Crop Phenology Estimation Using a Multitemporal Model and a Kalman Filtering Strategy

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Title: Crop Phenology Estimation Using a Multitemporal Model and a Kalman Filtering Strategy
Authors: Vicente-Guijalba, Fernando | Martínez Marín, Tomás | Lopez-Sanchez, Juan M.
Research Group/s: Señales, Sistemas y Telecomunicación
Center, Department or Service: Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal | Universidad de Alicante. Instituto Universitario de Investigación Informática
Keywords: Agriculture | Kalman filter | Multitemporal | Phenology | Polarimetry | Rice | Synthetic aperture radar (SAR)
Knowledge Area: Teoría de la Señal y Comunicaciones
Issue Date: Jun-2014
Publisher: IEEE
Citation: IEEE Geoscience and Remote Sensing Letters. 2014, 11(6): 1081-1085. doi:10.1109/LGRS.2013.2286214
Abstract: In this letter, a new approach for crop phenology estimation with remote sensing is presented. The proposed methodology is aimed to exploit tools from a dynamical system context. From a temporal sequence of images, a geometrical model is derived, which allows us to translate this temporal domain into the estimation problem. The evolution model in state space is obtained through dimensional reduction by a principal component analysis, defining the state variables, of the observations. Then, estimation is achieved by combining the generated model with actual samples in an optimal way using a Kalman filter. As a proof of concept, an example with results obtained with this approach over rice fields by exploiting stacks of TerraSAR-X dual polarization images is shown.
Sponsor: This project was supported in part by the Spanish Ministry of Economy and Competitiveness (MINECO) and in part by EU FEDER under Project TEC2011-28201-C02-02.
ISSN: 1545-598X (Print) | 1558-0571 (Online)
DOI: 10.1109/LGRS.2013.2286214
Language: eng
Type: info:eu-repo/semantics/article
Rights: © Copyright 2014 IEEE
Peer Review: si
Publisher version:
Appears in Collections:INV - SST - Artículos de Revistas

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