Peer-reviewed Publications
[48] Mekonnen, K., Velpuri, N.M., Leh, M., Akpoti, K., Owusu, A., Tinonetsana, P., Hamouda, T., Ghansah, B., Paranamana T.P., Munzimi, Y., (2023). Accuracy of satellite and reanalysis rainfall estimates over Africa: A multi-scale assessment of eight products for continental applications, Journal of Hydrology: Regional Studies, 4, 101514.
[47] Senay, G. B., Kagone, S., Parrish, G. E., Khand, K., Boiko, O., & Velpuri, N. M. (2023). Improvements and Evaluation of the Agro-Hydrologic VegET Model for Large-Area Water Budget Analysis and Drought Monitoring. Hydrology, 10(8), 168.
[46] Kagone, S., Velpuri, N. M., Khand, K., Senay, G. B., Van der Valk, M. R., Goode, D. J., ... & Eggleston, J. R. (2023). Satellite precipitation bias estimation and correction using in situ observations and climatology isohyets for the MENA region. Journal of Arid Environments, 215, 105010.
[45] Velpuri, N. M., Mateo-Sagasta, J., & Orabi, M. O. (2023). Spatially Explicit Wastewater Generation and Tracking (SEWAGE-TRACK) in the Middle East and North Africa region. Science of the Total Environment, 875, 162421.
[44] Mateo-Sagasta, J., Velpuri, N. M., & Orabi, M. O. (2022). Wastewater production, treatment and reuse in MENA. Water reuse in the Middle East and North Africa, 15.
[43] Eid-Sabbagh, K., Roukoz, S., Nassif, M. H., Velpuri, N., & Mateo-Sagasta, J. (2022). Analysis of water reuse potential for irrigation in Lebanon, IWMI Research Report #181, International Water Management Institute.
[42] Kumar, S. S., Prihodko, L., Lind, B. M., Anchang, J., Ji, W., Ross, C. W., Kahiu, M.N., Velpuri, N.M., & Hanan, N. P. (2020). Remotely sensed thermal decay rate: an index for vegetation monitoring. Scientific reports, 10(1), 1-11.
[41] Velpuri, N.M., Senay, G.B., Schauer, M., Garcia, A.C., Kagone, S., Haynes, J.V., Conlon, T.D., (2020), Evaluation of hydrologic impact of an irrigation curtailment program in the Upper Klamath Lake Basin using Landsat satellite data, Hydrological Processes.
[40] Ji, L., Senay, G.B., Velpuri, N.M., Kagone, S., (2019), Evaluating the Temperature Difference Parameter in the SSEBop Model with Satellite-Observed Land Surface Temperature Data, Remote Sensing 11 (16), 1947.
[39] Senay, G.B., Schauer, M., Velpuri, N.M., and Singh, R.K., Kagone, S., Friedrichs, M., (2019), Long-term (1986-2015) Crop Water Use Characterization over the Upper Rio Grande Basin using Landsat-based Evapotranspiration. Remote Sensing.
[38] Velpuri, N. M., Senay, G. B., Driscoll, J. M., Saxe, S., Hay, L., Farmer, W., & Kiang, J. (2019), Gravity Recovery and Climate Experiment (GRACE) Storage Change Characteristics (2003–2016) over Major Surface Basins and Principal Aquifers in the Conterminous United States. Remote Sensing, 11(8), 936.
[37] Velpuri, N.M., and Senay, G.B., (2017), Partitioning Evapotranspiration into Green and Blue Water Sources in the Conterminous United States, Nature Scientific Reports, 7: 6191.
[36] Senay, G.B., Schauer, M., Friedrichs, M., Velpuri, N.M., and Singh, R.K., (2017), Satellite-based water use dynamics using historical Landsat data (1984–2014) in the southwestern United States: Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2017.05.005.
[35] Velpuri, N.M., Pervez, M.S., and Cushing, W.M. (2016), Hydropower assessment of Bolivia—A multisource satellite data and hydrologic modeling approach: U.S. Geological Survey Open-File Report 2016–1156, 65p.
