@ARTICLE{Arifjanov_Aybek_M._Extraction_2021,
 author={Arifjanov, Aybek M. and Akmalov, Shamshodbek B. and Samiev, Luqmon N.},
 number={No 48},
 pages={65-69},
 journal={Journal of Water and Land Development},
 howpublished={online},
 year={2021},
 publisher={Polish Academy of Sciences; Institute of Technology and Life Sciences - National Research Institute},
 abstract={In recent times there have been many changes on Earth, which have appeared after anthropogenic impact. Finding solu-tions to problems in the environment requires studying the problems quickly, make proper conclusions and creating safe and useful measures. Humanity has always had an effect on the environment. There can be many changes on the Earth be-cause of direct and indirect effects of humans on nature. Determining these changes at the right time and organizing meas-urements of them requires the creation of quick analysing methods. This development has improved specialists’ interest for remote sensing (RS) imagery. Moreover, in accordance with analysis of literature sources, agriculture, irrigation and ecolo-gy have the most demand for RS imagery. This article is about using geographic information system (GIS) and RS technol-ogies in cadastre and urban construction branches. This article covers a newly created automated method for the calculation of artificial surface area based on satellite images. Accuracy of the analysis is verified according to the field experiments. Accuracy of analysis is 95%. According to the analysis from 1972 to 2019 artificial area enlargement is 13.44%. This method is very simple and easy to use. Using this data, the analysis method can decrease economical costs for field measures. Using this method and these tools in branches also allows for greater efficiency in time and resources.},
 type={Article},
 title={Extraction of urban construction development with using Landsat satellite images and geoinformation systems},
 URL={http://journals.pan.pl/Content/119049/PDF/Arifjanov%20et%20al%20712.pdf},
 doi={10.24425/jwld.2021.136147},
 keywords={ArcGIS, Geographic Information System (GIS), Landsat satellite image, remote sensing (RS), urban},
}