Your search found 9 records
1 Singh, A.; Singh, O. P.; Singh, R. K.. 1992. Gender analysis in deepwater rice farming in Uttar Pradesh, India. Paper presented at International Workshop on Gender Concerns in Rice Farming, Chiangmai, Thailand, 20-25 October 1992. 13p.
(Location: IWMI-HQ Call no: P 2436/27 Record No: H011473)
2 Gupta, S. K.; Singh, R. K.; Pandey, R. S. 1992. Surface drainage requirement of crops: Application of a piecewise linear model for evaluating submergence tolerance. Irrigation and Drainage Systems, 6(3):249-261.
(Location: IWMI-HQ Call no: PER Record No: H012054)
3 Singh, R. K.; Prasad, S.; Naidu, N. S. J. 2000. Assessment of water quality of some Indian rivers based on factor analysis. In Trivedy, R. K. (Ed.), Pollution and biomonitoring of Indian Rivers. Jaipur, India: ABD Publishers. pp.111-125.
(Location: IWMI-HQ Call no: 574.526323 G635 TRI Record No: H028416)
4 Bandara, I. B. J.; De Silva, R. P.; Singh, R. K.. 2003. Remote sensing and GIS based methodology for curve number estimation in rainfall-runoff modelling. Tropical Agricultural Research, 15:307-315.
Rainfall-runoff relationships ; Estimation ; GIS ; Satellite surveys ; Models ; Land use ; Catchment areas ; Watersheds / India / Doon Valley / Bainkhala Watershed
(Location: IWMI-HQ Call no: P 6632 Record No: H033448)
5 Singh, R. K.; Mishra, B.; Singh, K. N. 2004. Salt tolerant rice varieties and their role in reclamation programme in Uttar Pradesh. Indian Farming, 53(11):6-10.
(Location: IWMI-HQ Call no: P 6892 Record No: H034932)
6 Ismail, A. M.; Thomson, M. J.; Vergara, G. V.; Rahman, M A.; Singh, R. K.; Gregorio, G. B.; Mackill, D. J. 2010. Designing resilient rice varieties for coastal deltas using modern breeding tools. In Hoanh, Chu Thai; Szuster, B. W.; Kam, S. P.; Ismail, A. M; Noble, Andrew D. (Eds.). Tropical deltas and coastal zones: food production, communities and environment at the land-water interface. Wallingford, UK: CABI; Colombo, Sri Lanka: International Water Management Institute (IWMI); Penang, Malaysia: WorldFish Center; Los Banos, Philippines: International Rice Research Institute (IRRI); Bangkok, Thailand: FAO Regional Office for Asia and the Pacific; Colombo, Sri Lanka: CGIAR Challenge Program on Water and Food (CPWF). pp.154-165.
(Location: IWMI HQ Call no: IWMI 551.457 G000 HOA Record No: H043055)
(5.08 MB)
7 Singh, R. K.; Redona, E.; Gregorio, G. B.; Salam, M. A.; Islam, M. R.; Singh, D. P.; Sen, P.; Saha, S.; Mahata, K. R.; Sharma, S. G.; Pandey, M. P.; Sajise, A. G.; Mendoza, R. D.; Toledo, M. C.; Dante, A.; Ismail, A. M.; Paris, T. R.; Haefele, S. M.; Thomson, M. J.; Zolvinski, S.; Singh, Y. P.; Nayak, A. K.; Singh, R. B.; Mishra, V. K.; Sharma, D. K.; Gautam, R. K.; Ram, P. C.; Singh, P. N.; Verma, O. P.; Singh, A.; Lang, N. T. 2010. The right rice in the right place: systematic exchange and farmer-based evaluation of rice germplasm for salt-affected areas. In Hoanh, Chu Thai; Szuster, B. W.; Kam, S. P.; Ismail, A. M; Noble, Andrew D. (Eds.). Tropical deltas and coastal zones: food production, communities and environment at the land-water interface. Wallingford, UK: CABI; Colombo, Sri Lanka: International Water Management Institute (IWMI); Penang, Malaysia: WorldFish Center; Los Banos, Philippines: International Rice Research Institute (IRRI); Bangkok, Thailand: FAO Regional Office for Asia and the Pacific; Colombo, Sri Lanka: CGIAR Challenge Program on Water and Food (CPWF). pp.166-182.
