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Mapping of Rice Varieties and Sowing Date Using X-Band SAR Data

Rice is a major staple food for nearly half of the world’s population and has a considerable contribution to the global agricultural economy. While spaceborne Synthetic Aperture Radar (SAR) data have proved to have great potential to provide rice cultivation area, few studies have been performed to...

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Autores principales: Phan, Hoa, Le Toan, Thuy, Bouvet, Alexandre, Nguyen, Lam Dao, Pham Duy, Tien, Zribi, Mehrez
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795876/
https://www.ncbi.nlm.nih.gov/pubmed/29361776
http://dx.doi.org/10.3390/s18010316
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author Phan, Hoa
Le Toan, Thuy
Bouvet, Alexandre
Nguyen, Lam Dao
Pham Duy, Tien
Zribi, Mehrez
author_facet Phan, Hoa
Le Toan, Thuy
Bouvet, Alexandre
Nguyen, Lam Dao
Pham Duy, Tien
Zribi, Mehrez
author_sort Phan, Hoa
collection PubMed
description Rice is a major staple food for nearly half of the world’s population and has a considerable contribution to the global agricultural economy. While spaceborne Synthetic Aperture Radar (SAR) data have proved to have great potential to provide rice cultivation area, few studies have been performed to provide practical information that meets the user requirements. In rice growing regions where the inter-field crop calendar is not uniform such as in the Mekong Delta in Vietnam, knowledge of the start of season on a field basis, along with the planted rice varieties, is very important for correct field management (timing of irrigation, fertilization, chemical treatment, harvest), and for market assessment of the rice production. The objective of this study is to develop methods using SAR data to retrieve in addition to the rice grown area, the sowing date, and the distinction between long and short cycle varieties. This study makes use of X-band SAR data from COSMO-SkyMed acquired from 19 August to 23 November 2013 covering the Chau Thanh and Thoai Son districts in An Giang province, Viet Nam, characterized by a complex cropping pattern. The SAR data have been analyzed as a function of rice parameters, and the temporal and polarization behaviors of the radar backscatter of different rice varieties have been interpreted physically. New backscatter indicators for the detection of rice paddy area, the estimation of the sowing date, and the mapping of the short cycle and long cycle rice varieties have been developed and assessed. Good accuracy has been found with 92% in rice grown area, 96% on rice long or short cycle, and a root mean square error of 4.3 days in sowing date. The results have been discussed regarding the generality of the methods with respect to the rice cultural practices and the SAR data characteristics.
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spelling pubmed-57958762018-02-13 Mapping of Rice Varieties and Sowing Date Using X-Band SAR Data Phan, Hoa Le Toan, Thuy Bouvet, Alexandre Nguyen, Lam Dao Pham Duy, Tien Zribi, Mehrez Sensors (Basel) Article Rice is a major staple food for nearly half of the world’s population and has a considerable contribution to the global agricultural economy. While spaceborne Synthetic Aperture Radar (SAR) data have proved to have great potential to provide rice cultivation area, few studies have been performed to provide practical information that meets the user requirements. In rice growing regions where the inter-field crop calendar is not uniform such as in the Mekong Delta in Vietnam, knowledge of the start of season on a field basis, along with the planted rice varieties, is very important for correct field management (timing of irrigation, fertilization, chemical treatment, harvest), and for market assessment of the rice production. The objective of this study is to develop methods using SAR data to retrieve in addition to the rice grown area, the sowing date, and the distinction between long and short cycle varieties. This study makes use of X-band SAR data from COSMO-SkyMed acquired from 19 August to 23 November 2013 covering the Chau Thanh and Thoai Son districts in An Giang province, Viet Nam, characterized by a complex cropping pattern. The SAR data have been analyzed as a function of rice parameters, and the temporal and polarization behaviors of the radar backscatter of different rice varieties have been interpreted physically. New backscatter indicators for the detection of rice paddy area, the estimation of the sowing date, and the mapping of the short cycle and long cycle rice varieties have been developed and assessed. Good accuracy has been found with 92% in rice grown area, 96% on rice long or short cycle, and a root mean square error of 4.3 days in sowing date. The results have been discussed regarding the generality of the methods with respect to the rice cultural practices and the SAR data characteristics. MDPI 2018-01-22 /pmc/articles/PMC5795876/ /pubmed/29361776 http://dx.doi.org/10.3390/s18010316 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Phan, Hoa
Le Toan, Thuy
Bouvet, Alexandre
Nguyen, Lam Dao
Pham Duy, Tien
Zribi, Mehrez
Mapping of Rice Varieties and Sowing Date Using X-Band SAR Data
title Mapping of Rice Varieties and Sowing Date Using X-Band SAR Data
title_full Mapping of Rice Varieties and Sowing Date Using X-Band SAR Data
title_fullStr Mapping of Rice Varieties and Sowing Date Using X-Band SAR Data
title_full_unstemmed Mapping of Rice Varieties and Sowing Date Using X-Band SAR Data
title_short Mapping of Rice Varieties and Sowing Date Using X-Band SAR Data
title_sort mapping of rice varieties and sowing date using x-band sar data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795876/
https://www.ncbi.nlm.nih.gov/pubmed/29361776
http://dx.doi.org/10.3390/s18010316
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