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Soil Salinity Mapping and Monitoring in Arid and Semi-Arid Regions Using Remote Sensing Technology: A Review

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DOI: 10.4236/ars.2013.24040    10,539 Downloads   20,091 Views   Citations

ABSTRACT

Soil salinity is a serious environmental problem especially in arid and semiarid areas. It either occurs naturally or is human-induced. High levels of soil salinity negatively affect crop growth and productivity leading land degradation ultimately. Thus, it is important to monitor and map soil salinity at an early stage to enact effective soil reclamation program that helps lessen or prevent future increase in soil salinity. Remote sensing has outperformed the traditional method for assessing soil salinity offering more informative and professional rapid assessment techniques for monitoring and mapping soil salinity. Soil salinity can be identified from remote sensing data obtained by different sensors by way of direct indicators that refer to salt features that are visible at the soil surface as well as indirect indicators such as the presence of halophytic plant and assessing the performance level of salt-tolerant crops. The purposes of this paper are to 1) discuss some soil salinity indicators; 2) review the satellite sensors and methods used for remote monitoring, detecting and mapping of soil salinity, particularly in arid and semi-arid regions; 3) review various spectral vegetation and salinity indices that have been developed and proposed for soil salinity detection and mapping, with an emphasis on soil salinity mapping and assessment in arid and semi-arid regions; and 4) highlight the most important issues limiting the use of remote sensing for soil salinity mapping, particularly in arid and semi-arid regions.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

A. Allbed and L. Kumar, "Soil Salinity Mapping and Monitoring in Arid and Semi-Arid Regions Using Remote Sensing Technology: A Review," Advances in Remote Sensing, Vol. 2 No. 4, 2013, pp. 373-385. doi: 10.4236/ars.2013.24040.

References

[1] L. Richards, “Diagnosis and Improvement of Saline and alkali Soils,” Soil Science, Vol. 78, No. 2, 1954, p. 154.
http://dx.doi.org/10.1097 /00010694-195408000-00012
[2] D. P. Shrestha and A. Farshad, “Chapter 13. Mapping Salinity Hazard: An Integrated Application of Remote Sensing and Modeling-Based Techniques,” In: G. Metternicht and J. A. Zinck, Eds., Remote Sensing of Soil Salinization: Impact on Land Management, CRC Press, Boca Raton, 2008, p. 257.
http://dx.doi.org/ 10.1201/9781420065039.pt3
[3] D. Hillel, “Salinity Management for Sustainable Irrigation: Integrating Science, Environment, and Economics,” World Bank Publications, Washington DC, 2000.
http://dx.doi.org/10.1596/0-8213-4773-X
[4] P. Koohafkan, “Water and Cereals in Drylands,” The Food and Agriculture Organization of the United Nations and Earthscan, Rome, 2012.
[5] ABS Australian Bureau of Statistics, “Salinity,” Canberra, 2002. http://www.abs.gov.au /ausstats /abs@.nsf/Lookup/by%20Subject/ 1370.0~2010~Chapter~Salinity%20(6.2.4.4)
[6] D. J. McFarlane, et al., “The Extent and Potential Area of Salt-Affected Land in Western Australia Estimated Using Remote Sensing and Digital Terrain Models,” Engineering Salinity Solutions: 1st National Salinity Engineering Conference 2004, Barton, 2004, pp. 55-60.
[7] J. K. Zhu, “Plant Salt Tolerance,” Trends in Plant Science, Vol. 6, No. 2, 2001, pp. 66-71.
http://dx.doi.org/10.1016/S1360-1385(00)01838-0
[8] D. Corwin and S. Lesch, “Application of Soil Electrical Conductivity to Precision Agriculture,” Agronomy Journal, Vol. 95, No. 3, 2003, pp. 455-471.
http://dx.doi.org/10.2134/agronj2003.0455
[9] J. Rhoades and J. Loveday, “Salinity in Irrigated Agriculture,” In: B. A. Stewart and D. R. Nielsen, Eds., American Society of Civil Engineers, Irrigation of Agricultural Crops, Vol. 30, Monograph, American Society of Agronomists, Madison, 1990, pp. 1089-1142.
