Using Geospatial Technologies to Separate Soil Units and Predict Some of Their Characteristics in Basra Governorate (Indices)

Authors

  • Hussam J. Mohammed Department of Soil Science and Water Resources, College of Agriculture, University of Basrah, Iraq
  • Mohammed A. Kadhim Department of Soil Science and Water Resources, College of Agriculture, University of Basrah, Iraq

DOI:

https://doi.org/10.51699/ijbea.v3i1.3282

Keywords:

Remote sensing, Geographic information system, Indices

Abstract

This study was conducted to classify the soils of eastern Basra Governorate, southern Iraq, within the administrative borders of Abu Al-Khasib District extending south to Al-Faw District, using remote sensing techniques and geographic information systems. The soil units were separated by adopting remote sensing technology through the use of satellite image from Landsat8, the TIRS - OLI sensor (The Operational Land Imager), and spectral indices with field observations. A map of the soil units was prepared using the GIS program. Eight locations of soil pedons were identified, and they were divided The study area is divided into two paths, and each path contains four typical pedons within the boundaries of the study area as follows:

1 - First stripe: represents the river levees unit within pedons 1, 3, 5 and 7.

2 - Second stripe: represents the river basin unit within pedons 2, 4, 6 and 8.

The results of Indices showed a variation in their values between all the pedons through which spatial variation in surface soil characteristics can be distinguished. The values of NDVI ranged between < 0 – 0.79, < 0 – 1.64 for BSI, and between < 0 – 0.408 for SAVI. The spectral indices NDVI and SAVI gave results that match the ground facts present on the ground, represented by vegetation, while the bare soil index BSI gave reflectivity values similar to barren lands. The lands of the study area were characterized by a lack of vegetation, especially in the low-lying areas of the river plains, while the areas of natural vegetation and the parts close to the river levees were characterized by a medium to high vegetation cover, and these results are consistent with the values of the NDVI and SAVI spectral indices.

References

Al-Ani, Amal Muhammad Saleh (2006). Applications of numerical classification in classifying some soil series of river banks in the Iraqi alluvial plain. Doctoral thesis - College of Agriculture - University of Baghdad.Van Gool, D., Peter Tille and Geoff Moore.( 2005). Land evaluation Standards for Land Resource Mapping. Department of Agriculture, Government of Western Australia.

Faleh, Ali and Jamal Shawan. (2012). Geographic information systems and remote sensing: principles and applications. Infoprint Press. Axe . The Kingdom of Morocco. Huete, A. R. A . (1988). soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, Remote Sons. Environ. 25:295-309.

Jamalabad, M.S. and Abkar, A.A., (2004) . Forest canopy density monitoring, using satellite images. P.O. Box 13445-1136, Tehran, Iran.

Kadhim, M.A., S.M. Al-Atab and Jassim M. Saadoun (2020). Monitor changes in the spectral indices values of soil surface and their spatial distribution using remote sensing data. Int. J. Agricult. Stat. Sci., 16(Supplement 1), 1981-1987.

Lillesand , T . M . and R . W . Kieffer . (1999) . Remote sensing And Image interpretation . 2nd .Ed . John Wiley and sons . Inc.

Rouse, J.W. et al., (1974). Monitoring the vernal advancement and retrogradation (greenwave effect) of natural vegetation. NASA/GSFCT Type III Final report. Greenbelt, MD, USA.

Soil Survey Staff. (2003). Soil Taxonomy. Abasic system of soil classification for making and interpreting soil survey. 2nd edition. Agriculture Handbook No. 436. USDA.

Zinck J ., (2008) . Remote Sensing of soil Salinization : impact on Land management . CRC Press , Technology and Engineering . pp (374) .

Downloads

Published

2024-01-08

How to Cite

Hussam J. Mohammed, & Mohammed A. Kadhim. (2024). Using Geospatial Technologies to Separate Soil Units and Predict Some of Their Characteristics in Basra Governorate (Indices). International Journal of Biological Engineering and Agriculture, 3(1), 1–13. https://doi.org/10.51699/ijbea.v3i1.3282

Issue

Section

Articles