RICA: A rice crop calendar for Asia based on MODIS multi year data
Information on when and where rice is planted and harvested is important for crop management under a changing climate and for monitoring crop production for early warning and market information systems. The diversity of plant genetic, crop management, and environmental conditions leads to a wide var...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/164153 |
| _version_ | 1855539261008248832 |
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| author | Mishra, Bhogendra Busetto, Lorenzo Boschetti, Mirco Laborte, Alice Nelson, Andrew |
| author_browse | Boschetti, Mirco Busetto, Lorenzo Laborte, Alice Mishra, Bhogendra Nelson, Andrew |
| author_facet | Mishra, Bhogendra Busetto, Lorenzo Boschetti, Mirco Laborte, Alice Nelson, Andrew |
| author_sort | Mishra, Bhogendra |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Information on when and where rice is planted and harvested is important for crop management under a changing climate and for monitoring crop production for early warning and market information systems. The diversity of plant genetic, crop management, and environmental conditions leads to a wide variation in the number of rice crops per year and the dates of crop establishment and harvesting across Asia. Asia-wide rice crop calendars exist (e.g., RiceAtlas) but are based on heterogeneous data sources with varying levels of detail and are challenging to update. Earth observations can contribute to consistent and replicable crop calendars. Here we demonstrate and validate a method for generating a rice crop calendar across Asia. Our analysis at administrative unit-level is based on pixel-level analysis with the PhenoRice algorithm using MODIS imagery (2003–16) to estimate start of season (SoS) and end of season (EoS) dates. PhenoRice outputs were post-processed to generate representative statistics on the number of rice crop seasons per year and their SoS/EoS dates per administrative unit across Asia, called RICA (a RIce crop Calendar for Asia). RICA SoS and EoS dates across all seasons correlated strongly with RiceAtlas crop establishment and harvesting dates (R2 of 0.88 and 0.82 respectively, n = 1,186). The mean absolute errors were around 26 and 33 days for SoS and EoS, respectively. A detailed assessment in the Philippines where data in RiceAtlas are particularly accurate had even better results (R2 of 0.93 and 0.85 respectively, n = 131). Comparisons to other published rice calendars also suggested that RICA captured rice cropping season dates well. Our study results in a unique and validated method to estimate rice crop calendar information on continental scale from remote sensing data |
| format | Journal Article |
| id | CGSpace164153 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1641532024-12-20T06:19:39Z RICA: A rice crop calendar for Asia based on MODIS multi year data Mishra, Bhogendra Busetto, Lorenzo Boschetti, Mirco Laborte, Alice Nelson, Andrew management monitoring policy and law computers in earth sciences earth-surface processes global and planetary change Information on when and where rice is planted and harvested is important for crop management under a changing climate and for monitoring crop production for early warning and market information systems. The diversity of plant genetic, crop management, and environmental conditions leads to a wide variation in the number of rice crops per year and the dates of crop establishment and harvesting across Asia. Asia-wide rice crop calendars exist (e.g., RiceAtlas) but are based on heterogeneous data sources with varying levels of detail and are challenging to update. Earth observations can contribute to consistent and replicable crop calendars. Here we demonstrate and validate a method for generating a rice crop calendar across Asia. Our analysis at administrative unit-level is based on pixel-level analysis with the PhenoRice algorithm using MODIS imagery (2003–16) to estimate start of season (SoS) and end of season (EoS) dates. PhenoRice outputs were post-processed to generate representative statistics on the number of rice crop seasons per year and their SoS/EoS dates per administrative unit across Asia, called RICA (a RIce crop Calendar for Asia). RICA SoS and EoS dates across all seasons correlated strongly with RiceAtlas crop establishment and harvesting dates (R2 of 0.88 and 0.82 respectively, n = 1,186). The mean absolute errors were around 26 and 33 days for SoS and EoS, respectively. A detailed assessment in the Philippines where data in RiceAtlas are particularly accurate had even better results (R2 of 0.93 and 0.85 respectively, n = 131). Comparisons to other published rice calendars also suggested that RICA captured rice cropping season dates well. Our study results in a unique and validated method to estimate rice crop calendar information on continental scale from remote sensing data 2021-12 2024-12-19T12:53:31Z 2024-12-19T12:53:31Z Journal Article https://hdl.handle.net/10568/164153 en Open Access Elsevier Mishra, Bhogendra; Busetto, Lorenzo; Boschetti, Mirco; Laborte, Alice and Nelson, Andrew. 2021. RICA: A rice crop calendar for Asia based on MODIS multi year data. International Journal of Applied Earth Observation and Geoinformation, Volume 103 p. 102471 |
| spellingShingle | management monitoring policy and law computers in earth sciences earth-surface processes global and planetary change Mishra, Bhogendra Busetto, Lorenzo Boschetti, Mirco Laborte, Alice Nelson, Andrew RICA: A rice crop calendar for Asia based on MODIS multi year data |
| title | RICA: A rice crop calendar for Asia based on MODIS multi year data |
| title_full | RICA: A rice crop calendar for Asia based on MODIS multi year data |
| title_fullStr | RICA: A rice crop calendar for Asia based on MODIS multi year data |
| title_full_unstemmed | RICA: A rice crop calendar for Asia based on MODIS multi year data |
| title_short | RICA: A rice crop calendar for Asia based on MODIS multi year data |
| title_sort | rica a rice crop calendar for asia based on modis multi year data |
| topic | management monitoring policy and law computers in earth sciences earth-surface processes global and planetary change |
| url | https://hdl.handle.net/10568/164153 |
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