Delineation of salt-affected soils and waterlogged areas in the indo-gangetic plains using IRS-1C LISS-III data

International Journal of Remote Sensing

Volumn 19, Issue 14, 1998, Pages 2739-2751

  Dwivedi, R S ^a   Sreenivas, K ^a  

^a NATIONAL REMOTE SENSING AGENCY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ARID REGIONS; DATA REDUCTION; IMAGE ANALYSIS; IMAGE SEGMENTATION; IRRIGATION; SATELLITES; SOILS;

ALKALINIZATION; SALINIZATION; WATERLOGGING;

REMOTE SENSING;

IMAGERY; IRS (SATELLITE); LISS; WATERLOGGING;

EID: 0032552576     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/014311698214488     Document Type: Article

References (26)

1. Abrol, I. P., and Bhumbla, D. R 1971, Saline and alkali soils in India-their occurance and management. World Soil Resources Report 41-42, FAO, Rome.
2. Acevedo, W., Buis, J. S. and WrigLay, R. C., 1984, Changes in classification accuracy due to varying Thematic Mapper and Multispectral Scanner spatial, spectral and radiometric resolution. Proceedings of the Eighteenth International Symposium on Remote Sensing of Environment, Paris, France 1-5 October, 1984.
3. A Lexander, D. A., Buis, J. S., A cevedo, W., and W ringLey, R. C., 1983, Spectral, spatial and radiometric factors in cover type discrimination.Proceedings of the International Geoscience and Remote Sensing Symposium. San Francisco, California, 31 August-2 September 1983.
4. Bishop, Y., Fienberg, S., and Holland, P., 1975, Discrete Multivariate Analysis: Theory and Practices(Cambridge: MIT Press).
5. Budd, J. T. C., and MiLton, E. J., 1982, Remote sensing of salt marsh vegetation in the first four proposed Thematic Mapper bands.International Journal of Remote Sensing, 1982, 3, 147-161.
6. Buis, J. S., Aavedo, W., ALexander, D. A., and WrigLey, R. C., 1983, The role of spectral spatial and radiometric resolution on information content.Proceedings of the Machine Processing of Remotely Sensed Data Symposium, West Lafayette, Indiana, 21-23 June, 1983(West Lafayette, IN: Laboratory for Applications of Remote Sensing, Purdue University).
7. CongaLton, R. G., OderwaLd, R., and Mead, R., 1983, Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques.Photogrammetric Engineering and Remote Sensing, 49, 1671-1678.
8. CongaLton, R. G., and Rekas, A., 1985, COMPAR: a computerized technique for the in-depth comparison of remotely sensed data.Proceedings of the 51st Annual Meeting of the American Society of Photogramme try,(Washington, DC: ASPRS), 98-106.
9. Dwivedi, R. S., 1992, Monitoring and the study of the effects of image scale on delineation of salt-affected soils in the Indo-Gangetic plains.International Journal of Remote Sensing, 13, 1527-1536.
10. Dwivedi, R. S., and Venkataratnam, L., 1992, Land degradation studies using IRS-1A data. InNatural Resources Management: A New Perspective, edited by R. L. Karale, (Bangalore: NNRMS), pp. 153-169.
11. Irons, J. R., Markham, B. L., NeLson, R. F., Toll, D. L., and WiLLiams, D. L., 1985, The effect of spatial resolution on the classification of Thematic mapper data.International Journal of Remote Sensing, 6, 1384-1403.
12. Joseph, G., 1992, IRS-1A camera: its evolution and realization. InNatural Resources Management: A New Perspective, edited by R. L. Karale (Bangalore: NNRMS) pp. 25-39.
13. National Commission on Agriculture, 1976, Report of the National Commission on Agriculture. Part 5- 9, Abridged Report. Ministry of Agriculture and Irrigation, New Delhi.
14. National Remote Sensing Agency (NRSA), 1995a, Study of land degradation problems in Sharda Sahayak command area for sustainable agriculture development. NRSA Project Report.
15. National Remote Sensing Agency (NRSA), 1995b, IRS-1C Users Data Hand Book. NRSA Technical Report.
16. Rao, B. R. M., Dwivedi, R. S., Venkataratnam, L., Ravi Sankar, T., Thammappa, S. S., Bhargawa, G. P., and Singh, A. N., 1991, Mapping the magnitude of sodicity in part of the Indo-Gangetic plains of Uttar Pradesh, Northern India, using Landsat-TM data.International Journal of Remote Sensing, 12, 419-425.
17. Sharma, R. C., and Bhargawa, G. P., 1987, Operational use of SPOT-1 image in mapping and management of alkali soils.Proceedings of the National Symposium on Remote Sensing in Land Transformation and Management, Hyderabad(Hyderabad: National Remote Sensing Agency).
18. Sharma, R. C., and Bhargawa, G. P., 1988, Landsat imagery for mapping saline soils and wetlands in north-west India.International Journal of Remote Sensing, 9, 39-44.
19. Singh, A. N., 1994, Monitoring change in the extent of salt-affected soils in northern India.International Journal of Remote Sensing, 15, 3173-3182.
20. Singh, A. N., Baumgardner, M. F., and Kristof, S. T., 1977, Delineating salt-affected soils in part of the Indo-Gangetic plain by digital analysis of Landsat data. Technical Report 111477, LARS, Purdue University, West Lafayette, Indiana, USA.
21. Stoner, E. R., Baumgardner, M. F., Biehl, L. L., and Romnson, B. F., 1980, Atlas of soil reflectance properties. Research Bulletin 962, Purdue University, West Lafayette, Indiana, USA.
22. Swain, P. H., Robertson, T. V., and Wacker, A. G., 1971, Comparison of the divergence and B-distance in feature selection. LARS Information Note 020871, LARS/Purdue University, West Lafayette, Indiana.
23. Szabolcs, I., 1992, Salinization of soil and water and its relation to desertification.Desertification Control Bulletin, No. 21, pp. 32-37.
24. Toth, T., Csinag, F., and Buttner, G., 1991, Satellite remote sensing of salinity—alkalinity in the Great Hungarian plain.Proceedings of the International Symposium on Impacts of Salinization and Acidification on the Terrestrial Eco-System and its Rehabilitation, 26-28 September 1991, Fuchu, Tokyo.
25. US Department of Agriculture, 1975, Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys.Agriculture Hand Book No. 436 (Washington, DC: US Government Printing Office).
26. Venkataratnam, L., and Rao, K. R., 1977, Computer-aided classification and mapping of soils and soil limitations using Landsat multispectral data. Proceedings of the Symposium on Remote Sensing for Hydrology, Agriculture and Mineral Resources (Ahmedabad: Space Applications Centre).