[10] A. Naifer, et al., “Economic Impact of Salinity: The Case of Al-Batinah in Oman,” International Journal of Agricultural Research, Vol. 6, No. 2, 2011, pp. 134-142.
http://dx.doi.org/10.3923/ijar.2011.134.142
[11] P. Brunner, et al., “Generating Soil Electrical Conductivity Maps at Regional Level by Integrating Measurements on the Ground and Remote Sensing Data,” International Journal of Remote Sensing, Vol. 28, No. 15, 2007, pp. 3341-3361.
http://dx.doi.org/10.1080/01431160600928641
[12] D. Dent and A. Young, “Soil Survey and Land Evaluation,” George Allen & Unwin, Crows Nest, 1981.
[13] R. Dehaan and G. Taylor, “Field-Derived Spectra of Salinized Soils and Vegetation as Indicators of IrrigationInduced Soil Salinization,” Remote Sensing of Environment, Vol. 80, No. 3, 2002, pp. 406-417.
http://dx.doi.org/10.1016/S0034-4257(01)00321-2
[14] M. R. D. Nanni, “Spectral Reflectance Methodology in Comparison to Traditional Soil Analysis,” Soil Science Society of America Journal, Vol. 70, No. 2, 2006, pp. 393-407.
http://dx.doi.org/10.2136/sssaj2003.0285
[15] T. Ghabour and L. Daels, “Mapping and Monitoring of Soil Salinity of ISSN,” Egyptian Journal of Soil Science, Vol. 33, No. 4, 1993, pp. 355-370.
[16] P. Dale, et al., “Classification of Reflectance on Colour Infrared Aerial Photographs and Sub-Tropical Salt-Marsh Vegetation Types,” International Journal of Remote Sensing, Vol. 7, No. 12, 1986, pp. 1783-1788.
http://dx.doi.org/10.1080/01431168608948968
[17] J. Farifteh, “Imaging Spectroscopy of Salt-Affected Soils: Model-Based Integrated Method,” International Institute Geo-Information Science and Earth Observation (ITC) and Utrecht University, Utrecht, 2007.
[18] Y. Weng, et al., “Soil Salt Content Estimation in the Yellow River Delta with Satellite Hyperspectral Data,” Canadian Journal of Remote Sensing, Vol. 34, No. 3, 2008, pp. 259-270.
[19] S. Teggi, et al., “SPOT 5 Imagery for Soil Salinity Assessment in Iraq,” Proceedings of SPIE—Earth Resources and Environmental Remote Sensing/GIS Applications III, Vol. 8538, 2012, pp. 85380V-85380V-12.
[20] A. K. Koshal, “Spectral Characteristics of Soil Salinity Areas in Parts of South-West Punjab through Remote Sensing and GIS,” International Journal of Remote Sensing and GIS, Vol. 1, No. 2, 2012, pp. 84-89.
[21] A. Dehni and M. Lounis, “Remote Sensing Techniques for Salt Affected Soil Mapping: Application to the Oran Region of Algeria,” Procedia Engineering, Vol. 33, 2012, pp. 188-198.
http://dx.doi.org/10.1016/j.proeng.2012.01.1193
[22] R. Setia, et al., “Severity of Salinity Accurately Detected and Classified on a Paddock Scale with High Resolution Multispectral Satellite Imagery,” Land Degradation & Development, Vol. 24, No. 4, 2011, pp. 375-384.
[23] R. Dwivedi, et al., “5 Generation of Farm-Level Information on Salt-Affected Soils Using IKONOS-II Multispectral Data,” In: G. Metternicht and J. Zinck, Eds., Remote Sensing of Soil Salinization: Impact on Land Management, CRC Press, Boca Raton, 2008.
http://dx.doi.org/10.1201/9781420065039.ch5
[24] E. Weiss, et al., “Application of NOAA-AVHRR NDVI Time-Series Data to Assess Changes in Saudi Arabia’s Rangelands,” International Journal of Remote Sensing, Vol. 22, No. 6, 2001, pp. 1005-1027.
http://dx.doi.org/10.1080/014311601300074540
[25] D. R. Tilley, et al., “Hyperspectral Reflectance Response of Freshwater Macrophytes to Salinity in a Brackish Subtropical Marsh,” Journal of Environmental Quality, Vol. 36, No. 3, 2007, pp. 780-789.
http://dx.doi.org/10.2134/jeq2005.0327
[26] H. R. Matinfar, et al., “Detection of Soil Salinity Changes and Mapping Land Cover Types Based upon Remotely Sensed Data,” Arabian Journal of Geosciences, Vol. 6, No. 3, 2013, pp. 913-919.
