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Journal of Applied Remote Sensing

Effects of changing rice cultural practices on C-band synthetic aperture radar backscatter using Envisat advanced synthetic aperture radar data in the Mekong River Delta
Author(s): Nguyen Lam-Dao; Thuy Le-Toan; Armando A. Apan; Alexandre Bouvet; Frank Young; Trung Le-Van
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Paper Abstract

Changes in rice cultivation systems have been observed in the Mekong River Delta, Vietnam. Among the changes in cultural practices, the change from transplanting to direct sowing, the use of water-saving technology, and the use of high production method could have impacts on radar remote sensing methods previously developed for rice monitoring. Using Envisat (Environmental Satellite) ASAR (Advanced Synthetic Aperture Radar) data over the province of An Giang, this study showed that the radar backscattering behaviour is much different from that of the reported traditional rice. At the early stage of the season, direct sowing on fields with rough and wet soil surface provides very high backscatter values for HH (Horizontal transmit - Horizontal receive polarisation) and VV (Vertical transmit - Vertical receive polarisation) data, as a contrast compared to the very low backscatter of fields covered with water before emergence. The temporal increase of the backscatter is therefore not observed clearly over direct sowing fields. Hence, the use of the intensity temporal change as a rice classifier proposed previously may not apply. Due to the drainage that occurs during the season, HH, VV and HH/VV are not strongly related to biomass, in contrast with past results. However, HH/VV ratio could be used to derive the rice/non-rice classification algorithm for all conditions of rice fields in the test province. The mapping results using the HH/VV polarization ratio at a single date in the middle period of the rice season were assessed using statistical data at different districts in the province, where very high accuracy was found. The method can be applied to other regions, provided that the synthetic aperture radar data are acquired during the peak period of the rice season, and that few training fields provide adjusted threshold values used in the method.

Paper Details

Date Published: 1 November 2009
PDF: 17 pages
J. Appl. Rem. Sens. 3(1) 033563 doi: 10.1117/1.3271046
Published in: Journal of Applied Remote Sensing Volume 3, Issue 1
Show Author Affiliations
Nguyen Lam-Dao, Univ. of Southern Queensland (Australia)
Thuy Le-Toan, Ctr. d'Etudes Spatiales de la Biosphère (France)
Armando A. Apan, Univ. of Southern Queensland (Australia)
Alexandre Bouvet, Ctr. d'Etudes Spatiales de la Biosphère (France)
Frank Young, Univ. of Southern Queensland (Australia)
Trung Le-Van, Ho Chi Minh City Univ. of Technology (Viet Nam)

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