Your search found 3 records
1 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.
2 Senay, G. B.; Kagone, S.; Velpuri, Naga M. 2020. Operational global actual evapotranspiration: development, evaluation, and dissemination. Sensors, 20(7):1915. (Special issue: Advances in Remote Sensors for Earth Observation and Modeling of Earth Processes) [doi: https://doi.org/10.3390/s20071915]
Evapotranspiration ; Evaluation ; Water balance ; Energy balance ; Drought ; Monitoring ; Models ; Moderate Resolution Imaging Spectroradiometer ; Remote sensing ; Satellite observation ; River basins ; Precipitation ; Estimation ; Land cover
(Location: IWMI HQ Call no: e-copy only Record No: H049657)
(3.92 MB) (3.92 MB)
Satellite-based actual evapotranspiration (ETa) is becoming increasingly reliable and available for various water management and agricultural applications from water budget studies to crop performance monitoring. The Operational Simplified Surface Energy Balance (SSEBop) model is currently used by the US Geological Survey (USGS) Famine Early Warning System Network (FEWS NET) to routinely produce and post multitemporal ETa and ETa anomalies online for drought monitoring and early warning purposes. Implementation of the global SSEBop using the Aqua satellite’s Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature and global gridded weather datasets is presented. Evaluation of the SSEBop ETa data using 12 eddy covariance (EC) flux tower sites over six continents indicated reasonable performance in capturing seasonality with a correlation coefficient up to 0.87. However, the modeled ETa seemed to show regional biases whose natures and magnitudes require a comprehensive investigation using complete water budgets and more quality-controlled EC station datasets. While the absolute magnitude of SSEBop ETa would require a one-time bias correction for use in water budget studies to address local or regional conditions, the ETa anomalies can be used without further modifications for drought monitoring. All ETa products are freely available for download from the USGS FEWS NET website.
3 Owusu, Afua; Kagone, S.; Leh, Mansoor; Velpuri, Naga Manohar; Gumma, M. K.; Ghansah, Benjamin; Thilina-Prabhath, Paranamana; Akpoti, Komlavi; Mekonnen, Kirubel; Tinonetsana, Primrose; Mohammed, I. 2024. A framework for disaggregating remote-sensing cropland into rainfed and irrigated classes at continental scale. International Journal of Applied Earth Observation and Geoinformation, 126:103607. [doi: https://doi.org/10.1016/j.jag.2023.103607]
Farmland ; Remote sensing ; Irrigated farming ; Rainfed farming ; Frameworks ; Agricultural water management ; Land use ; Land cover ; Models ; Datasets / Africa
(Location: IWMI HQ Call no: e-copy only Record No: H052552)
https://www.sciencedirect.com/science/article/pii/S1569843223004314/pdfft?md5=83620252268d54a0c1e63640065278cd&pid=1-s2.0-S1569843223004314-main.pdf
https://vlibrary.iwmi.org/pdf/H052552.pdf
https://vlibrary.iwmi.org/pdf/H052552.pdf
(11.90 MB) (11.9 MB)
Agriculture consumes the largest share of freshwater globally; therefore, distinguishing between rainfed and irrigated croplands is essential for agricultural water management and food security. In this study, a framework incorporating the Budyko model was used to differentiate between rainfed and irrigated cropland areas in Africa for eight remote sensing landcover products and a high-confidence cropland map (HCCM). The HCCM was generated for calibration and validation of the crop partitioning framework as an alternative to individual cropland masks which exhibit high disagreement. The accuracy of the framework in partitioning the HCCM was evaluated using an independent validation dataset, yielding an overall accuracy rate of 73 %. The findings of this study indicate that out of the total area covered by the HCCM (2.36 million km2 ), about 461,000 km2 (19 %) is irrigated cropland. The partitioning framework was applied on eight landcover products, and the extent of irrigated areas varied between 19 % and 30 % of the total cropland area. The framework demonstrated high precision and specificity scores, indicating its effectiveness in correctly identifying irrigated areas while minimizing the misclassification of rainfed areas as irrigated. This study provides an enhanced understanding of rainfed and irrigation patterns across Africa, supporting efforts towards achieving sustainable and resilient agricultural systems. Consequently, the approach outlined expands on the suite of remote sensing landcover products that can be used for agricultural water studies in Africa by enabling the extraction of irrigated and rainfed cropland data from landcover products that do not have disaggregated cropland classes.
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