[34] Velpuri, N.M., Senay, G.B, and Morisette, J.T. (2016), Evaluating new SMAP soil moisture for drought monitoring in the rangelands of US high plains, Rangelands Journal.
[33] Senay, G.B., Friedrichs, M., Singh, R.K., Velpuri, N.M. (2016), Evaluating Landsat 8 evapotranspiration for water use mapping in the Colorado River Basin, Remote Sensing of Environment.
[32] Biggs, T.W., Petropoulos, G.P., Velpuri, N.M., Marshall, M., Glenn, E.P., Nagler, P., Messina, A. (2015), Remote Sensing of Actual Evapotranspiration from Croplands. Remote Sensing of Water Resources, Disasters, and Urban Studies, 59.
[31] Senay, G. B., Velpuri, N.M., S. Bohms, M. Budde, C. Young, J. Rowland, and J.P. Verdin. (2015), Drought Monitoring and Assessment: Remote Sensing and Modeling Approaches for the Famine Early Warning Systems Network, Eds. Paolo, P.,& G. D. Baldassarre, Elsevier Book on Hydro-Meteorological Hazards, Risks, and Disasters.
[30] Singh, R.K., Senay, G.B., Velpuri, N.M., Bohms, S., Verdin, J.P. (2014), On the Downscaling of Actual Evapotranspiration Maps Based on Combination of MODIS and Landsat-Based Actual Evapotranspiration Estimates. Remote Sens. 6, 10483-10509.
[29] Senay, G.B., Velpuri, N.M., Bohms, S., Demissie, Y., & Gebremichael, M. (2014), Understanding the Hydrologic Sources and Sinks in the Nile Basin Using Multi-Source Climate and Remote Sensing Datasets. Water Resources Research, 50(11), 8625-8650.
[28] Velpuri, N.M., Senay, G. B., Alemu, H., Rowland, J., & Verdin, J.P. (2014), Africa Wide Monitoring of Small Surface Water Bodies Using Multi-Source Satellite Data: Monitoring System for FEWS NET, Nile River basin: Ecohydrological Degradation, Climate Change and Hydropolitics, Eds. Melesse, A.M., Abtew, W., & Setegn, S.G., Elsevier publications.
[27] Singh, R. K., Senay, G., Velpuri, N.M., Bohms, S., Rowland, J., & Verdin, J. P. (2014), Actual Evapotranspiration (Water Use) Assessment of the Colorado River Basin at the Landsat Resolution using the Operational Simplified Surface Energy Balance Model, Remote Sensing, 6, 233-256.
[26] Velpuri, N.M., Senay, G.B., Singh, R. K., Bohms, S. and Verdin, J., (2013) Validation of two MODIS evapotranspiration products using FLUXNET, gridded FLUXNET ET and water balance analysis, Remote Sensing of Environment, 139, 35-49.
[25] Senay, G.B., Velpuri, N.M., Alemu, H., Pervez, S., Asante, K.O., Kariuki, G., Assefa, T., and Angerer, J., (2013) Establishing Operational Water monitoring system using satellite data and hydrologic modelling: Application in the pastoral regions of East Africa, Pastoralism: Research, Policy and Practice, 3, 1-16. (Springer’s Highly Accessed Publication)
[24] Velpuri, N.M., and Senay, G. B., (2013) Analysis of Long-Term Trends (1950–2009) in Precipitation, Runoff and Runoff Coefficient in Major Urban Watersheds in the United States, Environmental Research Letters, 8, 024020.
[23] Velpuri, N.M., and Senay, G. B., (2013) Ethiopia’s Gibe III Dam – its potential impact on Lake Turkana water levels, A Report of the Division of Early Warning and Assessment (DEWA) United Nations Environment Programme, Nairobi, April 2013, p. 46.
[22] Senay, G. B., Bohms, S., Singh, R.K., Gowda, P.H., Velpuri, N.M., Alemu, H., and Verdin, J., (2013) Operational evapotranspiration mapping using remote sensing and weather datasets: A new parameterization for the SSEB approach, Journal of American Water Resources Association, 2013.
