Abstract
In the present study, an attempt has been made to describe the technique for large-scale soil mapping using remote sensing data. Based on erosional and depositional processes, seven major landforms namely plateau top, scarp slopes, plateau spurs, pediment, undulating plain, valley and floodplain have been delineated using Cartosat-1 DEM (10 m), contour (10 m) and hillshade. Using two seasons high-resolution IRS-P6 LISS-IV data, six land use/land cover classes namely double crop, single crop, orchard, wasteland with and without scrub and degraded forest have been identified using visual interpretation. A detailed slope map has been generated from Cartosat-1 DEM and reclassified into seven classes. On the basis of landform, slope, land use/land cover and ground truth, 37 Physiography-Landuse Units (PLU) were identified and described. PLU-soil relationship was developed by correlating soil-site characteristics and physical and chemical properties of soils. Six soil series were identified in major landforms and soil map depicting phases of soil series was developed. The study revealed that the combined use of Cartosat-1 DEM (10 m) and high-resolution IRS-P6 LISS-IV data will be of immense help in identifying soil patterns for large-scale soil resource inventory useful for village-level agricultural planning.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Ahmed, N., Mahtab, A., Agrawal, R., Jayaprasad, P., Pathan, S. K., Singh, D. K., & Singh, A. K. (2007). Extraction and validation of cartosat-1 DEM. Journal of the Indian Society of Remote Sensing, 35, 121–127.
AIS&LUS (All India Soil and Land Use Survey). (1971). Soil survey manual. New Delhi: IARI.
Biswas, R. R. (1987). A soil map through landsat satellite imagery in part of the Auranga catchment in the Ranchi and Palamou districts of Bihar, India. International Journal of Remote Sensing, 4, 541–543.
Black, C. A., Evans, D. D., White, J. L., Ensmingel, L. E., & Clark, F. E. (Eds.). (1965). Methods of soil analysis, part I. Madison: American Society of Agronomy. No. 9.
Dobos, E., & Montanarella, L. (2007). The development of a quantitative procedure for soilscape delineation using digital elevation data for Europe. Chapter 9, digital soil mapping - an introductory perspective. Development in Soil Science, 31, 107–117.
Jackson, M. L. (1973). Soil chemical analysis. New Delhi: Prentice Hall.
Jacobsen, K., Crespi, M., Fratarcangeli, F. & Giannone, F. (2008). DEM generation with Cartosat-1stereo imagery EARSel, Workshop: Remote Sensing - New Challenges of High Resolution, Bochum.
Klute, A. (1986). Methods of soil analysis. Part 1. Madison: American Society of Agronomy and Soil Science Society of America.
Liengsakul, M., Mekpaiboonwatana, S., Pramojanee, P., Bronsveld, K., & Huizing, H. (1993). Use of GIS and remote sensing for soil mapping and for locating new sites for permanent cropland- A case study in the highlands of northern Thailand. Geoderma, 60(1–4), 293–307.
Manchanda, M. L., Kudrat, M., & Tiwari, A. K. (2002). Soil survey and mapping using remote sensing. Tropical Ecology, 43(1), 61–74.
Martha, T. R., Saha, R., & Vinod Kumar, K. (2012). Synergetic use of satellite image and DEM for identification of landforms in on Ridge-Valley Topography. International Journal of Geosciences, 3, 480–489.
Nagaraju, M. S. S., Kumar, N., Srivastava, R., & Das, S. N. (2014). Cadsatral-level soil mapping in basaltic terrain using Cartosat-1 derived products. International Journal of Remote Sensing, 35(10), 3764–3781.
Piper, C. S. (1966). Soil and plant analysis. Bombay: Hans.
Reddy, G. P. O., Nagaraju, M. S. S., Ramteke, I. K., & Sarkar, D. (2012). Terrain characterization for soil resource mapping using IRS-P6 data and GIS -a case study from basaltic terrain of central India. Journal of the Indian Society of Remote Sensing, 41(2), 331–343.
Richards, L. A. (1954). Diagnosis and improvement of saline and alkaline soils. Agriculture handbook No. 60.. Washington: USDA.
Sahu, N., Obi Reddy, G. P., Kumar, N., Nagaraju, M. S. S., Srivastava, R., & Singh, S. K. (2014). Characterization of landforms and land use/land cover in basaltic terrain using IRS-P6 LISS-IV and cartosat-1 DEM data: a case study. Agropedology, 24, 166–178.
Sahu, N., Obi Reddy, G. P., Kumar, N., & Nagaraju, M. S. S. (2015). High resolution remote sensing, GPS and GIS in soil resource mapping and characterization: a review. Agricultural Reviews, 36, 14–25.
Simon, P. (2010). Remote sensing in geomorphology. Jaipur: Oxford Book Company.
Soil Survey Division Staff. (2000). Soil survey manual. Soil conservation service. USDA handbook 18. Revised. Jodhpur: Scientific Publishers.
Srivastava, R., & Saxena, A. K. (2004). Technique of large-scale soil mapping in basaltic terrain using satellite remote sensing data. International Journal of Remote Sensing, 25, 679–688.
Velmurugan, A., & Carlos, G. G. (2009). Soil resource assessment and mapping using remote sensing and GIS. Journal of the Indian Society of Remote Sensing, 37, 511–525.
Walia, C. S., Singh, S. P., Dhankar, R. P., Ram, J., Kamble, K. H., & Katiyar, D. K. (2010). Watershed characterization and soil resource mapping for land use planning of Moolbari watershed, Shimla, H.P. in lesser Himalayas. Current Science, 98(2), 176–182.
Acknowledgments
The authors are grateful to ICAR-National Bureau of Soil Survey and Land Use Planning for granting permission and financial support to carry out the work. Thanks are also due to Mrs. Ujjawala Tijare for cartography work.
Author information
Authors and Affiliations
Corresponding author
About this article
Cite this article
Sahu, N., Singh, S.K., Reddy, G.P.O. et al. Large-Scale Soil Resource Mapping Using IRS-P6 LISS-IV and Cartosat-1 DEM in Basaltic Terrain of Central India. J Indian Soc Remote Sens 44, 811–819 (2016). https://doi.org/10.1007/s12524-015-0540-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12524-015-0540-7