References

1. S. Chowdhury, M. Al-Zahrani, Characterizing water resources and trends of sector wise water consumptions in Saudi Arabia, J. King Saud Univ. Eng. Sci., 27 (2015) 68–82.
2. W.A. Abderrahman, Water demand management in Saudi Arabia, Water Manage., 1 (2001) 61.
3. M. Ahmed, S. Al-Jabri, B. Choudri, M. Raouf, M. Luomi, Green Challenges and Some Technological Solutions in the Water Sector of the Gulf Cooperation Council Countries, The Green Economy in the Gulf, Routledge, Abingdon, 2015, p. 123.
4. K.H. Al-Zahrani, Water demand management in the Kingdom of Saudi Arabia, in Conference of the International Journal of Arts & Sciences, 2010.
5. K.H. Al-Zahrani, M.B. Baig, Water in the Kingdom of Saudi Arabia: sustainable management options, J. Anim. Plant Sci., 21 (2011) 601–604.
6. M. Elhag, J.A. Bahrawi, Conservational use of remote sensing techniques for a novel rainwater harvesting in arid environment, Environ. Earth Sci., 72 (2014) 4995–5005.
7. M. Elhag, J.A. Bahrawi, Potential rainwater harvesting improvement using advanced remote sensing applications, Sci. World J., 2014 (2014) 1–8.
8. J.M. Bradd, W.A. Milne-Home, G. Gates, Overview of factors leading to dryland salinity and its potential hazard in New South Wales, Australia, Hydrogeol. J., 5 (1997) 51–67.
9. E. Houk, M. Frasier, E. Schuck, The agricultural impacts of irrigation induced waterlogging and soil salinity in the Arkansas Basin, Agric. Water Manage., 85 (2006) 175–183.
10. M. Elhag, Evaluation of different soil salinity mapping using remote sensing techniques in arid ecosystems, Saudi Arabia, J. Sens., 2016 (2016) 1–8.
11. R. Jones, G. Marshall, Land salinisation, waterlogging and the agricultural benefits of a surface drainage scheme in Benerembah irrigation district, Rev. Market. Agric. Econ., 60 (1992) 173–189.
12. D. Williamson, Land Degradation Processes and Water Quality Effects, Water Logging and Salinity, Farming Action-Catchment Reaction, the Effect of Dry-Land Farming on the Natural Environment, CSIRO Publishing, Collingwood, VIC, 1998, pp. 162–190.
13. S. Abdel‐Dayem, S. Abdel‐Gawad, H. Fahmy, Drainage in Egypt: a story of determination, continuity, and success, Irrig. Drain., 56 (2007) S101–S111.
14. M. Elhag, J.A. Bahrawi, Realization of daily evapotranspiration in arid ecosystems based on remote sensing techniques, Geosci. Instrum. Methods Data Syst., 6 (2017) 141.
15. L. Montandon, E. Small, The impact of soil reflectance on the quantification of the green vegetation fraction from NDVI, Remote Sens. Environ., 112 (2008) 1835–1845.
16. B.D. Wardlow, S.L. Egbert, Large-area crop mapping using time-series MODIS 250 m NDVI data: an assessment for the US Central Great Plains, Remote Sens. Environ., 112 (2008) 1096–1116.
17. Z. Yang, J. Gao, C. Zhou, P. Shi, L. Zhao, W. Shen, H. Ouyang, Spatio-temporal changes of NDVI and its relation with climatic variables in the source regions of the Yangtze and Yellow rivers, J. Geog. Sci., 21 (2011) 979–993.
18. A.E.K. Douaoui, H. Nicolas, C. Walter, Detecting salinity hazards within a semiarid context by means of combining soil and remote-sensing data, Geoderma, 134 (2006) 217–230.
19. G. Jiapaer, X. Chen, A. Bao, A comparison of methods for estimating fractional vegetation cover in arid regions, Agric. For. Meteorol., 151 (2011) 1698–1710.
20. B. Rao, R. Dwivedi, L. Venkataratnam, T. Ravishankar, S. Thammappa, G. Bhargawa, A. Singh, Mapping the magnitude of sodicity in part of the Indo-Gangetic plains of Uttar Pradesh, Northern India using Landsat-TM data, Int. J. Remote Sens., 12 (1991) 419–425.
21. A. Srivastava, N. Tripathi, K. Gokhale, Mapping groundwater salinity using IRS-1B LISS II data and GIS techniques, Int. J. Remote Sens., 18 (1997) 2853–2862.