[27] M. S. Alhammadi and E. P. Glenn, “Detecting Date Palm Trees Health and Vegetation Greenness Change on the Eastern Coast of the United Arab Emirates Using SAVI,” International Journal of Remote Sensing, Vol. 29, No. 6, 2008, pp. 1745-1765.
http://dx.doi.org/10.1080/01431160701395195
[28] F. Iqbal, “Detection of Salt Affected Soil in Rice-Wheat Area Using Satellite Image,” African Journal of Agricultural Research, Vol. 6, No. 21, 2011, pp. 4973-4982.
[29] T. T. Zhang, et al., “Using Hyperspectral Vegetation Indices as a Proxy to Monitor Soil Salinity,” Ecological Indicators, Vol. 11, No. 6, 2011, pp. 1552-1562.
[30] Y. Y. Aldakheel, “Assessing NDVI Spatial Pattern as Related to Irrigation and Soil Salinity Management in Al-Hassa Oasis, Saudi Arabia,” Journal of the Indian Society of Remote Sensing, Vol. 39, No. 2, 2011, pp. 171-180. http://dx.doi.org/10.1007/s12524-010-0057-z
[31] G. Metternicht and A. Zinck, “Remote Sensing of Soil Salinization: Impact on Land Management,” CRC Press, 2008. http://dx.doi.org/10.1201/9781420065039
[32] J. A. M. Demattê, et al., “Visible-NIR Reflectance: A New Approach on Soil Evaluation,” Geoderma, Vol. 121, No. 1-2, 2004, pp. 95-112.
http://dx.doi.org/10.1016/j.geoderma.2003.09.012
[33] D. J. Brown, et al., “Global Soil Characterization with VNIR Diffuse Reflectance Spectroscopy,” Geoderma, Vol. 132, No. 3, 2006, pp. 273-290.
http://dx.doi.org/10.1016/j.geoderma.2005.04.025
[34] M. Baumgardner, et al., “Reflectance Properties of Soils,” Advances in Agronomy, Vol. 38, 1985, pp. 2-44.
[35] S. De Jong, “The Analysis of Spectroscopical Data to Map Soil Types and Soil Crusts of Mediterranean Eroded Soils,” Soil technology, Vol. 5, No. 3, 1992, pp. 199-211.
http://dx.doi.org/10.1016/0933-3630(92)90022-S
[36] D. Shrestha, D. E. Margateb, F. van der Meera and H. V. Anhc, “Analysis and Classification of Hyperspectral Data for Mapping Land Degradation: An Application in Southern Spain,” International Journal of Applied Earth Observation and Geoinformation, Vol. 7, No. 2, 2005, pp. 85-96.
http://dx.doi.org/10.1016/j.jag.2005.01.001
[37] T. Schmid, M. Koch and J. Gumuzzio, “Application of Hyperspectral Imagery to Soil Salinity Mapping,” In: G. Metternicht and J. Zinck, Eds., Remote Sensing of Soil Salinization: Impact on Land Management, CRC Press, Boca Raton, 2008, pp. 113-137.
[38] D. S. G. Thomas, “Arid Zone Geomorphology: Process, Form and Change in Drylands,” John Wiley & Sons, Chichester, 2011.
[39] R. P. Singh and A. Sirohi, “Spectral Reflectance Properties of Different Types of Soil Surfaces,” ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 49, No. 4, 1994, pp. 34-40.
http://dx.doi.org/10.1016/0924-2716(94)90045-0
[40] B. R. M. Rao, R. C. Sharma, T. Ravi Sankar, S. N. Das, R. S. Dwivedi, S. S. Thammappa and L. Venkataratnam, “Spectral Behaviour of Salt-Affected Soils,” International Journal of Remote Sensing, Vol. 16, No. 12, 1995, pp. 2125-2136.
http://dx.doi.org/10.1080/01431169508954546
[41] G. Metternicht and J. A. Zinck, “Spatial Discrimination of Saltand Sodium-Affected Soil Surfaces,” International Journal of Remote Sensing, Vol. 18, No. 12, 1997, pp. 2571-2586.
