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Application of Remote Sensing and GIS on soil erosion assessment at Bata River Basin, India


Conclusions
Annual average soil loss for the Bata river basin is 40.12 tones/ha and barren lands are contributing much for this soil loss (215.81 tones/ha/year).

Wheat / Paddy and Sugarcane covers mainly flat land on lower elevations yielding a soil loss of 22.1 - 31.17 tones/ha/year.

Areas of 22.74 and 13.61 km2 falling under very high and high priority classes respectively for whole Bata river basin. These areas should be prioratized for immediate conservation measures.

Areas of 2.49, 2.21, 2.41 and 2.35 km2 of sub watersheds 10, 16, 22 and 23 respectively are falling under very high priority class and should be considered for conservation measures urgently.

In general, it is clear from the results of this study that modified USLE is a powerful model for the qualitative as well as quantitative assessment of soil erosion intensity for the conservation management.

Multi-temporal, multi-sensor and multi-spectral remote sensing data have provided valuable and very important factors like C and P for this study. Since, the crop cover is a powerful weapon to reduce the direct impact of rainfall on soil particles, it can be recommended that all barren lands in Bata river basin be converted to agricultural land or forest plantations through proper land reclamation measures.

GIS has given a very useful environment to undertake the task of data compilation and analysis within a short period at very high resolution.

IRS-1D pan data and GPS data can be used for updating the age-old Survey of India topo-sheets, which is the prime source of data for the Digital Elevation Model and Geo-coding of images.

References
  • D. P. Shrestha, S. K. Saha (1997), "Soil Erosion Modelling", ILWIS application guide.
  • Glenn O. Schwab et. al., (1981), "Soil and Water Conservation Engineering", Third Edition, Oxford and IBH Publishing Co. Pvt. Ltd., New Delhi.
  • Gurmel Singh, C. Venkataramanan, G. Sastry, B. P. Joshi (1996), "Manual of Soil and Water Conservation Practices", Oxford and IBH Publishing Co. Pvt. Ltd., New Delhi.
  • K. G. Renard, G. R. Foster, G. A. Weesies (1994), "Predicting Soil Erosion by Water - A Guide to Conservation Planning with the Revised Universal Soil Loss Equation".
  • Lilliesand and Keifer (1994), "Remote Sensing and Image Interpretation".
  • Morgan, R. P. C., Morgan, D. D. V. and Finney, H. J. (1984), "A Predictive Model for the Assessment of Soil Erosion Risk", J. Agric. Engng. Res., 30:245-253.
  • Proceedings of UN-ESCAP/ISRO Science Symposium on "Space Technology for Improving Quality of Life in Developing Countries: A Perspective for the Next Millennium", November 15-17, 1999.
  • R. Lal (1994), "Soil Erosion Research Methods", Second Edition, Soil and Water Conservation Society, Columbus.
  • V. V. N. Murthy (1982), "Land and Water Management Engineering", India.

Fig 01 - Location Map

   

   

Fig 02 - Modified USLE Factor Maps (R, K, LS, C and P)

Fig. 03 - Attached separately as Figure3.doc.

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