22. R. Dwivedi, K. Sreenivas, Delineation of salt-affected soils and waterlogged areas in the Indo-Gangetic plains using IRS-1C LISS-III data, Int. J. Remote Sens., 19 (1998) 2739–2751.
23. A. Psilovikos, M. Elhag, Forecasting of remotely sensed daily evapotranspiration data over Nile Delta region, Egypt, Water Resour. Manage., 27 (2013) 4115–4130.
24. R.S. Lunetta, J. Ediriwickrema, D.M. Johnson, J.G. Lyon, A. McKerrow, Impacts of vegetation dynamics on the identification of land-cover change in a biologically complex community in North Carolina, USA, Remote Sens. Environ., 82 (2002) 258–270.
25. X. Zhan, R. Sohlberg, J. Townshend, C. DiMiceli, M. Carroll, J. Eastman, M. Hansen, R. DeFries, Detection of land cover changes using MODIS 250 m data, Remote Sens. Environ., 83 (2002) 336–350.
26. D. Major, F. Baret, G. Guyot, A ratio vegetation index adjusted for soil brightness, Int. J. Remote Sens., 11 (1990) 727–740.
27. M. Elhag, Remotely sensed vegetation indices and spatial decision support system for better water consumption Regime in Nile Delta. A case study for rice cultivation suitability map, Life Sci. J., 11 (2014) 201–209.
28. N. Gobron, B. Pinty, M.M. Verstraete, J.-L. Widlowski, Advanced vegetation indices optimized for up-coming sensors: design, performance, and applications, IEEE Trans. Geosci. Remote Sens., 38 (2000) 2489–2505.
29. F. Baret, O. Hagolle, B. Geiger, P. Bicheron, B. Miras, M. Huc, B. Berthelot, F. Niño, M. Weiss, O. Samain, LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION: Part 1: principles of the algorithm, Remote Sens. Environ., 110 (2007) 275–286.
30. I. McCallum, W. Wagner, C. Schmullius, A. Shvidenko, M. Obersteiner, S. Fritz, S. Nilsson, Comparison of four global FAPAR datasets over Northern Eurasia for the year 2000, Remote Sens. Environ.,. 114 (2010) 941–949.
31. N. Gobron, O. Aussedat, B. Pinty, MODerate Resolution Imaging Spectroradiometer, JRC-FAPAR Algorithm Theoretical Basis Document, EUR Report No. 22164 EN, 2006.
32. N. Gobron, B. Pinty, O. Aussedat, M. Taberner, O. Faber, F. Mélin, T. Lavergne, M. Robustelli, P. Snoeij, Uncertainty estimates for the FAPAR operational products derived from MERIS—impact of top-of-atmosphere radiance uncertainties and validation with field data, Remote Sens. Environ., 112 (2008) 1871–1883.
33. N. Gobron, B. Pinty, M. Verstraete, M. Taberneret, VEGETATION, An optimized FAPAR Algorithm Theoretical Basis Document, Publications Office of the European Union, Luxembourg, UK, JRC Publications, Europe, Vol. 20146, 2002.
34. J. Hu, Y. Su, B. Tan, D. Huang, W. Yang, M. Schull, M.A. Bull, J.V. Martonchik, D.J. Diner, Y. Knyazikhin, Analysis of the MISR LAI/FPAR product for spatial and temporal coverage, accuracy and consistency, Remote Sens. Environ., 107 (2007) 334–347.
35. K. Huemmrich, J. Privette, M. Mukelabai, R. Myneni, Y. Knyazikhin, Time‐series validation of MODIS land biophysical products in a Kalahari woodland, Africa, Int. J. Remote Sens., 26 (2005) 4381–4398.
36. M. Jung, M. Verstraete, N. Gobron, M. Reichstein, D. Papale, A. Bondeau, M. Robustelli, B. Pinty, Diagnostic assessment of European gross primary production, Global Change Biol., 14 (2008) 2349–2364.
37. M. Elhag, J. Bahrawi, Cloud coverage disruption for groundwater recharge improvement using remote sensing techniques in Asir Region Saudi Arabia, Life Sci. J., 11 (2014) 192–200.
38. R.J. Shaw, Estimation of the Electrical Conductivity of Saturation Extracts from the Electrical Conductivity of 1:5 soil: Water Suspensions and Various Soil Properties, Department of Primary Industries Queensland, 1994.
