Abstract

Currently, more than 300 satellites have been launched into space and providing us with information about the Earth and processes which happens in there. Those information is very useful in all branches. These satellites started to modify and modernize year by year. Especially after 2000, satellites of very high resolution were launched into space. These satellites are sending information with very high resolution. To improve the speed and accuracy of the analysis of these images, scientists have developed a number of methods and programs. As a result, users often find face to difficulties with knowing which method or program is most effective. In this article, analyzed many researches and scientific studies and analyzed WorldView-2 (WV2) images of the Syrdarya Province based on field experiments and outlined the advantages and disadvantages of the method and tool. WV2 images are very important and provide much relevant data for all image analysis. VHR of these images can increase the quality and possibilities of all analysis. But usage of these images globally has not developed because of their costs. Square of satellite image capturing is very little for global analysis. to do global analysis we need 100 s of this image. That is why scientists use this data more often for correlation or creating general methods. That is why it has not been used for regional and global analysis. In our research, we used GEOBIA’s eCognition software. The accuracy of this program is 95 %. In arid regions like Uzbekistan, we recommend optimal software, analyse steps and data.

Highlights

  • According to the literatures Remote Sensing (RS) data must be analyzed by a RS analysis program in order to convert it to digital format and obtain the necessary information

  • Spatial resolution of very high resolution (VHR) images are very high (WorldView-2 (WV-2) multi 2.5 m, pan 0.5 m) and the group of many pixels gives us one object information and analyzing it by method based on pixels wastes more time and has errors

  • With Geographic Object Based Image Analysis (GEOBIA) it is possible to analyze images by their pixel features, there are a number of properties such as texture or geometric properties which one can use for analysis [Navulur, 2006; Platt, 2014]

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Summary

Introduction

According to the literatures Remote Sensing (RS) data must be analyzed by a RS analysis program in order to convert it to digital format and obtain the necessary information. RS analysis program analyses use mainly two methods: Pixel to pixel analysis (PPA) and Geographic Object Based Image Analysis (GEOBIA). With the creation of very high resolution (VHR) images, the GEOBIA analysis method of RS analysis program is becoming popular.

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