[42] N. Fernandez-Buces, C. Siebe, S. Cram and J. L. Palacio, “Mapping Soil Salinity Using a Combined Spectral Response Index for Bare Soil and Vegetation: A Case Study in the Former Lake Texcoco, Mexico,” Journal of Arid Environments, Vol. 65, No. 4, 2006, pp. 644-667.
http://dx.doi.org/10.1016/j.jaridenv.2005.08.005
[43] E. P. Glenn, J. Jed Brown and E. Blumwald, “Salt Tolerance and Crop Potential of Halophytes,” Critical Reviews in Plant Sciences, Vol. 18, No. 2, 1999, pp. 227-255.
http://dx.doi.org/10.1016/S0735-2689(99)00388-3
[44] G. I. Metternicht, “Analyzing the Relationship between Ground Based Reflectance and Environment Indicators of Salinity Processes in the Cochabamba Valley (Bolivia),” International Journal of Ecology and Environmental Sciences, Vol. 24, No. 4, 1998, pp. 359-370.
[45] C. Wiegand, G. Anderson, S. Lingle and D. Escobar, “Soil Salinity Effects on Crop Growth and Yield-Illustration of an Analysis and Mapping Methodology for Sugarcane,” Journal of Plant Physiology, Vol. 148, No. 3-4, 1996, pp. 418-424.
http://dx.doi.org/10.1016/S0176-1617(96)80274-4
[46] C. Wiegand, J. D. Rhoades, D. E. Escobar and J. H. Everitt, “Photographic and Videographic Observations for Determining and Mapping the Response of Cotton to Soil Salinity,” Remote Sensing of Environment, Vol. 49, No. 3, 1994, pp. 212-223.
http://dx.doi.org/10.1016/0034-4257(94)90017-5
[47] D. B. Lobell, J. I. Ortiz-Monasterio, F. C. Gurrola and L. Valenzuela, “Identification of Saline Soils with Multiyear Remote Sensing of Crop Yields,” Soil Science Society of America Journal, Vol. 71, No. 3, 2007, pp. 777-783.
http://dx.doi.org/10.2136/sssaj2006.0306
[48] D. B. Lobell, S. M. Leschb, D. L. Corwinc, M. G. Ulmerd, K. A. Andersone, D. J. Pottsf, J. A. Doolittleg, M. R. Matosh and M. J. Baltes, “Regional-Scale Assessment of Soil Salinity in the Red River Valley Using Multi-Year MODIS EVI and NDVI,” Journal of Environmental Quality, Vol. 39, No. 1, 2010, pp. 35-41.
http://dx.doi.org/10.2134/jeq2009.0140
[49] R. S. Dwivedi, “Soil Resources Mapping: A Remote Sensing Perspective,” Remote Sensing Reviews, Vol. 20, No. 2, 2001, pp. 89-122.
http://dx.doi.org/10.1080/02757250109532430
[50] K. Verma, R. K. Saxena, A. K. Barthwal and S. N. Deshmukh, “Remote Sensing Technique for Mapping Salt Affected Soils,” International Journal of Remote Sensing, Vol. 15, No. 9, 1994, pp. 1901-1914.
http://dx.doi.org/10.1080/01431169408954215
[51] A. A. Elnaggar and J. S. Noller, “Application of RemoteSensing Data and Decision-Tree Analysis to Mapping SaltAffected Soils over Large Areas,” Remote Sensing, Vol. 2, No. 1, 2009, pp. 151-165.
http://dx.doi.org/10.3390/rs2010151
[52] R. Katawatin and W. Kotrapat, “Use of LANDSAT-7 ETM+ with Ancillary Data for Soil Salinity Mapping in Northeast Thailand,” Third International Conference on Experimental Mechanics and Third Conference of the Asian 2004, Sevilla, 3 June 2005, pp. 708-716.
[53] R. T. Mehrjardi, Sh. Mahmoodi, M. Taze and E. Sahebjalal, “Accuracy Assessment of Soil Salinity Map in Yazd-Ardakan Plain, Central Iran, Based on Land sat ETM+ Imagery,” American-Eurasian Journal of Agricultural & Environmental Sciences, Vol. 3, No. 5, 2008, pp. 708-712.
