Abstract
Remote sensing and GIS play a vital role in trend analysis over sodic land and use of alternative measures to minimize the time and cost in reclamation processes. Sodic land is the highly contaminated of salt having pH range of 9.5–10.5 and sodium percentage greater than 15% above which is caused by naturally and anthropogenic. In this study, Raebareli district has been taken as the study area for mapping and monitoring the change detection with respect to sodic lands. LISS III data are used for mapping sodic land in both years 1997 and 2012. The maximum likelihood algorithm method was used for area statistics of different categories of sodic land followed by integration of both the classification of satellite data of Rabi seasons. The Sodic land covers 28823.91 ha area in 1997, which is 8.80% of the total geographical area of the district. At present the total area of sodic lands have been decreased by 18483.60 ha, which covers 10340.31 ha area in 2012, which is 5.64% of the total geographical area of the district. The major changes have been reported mainly in terms of wastelands, fallow land and sodic land areas, which have been reported to decrease over the years.
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References
Ansari AA (2008) Soil profile studies during bioremediation of sodic soils through the application of organic amendments (vermiwash, tillage, green manure, mulch, earthworms and vermicompost). World J Agric Sci 4(5):550–553
Bhargava GP, Kumar R (2004) Genesis, characteristics and extent of sodic soils of the Indo-Gangetic Alluvial plain. In: Conference on sustainable management of sodic lands, Feb 9–14, 2004 UPCAR, Lucknow, India, pp 15–22
Cambardella CA, Elliott ET (1992) Particulate soil organic-matter changes across a grassland cultivation sequence. Soil Sci Soc Am J 56(3):777–783
Dehni A, Lounis M (2012) Remote sensing techniques for salt affected soil mapping: application to the Oran region of Algeria. Procedia Eng 33:188–198
Herrero J, Pérez-Coveta O (2005) Soil salinity changes over 24 years in a Mediterranean irrigated district. Geoderma 125(3):287–308
Liu H, Zhou Q (2004) Accuracy analysis of remote sensing change detection by rule-based rationality evaluation with post-classification comparison. Int J Remote Sens 25(5):1037–1050
Metternicht GI, Zinck JA (2003) Remote sensing of soil salinity: potentials and constraints. Remote Sens Environ 85(1):1–20
Mouat DA, Mahin GG, Lancaster J (1993) Remote sensing techniques in the analysis of change detection. Geocarto Int 8(2):39–50
Nelson PN, Oades JM (1998) Organic matter, sodicity and soil structure
Olang LO, Fürst J (2011) Effects of land cover change on flood peak discharges and runoff volumes: model estimates for the Nyando River Basin, Kenya. Hydrol Processes 25(1):80–89
Rai PK, Gupta S, Mishra A, Onagh M (2011) Multi-seasonal IRS-1c LISS III satellite data for change detection analysis and accuracy assessement: a case study. J GIS Trends 2(1):13–19
Rengasamy P, Olsson KA (1991) Sodicity and soil structure. Soil Res 29(6):935–952
Shu-wen CJJZ, Jun-mei CJT (2003) Soil salinization detection with remote sensing and dynamic analysis in DaQing City. J Arid Land Resour Environ 4:018
Sujatha G, Dwivedi RS, Sreenivas K, Venkataratnam L (2000) Mapping and monitoring of degraded lands in part of Jaunpur district of Uttar Pradesh using temporal spaceborne multispectral data. Int J Remote Sens 21(3):519–531
Suarez DL, Rhoades JD, Lavado R, Grieve CM (1984) Effect of pH on saturated hydraulic conductivity and soil dispersion. Soil Sci Soc Am J 48(1):50–55
Vink APA (1964) Some thoughts of photo interpretation publication of the international institute for aerial survey and earth resources, Netherlands
Washington-Allen RA, Ramsey RD, Norton BE, West NE (1998) Change detection of the effect of severe drought on subsistence agropastoral communities on the Bolivian Altiplano. Int J Remote Sens 19(7):1319–1333
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Ahmad, A., Upadhyay, R.K., Lal, B., Singh, D. (2018). Change Detection of Sodic Land in Raebareli District Using Remote Sensing and GIS Techniques. In: Singh, V., Yadav, S., Yadava, R. (eds) Environmental Pollution. Water Science and Technology Library, vol 77. Springer, Singapore. https://doi.org/10.1007/978-981-10-5792-2_39
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DOI: https://doi.org/10.1007/978-981-10-5792-2_39
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