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2022 | OriginalPaper | Buchkapitel

9. Utility of Satellite-Based Open Access Data in Estimating Land and Water Productivity for a Canal Command

verfasst von : P. K. Mishra, Subhrasita Behera, P. K. Singh, Rohit Sambare

Erschienen in: Geospatial Technologies for Land and Water Resources Management

Verlag: Springer International Publishing

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Abstract

Increasing competition for land and water resources is expected in future due to rising demands for food and bioenergy production, biodiversity conservation, and changing production conditions due to climate change. Growing competition for water in many sectors reduces its availability for irrigation. Thus, efficient approaches are required for effective management of water in every sector, particularly in agriculture. To achieve efficient and effective water use, it requires increasing crop water productivity (WP) and crop yield through improved crop varieties. Only high water productivity values carry little importance if they are not associated with increased or acceptable yields. Such association of high (or moderate) water productivity values with high (or moderate) yields has considerable implications on water’s effective use. Land productivity and water productivity increment are the most efficient solution for meeting increasing food demand and climate variation. Water consumption (evapotranspiration (ET)) is an influencing factor for productivity estimation across a command area. Thus, in the present analysis, ET was estimated first, followed by land and water productivity assessment for the Hirakud canal command situated in the Mahanadi basin. Water accounting plus (WA+) Framework, jointly developed by the UNESCO-IHE, IWMI and FAO, has been utilized to assess the total water consumptions, agricultural water consumptions (using green water and blue water), and estimation of land and water productivity for a period of 12 years, i.e., 2003–2014. WA+ is a python based framework designed to provide explicit spatial information on water depletion and the net withdrawal process of a region using globally available open access data. The results showed that land productivity and water productivity varies from 1973 to 2219 (kg/ha) and 0.41 to 0.55 (kg/m3) for irrigated cereals (paddy), respectively, across the Hirakud canal command area.

