Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Visual discrimination of surface features of salt affected soils using satellite images in arid region of Rajasthan (India)

  • 75 Accesses

  • 1 Citations


The study has been carried for visual discrimination of natural salt affected soils on FCC images of IRS 1 B in Pali district of Rajasthan. The salt affected soils show wide variations in salinity (EC2.53.7 to 28 dSm-1), alkalinity (pH 8.5-9.8), cover ofP. juliflora (10-90%), salt tolerant grasses (10–55%) and gravelly surface (20–35%). ThoughP. juliflora and grasses were present at most of the observation points their cover decreased with soil EC2.5 values more than 10 and 13 dSm-1, respectively. Five darkness categories derived as the result of visual interpretation of FCCs; and ground and laboratory studies revealed that the darkness category 1 represented fewer plant community with high salinity (EC 28.7 dSm-1) and gravelly surface, categories 2 and 3 were characterised by grass cover and moderate salt affected soils (EC 3-10 dSm-1) whereas category 4 was dominated by thicket ofP. juliflora. The derived numerical darkness categories of the FCC images were slightly low for February images. The darkness values of observation pixel on February images correlated positively withP. juliflora cover and negatively with grass cover and soil pH indicating that surface features on FCC were related with the immediate observation pixels.

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


  1. Dwivedi, R. S, Venkatratnam, L. and Karale, R. L. (1987). Monitoring salt affected soils from space borne multi spectral and multi-temporal data. Proceeding National symposium on Remote Sensing in Land Transformation and Management, Hyderabad, pp.65–70.

  2. Joshi, D. C, Kalra, N. K. and Raina, Pramila (2000). Remote sensing for soil resources in arid region of Rajasthan. In Management of Arid Eco-system (Eds. Faroda, A. S., Joshi, N. L., Kathju, S. and Amal Kar) Scientific Publishers, Jodhpur, pp.27–34.

  3. Kalra, N. K. and Joshi, D. C. (1994). Spectral reflectance characteristics of salt affected arid soils of Rajasthan. Photonirvachak, Journal Indian Society of Remote Sensing,22:183–193.

  4. Kalra, N. K. and Joshi, D. C. (1996). Potentiality of Landsat, SPOT and IRS satellite imagery, for recognition of salt affected soils in Indian Arid Zone. International Journal of Remote Sensing,17:3001–3014.

  5. Richard, L. A. (Editor) (1954). Diagnosis and Improvement of Saline and Alkali soils, Agriculture Handbook No. 60 Washington D.C.: USDA.

  6. Sankar, V. and Kumar, S. (1988). Vegetation ecology of the Indian Thar desert. International Journal of ecology Environmental Sciences,14:131–155.

  7. Singh, Nepal, Sharma, B. K. and Bohra, P. C. (2000). Impact assessment of industrial effluent of arid soils by using satellite imageries. Journal Indian Society of Remote Sensing,28:79–92.

  8. Tóth, T. and Kertész, M. (1996). Application of soil vegetation correlation to optimal resolution mapping of solonetzic rangeland. Arid Soil Research and Rehabilitation,10:1–12.

  9. Tóth, T. and Rajkai, K. (1994). Soil and plant correlations in a solonetzic grassland. Soil Science,157:253–262.

  10. Várallyay, G. (1989). Soil mapping in Hungary. Agrokémia és Talajtan,38:696–714.

Download references

Author information

Correspondence to D C Joshi.

About this article

Cite this article

Joshi, D.C., Tóth, T. & Sári, D. Visual discrimination of surface features of salt affected soils using satellite images in arid region of Rajasthan (India). J Indian Soc Remote Sens 30, 33–38 (2002). https://doi.org/10.1007/BF02989974

Download citation


  • Visual Discrimination
  • Grass Cover
  • Salt Affected Soil
  • Indian Remote Sensing
  • Moderate Salt