Utilization of Remote Sensing and GIS Techniques for Diagnosing Irrigation Water Resources: A Review

Zainab Fakhri Merzah¹, Sokina Fakhry² and Hussein Sabah Jaber³*

¹Institute of Laser for Postgraduate Studies, University of Baghdad, Baghdad, Iraq
²Al Furat Intermediate School for Girls, Ministry of Education, Babylon, Iraq
³Assistant Professor, Department of Surveying Engineering, University of Baghdad, Iraq

*Corresponding Author: Hussein Sabah Jaber, Assistant Professor, Department of Surveying Engineering, University of Baghdad, Iraq.

Received: April 11, 2022; Published: June 20, 2022

Abstract

Irrigation has the largest share of water exploitation. Therefore, it is vital to access the irrigation performance in any region of the world. Furthermore, estimation of the evapotranspiration and evaluation of the Irrigation performance by using the traditional methods represented by the field measurements is very difficult. The integrated monitoring, diagnosing and assessment of the irrigation systems required the use of effective tools that enable the decision makers to study large area and analyses large number of the variables that concerns the processes of monitoring and assessment.

The remote sensing and GIS techniques are considered as an efficient technique that can be used for achieving such works. This paper reviews main topics directly related to diagnose irrigation water resources in Iraq using remote sensing and GIS techniques. It reviews and discusses the previous studies on diagnosing water resources using remote sensing and GIS. Also, it presents and synthesizes the methods and approaches used for estimation of evapotranspiration (ET) from remote sensing data and identifies the advantages and disadvantages of the previous studies on the evaluation of performance of irrigation systems. More ever, it reviews the important studies on rainfall-runoff modelling using GIS technique.