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Literatur
Zurück zum Zitat Allen RG, Brockway CE, Wright JL (1983) Weather station siting and consumptive use estimates. J Water Resour Plan Manag 109(2):134–146CrossRef Allen RG, Brockway CE, Wright JL (1983) Weather station siting and consumptive use estimates. J Water Resour Plan Manag 109(2):134–146CrossRef
Zurück zum Zitat Arino O, Perez JR, Kalogirou V, Defourny P, Achard F (2010) Globcover 2009. In: ESA living planet symposium, vol (1), pp 1–3 Arino O, Perez JR, Kalogirou V, Defourny P, Achard F (2010) Globcover 2009. In: ESA living planet symposium, vol (1), pp 1–3
Zurück zum Zitat Asokan SM, Dutta D (2008) Analysis of water resources in the Mahanadi River Basin, India under projected climate conditions. Hydrol Process 22(18):3589–3603CrossRef Asokan SM, Dutta D (2008) Analysis of water resources in the Mahanadi River Basin, India under projected climate conditions. Hydrol Process 22(18):3589–3603CrossRef
Zurück zum Zitat Bastiaanssen WGM, Ali S (2003) A new crop yield forecasting model based on satellite measurements applied across the Indus Basin, Pakistan. Agr Ecosyst Environ 94(3):321–340CrossRef Bastiaanssen WGM, Ali S (2003) A new crop yield forecasting model based on satellite measurements applied across the Indus Basin, Pakistan. Agr Ecosyst Environ 94(3):321–340CrossRef
Zurück zum Zitat Budyko M (1974) Climate and life. Academic Press, San Diego, CA, USA, pp 72–191 Budyko M (1974) Climate and life. Academic Press, San Diego, CA, USA, pp 72–191
Zurück zum Zitat Falkenmark M, Rockström J (2006) The new blue and green water paradigm: breaking new ground for water resources planning and management. J Water Resour Plan Manag 132(3):129–132CrossRef Falkenmark M, Rockström J (2006) The new blue and green water paradigm: breaking new ground for water resources planning and management. J Water Resour Plan Manag 132(3):129–132CrossRef
Zurück zum Zitat Karimi P, Bastiaanssen WGM, Molden D, Cheema MJM (2013) Basin-wide water accounting based on remote sensing data: An application for the Indus Basin. Hydrol Earth Syst Sci 17(7):2473–2486CrossRef Karimi P, Bastiaanssen WGM, Molden D, Cheema MJM (2013) Basin-wide water accounting based on remote sensing data: An application for the Indus Basin. Hydrol Earth Syst Sci 17(7):2473–2486CrossRef
Zurück zum Zitat Karimi P, Bastiaanssen WGM, Molden D (2013) Water Accounting Plus (WA+)—A water accounting procedure for complex river basins based on satellite measurements. Hydrol Earth Syst Sci 17(7):2459–2472CrossRef Karimi P, Bastiaanssen WGM, Molden D (2013) Water Accounting Plus (WA+)—A water accounting procedure for complex river basins based on satellite measurements. Hydrol Earth Syst Sci 17(7):2459–2472CrossRef
Zurück zum Zitat Mitra AK, Bohra AK, Rajeevan MN, Krishnamurti T N (2009) Daily indian precipitation analysis formed from a merge of rain-gauge data with the TRMM TMPA satellite-derived rainfall estimates. J Meteorol Soc Jpn 87A:265–279 Mitra AK, Bohra AK, Rajeevan MN, Krishnamurti T N (2009) Daily indian precipitation analysis formed from a merge of rain-gauge data with the TRMM TMPA satellite-derived rainfall estimates. J Meteorol Soc Jpn 87A:265–279
Zurück zum Zitat Molden D, Oweis T, Steduto P, Bindraban P, Hanjra MA, Kijne J (2010) Improving agricultural water productivity: between optimism and caution. Agric Water Manag 97(4):528–535CrossRef Molden D, Oweis T, Steduto P, Bindraban P, Hanjra MA, Kijne J (2010) Improving agricultural water productivity: between optimism and caution. Agric Water Manag 97(4):528–535CrossRef
Zurück zum Zitat Molden D, Murray-Rust H, Makin L (2004) Water productivity in agriculture: limits and opportunities for improvement. Choice Rev (Online) Molden D, Murray-Rust H, Makin L (2004) Water productivity in agriculture: limits and opportunities for improvement. Choice Rev (Online)
Zurück zum Zitat Sharma BR, Gulati A, Mohan G, Manchanda S, Ray I, Amarasinghe U (2018) Water productivity mapping of major Indian crops. A report by NABARD and ICRIER © pp 1–182 Sharma BR, Gulati A, Mohan G, Manchanda S, Ray I, Amarasinghe U (2018) Water productivity mapping of major Indian crops. A report by NABARD and ICRIER © pp 1–182
Zurück zum Zitat Wardlow BD, Egbert SL (2008) Large-area crop mapping using time-series MODIS 250 m NDVI data: an assessment for the U.S. Central Great Plains. Remote Sens Environ 112(3):1096–1116CrossRef Wardlow BD, Egbert SL (2008) Large-area crop mapping using time-series MODIS 250 m NDVI data: an assessment for the U.S. Central Great Plains. Remote Sens Environ 112(3):1096–1116CrossRef
Zurück zum Zitat Zhao J, Chen X, Zhang J, Zhao H, Song Y (2019) Higher temporal evapotranspiration estimation with improved SEBS model from geostationary meteorological satellite data. Sci Rep 9(1):1–15 Zhao J, Chen X, Zhang J, Zhao H, Song Y (2019) Higher temporal evapotranspiration estimation with improved SEBS model from geostationary meteorological satellite data. Sci Rep 9(1):1–15
Metadaten
Titel
Utility of Satellite-Based Open Access Data in Estimating Land and Water Productivity for a Canal Command
verfasst von
P. K. Mishra
Subhrasita Behera
P. K. Singh
Rohit Sambare
Copyright-Jahr
2022
DOI
https://doi.org/10.1007/978-3-030-90479-1_9

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