Determining spatial and temporal patterns of submergence in rice with MODIS satellite data
Rice submergence is the condition by which the water level rises above the rice crop canopy. In general, rice plant response to submergence is to elongate its shoots above the rising water level. This costs in energy and eventually has a direct impact in terms of reducing yields. A specific gene, ca...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
2012
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/40155 |
| _version_ | 1855535567784116224 |
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| author | Chemin, Yann H. Phuphak, S. Asilo, S. Hijmans R.J. |
| author_browse | Asilo, S. Chemin, Yann H. Hijmans R.J. Phuphak, S. |
| author_facet | Chemin, Yann H. Phuphak, S. Asilo, S. Hijmans R.J. |
| author_sort | Chemin, Yann H. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Rice submergence is the condition by which the water level rises above the rice crop canopy. In general, rice plant response to submergence is to elongate its shoots above the rising water level. This costs in energy and eventually has a direct impact in terms of reducing yields. A specific gene, called Sub1, when introgressed into popular rice varieties by Marker Assisted Back-crossing, nearly stops the natural elongation process and permits a given local rice variety to sustain submerged conditions for a generally recognized period of about 2 weeks. Plant breeders now look for well-identified and location-accurate submergence areas in order to disseminate such improved local rice varieties. Remote sensing is proposed to provide surface water maps at high temporal resolution, determining a percentage of occurrences of surface water for a given pixel. Occurrence is defined as the count of days of identified surface water within a given period, returned in a percentage on that period. Rice area maps and knowledge of crop calendars are proposed to add to the assessment of submergence prone areas in two study areas, the Northeastern Thailand and Nueva Ecija in North Central Philippines. |
| format | Journal Article |
| id | CGSpace40155 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2012 |
| publishDateRange | 2012 |
| publishDateSort | 2012 |
| record_format | dspace |
| spelling | CGSpace401552025-11-12T05:10:57Z Determining spatial and temporal patterns of submergence in rice with MODIS satellite data Chemin, Yann H. Phuphak, S. Asilo, S. Hijmans R.J. rice crop management canopy remote sensing satellite surveys surface water flooding drought Rice submergence is the condition by which the water level rises above the rice crop canopy. In general, rice plant response to submergence is to elongate its shoots above the rising water level. This costs in energy and eventually has a direct impact in terms of reducing yields. A specific gene, called Sub1, when introgressed into popular rice varieties by Marker Assisted Back-crossing, nearly stops the natural elongation process and permits a given local rice variety to sustain submerged conditions for a generally recognized period of about 2 weeks. Plant breeders now look for well-identified and location-accurate submergence areas in order to disseminate such improved local rice varieties. Remote sensing is proposed to provide surface water maps at high temporal resolution, determining a percentage of occurrences of surface water for a given pixel. Occurrence is defined as the count of days of identified surface water within a given period, returned in a percentage on that period. Rice area maps and knowledge of crop calendars are proposed to add to the assessment of submergence prone areas in two study areas, the Northeastern Thailand and Nueva Ecija in North Central Philippines. 2012 2014-06-13T14:47:04Z 2014-06-13T14:47:04Z Journal Article https://hdl.handle.net/10568/40155 en Open Access application/pdf Chemin, Yann; Phuphak, S.; Asilo, S.; Hijmans, R. J. 2012. Determining spatial and temporal patterns of submergence in rice with MODIS satellite data. International Journal of Geoinformatics, 8(2):1-12. |
| spellingShingle | rice crop management canopy remote sensing satellite surveys surface water flooding drought Chemin, Yann H. Phuphak, S. Asilo, S. Hijmans R.J. Determining spatial and temporal patterns of submergence in rice with MODIS satellite data |
| title | Determining spatial and temporal patterns of submergence in rice with MODIS satellite data |
| title_full | Determining spatial and temporal patterns of submergence in rice with MODIS satellite data |
| title_fullStr | Determining spatial and temporal patterns of submergence in rice with MODIS satellite data |
| title_full_unstemmed | Determining spatial and temporal patterns of submergence in rice with MODIS satellite data |
| title_short | Determining spatial and temporal patterns of submergence in rice with MODIS satellite data |
| title_sort | determining spatial and temporal patterns of submergence in rice with modis satellite data |
| topic | rice crop management canopy remote sensing satellite surveys surface water flooding drought |
| url | https://hdl.handle.net/10568/40155 |
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