Keywords:Remote Sensing; GIS; Irrigation Performance; SEBAL; Evapotranspiration

References

1. Shiklomanov IA. “Appraisal and assessment of world water resources”. Water International 1 (2000): 11-32.
2. Acharya S., et al. “Use of geographic information systems in irrigation management: a review”. Journal of Indian Water Resources Society 2 (2014).
3. King DA., et al. “Estimation of potential evapotranspiration from extraterrestrial radiation, air temperature and humidity to assess future climate change effects on the vegetation of the Northern Great Plains, USA”. Ecological Modelling 297 (2015): 86-97.‏
4. Yang G., et al. “Optimization of the irrigation water resources for Shijin irrigation district in north China”. Agricultural Water Management 158 (2015): 82-98.‏
5. Diamond MG and Melesse AM. “Water resources assessment and geographic information system (GIS)-based stormwater runoff estimates for artificial recharge of freshwater aquifers in New Providence, Bahamas”. InLandscape Dynamics, Soils and Hydrological Processes in Varied Climates. Springer International Publishing (2016): 411-434.‏
6. Ahmad MUD., et al. “Diagnosing irrigation performance and water productivity through satellite remote sensing and secondary data in a large irrigation system of Pakistan”. Agricultural Water Management 96.4 (2009): 551-564.
7. De Winnaar G., et al. “A GIS-based approach for identifying potential runoff harvesting sites in the Thukela River basin, South Africa”. Physics and Chemistry of the Earth, Parts A/B/C 32.15 (2007): 1058-1067.
8. Batelaan O and De Smedt F. “GIS-based recharge estimation by coupling surface–subsurface water balances”. Journal of Hydrology 3 (2007): 337-355.
9. Isaev V and Mikhailova M. “The hydrography, evolution, and hydrological regime of the mouth area of the Shatt al-Arab River”. Water Resources 36.4 (2009): 380-395.
10. Ines AV., et al. “Combining remote sensing-simulation modeling and genetic algorithm optimization to explore water management options in irrigated agriculture”. Agricultural Water Management 83.3 (2006): 221-232.
11. Ali M. “GIS in Irrigation and Water Management”. Practices of Irrigation and On-farm Water Management 2 (2011): 423-432.
12. Van Dijk A and Renzullo LJ. “Water resource monitoring systems and the role of satellite observations”. Hydrology and Earth System Sciences 15.1 (2011): 39-55.
13. Guermazi E., et al. “Water irrigation management using remote sensing techniques: a case study in Central Tunisia”. Environmental Earth Sciences 75.3 (2016): 1-14.
14. Buyukcangaz H and Korukcu A. “Integrated approach for water resources and irrigation management in Turkey”. Water International 32.S1 (2007): 710-719.
15. Kirpich PZ., et al. “Problems of irrigation in developing countries”. Journal of Irrigation and Drainage Engineering 125.1 (1999): 1-6.
16. Tibor GJ., et al. “Problems of Irrigation in Developing Countries”. Journal of Irrigation and Drainage Engineering 126.3 (2000): 195-202.
17. Nouri H., et al. “Remote sensing techniques for predicting evapotranspiration from mixed vegetated surfaces”. Hydrology and Earth System Sciences Discussions 10.3 (2013): 3897-3925.
18. Gibson L., et al. “Estimating evapotranspiration using remote sensing and the Surface Energy Balance System-A South African perspective”. Water Sa 4 (2013): 00-00.
19. Bastiaanssen W., et al. “SEBAL model with remotely sensed data to improve water-resources management under actual field conditions”. Journal of irrigation and drainage engineering (2005).
20. Zhang X and Wu H. “Sensitivity analysis of the sunshine duration parameters in SEBAL model for estimating winter wheat evapotranspiration”. Paper presented at the Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International (2011).
21. Papadavid G., et al. “A modified SEBAL modeling approach for estimating crop evapotranspiration in semi-arid conditions”. Water Resources Management 27.9 (2013): 3493-3506.
22. Paiva CM., et al. “A comparison of experimental energy balance components data and SEBAL model results in Dourados, Brazil”. International Journal of Remote Sensing 32.6 (2011): 1731-1745.
23. Bhattarai N., et al. “Validation of evaporation estimates from a modified surface energy balance algorithm for land (SEBAL) model in the south-eastern United States”. Remote Sensing Letters 3.6 (2012): 511-519.
24. Ma W., et al. “Evaluation of SEBS for estimation of actual evapotranspiration using ASTER satellite data for irrigation areas of Australia”. Theoretical and Applied Climatology 112.3-4 (2013): 609-616.
25. González-Dugo M., et al. “Monitoring evapotranspiration of irrigated crops using crop coefficients derived from time series of satellite images. II. Application on basin scale”. Agricultural Water Management 125 (2013): 92-104.
26. Lian J and HuangM. “Evapotranspiration Estimation for an Oasis Area in the Heihe River Basin Using Landsat-8 Images and the METRIC Model”. Water Resources Management 14 (2015): 5157-5170.
27. Singh RK., et al. “Estimating seasonal evapotranspiration from temporal satellite images”. Irrigation Science 30.4 (2012): 303-313.
28. Santos C., et al. “Aerodynamic parameterization of the satellite-based energy balance (METRIC) model for ET estimation in rainfed olive orchards of Andalusia, Spain”. Water Resources Management 26.11 (2012): 3267-3283.
29. Allen RG., et al. “Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)-Model”. Journal of Irrigation and Drainage Engineering 133.4 (2007): 380-394.
30. Bastiaanssen W., et al. “A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation”. Journal of Hydrology 212 (1998): 198-212.
