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Assessment of Paddy Rice Height: Sequential Inversion of Coherent and Incoherent Model

Yuzugullu, Onur; Erten, Esra and Hajnsek, Irena (2018). Assessment of Paddy Rice Height: Sequential Inversion of Coherent and Incoherent Model. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 11(9) pp. 3001–3013.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1109/JSTARS.2018.2844798
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Abstract

This paper investigates the evolution of canopy height of rice fields for a complete growth cycle. For this purpose, copolar interferometric Synthetic Aperture Radar (Pol-InSAR) time series data were acquired during the large across-track baseline (>1 km) science phase of the TanDEM-X mission. The height of rice canopies is estimated by three different model-based approaches. The first approach evaluates the inversion of the Random Volume over Ground (RVoG) model. The second approach evaluates the inversion of a metamodel-driven electromagnetic backscattering model by including a priori morphological information. The third approach combines the previous two processes. The validation analysis was carried out using the Pol-InSAR and ground measurement data acquired between May and September in 2015 over rice fields located in Ipsala district of Edirne, Turkey. The results of presented height estimation algorithms demonstrated the advantage of Pol-InSAR data. The combined RvoG model and EM metamodel height estimation approach provided rice canopy heights with errors less than 20 cm for the complete growth cycle.

Item Type: Journal Item
Copyright Holders: 2018 IEEE
ISSN: 1939-1404
Keywords: agriculture; copolar; height estimation; metamodel; polarimetry; polarimetric interferometry; synthetic aperture radar (SAR); stochastic approach
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Physical Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Space
Item ID: 56682
Depositing User: Esra Erten
Date Deposited: 25 Sep 2018 08:58
Last Modified: 17 Jun 2019 21:32
URI: http://oro.open.ac.uk/id/eprint/56682
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