Quantifying Production Losses due to Drought and Submergence of Rainfed Rice at the households level Using Remotely Sensed MODIS data
Combining remotely sensed Moderate Resolution Imaging Spectroradiometer (MODIS) data with Bangladesh Household Income and Expenditure Survey (HIES) data, this study estimates losses in rainfed rice production at the household level. In particular, we estimated the rice areas affected by drought and...
| Autores principales: | , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2015
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/76716 |
| _version_ | 1855516249845399552 |
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| author | Mottaleb, K.A. Gumma, Murali K. Mishra, A.K. Mohanty, Samarendu |
| author_browse | Gumma, Murali K. Mishra, A.K. Mohanty, Samarendu Mottaleb, K.A. |
| author_facet | Mottaleb, K.A. Gumma, Murali K. Mishra, A.K. Mohanty, Samarendu |
| author_sort | Mottaleb, K.A. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Combining remotely sensed Moderate Resolution Imaging Spectroradiometer (MODIS) data with Bangladesh Household Income and Expenditure Survey (HIES) data, this study estimates losses in rainfed rice production at the household level. In particular, we estimated the rice areas affected by drought and submergence from remotely sensed MODIS data and rice production from Household Income and Expenditure Survey (HIES) data for 2000, 2005 and 2010. Applying two limit Tobit estimation method, this study demonstrated that both drought and submergence significantly affected rice production. Findings reveal that on average, a one percent increase in drought affected area at district level reduces Aman season rice production by approximately 1382 kilograms per household on average, annually. Similarly, a one percent increase in drought area reduces rainfed Aus season rice production by approximately 693 kilograms per household, on average, annually. Based on the findings the paper suggests disseminating and developing drought and submergence tolerant rice and also short duration rice varieties to minimize loss caused by drought and submergence in Aus and Aman rice seasons. |
| format | Journal Article |
| id | CGSpace76716 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace767162024-06-26T10:18:04Z Quantifying Production Losses due to Drought and Submergence of Rainfed Rice at the households level Using Remotely Sensed MODIS data Mottaleb, K.A. Gumma, Murali K. Mishra, A.K. Mohanty, Samarendu rainfed rice farm household drought submergence remote sensing modis data Combining remotely sensed Moderate Resolution Imaging Spectroradiometer (MODIS) data with Bangladesh Household Income and Expenditure Survey (HIES) data, this study estimates losses in rainfed rice production at the household level. In particular, we estimated the rice areas affected by drought and submergence from remotely sensed MODIS data and rice production from Household Income and Expenditure Survey (HIES) data for 2000, 2005 and 2010. Applying two limit Tobit estimation method, this study demonstrated that both drought and submergence significantly affected rice production. Findings reveal that on average, a one percent increase in drought affected area at district level reduces Aman season rice production by approximately 1382 kilograms per household on average, annually. Similarly, a one percent increase in drought area reduces rainfed Aus season rice production by approximately 693 kilograms per household, on average, annually. Based on the findings the paper suggests disseminating and developing drought and submergence tolerant rice and also short duration rice varieties to minimize loss caused by drought and submergence in Aus and Aman rice seasons. 2015-07 2016-09-01T11:12:55Z 2016-09-01T11:12:55Z Journal Article https://hdl.handle.net/10568/76716 en Open Access Elsevier Mottaleb, K.A.; Gumma, M.K.; Mishra, A.K.; Mohanty, S. 2015. Quantifying Production Losses due to Drought and Submergence of Rainfed Rice at the households level Using Remotely Sensed MODIS data. Agricultural Systems 137 (7), 227-235. |
| spellingShingle | rainfed rice farm household drought submergence remote sensing modis data Mottaleb, K.A. Gumma, Murali K. Mishra, A.K. Mohanty, Samarendu Quantifying Production Losses due to Drought and Submergence of Rainfed Rice at the households level Using Remotely Sensed MODIS data |
| title | Quantifying Production Losses due to Drought and Submergence of Rainfed Rice at the households level Using Remotely Sensed MODIS data |
| title_full | Quantifying Production Losses due to Drought and Submergence of Rainfed Rice at the households level Using Remotely Sensed MODIS data |
| title_fullStr | Quantifying Production Losses due to Drought and Submergence of Rainfed Rice at the households level Using Remotely Sensed MODIS data |
| title_full_unstemmed | Quantifying Production Losses due to Drought and Submergence of Rainfed Rice at the households level Using Remotely Sensed MODIS data |
| title_short | Quantifying Production Losses due to Drought and Submergence of Rainfed Rice at the households level Using Remotely Sensed MODIS data |
| title_sort | quantifying production losses due to drought and submergence of rainfed rice at the households level using remotely sensed modis data |
| topic | rainfed rice farm household drought submergence remote sensing modis data |
| url | https://hdl.handle.net/10568/76716 |
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