[21] Velpuri, N.M., and Senay, G. B., (2012) Assessing the potential hydrological impact of the Gibe III Dam on Lake Turkana water level using multi-source satellite data, Hydrology and Earth System Sciences, 16, 3561–3578.
[20] Velpuri, N.M., Senay, G. B., and Asante K.O., (2012) A multi-source satellite data approach for modelling Lake Turkana water level: calibration and validation using satellite altimetry data, Hydrology and Earth System Sciences, 16:1-18.
[19] Velpuri, N.M., (2012) Satellite driven hydrological modeling of ungauged lakes and reservoirs: Applications in East Africa, Ph.D Dissertation, South Dakota States University, USA, May 2012.
[18] Gumma, M., Thenkabail, P.S., Muralikrishna, I.V., Velpuri, N.M., et al. (2011) Changes in Agricultural Cropland Areas between a water surplus year and water-deficit year impacting food security determined using MODIS 250m time-series data and spectral matching techniques in the Krishna River Basin (India), International Journal of Remote Sensing, 32:12, 3495-3520.
[17] Dheeravath, V., Thenkabail, P.S., Chandrakantha, G., Noojipady, P., Reddy, G.P.O., Biradar, C.M., Gumma, M.K. and Velpuri, N.M., 2010. Irrigated areas of India derived using MODIS 500 m time series for the years 2001–2003. ISPRS Journal of Photogrammetry and Remote Sensing, 65(1), pp.42-59.
[16] Gumma, M. K., Thenkabail, P. S., & Velpuri, N. M. (2009), Vegetation phenology to partition groundwater-from surface-water-irrigated areas using MODIS 250-m time-series data for the Krishna River basin. IAHS publication, 20, 271.
[15] Velpuri, N.M., Thenkabail, P.S., et al. (2009) Influence of Resolution in Irrigated Area Mapping and Area Estimations, Photogrammetric Engineering & Remote Sensing, Vol.75., No.12. 2009.
[14] Biradar, C.M., Thenkabail, P.S., Noojipady, P., Li, Y.J., Dheeravath, V., Velpuri, M., Turral, H., Cai, X.L., Gumma, M. and Gangalakunta, O.R.P., 2009. 15 Global Map of Rainfed Cropland Areas (GMRCA) and Statistics Using Remote Sensing. Remote Sensing of Global Croplands for Food Security, p.357.
[13] Thenkabail, P.S., Biradar, C M., Noojipady, P, Dheeravath, V, Li, Y, Velpuri, N.M., et al. (2009) Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium, International Journal of Remote Sensing, 30:14, 3679- 3733.
[12] Thenkabail, P.S., Dheeravath, V., Biradar, C.M., Gangalakunta, O.R.P., Noojipady, P., Gurappa, C., Velpuri, M., Gumma, M. and Li, Y., 2009. Irrigated area maps and statistics of India using remote sensing and national statistics. Remote Sensing, 1(2), pp.50-67.
[11] Biradar, C.M., Thenkabail, P.S., Noojipady, P., Yuanjie, L., Dheeravath, V., Velpuri, N.M., et al. (2009) A global map of rain-fed cropland areas (GMRCA) using time series data from multiple satellite sensors, International Journal of Applied Earth Observation and Geoinformation, 11, 114-129.
[10] Li, Y.J., Thenkabail, P.S., Biradar, C.M., Noojipady, P., Dheeravath, V., Velpuri, N.M., Gangalakunta, O.R., Cai, X.L. (2009) A history of irrigated areas of the world, In the book entitled: “Remote Sensing of Global Croplands for Food Security” Pp. 475. June, 2009.
[9] Thenkabail. P.S., Biradar, C.M., Noojipady, P., Dheeravath, V., Gumma, M., Li, Y.J., Velpuri, N.M., Gangalakunta, O.R.P. (2009) Global irrigated area maps (GIAM) and statistics using remote sensing. Pp. 41-120. In the book entitled: “Remote Sensing of Global Croplands for Food Security” (CRC Press- Taylor and Francis group, Boca Raton, London, New York. Pp. 475. June, 2009.
