Synthetic Aperture Radar (SAR)-based paddy rice monitoring system: Development and application in key rice producing areas in Tropical Asia
Reliable and regular rice information is essential part of many countries' national accounting process but the existing system may not be sufficient to meet the information demand in the context of food security and policy. Synthetic Aperture Radar (SAR) imagery is highly suitable for detecting lowl...
| Main Authors: | , , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
IOP Publishing
2017
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| Online Access: | https://hdl.handle.net/10568/165098 |
| _version_ | 1855532689796366336 |
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| author | Setiyono, T.D. Holecz, F. Khan, N.I. Barbieri, M. Quicho, E. Collivignarelli, F. Maunahan, A. Gatti, L. Romuga, G.C. |
| author_browse | Barbieri, M. Collivignarelli, F. Gatti, L. Holecz, F. Khan, N.I. Maunahan, A. Quicho, E. Romuga, G.C. Setiyono, T.D. |
| author_facet | Setiyono, T.D. Holecz, F. Khan, N.I. Barbieri, M. Quicho, E. Collivignarelli, F. Maunahan, A. Gatti, L. Romuga, G.C. |
| author_sort | Setiyono, T.D. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Reliable and regular rice information is essential part of many countries' national accounting process but the existing system may not be sufficient to meet the information demand in the context of food security and policy. Synthetic Aperture Radar (SAR) imagery is highly suitable for detecting lowland paddy rice, especially in tropical region where pervasive cloud cover in the rainy seasons limits the use of optical imagery. This study uses multi-temporal X-band and C-band SAR imagery, automated image processing, rule-based classification and field observations to classify rice in multiple locations across Tropical Asia and assimilate the information into ORYZA Crop Growth Simulation model (CGSM) to generate high resolution yield maps. The resulting cultivated rice area maps had classification accuracies above 85% and yield estimates were within 81-93% agreement against district level reported yields. The study sites capture much of the diversity in water management, crop establishment and rice maturity durations and the study demonstrates the feasibility of rice detection, yield monitoring, and damage assessment in case of climate disaster at national and supra-national scales using multi-temporal SAR imagery combined with CGSM and automated methods. |
| format | Journal Article |
| id | CGSpace165098 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | IOP Publishing |
| publisherStr | IOP Publishing |
| record_format | dspace |
| spelling | CGSpace1650982025-05-14T10:24:19Z Synthetic Aperture Radar (SAR)-based paddy rice monitoring system: Development and application in key rice producing areas in Tropical Asia Setiyono, T.D. Holecz, F. Khan, N.I. Barbieri, M. Quicho, E. Collivignarelli, F. Maunahan, A. Gatti, L. Romuga, G.C. Reliable and regular rice information is essential part of many countries' national accounting process but the existing system may not be sufficient to meet the information demand in the context of food security and policy. Synthetic Aperture Radar (SAR) imagery is highly suitable for detecting lowland paddy rice, especially in tropical region where pervasive cloud cover in the rainy seasons limits the use of optical imagery. This study uses multi-temporal X-band and C-band SAR imagery, automated image processing, rule-based classification and field observations to classify rice in multiple locations across Tropical Asia and assimilate the information into ORYZA Crop Growth Simulation model (CGSM) to generate high resolution yield maps. The resulting cultivated rice area maps had classification accuracies above 85% and yield estimates were within 81-93% agreement against district level reported yields. The study sites capture much of the diversity in water management, crop establishment and rice maturity durations and the study demonstrates the feasibility of rice detection, yield monitoring, and damage assessment in case of climate disaster at national and supra-national scales using multi-temporal SAR imagery combined with CGSM and automated methods. 2017-01 2024-12-19T12:54:42Z 2024-12-19T12:54:42Z Journal Article https://hdl.handle.net/10568/165098 en Open Access IOP Publishing Setiyono, T D; Holecz, F; Khan, N I; Barbieri, M; Quicho, E; Collivignarelli, F; Maunahan, A; Gatti, L and Romuga, G C. 2017. Synthetic Aperture Radar (SAR)-based paddy rice monitoring system: Development and application in key rice producing areas in Tropical Asia. IOP Conf. Ser.: Earth Environ. Sci., Volume 54 p. 012015 |
| spellingShingle | Setiyono, T.D. Holecz, F. Khan, N.I. Barbieri, M. Quicho, E. Collivignarelli, F. Maunahan, A. Gatti, L. Romuga, G.C. Synthetic Aperture Radar (SAR)-based paddy rice monitoring system: Development and application in key rice producing areas in Tropical Asia |
| title | Synthetic Aperture Radar (SAR)-based paddy rice monitoring system: Development and application in key rice producing areas in Tropical Asia |
| title_full | Synthetic Aperture Radar (SAR)-based paddy rice monitoring system: Development and application in key rice producing areas in Tropical Asia |
| title_fullStr | Synthetic Aperture Radar (SAR)-based paddy rice monitoring system: Development and application in key rice producing areas in Tropical Asia |
| title_full_unstemmed | Synthetic Aperture Radar (SAR)-based paddy rice monitoring system: Development and application in key rice producing areas in Tropical Asia |
| title_short | Synthetic Aperture Radar (SAR)-based paddy rice monitoring system: Development and application in key rice producing areas in Tropical Asia |
| title_sort | synthetic aperture radar sar based paddy rice monitoring system development and application in key rice producing areas in tropical asia |
| url | https://hdl.handle.net/10568/165098 |
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