1265

The use of modern land accounting techniques and the incorporation of field research findings into geodata have not been given top attention in Uzbekistan's various landscape areas. Additionally, there is still a lack of relevant investigations on the visualization, analysis, processing, process automation, and regulation of soil ecological conditions in the interpolation approach of GIS. This study uses GIS and remote sensing methods to identify snow cover in a mountainous area in Kashkadarya Province, Uzbekistan. The results of this study have an impact on how crops are grown and land resources are managed sustainably in this area. Using satellite images in ArsGIS software and remote sensing methods based on hydrometeorological data of geophysically connected field surveys relating to the study site, electronic maps for the experimental years of 2015–2018 were developed. Our findings pose possibilities to undertake geostatistical analysis, depict the contours dividing the soil separations, and incorporate the information discovered through field research into a geodatabase.

  • Read count 1265
  • Date of publication 30-06-2022
  • Main LanguageIngliz
  • Pages7
English

The use of modern land accounting techniques and the incorporation of field research findings into geodata have not been given top attention in Uzbekistan's various landscape areas. Additionally, there is still a lack of relevant investigations on the visualization, analysis, processing, process automation, and regulation of soil ecological conditions in the interpolation approach of GIS. This study uses GIS and remote sensing methods to identify snow cover in a mountainous area in Kashkadarya Province, Uzbekistan. The results of this study have an impact on how crops are grown and land resources are managed sustainably in this area. Using satellite images in ArsGIS software and remote sensing methods based on hydrometeorological data of geophysically connected field surveys relating to the study site, electronic maps for the experimental years of 2015–2018 were developed. Our findings pose possibilities to undertake geostatistical analysis, depict the contours dividing the soil separations, and incorporate the information discovered through field research into a geodatabase.

Author name position Name of organisation
1 Mate T.. Assistant Professor Edutus University
2 Azamat J.. Associate Professor Tashkent Institute of Irrigation and Agricultural Mechanization Engineers
Name of reference
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