[8] Gangalakunta, O.R.P., Dheeravath, V., Thenkabail, P.S., Chandrakantha, G., Biradar, C.M., Noojipady, P., Velpuri, N.M., and Kumar, M.A. (2009) Irrigated areas of India derived from satellite sensors and national statistics: A way forward from GIAM experience. Pp. 139-176. In the book entitled: “Remote Sensing of Global Croplands for Food Security” (CRC Press- Taylor and Francis group, Boca Raton, London, New York.
[7] Thenkabail, P.S., Biradar, C.M., Noojipady, P., Turral, H., Dheeravath, V., Velpuri, N.M., Reddy, G.P.O., Li, Y.J., Cai, X. L., Gumma, M., Schull, M., Vithanage, J., Pandey, S. and Dutta, R. (2008) A Global Irrigated Area Map (GIAM) Using Time-Series Satellite Sensor, Secondary, Google Earth, and Groundtruth Data. In the book Global Irrigated Area Maps, Statistics, and Methods (editors: Thenkabail, P.S., Turral. H., and Biradar, C.M.).
[6] Thenkabailc, P.S., Biradar, C.M., Noojipady, P., Cai, X., Dheeravath, V., Li, Y., Velpuri, M., Gumma, M. and Pandey, S., 2007. Sub-pixel area calculation methods for estimating irrigated areas. Sensors, 7(11), pp.2519-2538.
[5] Thenkabail P.S., Biradar C.M., Turral H., Noojipady, P., Li, Y.J., Vithanage, J., Dheeravath, V., Velpuri, N.M., Schull M., Cai, X. L., and Dutta, R., (2006) “An Irrigated area map of the world (1999) derived from Remote sensing”, IWMI Research Report – 105 (Peer-reviewed), International Water Management Institute.
[4] Thenkabail, P.S., Velpuri, N.M., Noojipady, P., and Abayawardana, S., (2006) A knowledge base system for Sri Lanka (KBS-Lanka) for Disaster Preparedness. Water Matters, Issue 1, Newsletter from International Water Management Institute, Colombo, Sri Lanka.
[3] Thenkabail, P.S., Biradar, C.M., Turral, H., Noojipady, P., Li, Y.J., Vithanage, J., Dheeravath, V., Velpuri, N.M., et al., (2006) Methodology for Global Irrigated Area Mapping using Remote Sensing Datasets. IWMI Working Paper.
[2] Thenkabail P.S., Biradar C.M., Turral H., Noojipady, P., Dheeravath, V., Velpuri, M., et al., (2006) “GIAM: To help answers questions about water for food and nature”, Water Figures, Quarterly Newsletter from International Water Management Institute, Colombo, Sri Lanka.
[1] Velpuri, N.M., (2005) Mapping Saltmarsh 3-dimensional characteristics for tidal inundation modeling, M.Phil Thesis, Department of Geography, University of Cambridge, 2005.
[47] Senay, G. B., Kagone, S., Parrish, G. E., Khand, K., Boiko, O., & Velpuri, N. M. (2023). Improvements and Evaluation of the Agro-Hydrologic VegET Model for Large-Area Water Budget Analysis and Drought Monitoring. Hydrology, 10(8), 168.
[46] Kagone, S., Velpuri, N. M., Khand, K., Senay, G. B., Van der Valk, M. R., Goode, D. J., ... & Eggleston, J. R. (2023). Satellite precipitation bias estimation and correction using in situ observations and climatology isohyets for the MENA region. Journal of Arid Environments, 215, 105010.
[45] Velpuri, N. M., Mateo-Sagasta, J., & Orabi, M. O. (2023). Spatially Explicit Wastewater Generation and Tracking (SEWAGE-TRACK) in the Middle East and North Africa region. Science of the Total Environment, 875, 162421.
[44] Mateo-Sagasta, J., Velpuri, N. M., & Orabi, M. O. (2022). Wastewater production, treatment and reuse in MENA. Water reuse in the Middle East and North Africa, 15.
[43] Eid-Sabbagh, K., Roukoz, S., Nassif, M. H., Velpuri, N., & Mateo-Sagasta, J. (2022). Analysis of water reuse potential for irrigation in Lebanon, IWMI Research Report #181, International Water Management Institute.
