Integrating remote sensing census and weather data for an assessment of rice yield water consumption and water productivity in the Indo-Gangetic river basin

Crop consumptive water use and productivity are key elements to understand basin watermanagement performance. This article presents a simplified approach tomap rice (Oryza sativa L.) water consumption, yield, and water productivity (WP) in the Indo-Gangetic Basin (IGB) by combining remotely sensed i...

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Autores principales: Cai, X.L., Sharma, Bharat R.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Elsevier 2010
Materias:
Acceso en línea:https://hdl.handle.net/10568/24603
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author Cai, X.L.
Sharma, Bharat R.
author_browse Cai, X.L.
Sharma, Bharat R.
author_facet Cai, X.L.
Sharma, Bharat R.
author_sort Cai, X.L.
collection Repository of Agricultural Research Outputs (CGSpace)
description Crop consumptive water use and productivity are key elements to understand basin watermanagement performance. This article presents a simplified approach tomap rice (Oryza sativa L.) water consumption, yield, and water productivity (WP) in the Indo-Gangetic Basin (IGB) by combining remotely sensed imagery, national census and meteorological data. The statistical rice cropped area and production data were synthesized to calculate district-level land productivity, which is then further extrapolated to pixel-level values using MODIS NDVI product based on a crop dominance map. The water consumption by actual evapotranspiration is estimated with Simplified Surface Energy Balance (SSEB) model taking meteorological data and MODIS land surface temperature products as inputs. WP maps are then generated by dividing the rice productivity map with the seasonal actual evapotranspiration (ET) map. The average rice yields for Pakistan, India, Nepal and Bangladesh in the basin are 2.60, 2.53, 3.54 and 2.75 tons/ha, respectively. The average rice ET is 416 mm, accounting for only 68.2% of potential ET. The average WP of rice is 0.74 kg/m3. The WP generally varies with the trends of yield variation. A comparative analysis of ET, yield, rainfall and WP maps indicates greater scope for improvement of the downstream areas of the Ganges basin. The method proposed is simple, with satisfactory accuracy, and can be easily applied elsewhere.
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spelling CGSpace246032024-08-27T10:35:15Z Integrating remote sensing census and weather data for an assessment of rice yield water consumption and water productivity in the Indo-Gangetic river basin Cai, X.L. Sharma, Bharat R. rice crop yield mapping evapotranspiration water productivity water use models remote sensing river basins Crop consumptive water use and productivity are key elements to understand basin watermanagement performance. This article presents a simplified approach tomap rice (Oryza sativa L.) water consumption, yield, and water productivity (WP) in the Indo-Gangetic Basin (IGB) by combining remotely sensed imagery, national census and meteorological data. The statistical rice cropped area and production data were synthesized to calculate district-level land productivity, which is then further extrapolated to pixel-level values using MODIS NDVI product based on a crop dominance map. The water consumption by actual evapotranspiration is estimated with Simplified Surface Energy Balance (SSEB) model taking meteorological data and MODIS land surface temperature products as inputs. WP maps are then generated by dividing the rice productivity map with the seasonal actual evapotranspiration (ET) map. The average rice yields for Pakistan, India, Nepal and Bangladesh in the basin are 2.60, 2.53, 3.54 and 2.75 tons/ha, respectively. The average rice ET is 416 mm, accounting for only 68.2% of potential ET. The average WP of rice is 0.74 kg/m3. The WP generally varies with the trends of yield variation. A comparative analysis of ET, yield, rainfall and WP maps indicates greater scope for improvement of the downstream areas of the Ganges basin. The method proposed is simple, with satisfactory accuracy, and can be easily applied elsewhere. 2010-02 2012-10-23T05:46:50Z 2012-10-23T05:46:50Z Journal Article https://hdl.handle.net/10568/24603 en Limited Access Elsevier Cai, X. L., & Sharma, B. R. (2010). Integrating remote sensing, census and weather data for an assessment of rice yield, water consumption and water productivity in the Indo-Gangetic river basin. In Agricultural Water Management (Vol. 97, Issue 2, pp. 309–316). Elsevier BV. https://doi.org/10.1016/j.agwat.2009.09.021
spellingShingle rice
crop yield
mapping
evapotranspiration
water productivity
water use
models
remote sensing
river basins
Cai, X.L.
Sharma, Bharat R.
Integrating remote sensing census and weather data for an assessment of rice yield water consumption and water productivity in the Indo-Gangetic river basin
title Integrating remote sensing census and weather data for an assessment of rice yield water consumption and water productivity in the Indo-Gangetic river basin
title_full Integrating remote sensing census and weather data for an assessment of rice yield water consumption and water productivity in the Indo-Gangetic river basin
title_fullStr Integrating remote sensing census and weather data for an assessment of rice yield water consumption and water productivity in the Indo-Gangetic river basin
title_full_unstemmed Integrating remote sensing census and weather data for an assessment of rice yield water consumption and water productivity in the Indo-Gangetic river basin
title_short Integrating remote sensing census and weather data for an assessment of rice yield water consumption and water productivity in the Indo-Gangetic river basin
title_sort integrating remote sensing census and weather data for an assessment of rice yield water consumption and water productivity in the indo gangetic river basin
topic rice
crop yield
mapping
evapotranspiration
water productivity
water use
models
remote sensing
river basins
url https://hdl.handle.net/10568/24603
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