39. M. Elhag, J.A. Bahrawi, Soil salinity mapping and hydrological drought indices assessment in arid environments based on remote sensing techniques, Geosci. Instrum. Methods Data Syst., 6 (2017) 149.
40. P.S. Chavez, Image-based atmospheric corrections-revisited and improved, Photogramm. Eng. Remote Sens., 62 (1996) 1025–1035.
41. U. Beisl, J. Telaar, M. Schönermark, Atmospheric correction, reflectance calibration and BRDF correction for ADS40 image data, Int. Arch. Photogramm. Remote Sens. Spat. Info. Sci., 37 (2008) 7–12.
42. J. Huot, M. Rast, S. Delwart, J. Bezy, G. Levrini, H. Tait, The optical imaging instruments and their applications: AATSR and MERIS, ESA Bull., 106 (2001) 56–66.
43. B. Pinty, T. Lavergne, M. Voßbeck, T. Kaminski, O. Aussedat, R. Giering, N. Gobron, M. Taberner, M. Verstraete, J.L. Widlowski, Retrieving surface parameters for climate models from moderate resolution imaging spectroradiometer (MODIS)‐multiangle imaging spectroradiometer (MISR) albedo products, J. Geophys. Res. Atmos., 112 (2007) (D10).
44. N. Gobron, B. Pinty, M.M. Verstraete, Y. Govaerts, A semidiscrete model for the scattering of light by vegetation, J. Geophys. Res. Atmos., 102 (1997) 9431–9446.
45. E.F. Vermote, D. Tanré, J.L. Deuze, M. Herman, J.-J. Morcette, Second simulation of the satellite signal in the solar spectrum, 6S: an overview, IEEE Trans. Geosci. Remote Sens., 35 (1997) 675–686.
46. H. Rahman, B. Pinty, M.M. Verstraete, Coupled surfaceatmosphere reflectance (CSAR) model: 2. Semiempirical surface model usable with NOAA advanced very high resolution radiometer data, J. Geophys. Res. Atmos., 98 (1993) 20791–20801.
47. N. Gobron, B. Pinty, M. Verstraete, M. Taberner, Global Land Imager (GLI) An optimized FAPAR Algorithm Theoretical Basis Document, Joint Research Centre, Institute for Environment and Sustainability, Publication no.: EUR 20147 EN, 2002.
48. T.J. Hastie, R.J. Tibshirani, Generalized Additive Models, CRC Press, Florida, USA, 43 (1990).
49. J. Chambers, W. Cleveland, B. Kleiner, P. Tukey, Graphical Methods for Data Analysis, Duxbury Press, Massachusetts, USA, Boston, 1983.
50. W. Press, S. Teukolsky, W. Vetterling, B. Flannery, Numerical Recipes, Cambridge University Press, New York, NY, 1992.
51. E.A. McBean, F.A. Rovers, Statistical Procedures for Analysis of Environmental Monitoring Data and Risk Assessment, Prentice Hall PTR, New Jersey, USA, 1998.
52. J.C. Hsu, Constrained simultaneous confidence intervals for multiple comparisons with the best, Ann. Stat., 12 (1984) 1136–1144.
53. T. Anderson, An Introduction to Multivariate Statistical Analysis, Wiley, NY, 1984.
54. R. Congalton, R.A. Mead, A quantitative method to test for consistency and correctness in photointerpretation, Photogramm. Eng. Remote Sens., 49 (1983) 69–74.
55. N. Gobron, B. Pinty, O. Aussedat, J. Chen, W.B. Cohen, R. Fensholt, V. Gond, K.F. Huemmrich, T. Lavergne, F. Mélin, Evaluation FAPAR products for different canopy radiation transfer regimes: methodology and results using JRC products derived from SeaWiFS against ground-based estimations, J. Geophys. Res., 111 (2006) p. D13110.
56. G.F. Jenks, Generalization in statistical mapping, Ann. Assoc. Am. Geogr., 53 (1963) 15–26.
57. F. Konukcu, J. Gowing, D. Rose, Dry drainage: a sustainable solution to waterlogging and salinity problems in irrigation areas?, Agric. Water Manage., 83 (2006) 1–12.
58. B. Jiang, Head/tail breaks: a new classification scheme for data with a heavy-tailed distribution, Prof. Geogr., 65 (2013) 482–494.
59. T. Chai, R.R. Draxler, Root mean square error (RMSE) or mean absolute error (MAE)? – arguments against avoiding RMSE in the literature, Geosci. Model Dev., 7 (2014) 1247–1250.