[42] Kumar, S. S., Prihodko, L., Lind, B. M., Anchang, J., Ji, W., Ross, C. W., Kahiu, M.N., Velpuri, N.M., & Hanan, N. P. (2020). Remotely sensed thermal decay rate: an index for vegetation monitoring. Scientific reports, 10(1), 1-11.
[41] Velpuri, N.M., Senay, G.B., Schauer, M., Garcia, A.C., Kagone, S., Haynes, J.V., Conlon, T.D., (2020), Evaluation of hydrologic impact of an irrigation curtailment program in the Upper Klamath Lake Basin using Landsat satellite data, Hydrological Processes.
[40] Ji, L., Senay, G.B., Velpuri, N.M., Kagone, S., (2019), Evaluating the Temperature Difference Parameter in the SSEBop Model with Satellite-Observed Land Surface Temperature Data, Remote Sensing 11 (16), 1947.
[39] Senay, G.B., Schauer, M., Velpuri, N.M., and Singh, R.K., Kagone, S., Friedrichs, M., (2019), Long-term (1986-2015) Crop Water Use Characterization over the Upper Rio Grande Basin using Landsat-based Evapotranspiration. Remote Sensing.
[38] Velpuri, N. M., Senay, G. B., Driscoll, J. M., Saxe, S., Hay, L., Farmer, W., & Kiang, J. (2019), Gravity Recovery and Climate Experiment (GRACE) Storage Change Characteristics (2003–2016) over Major Surface Basins and Principal Aquifers in the Conterminous United States. Remote Sensing, 11(8), 936.
[37] Velpuri, N.M., and Senay, G.B., (2017), Partitioning Evapotranspiration into Green and Blue Water Sources in the Conterminous United States, Nature Scientific Reports, 7: 6191.
[36] Senay, G.B., Schauer, M., Friedrichs, M., Velpuri, N.M., and Singh, R.K., (2017), Satellite-based water use dynamics using historical Landsat data (1984–2014) in the southwestern United States: Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2017.05.005.
[35] Velpuri, N.M., Pervez, M.S., and Cushing, W.M. (2016), Hydropower assessment of Bolivia—A multisource satellite data and hydrologic modeling approach: U.S. Geological Survey Open-File Report 2016–1156, 65p.
[34] Velpuri, N.M., Senay, G.B, and Morisette, J.T. (2016), Evaluating new SMAP soil moisture for drought monitoring in the rangelands of US high plains, Rangelands Journal.
[33] Senay, G.B., Friedrichs, M., Singh, R.K., Velpuri, N.M. (2016), Evaluating Landsat 8 evapotranspiration for water use mapping in the Colorado River Basin, Remote Sensing of Environment.
[32] Biggs, T.W., Petropoulos, G.P., Velpuri, N.M., Marshall, M., Glenn, E.P., Nagler, P., Messina, A. (2015), Remote Sensing of Actual Evapotranspiration from Croplands. Remote Sensing of Water Resources, Disasters, and Urban Studies, 59.
[31] Senay, G. B., Velpuri, N.M., S. Bohms, M. Budde, C. Young, J. Rowland, and J.P. Verdin. (2015), Drought Monitoring and Assessment: Remote Sensing and Modeling Approaches for the Famine Early Warning Systems Network, Eds. Paolo, P.,& G. D. Baldassarre, Elsevier Book on Hydro-Meteorological Hazards, Risks, and Disasters.
[30] Singh, R.K., Senay, G.B., Velpuri, N.M., Bohms, S., Verdin, J.P. (2014), On the Downscaling of Actual Evapotranspiration Maps Based on Combination of MODIS and Landsat-Based Actual Evapotranspiration Estimates. Remote Sens. 6, 10483-10509.
[29] Senay, G.B., Velpuri, N.M., Bohms, S., Demissie, Y., & Gebremichael, M. (2014), Understanding the Hydrologic Sources and Sinks in the Nile Basin Using Multi-Source Climate and Remote Sensing Datasets. Water Resources Research, 50(11), 8625-8650.
