Skip to main content
Log in

Application of remote sensing data in characterization and mapping of soil resources for watershed planning in arid Western Rajasthan

  • Published:
Journal of the Indian Society of Remote Sensing Aims and scope Submit manuscript

Abstract

Visual interpretation of IRS-L1SS-II (January, 1995) FCC (1:50,000 scale) of spectral bands 2, 3 and 4 was carried out for the identification and mapping of major physiographic units in an arid watershed of Jodhpur district (Rajasthan). Based on image characteristics and field traverses, seven major physiographic units identified are (1) hills (2) pediments, flat to undulating (3) buried pediments, moderately deep to deep, coarse textured (4) buried pediment, shallow to moderately deep and deep, medium to fine textured, saline (5) older alluvial plains, deep and very deep, coarse textured (6) younger alluvial plains, deep to very deep, very coarse textured and (7) dune complexes. Based on physiographicvariatton and soil or site characteristics such as texture, depth, slope, erosion and underneath substrata, 41 soil mapping units were identified and mapped. Final physiography, soil, slope, drainage and landuse maps were prepared on 1:5,000 scale. Taxonomically, the soils of the watershed were classified as Para-Lithic Torriorthents, coarse-loamy, Lithic/Typic Haplocambids, fine-loamy, Lithic/Typic Haplosalids and Typic Torrifluvents and Typic Torripsamments. Land suitability for various mapping units in the watershed have been assessed on the basis of soil physico-chemical characteristics.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Ahuja RL, Manchanda ML, Sangwan BS, Goyal VP and Aggarwal RP (1992). Utilization of remote sensing data for soil resources mapping and its interpretation for land use planning of Bhiwani district, Haryana. J. Indian. Soc. Remote Sensing. 20(2&3): 105–120.

    Google Scholar 

  • AISS & LUP (1970). Soil Survey Manual. All India Soil Survey Organization, I.A.R.I. New Delhi-12.

    Google Scholar 

  • Am. Soc. Of Photogrammetry (1975). Manual of Remote Sensing. Vol. II. Falls Church, Virginia.

  • Dhir RP and Singh N (1976). Soil and Land use capability survey of Jodhpur district. Soil Survey Report. Pedology Soil Survey, CAZRI, Jodhpur, Pp. 1–86.

    Google Scholar 

  • FAO (1978). A frame work for land evaluation. Hand Book no. 32, Rome. Pp. 1–262.

    Google Scholar 

  • Jackson ML (1967). Soil Chemical Analysis. Prentice Hall of India Ltd. New Delhi. Pp. 1–498.

    Google Scholar 

  • Khan MA, Singh N, Vangani NS and Balak Ram (1997). Resources Appraisal of Tulesar Chama-Bawarli Project area in Arid Rajasthan. A Survey report for Watershed Development for M/s Mantag Irrigation System (P) Ltd. New Delhi. Prepared by Natural Resource Division, CAZRI, Jodhpur, Pp 1- 48.

    Google Scholar 

  • Piper CS (1950). Soil and Plant Analysis. Adelaid, Australia, University of Adelaid.

    Google Scholar 

  • Sehgal JL and Sharma PK (1988). An inventory of degraded soils of Punjab (India) using remote sensing techniques. J. Indian. Soc. Remote Sensing. 8(1): 166–175.

    Google Scholar 

  • Sehgal JL, Sharma PK, and Karale RL (1988). Soil resource inventory of Punjab using remote sensing techniques for district level planning. J Indian. Soc. of Remote Sensing. 16(3): 39–47.

    Article  Google Scholar 

  • Sen AK and Ram Balak (1988). Delineation of wasteland in Rajasthan desert. In: Wasteland development and their utilization. (Ed. KA Shankarnarayan), Scientific Publishers, Jodhpur, Pp. 18–40.

    Google Scholar 

  • Sen TK, Pande LM, Sehgal JL, Maji AK and Chamuah, (1992). Satellite remote sensing in soil resource inventory Dibrugarh, Assam. J Indian. Soc. Remote Sensing. 20(2 & 3): 95–104.

    Article  Google Scholar 

  • Singh N, Surendra S, and Shanna KD (1992). Identification and mapping of saline/alkali wasteland through remotely sensed data in Jodhpur district. Annals of Arid Zone. 3394): 287–293.

    Google Scholar 

  • Singh N and Kolarkar AS (1995). Status of degraded salt affected soils in arid zone and their amelioration. Agropedology, NBSS & LUP, Nagpur, Pp. 29–36.

    Google Scholar 

  • Soil Survey Staff (1950). Soil Survey Manual. Agric. Hand book no. 18, Washington, DC, USDA. Pp. 1- 503.

    Google Scholar 

  • Soil Survey Staff (1975). Soil Taxonomy, Agric. Hand Book no. 436 Washington DC, USDA. Pp. 1–754.

    Google Scholar 

  • Soil Survey Staff (1994). Key to Soil Taxonomy. Technical Monogramm No. 6, Blacksburg, Virginia, USDA, Pp. 1–306.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

About this article

Cite this article

Khan, M.A., Singh, N. Application of remote sensing data in characterization and mapping of soil resources for watershed planning in arid Western Rajasthan. J Indian Soc Remote Sens 28, 93–113 (2000). https://doi.org/10.1007/BF02989895

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02989895

Keywords

Navigation