[54] R. Yu, T. X. Liu, Y. P. Xu, C. Zhu, Q’ Zhang, Z. Y. Qu, X. M. Liu and C. Y. Li, “Analysis of Salinization Dynamics by Remote Sensing in Hetao Irrigation District of North China,” Agricultural Water Management, Vol. 97, No. 12, 2010, pp. 1952-1960.
http://dx.doi.org/10.1016/j.agwat.2010.03.009
[55] A. E. K. Douaoui, H. Nicolasb and C. Walter, “Detecting Salinity Hazards within a Semiarid Context by Means of Combining Soil and Remote-Sensing Data,” Geoderma, Vol. 134, No. 1-2, 2006, pp. 217-230.
http://dx.doi.org/10.1016/j.geoderma.2005.10.009
[56] J. Farifteh, A. Farshad and R. J. George, “Assessing SaltAffected Soils Using Remote Sensing, Solute Modelling, and Geophysics,” Geoderma, Vol. 130, No. 3-4, 2006, pp. 191-206.
http://dx.doi.org/10.1016/j.geoderma.2005.02.003
[57] A. Eldeiry and L. A. Garcia, “Detecting Soil Salinity in Alfalfa Fields Using Spatial Modeling and Remote Sensing,” Soil Science Society of America Journal, Vol. 72, No. 1, 2008, pp. 201-211.
http://dx.doi.org/10.2136/sssaj2007.0013
[58] R. Goossens, M. el Badawi, T. Ghabour and M. de Dapper, “A Simulation Model to Monitor the Soil Salinity in Irrigated Arable Land in Arid Areas Based upon Remote Sensing and GIS,” EARSeL. Advances in Remote Sensing, Vol. 2, No. 3, 1993, pp. 165-171.
[59] I. Ahmed and H. H. Andrianasolo, “Comparative Assessment of Multisensor Data for Suitability in Study of the Soil Salinity Using Remote Sensing and GIS in the Fordwah Irrigation Division,” IEEE International Conference on Geoscience and Remote Sensing, Singapore, 3-8 August 1997, pp. 1627-1629.
http://dx.doi.org/10.1109/IGARSS.1997.608989
[60] S. K. Alavi Panah and R. Goossens, “Relationship between the Landsat TM, MSS Data and Soil Salinity,” Journal of Agricultural Science and Technology (JAST), Vol. 3, No. 2, 2001, pp. 21-31.
[61] R. Goossens, A. P. S. Kazem, M. De Dapper and O. Kissyar, “The Use of Thermal Band of Landsat TM for the Study of Soil Salinity in Iran (Ardakan Area) and Egypt (Ismailia Province),” International conference on Geoinformatics for Natural Resource Assessment, Monitoring and Management, Indian Institute of Remote Sensing, Dehradun, 3-11 March 1999, pp. 454-459.
[62] S. Y. Huang, Q. H. Liu, X. W. Li and Q. H. Liu, “Spectral Model of Soil Salinity in Xinjiang of China,” IEEE International Geoscience and Remote Sensing Symposium, Seoul, 25-29 July 2005, pp. 4458-4460.
[63] K. Navulur, “Multispectral Image Analysis Using the Object-Oriented Paradigm,” CRC Press, Boca Raton, 2006.
[64] A. Elhaddad and L. Garcia, “Detecting Soil Salinity Levels in Agricultural Lands Using Satellite Imagery,” Proceedings of the American Society for Photogrammetry and Remote Sensing Annual Conference, Reno, 2006.
[65] B. Spies and P. Woodgate, “Salinity Mapping Methods in the Australian Context,” Department of the Environment and Heritage, Canberra, 2005.
[66] S. Furby, et al., “Detecting and Monitoring Salt-Affected Land: A Report from the LWRRDC Project Detecting and Monitoring Changes in Land Condition through Time Using Remotely Sensed Data,” CSIRO, Division of Mathematics & Statistics, 1995.