31. Merchán D., et al. “Assessment of a newly implemented irrigated area (Lerma Basin, Spain) over a 10-year period. I: Water balances and irrigation performance”. Agricultural Water Management 158 (2015): 277-287.
32. Bashir M., et al. “Remote Sensing for Assessing Water Management and Irrigation Performance in the Arid Environment of the Gezira Scheme, Sudan”. Journal of Environmental Science and Engineering 3 (2011).
33. Karatas BS., et al. “Using satellite remote sensing to assess irrigation performance in Water User Associations in the Lower Gediz Basin, Turkey”. Agricultural Water Management 6 (2009): 982-990.
34. Ghahroodi EM., et al. “Performance evaluation study and hydrologic and productive analysis of irrigation systems at the Qazvin irrigation network (Iran)”. Agricultural Water Management 148 (2015): 189-195.
35. Awan UK., et al. “Remote sensing and hydrological measurements for irrigation performance assessments in a water user association in the lower Amu Darya River Basin”. Water Resources Management 25.10 (2011): 2467-2485.
36. Kumar KA., et al. “Irrigation Performance Assessment of Left Bank Canal, Nagarjuna Sagar Project, India During Rabi Using Remote Sensing and GIS”. Agrotechnology 122 (2014): 2.
37. Al Zayed IS., et al. “Spatio-temporal performance of large-scale Gezira Irrigation Scheme, Sudan”. Agricultural Systems 133 (2015): 131-142.
38. Usman M., et al. “Spatio-temporal estimation of consumptive water use for assessment of irrigation system performance and management of water resources in irrigated Indus Basin, Pakistan”. Journal of Hydrology 525 (2015): 26-41.
39. Conrad C., et al. “Remote sensing and hydrological measurement based irrigation performance assessments in the upper Amu Darya Delta, Central Asia”. Physics and Chemistry of the Earth, Parts A/B/C 61 (2013): 52-62.
40. Santos C., et al. “Performance assessment of an irrigation scheme using indicators determined with remote sensing techniques”. Irrigation Science 6 (2010): 461-477.
41. Kharrou MH., et al. “Assessment of equity and adequacy of water delivery in irrigation systems using remote sensing-based indicators in semi-arid region, Morocco”. Water Resources Management 27.13 (2013): 4697-4714.
42. Zwart SJ and Leclert LM. “A remote sensing-based irrigation performance assessment: a case study of the Office du Niger in Mali”. Irrigation Science 5 (2015): 371-385.
43. Alexandridis T., et al. “Combining remotely sensed surface energy fluxes and GIS analysis of groundwater parameters for irrigation system assessment”. Irrigation Science 32.2 (2014): 127-140.
44. Lecina S., et al. “Irrigation evaluation based on performance analysis and water accounting at the Bear River Irrigation Project (USA)”. Agricultural Water Management 9 (2011): 1349-1363.
45. Deshmukh DS., et al. “Estimation and comparision of curve numbers based on dynamic land use land cover change, observed rainfall-runoff data and land slope”. Journal of Hydrology 492 (2013): 89-101.
46. Melesse AM and Shih S. “Spatially distributed storm runoff depth estimation using Landsat images and GIS”. Computers and Electronics in Agriculture 1 (2002): 173-183.
47. Mahmoud SH. “Investigation of rainfall-runoff modeling for Egypt by using remote sensing and GIS integration”. Catena 120 (2014): 111-121.
48. Napoli M., et al. “Determining potential rainwater harvesting sites using a continuous runoff potential accounting procedure and GIS techniques in central Italy”. Agricultural Water Management 141 (2014): 55-65.
49. Gitika T and Ranjan S. “Estimation of Surface Runoff using NRCS Curve number procedure in Buriganga Watershed, Assam, India-A Geospatial Approach”. International Research Journal of Earth Sciences5 (2014): 1-7.
50. Gökbulak F., et al. “Comparison of Rainfall-Runoff Relationship Modeling using Different Methods in a Forested Watershed”. Water Resources Management12 (2015): 4229-4239.
51. Kisi O., et al. “Modeling rainfall-runoff process using soft computing techniques”. Computers and Geosciences 51 (2013): 108-117.
52. Tayfur G and Brocca L. “Fuzzy Logic for Rainfall-Runoff Modelling Considering Soil Moisture”. Water Resources Management 29.10 (2015): 3519-3533.
53. Jain, MK., et al. “A GIS based distributed rainfall–runoff model”. Journal of Hydrology 299.1 (2004): 107-135.
54. Jiang Y., et al. “Rainfall-runoff modeling, parameter estimation and sensitivity analysis in a semiarid catchment”. Environmental Modelling and Software 67 (2015): 72-88.
55. Gad MA. “A useful automated rainfall-runoff model for engineering applications in semi-arid regions”. Computers and Geosciences 52 (2013): 443-452.
56. Boegh E., et al. “Remote sensing based evapotranspiration and runoff modeling of agricultural, forest and urban flux sites in Denmark: From field to macro-scale”. Journal of Hydrology 3 (2009): 300-316.
57. Rao KD., et al. “Improvement to the Thornthwaite method to study the runoff at a basin scale using temporal remote sensing data”. Water Resources Management 6 (2014): 1567-1578.
58. Sajikumar N and Remya R. “Impact of land cover and land use change on runoff characteristics”. Journal of Environmental Management 161 (2015): 460-468.
59. Taguas E., et al. “Modelling the Rainfall-Runoff Relationships in a Large Olive Orchard Catchment in Southern Spain”. Water Resources Management 7 (2015): 2361-2375.
60. Kato T., et al. “GIS analysis of conjunctive water resource use in Nganjuk district, east Java, Indonesia”. Paddy and Water Environment 1-4 (2013): 193-205.
61.  

Citation

Citation: Hussein Sabah Jaber., et al. “Utilization of Remote Sensing and GIS Techniques for Diagnosing Irrigation Water Resources: A Review". Acta Scientific Agriculture 6.7 (2022): 44-55.

Copyright

Copyright: © 2022 Hussein Sabah Jaber., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.