title :
Estimation of Key Dates and Stages in Rice Crops Using Dual-Polarization SAR Time Series and a Particle Filtering Approach
Author :
De Bernardis, Caleb G. ; Vicente-Guijalba, Fernando ; Martinez-Marin, Tomas ; Lopez-Sanchez, Juan M.
Author_Institution :
Inst. for Comput. Res., Univ. of Alicante, Alicante, Spain
Volume :
8
Issue :
3
fYear :
2015
fDate :
Mar-15
Firstpage :
1008
Lastpage :
1018
Abstract :
Information of crop phenology is essential for evaluating crop productivity. In a previous work, we determined phenological stages with remote sensing data using a dynamic system framework and an extended Kalman filter (EKF) approach. In this paper, we demonstrate that the particle filter is a more reliable method to infer any phenological stage compared to the EKF. The improvements achieved with this approach are discussed. In addition, this methodology enables the estimation of key cultivation dates, thus providing a practical product for many applications. The dates of some important stages, as the sowing date and the day when the crop reaches the panicle initiation stage, have been chosen to show the potential of this technique.
Keywords :
geophysical techniques; remote sensing by radar; synthetic aperture radar; vegetation; crop phenology information; crop productivity; dual-polarization SAR time series; dynamic system framework; extended Kalman filter approach; key date estimation; particle filtering approach; phenological stage; remote sensing data; rice crops; Agriculture; Estimation; Predictive models; Probability density function; Remote sensing; Synthetic aperture radar; Vectors; Agriculture; multitemporal; particle filter; phenology; polarimetry; rice; synthetic aperture radar (SAR);
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2014.2372898
Filename :
6981926
Link To Document :
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