[67] F. Howari, “The Use of Remote Sensing Data to Extract Information from Agricultural Land with Emphasis on Soil Salinity,” Australian Journal of Soil Research, Vol. 41, No. 7, 2003, pp. 1243-1253.
http://dx.doi.org/10.1071/SR03033
[68] D. Fraser and S. Joseph, “Mapping Soil Salinity in the Murray Valley (NSW) Using Satellite Imagery,” Proceeding of the 9th Australaian Remote Sensing and Photogrammetry Conference, Australia Causal Productions Sydney, Sydney, 1998.
[69] P. Hick and W. Russell, “Remote Sensing of Agricultural Salinity,” CSIRO, Division of Exploration Geoscience, Perth, 1987.
[70] R. P. Gupta, “Remote Sensing Geology,” Springer Verlag, New York, 2003.
[71] A. Dutkiewicz, “Evaluating Hyperspectral Imagery for Mapping the Surface Symptoms of Dryland Salinity,” The University of Adelaide, Adelaide, 2006.
[72] G. R. Taylor, B. A. Bennett, A. H. Mah and R. D. Hewson, “Spectral Properties of Salinised Land and Implications for Interpretation of 24 Channel Imaging Spectrometry,” Proceedings of the International Airborne Remote Sensing Conference and Exhibition, Taylor & Francis Strasbourg, France, 1994, pp. 504-513.
[73] R. L. Dehaan and G. R. Taylor, “Field-Derived Spectra of Salinized Soils and Vegetation as Indicators of Irrigation-Induced Soil Salinization,” Remote Sensing of Environment, Vol. 80, No. 3, 2002, pp. 406-417.
http://dx.doi.org/10.1016/S0034-4257(01)00321-2
[74] R. Dehaan and G. R. Taylor, “Image-Derived Spectral Endmembers as Indicators of Salinisation,” International Journal of Remote Sensing, Vol. 24, No. 4, 2003, pp. 775-794.
http://dx.doi.org/10.1080/01431160110107635
[75] J. Farifteh, F. Van der Meera, C. Atzbergerb and E. J. M. Carranzaa, “Quantitative Analysis of Salt-Affected Soil Reflectance Spectra: A Comparison of Two Adaptive Methods (PLSR and ANN),” Remote Sensing of Environment, Vol. 110, No. 1, 2007, pp. 59-78.
http://dx.doi.org/10.1016/j.rse.2007.02.005
[76] G. Metternicht and A. Zinck, “Remote Sensing of Soil Salinization: Impact on Land Management,” CRC Press, Taylor and Francis Publisher, Boca Raton, 2008.
[77] O. Satir, S. Berberoglu, S. Kapur, T. Nagano, E. Akca, M. A. Erdogan, C. Donmez, N. Yonca Satir and K. Tanaka, “Soil Salinity Mapping Using Chris-Proba Hyperspectral Data,” Proceedings of Hyperspectral Workshop 2010, Frascati, 17-19 March 2010, 8p.
[78] S. Hamzeh, A. A. Naseri, S. K. Alavi Panah, B. Mojaradi, H. M. Bartholomeus and M. Herold, “Mapping Salinity Stress in Sugarcane Fields with Hyperspecteral Satellite Imagery,” Proceedings SPIE 8531, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV, Edinburgh, 24 September 2012, pp. 85312B-1.
[79] M. T. Jabbar and X. Chen, “Land Degradation Due to Salinization in Arid and Semi-Arid Regions with the Aid of Geo-Information Techniques,” Geo-Spatial Information Science, Vol. 11, No. 2, 2008, pp. 112-120.
http://dx.doi.org/10.1007/s11806-008-0013-z
[80] D. Wang, J. A. Poss, T. J. Donovan, M. C. Shannon and S. M. Lesch, “Biophysical Properties and Biomass Production of Elephant Grass under Saline Conditions,” Journal of Arid Environments, Vol. 52, No. 4, 2002, pp. 447-456. http://dx.doi.org/10.1006/jare.2002.1016
[81] D. Lobell, S. M. Lesch, D. L. Corwin, M. G. Ulmer, K. A. Anderson, D. J. Potts, J. A. Doolittle, M. R. Matos and M. J. Baltes “Regional-Scale Assessment of Soil Salinity in the Red River Valley Using Multi-Year MODIS EVI and NDVI,” Journal of Environmental Quality, Vol. 39, No. 1, 2010, pp. 35-41.
http://dx.doi.org/10.2134/jeq2009.0140
[82] D. Deering and J. Rouse, “Measuring ‘Forage Production’ of Grazing Units from Landsat MSS Data,” 10th International Symposium on Remote Sensing of Environment, ERIM, Ann Arbor, 1975, pp. 1169-1178.
