Study of assessment and monitoring of pastures land areas in hills based on GIS technologies (case study Southern Uzbekistan)

Abstract

In this study, we have undertaken a comprehensive exploration of vegetation monitoring and biomass assessment in the mountainous and sub-mountainous regions of southern Uzbekistan, leveraging the capabilities of Geographic Information System (GIS) technologies and remote sensing data. Our research has focused on the critical analysis of biomass levels during the primary plant season, as well as continuous plant monitoring. Our methodology involved the utilization of Landsat 9 satellite image data, further analyzed through the application of two essential vegetation indices, namely the Normalized Difference Vegetation Index (NDVI) and the Soil-Adjusted Vegetation Index (SAVI). One of the key objectives of our investigation was to assess the potential for extrapolating the biomass model for plant cover using GIS technologies. This extrapolation aims to extend our understanding to encompass the period of continuous vegetation coverage monitoring. The combination of GIS, remote sensing data, and advanced vegetation indices serves as a powerful framework for gaining insights into the dynamics of plant growth and biomass variations. Such research not only enhances our understanding of the ecological landscape but also provides valuable information for sustainable land management and agriculture practices in the region