(Location: IWMI HQ Call no: IWMI 551.457 G000 HOA Record No: H043056)
(5.08 MB)
8 Singh, R. K.; Irmak, A. 2009. Estimation of crop coefficients using satellite remote sensing. Journal of Irrigation and Drainage Engineering, 135(5):597-608. [doi: https://doi.org/10.1061/ASCEIR.1943-4774.0000052]
(Location: IWMI HQ Call no: e-copy only Record No: H043642)
(1.28 MB)
Crop coefficient Kc based estimation of crop evapotranspiration ETc is one of the most commonly used methods for irrigation water management. The standardized FAO56 Penman-Monteith approach for estimating ETc from reference evapotranspiration and tabulated generalized Kc values has been widely adopted worldwide to estimate ETc. In this study, we presented a modified approach toward estimating Kc values from remotely sensed data. The surface energy balance algorithm for land model was used for estimating the spatial distribution of ETc for major agronomic crops during the 2005 growing season in southcentral Nebraska. The alfalfa-based reference evapotranspiration ETr was calculated using data from multiple automatic weather stations with geostatistical analysis. The Kc values were estimated based on ETc and ETr i.e., Kc=ETc /ETr. A land use map was used for sampling and profiling the Kc values from the satellite overpass for the major crops grown in southcentral Nebraska. Finally, a regression model was developed to establish the relationship between the normalized difference vegetation index NDVI and the ETr-based crop coefficients Kcr for corn, soybeans, sorghum, and alfalfa. We found that the coefficients of variation CV for NDVI, as well as for Kcr of crops were lower during the midseason as compared to the early and late growing seasons. High CV values during the early growing season can be attributed to differences in planting dates between the fields, whereas high CVs during the late season can be attributed to differences in maturity dates of the crops, variety, and management practices. There was a good relationship between Kcr and NDVI for all the crops except alfalfa. Validation of the developed model for irrigated corn showed very promising results. There was a good correlation between the NDVIestimated Kcr and the Bowen ratio energy balance system based Kcr with a R2 of 0.74 and a low root mean square difference of 0.21. This approach can be a very useful tool for a large watershed or regional scale estimation of evapotranspiration using the crop coefficient and reference evapotranspiration approach.
9 Velpuri, Naga Manohar; Senay, G. B.; Schauer, M.; Garcia, C. A.; Singh, R. K.; Friedrichs, M.; Kagone, S.; Haynes, J.; Conlon, T. 2020. Evaluation of hydrologic impact of an irrigation curtailment program using Landsat satellite data. Hydrological Processes, 34(8):1697-1713. [doi: https://doi.org/10.1002/hyp.13708]
Irrigation water ; Water conservation ; Hydrological factors ; Evapotranspiration ; Landsat ; Satellite imagery ; Agriculture ; Water use ; Water availability ; Crops ; Precipitation ; Irrigated sites ; Lakes ; River basins ; Energy balance ; Models / USA / Oregon / Upper Klamath Lake Basin / Wood River / Sprague River / Williamson River
(Location: IWMI HQ Call no: e-copy only Record No: H049626)
https://onlinelibrary.wiley.com/doi/epdf/10.1002/hyp.13708
https://vlibrary.iwmi.org/pdf/H049626.pdf
https://vlibrary.iwmi.org/pdf/H049626.pdf
(7.52 MB) (7.52 MB)
Upper Klamath Lake (UKL) is the source of the Klamath River that flows through southern Oregon and northern California. The UKL Basin provides water for 81,000+ ha (200,000+ acres) of irrigation on the U.S. Bureau of Reclamation Klamath Project located downstream of the UKL Basin. Irrigated agriculture also occurs along the tributaries to UKL. During 2013–2016, water rights calls resulted in various levels of curtailment of irrigation diversions from the tributaries to UKL. However, information on the extent of curtailment, how much irrigation water was saved, and its impact on the UKL is unknown. In this study, we combined Landsat-based actual evapotranspiration (ETa) data obtained from the Operational Simplified Surface Energy Balance model with gridded precipitation and U.S. Geological Survey station discharge data to evaluate the hydrologic impact of the curtailment program. Analysis was performed for 2004, 2006, 2008–2010 (base years), and 2013–2016 (target years) over irrigated areas above UKL. Our results indicate that the savings from the curtailment program over the June to September time period were highest during 2013 and declined in each of the following years. The total on-field water savings was approximately 60 hm3 in 2013 and 2014, 44 hm3 in 2015, and 32 hm3 in 2016 (1 hm3 = 10,000 m3 or 810.7 ac-ft). The instream water flow changes or extra water available were 92, 68, 45, and 26 hm3, respectively, for 2013, 2014, 2015, and 2016. Highest water savings came from pasture and wetlands. Alfalfa showed the most decline in water use among grain crops. The resulting extra water available from the curtailment contributed to a maximum of 19% of the lake inflows and 50% of the lake volume. The Landsat-based ETa and other remote sensing datasets used in this study can be used to monitor crop water use at the irrigation district scale and to quantify water savings as a result of land-water management changes.
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