[83] M. E. Pérez González, M. del Pilar García Rodríguez, V. González-Quiñones and R. Jiménez Ballesta, “Spatial Variability of Soil Quality in the Surroundings of a Saline Lake Environment,” Environmental Geology, Vol. 51, No. 1, 2006, pp. 143-149.
http://dx.doi.org/10.1007/s00254-006-0317-y
[84] A. Bannari, A. M. Guedona, A. El-Hartib, F. Z. Cherkaouic and A. El-Ghmari, “Characterization of Slightly and Moderately Saline and Sodic Soils in Irrigated Agricultural Land using Simulated Data of Advanced Land Imaging (EO-1) Sensor,” Communications in Soil Science and Plant Analysis, Vol. 39, No. 19-20, 2008, pp. 2795-2811. http://dx.doi.org/10.1080/00103620802432717
[85] H. Q. Liu and A. Huete, “A Feedback Based Modification of the NDVI to Minimize Canopy Background and Atmospheric Noise,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 33, No. 2, 1995, pp. 457-465.
http://dx.doi.org/10.1109/36.377946
[86] D. Wang, C. Wilson and M. C. Shannon, “Interpretation of Salinity and Irrigation Effects on Soybean Canopy Reflectance in Visible and Near-Infrared Spectrum Domain,” International Journal of Remote Sensing, Vol. 23, No. 5, 2002, pp. 811-824.
http://dx.doi.org/10.1080/01431160110070717
[87] A. R. Huete, “A Soil-Adjusted Vegetation Index (SAVI),” Remote Sensing of Environment, Vol. 25, No. 3, 1988, pp. 295-309.
http://dx.doi.org/10.1016/0034-4257(88)90106-X
[88] M. S. Alhammadi, “Using QuickBird Satellite Images to Study the Salinity Effect on Date Palm Field,” International Congress Geotunis 2010, Tunis, 29 November-3 December 2010, pp. 1-6.
[89] A. K. Koshal, “Indices Based Salinity Areas Detection through Remote Sensing and GIS In Parts of South Waste Punjab,” 13th Annual International Conference and Exibition on Geospatial Information Technology and Applications, Gurgaon, 2010.
[90] A. Masoud and K. Koike, “Arid Land Salinization Detected by Remotely-Sensed Landcover Changes: A Case Study in the Siwa Region, NW Egypt,” Journal of Arid Environments, Vol. 66, No. 1, 2006, pp. 151-167.
http://dx.doi.org/10.1016/j.jaridenv.2005.10.011
[91] D. Major, F. Baret and G. Guyot, “A Ratio Vegetation Index Adjusted for Soil Brightness,” International Journal of Remote Sensing, Vol. 11, No. 5, 1990, pp. 727-740.
http://dx.doi.org/10.1080/01431169008955053
[92] N. M. Khan, V. V. Rastoskuev, Y. Sato and S. Shiozawa, “Assessment of Hydrosaline Land Degradation by Using a Simple Approach of Remote Sensing Indicators,” Agricultural Water Management, Vol. 77, No. 1, 2005, pp. 96-109. http://dx.doi.org/10.1016/j.agwat.2004.09.038
[93] A. Abbas and S. Khan, “Using Remote Sensing Techniques for Appraisal of Irrigated Soil Salinity,” In: L. Oxley and D. Kulasiri, Eds., International Congress on Modelling and Simulation (MODSIM), Modelling and Simulation Society of Australia and New Zealand, Brighton, 2007, pp. 2632-2638.
[94] A. Vidal, P. Maure, H. Durand and P. Strosser, “Remote Sensing Applied to Irrigation System Management: Example of Pakistan,” EURISY Colloquium: Satellite Observation for Sustainable Development in the Mediterranean Area, Paris, 1996, pp. 132-142.
[95] B. Vincent, A. Vidal, D. Tabbet, A. Baqri and M. Kuper, “Use of Satellite Remote Sensing for the Assessment of Water Logging or Salinity as an Indication of the Performance of Drained Systems,” 16th Congress on Irrigation and Drainage, Cairo, 15-22 September 1996, pp. 203-216.
