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Application of remote sensing techniques for land evaluation and classification for agriculture

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Abstract

Classification of agricultural land use is necessary to prepare the land use plans of a country, a district or a village. For this purpose, exploratory, reconnaissance, semi-detailed and detailed surveys are undertaken. Remote sensing techniques like aerial photographs and satellite imageries provide useful information on different scales and assist in monitoring the present land conditions. A case study of Nera watershed presented shows the utility of aerial photographs in the preparation of land husbandry units map on 1:50,000 scale.

LANDSAT data have been used in the delineation and mapping of soil salinity. Two degrees of soil salinity can be differentiated using computer-aided multispectral data analysis system. A study of landsat scene 158-040 shows the areas affected by the various soil degradation processes.

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References

  • AIS& LUS 1970Soil survey manual (New Delhi: IARI)

    Google Scholar 

  • Brinkman R & Smyth A J (eds) 1973Land evaluationfor rural purposes. (Wageningen: Int. Inst. Land Reclam. and Improvement (ICRI))

    Google Scholar 

  • Chorley R J & Kennedy B A 1971Physical geography, a system approach (London: Prentice Hall)

    Google Scholar 

  • FAO 1976 Bulletin 32

  • FAO 1979 A provisional methodology for soil degradation assessment, FAO, Rome

    Google Scholar 

  • Kellogg Ch E 1961Soil interpretation in the soil survey. Soil Conservation Service, Washington (D.C.) US Dept. Agric.

    Google Scholar 

  • Klingebiel A A & Montgomery P H 1966USDA Soil Conserv. Sen. Agr. Handbook 210

  • Landgrebe D A 1973 An evaluation of machine processing techniques of ERTS-1 data for user applications,Proc Third ERTS-1 Symp. Goddard Space Centre, Vol. 1 p. 41

    Google Scholar 

  • NRSA 1978a Satellite remote sensing survey of natural resources of Andhra Pradesh, NRSA project report, Secunderabad, India

  • NRSA 1978b Satellite remote sensing survey, Drought prone area, part of Karnataka, NRSA project, Secunderabad, India

  • NRSA 1979a Satellite remote sensing survey of the Southern Part of Tamil Nadu, NRSA project, Secunderabad, India

  • NRSA 1979b Satellite remote sensing survey of Haryana, NRSA project report, Secunderabad, India

  • NRSA 1980 Satellite remote sensing survey: Bundelkhand and adjoining areas, U.P., NRSA project report for CST, U.P.

  • Riquier J 1971 Mimeograph ACL: Misc/71/12 Rome FAO.

    Google Scholar 

  • Riquier J & Bramao D L 1964Soil resources of Nigeria 1965–1980, p. 386, Rome, FAO

    Google Scholar 

  • Riquier J, Bramao D L & Cornet J P 1970 Mimeograph AGL: TESR/70/6 Rome, FAO

    Google Scholar 

  • Rupke Jan 1974Sediment. Geol. 11 81

    Article  Google Scholar 

  • Saxena R K & Barthwal A K 1980Photonirvachak J. Photo int. 6.

  • Saxena R K & Singh B M 1978Photonirvachak J. Ind. Soc. Photo-int. 6.

  • Saxena R K, Murthy R S, Kumar R & Saxena P B 1982 Soil suitability for agriculture and other uses in Tons catchment of Dehra Dun District, Uttar Pradesh, Presented at the Symposium on resource survey for land use planning and environmental conservation; Indian Soc. Photo-int and Remote Sensing

  • Soil Survey Staff 1975 Soil taxonomy: A basic system of soil classification for making and interpreting soil surveys, Soil Conserv. Serv., U.S. Dep. Agri. Handbook. 436, 754 pp

  • Storie R E 1950Trans. IV Amsterdam Int. Cong. Soil Sci. 1 p. 33

    Google Scholar 

  • Storie R E 1954Trans. V Int. Congr. Soil Sci. 6

  • Storie R E 1978 Spec. Publ., Div. Agric. Sci. Univ. Calif., No. 3203

  • Venkataratnam L 1980 Delineation and mapping of agricultural soil limitations/hazards in arid and semi-arid tropics using LANDSAT MSS data—an Indian example. Proc. Fourteenth International Symp. on Remote Sensing of Environment. ERIM, Ann Arbor, USA, April 1980, p. 905

    Google Scholar 

  • Young A 1978Progr. Phys. Geog. 2 462

    Google Scholar 

Download references

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Murthy, R.S., Venkataratnam, L. & Saxena, R.K. Application of remote sensing techniques for land evaluation and classification for agriculture. Proc. Indian Acad. Sci. (Engg. Sci.) 6, 177–188 (1983). https://doi.org/10.1007/BF02842882

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