Annals of Case Reports and Clinical Studies (ISSN: 2834-5673) | Volume 2, Issue 2 | Research Article | Open Access

Prediction, Monitoring and Mapping of Soil Salination through Remote Sensing

Shukurov SX^*

Institute of Soil and Agrochemistry of ANAS, Baku

^*Correspondence to: Shukurov SX 

Abstract

In arid and scmi-arid word areas, soil salinization is one of the most important environmental issues due to its adverse impact on agricultural productivity and sustainable development. It must be recognized that unconscious irrigation and old watering methods are extremely damaging to fertile lands and hastening waterlogging and the accumulation of salt in the soil. In this study, we used methods for predicting and monitoring soil salinity in the Salyan and Nefchala regions. Most studies were previously focused on the qualitative differentiation of saline and non-saline soils by analyzing the distribution of salinity and monitoring its dynamics. Remote sensing (RS), geographic information systems (GIS) and modeling have recently surpassed traditional methods. This study considers the use of various satellite images to delimit soil salinity maps by drawing either salinity indices generated by different spectral bands or vegetation indices.

Keywords:

Geoinformation systems, Monitoring, Remote sensing, Soil salinity, Analyses

Citation:

Shukurov SX, Aliyev ZH. Prediction, Monitoring and Mapping of Soil Salination through Remote Sensing. Ann Case Rep Clin Stud. 2023;2(2):1-9.