[96] M. Bouaziz, J. Matschullat and R. Gloaguen, “Improved Remote Sensing Detection of Soil Salinity from a SemiArid Climate in Northeast Brazil,” Comptes Rendus Geoscience, Vol. 343, No. 11-12, 2011, pp. 795-803.
[97] X. Fan, B. Pedroli, G. Liu, Q. Liu, H. Liu and L. Shu, “Soil Salinity Development in the Yellow River Delta in Relation to Groundwater Dynamics,” Land Degradation & Development, Vol. 23, No. 2, 2012, pp.175-189.
[98] M. Sethi, D. S. Bundela, M. Sethi, K. Lal and S. K. Kamra, “Remote Sensing and Geographic Information System for Appraisal of Salt-Affected Soils in India,” Journal of Environmental Quality, Vol. 39, No. 1, 2010, pp. 5-15.
http://dx.doi.org/10.2134/jeq2009.0032
[99] T. J. Schmugge, W. P. Kustas, J. C. Ritchie, T. J. Jackson and A. Rango, “Remote Sensing in Hydrology,” Advances in Water Resources, Vol. 25, No. 8-12, 2002, pp. 1367-1385.
[100] O. Dewitte, A. Jones, H. Elbelrhiti, S. Horion and L. Montanarella, “Satellite Remote Sensing for Soil Mapping in Africa An Overview,” Progress in Physical Geography, Vol. 36, No. 4, 2012, pp. 514-538.
http://dx.doi.org/10.1177/0309133312446981
[101] H. A. Ghrefat, P. C. Goodell, B. E. Hubbard, R. P. Langford and R. E. Aldouri, “Modeling Grain Size Variations of Aeolian Gypsum Deposits at White Sands, New Mexico, Using AVIRIS Imagery,” Geomorphology, Vol. 88, No. 1-2, 2007, pp. 57-68.
http://dx.doi.org/10.1016/j.geomorph.2006.10.013
[102] A. L. Kaleita, L. F. Tian and M. C. Hirschi, “Relationship between Soil Moisture Content and Soil Surface Reflectance,” Transactions of the ASAE, Vol. 48, No. 5, 2005, pp. 1979-1986.
http://dx.doi.org/10.13031/2013.19990
[103] J. Ding, M.-C. WU and T. Tiyip, “Study on Soil Salinization Information in Arid Region Using Remote Sensing Technique,” Agricultural Sciences in China, Vol. 10, No. 3, 2011, pp. 404-411.
http://dx.doi.org/10.1016/S1671-2927(11)60019-9
[104] Y. Tashi, P. C. Chamard, M.-F. Courel, T. Tiyip, Y. Tuerxun and S. Drake, “The Recent Evolution of the Oasis Environment in the Taklimakan Desert, China,” In: Water and Sustainability in Arid Regions, Springer, Netherlands, 2010, pp. 51-74.
[105] V. Mulder, S. de Bruin, M. E. Schaepman and T. R. Mayr, “The Use of Remote Sensing in Soil and Terrain Mapping—A Review,” Geoderma, Vol. 162, No. 1-2, 2011, pp. 1-19.
http://dx.doi.org/10.1016/j.geoderma.2010.12.018
[106] B. Mougenot, M. Pouget and G. F. Epema, “Remote Sensing of Salt Affected Soils,” Remote Sensing Reviews, Vol. 7, No. 3-4, 1993, pp. 241-259.
http://dx.doi.org/10.1080/02757259309532180
[107] E. Cloutis, “Review Article Hyperspectral Geological Remote Sensing: Evaluation of Analytical Techniques,” International Journal of Remote Sensing, Vol. 17, No. 12, 1996, pp. 2215-2242.
[108] M. Sethi, G. S. Dasog, A. Van Lieshoutc and S. B. Salimathd, “Salinity Appraisal Using IRS Images in Shorapur Taluka, Upper Krishna Irrigation Project, Phase I, Gulbarga District, Karnataka, India,” International Journal of Remote Sensing, Vol. 27, No. 14, 2006, pp. 2917-2926.
http://dx.doi.org/10.1080/01431160500472062

  
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