[28] Velpuri, N.M., Senay, G. B., Alemu, H., Rowland, J., & Verdin, J.P. (2014), Africa Wide Monitoring of Small Surface Water Bodies Using Multi-Source Satellite Data: Monitoring System for FEWS NET, Nile River basin: Ecohydrological Degradation, Climate Change and Hydropolitics, Eds. Melesse, A.M., Abtew, W., & Setegn, S.G., Elsevier publications.
[27] Singh, R. K., Senay, G., Velpuri, N.M., Bohms, S., Rowland, J., & Verdin, J. P. (2014), Actual Evapotranspiration (Water Use) Assessment of the Colorado River Basin at the Landsat Resolution using the Operational Simplified Surface Energy Balance Model, Remote Sensing, 6, 233-256.
[26] Velpuri, N.M., Senay, G.B., Singh, R. K., Bohms, S. and Verdin, J., (2013) Validation of two MODIS evapotranspiration products using FLUXNET, gridded FLUXNET ET and water balance analysis, Remote Sensing of Environment, 139, 35-49.
[25] Senay, G.B., Velpuri, N.M., Alemu, H., Pervez, S., Asante, K.O., Kariuki, G., Assefa, T., and Angerer, J., (2013) Establishing Operational Water monitoring system using satellite data and hydrologic modelling: Application in the pastoral regions of East Africa, Pastoralism: Research, Policy and Practice, 3, 1-16. (Springer’s Highly Accessed Publication)
[24] Velpuri, N.M., and Senay, G. B., (2013) Analysis of Long-Term Trends (1950–2009) in Precipitation, Runoff and Runoff Coefficient in Major Urban Watersheds in the United States, Environmental Research Letters, 8, 024020.
[23] Velpuri, N.M., and Senay, G. B., (2013) Ethiopia’s Gibe III Dam – its potential impact on Lake Turkana water levels, A Report of the Division of Early Warning and Assessment (DEWA) United Nations Environment Programme, Nairobi, April 2013, p. 46.
[22] Senay, G. B., Bohms, S., Singh, R.K., Gowda, P.H., Velpuri, N.M., Alemu, H., and Verdin, J., (2013) Operational evapotranspiration mapping using remote sensing and weather datasets: A new parameterization for the SSEB approach, Journal of American Water Resources Association, 2013.
[21] Velpuri, N.M., and Senay, G. B., (2012) Assessing the potential hydrological impact of the Gibe III Dam on Lake Turkana water level using multi-source satellite data, Hydrology and Earth System Sciences, 16, 3561–3578.
[20] Velpuri, N.M., Senay, G. B., and Asante K.O., (2012) A multi-source satellite data approach for modelling Lake Turkana water level: calibration and validation using satellite altimetry data, Hydrology and Earth System Sciences, 16:1-18.
[19] Velpuri, N.M., (2012) Satellite driven hydrological modeling of ungauged lakes and reservoirs: Applications in East Africa, Ph.D Dissertation, South Dakota States University, USA, May 2012.
[18] Gumma, M., Thenkabail, P.S., Muralikrishna, I.V., Velpuri, N.M., et al. (2011) Changes in Agricultural Cropland Areas between a water surplus year and water-deficit year impacting food security determined using MODIS 250m time-series data and spectral matching techniques in the Krishna River Basin (India), International Journal of Remote Sensing, 32:12, 3495-3520.
[17] Dheeravath, V., Thenkabail, P.S., Chandrakantha, G., Noojipady, P., Reddy, G.P.O., Biradar, C.M., Gumma, M.K. and Velpuri, N.M., 2010. Irrigated areas of India derived using MODIS 500 m time series for the years 2001–2003. ISPRS Journal of Photogrammetry and Remote Sensing, 65(1), pp.42-59.
[16] Gumma, M. K., Thenkabail, P. S., & Velpuri, N. M. (2009), Vegetation phenology to partition groundwater-from surface-water-irrigated areas using MODIS 250-m time-series data for the Krishna River basin. IAHS publication, 20, 271.
[15] Velpuri, N.M., Thenkabail, P.S., et al. (2009) Influence of Resolution in Irrigated Area Mapping and Area Estimations, Photogrammetric Engineering & Remote Sensing, Vol.75., No.12. 2009.
