QURIGAN DENGIZ TUBI FLORASINI INVENTARIZATSIYA QILISHDA QO‘LLANILADIGAN AMALDAGI METODLAR TAHLILI

Abstract

This article analyzes the current methods used in the inventory of the flora of the Aral Sea dry bottom. Flora is of great importance as an integral part of the global ecological balance, biodiversity and human life. The new ecological conditions that have arisen in the Aral Sea region, such as high salinity, dusty atmosphere, irrigation restrictions and climate extremes, are shaping the specific composition and survival strategies of the flora of this region. The study evaluates their effectiveness based on a comparative analysis of field observations, remote sensing, UAV technology, NDVI analysis, GIS system and artificial intelligence models. In particular, the capabilities of CNN (convolutional neural network) models for rapid and automatic identification of species over large areas are highlighted. The results show that modern integrated methods for carrying out floristic monitoring and inventory in extreme conditions such as the Aral Sea provide the highest efficiency. This article serves to create a scientific basis for practical decisions on "Green Space", reclamation policy and restoration of biodiversity.