[14] Biradar, C.M., Thenkabail, P.S., Noojipady, P., Li, Y.J., Dheeravath, V., Velpuri, M., Turral, H., Cai, X.L., Gumma, M. and Gangalakunta, O.R.P., 2009. 15 Global Map of Rainfed Cropland Areas (GMRCA) and Statistics Using Remote Sensing. Remote Sensing of Global Croplands for Food Security, p.357.
[13] Thenkabail, P.S., Biradar, C M., Noojipady, P, Dheeravath, V, Li, Y, Velpuri, N.M., et al. (2009) Global irrigated area map (GIAM), derived from remote sensing, for the end of the last millennium, International Journal of Remote Sensing, 30:14, 3679- 3733.
[12] Thenkabail, P.S., Dheeravath, V., Biradar, C.M., Gangalakunta, O.R.P., Noojipady, P., Gurappa, C., Velpuri, M., Gumma, M. and Li, Y., 2009. Irrigated area maps and statistics of India using remote sensing and national statistics. Remote Sensing, 1(2), pp.50-67.
[11] Biradar, C.M., Thenkabail, P.S., Noojipady, P., Yuanjie, L., Dheeravath, V., Velpuri, N.M., et al. (2009) A global map of rain-fed cropland areas (GMRCA) using time series data from multiple satellite sensors, International Journal of Applied Earth Observation and Geoinformation, 11, 114-129.
[10] Li, Y.J., Thenkabail, P.S., Biradar, C.M., Noojipady, P., Dheeravath, V., Velpuri, N.M., Gangalakunta, O.R., Cai, X.L. (2009) A history of irrigated areas of the world, In the book entitled: “Remote Sensing of Global Croplands for Food Security” Pp. 475. June, 2009.
[9] Thenkabail. P.S., Biradar, C.M., Noojipady, P., Dheeravath, V., Gumma, M., Li, Y.J., Velpuri, N.M., Gangalakunta, O.R.P. (2009) Global irrigated area maps (GIAM) and statistics using remote sensing. Pp. 41-120. In the book entitled: “Remote Sensing of Global Croplands for Food Security” (CRC Press- Taylor and Francis group, Boca Raton, London, New York. Pp. 475. June, 2009.
[8] Gangalakunta, O.R.P., Dheeravath, V., Thenkabail, P.S., Chandrakantha, G., Biradar, C.M., Noojipady, P., Velpuri, N.M., and Kumar, M.A. (2009) Irrigated areas of India derived from satellite sensors and national statistics: A way forward from GIAM experience. Pp. 139-176. In the book entitled: “Remote Sensing of Global Croplands for Food Security” (CRC Press- Taylor and Francis group, Boca Raton, London, New York.
[7] Thenkabail, P.S., Biradar, C.M., Noojipady, P., Turral, H., Dheeravath, V., Velpuri, N.M., Reddy, G.P.O., Li, Y.J., Cai, X. L., Gumma, M., Schull, M., Vithanage, J., Pandey, S. and Dutta, R. (2008) A Global Irrigated Area Map (GIAM) Using Time-Series Satellite Sensor, Secondary, Google Earth, and Groundtruth Data. In the book Global Irrigated Area Maps, Statistics, and Methods (editors: Thenkabail, P.S., Turral. H., and Biradar, C.M.).
[6] Thenkabailc, P.S., Biradar, C.M., Noojipady, P., Cai, X., Dheeravath, V., Li, Y., Velpuri, M., Gumma, M. and Pandey, S., 2007. Sub-pixel area calculation methods for estimating irrigated areas. Sensors, 7(11), pp.2519-2538.
[5] Thenkabail P.S., Biradar C.M., Turral H., Noojipady, P., Li, Y.J., Vithanage, J., Dheeravath, V., Velpuri, N.M., Schull M., Cai, X. L., and Dutta, R., (2006) “An Irrigated area map of the world (1999) derived from Remote sensing”, IWMI Research Report – 105 (Peer-reviewed), International Water Management Institute.
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