Rustam Oymatov - Academia.edu (original) (raw)

Papers by Rustam Oymatov

IOP conference series, Jul 1, 2020

In this research, a specific period in time (from 1992 – 2018) with 8 -10 years’ timescales of La... more In this research, a specific period in time (from 1992 – 2018) with 8 -10 years’ timescales of Landsat satellite images were used for land cover classification. To detect land cover change combined classification method with clustering study area into 120 classes and further validation by Google Earth was performed. Our findings show significant land cover changes during the whole study period. Especially this related to grassland/scrubland/meadow/agriculture class, which was around 7000 km2 in 1992, and it dramatically fell to 3000 km2 in 2008 and reached 6000 km2 after ten years. Forest/parks/woodlands land cover class shows a tendency to increase and consisted of its maximum area 4000 km2, but then rapidly fell to 1600 km2 within the next ten years. Glaciers, in contrast, covered area of 1825 km2, but then starts steadily decline and finally reaches only 263 km2 in 2018. Bare soil and barren land starts from 3111 km2 and expands to 5640 km2 area in 2018. The same pattern shows urban/asphalt/rocks class started from 1089 km2 and ends with 2677 km2. Only water bodies do not represent any significant change in Tashkent province during the study period.

IOP conference series, Mar 1, 2023

A shift in the temperature of the canopy may signify stress in the plants. In laboratory and gree... more A shift in the temperature of the canopy may signify stress in the plants. In laboratory and greenhouse trials, using canopy temperature for the measurement salt stress in certain agricultural crops was thoroughly examined; however, its potential application in landscape-level investigations employing remote sensing methods has not yet been investigated at different time series. A satellite thermography for measuring the soil salinity of agricultural areas at the provincial level was the subject of our investigation. The research area was the irrigated, semi-arid, and salt-affected agricultural land appertain to Syrdarya province in Uzbekistan, which was mostly planted with wheat and cotton. The provincial soil salinity map was considered as a ground truth data and the moderate-resolution imaging spectroradiometer satellite (MODIS) data were perceived as an indication for canopy temperature in this study. We investigated the relationships between the soil salinity, the normalized difference vegetation index, and canopy temperature, using analysis of variance. The findings indicated a strong inverse correlation between canopy temperature and soil salinity, although this relationship changed throughout the experimental years. For cotton, the highest correlation was shown in September. In comparison to the other variables looked at, canopy temperature had higher computed F values. Our findings indicate that soil salinity may be detected at the landscape level using satellite thermography in regions where crops are being grown.

International journal of psychosocial rehabilitation, Feb 28, 2020

Article analyzes the process of education organization Bukhara Soviet Republic there were created... more Article analyzes the process of education organization Bukhara Soviet Republic there were created High Educational institute of Soviet government. Although there were wide organized structure of education but there were variety of problems in this sphere. In the year of government of Soviet Union education system was under the pressure of communistic ideology, that's why educational system didn't highly pay attention to the national specific.

E3S web of conferences, 2021

This article presents the experimental results for determining the composition of the substrate, ... more This article presents the experimental results for determining the composition of the substrate, light and temperature for growing houseplants. Substrates were prepared in 8 different variants. The properties of the substrates were evaluated on the basis of 3 types: high, medium, and low. The amount of light required for the growth of houseplants is the result of a seasonal study. The effects of daily light fall and outdoor ambient temperature in the interior environment was studied for one year, and the results obtained were tabulated. According to the attitude of plants to light, they were divided into light-loving, semi-shade, shade-loving species.

E3S Web of Conferences

This research aims to look at the use of Earth observing system data analytics (EOS DA), an inter... more This research aims to look at the use of Earth observing system data analytics (EOS DA), an interactive online system, for agricultural land monitoring in Uzbekistan. With the increasing relevance of digital technology in agriculture, there is a need to investigate innovative approaches for improving land quality monitoring and benchmarking crop conditions and productivity indicators, especially concerning degraded soil processes. The agricultural sector can benefit greatly from the start-up of interactive online digital technologies. Scientific and practical research can be advanced by leveraging existing crop monitoring and forecasting systems and adding components of digital agricultural production systems. Regular crop monitoring adds to higher production and land productivity, both of which are critical in modern agriculture. To reach these goals, modern technologies and the usage of geo-information and remote sensing data must be integrated. The primary goal of this project is...

E3S Web of Conferences

Soil salinity is a serious agricultural concern in Uzbekistan, causing plant growth to be hampere... more Soil salinity is a serious agricultural concern in Uzbekistan, causing plant growth to be hampered and crop productivity to be diminished. This issue is especially prevalent in semi-desert and desert regions, compounding problems such as soil erosion, land degradation, subsidence, corrosion, and poor groundwater quality. On the other hand, Geographic Information Systems (GIS) and Remote Sensing (RS) technologies provide more efficient, cost-effective, and timely tools and procedures for mapping soil salinity. Different indices and methods can be used to detect and quantify soil salinity levels using the spectral information acquired by the Landsat-8 OLI sensor. Among these are the Normalized Difference Salinity Index (NDSI) and the Normolazed Difference Vegetation Index (NDVI). GIS software integrates satellite imagery with auxiliary data such as soil type and topography, allowing for a thorough assessment of soil salinity distribution over the research area. Compared to traditional...

E3S Web of Conferences

The salinization of soils impacts many arid areas. In the world, about 62 million hectares of agr... more The salinization of soils impacts many arid areas. In the world, about 62 million hectares of agricultural land are subject to salinization. At present, about 47% of the irrigated lands in Uzbekistan are subject to some degree of salinity. Landsat satellite photos taken across an exact time span (from 1993 to 2021) with timeframes of 8 to 10 years were utilized in this study to monitor soil salinity. To analyze soil salinity level, salinity index, and classification method using Google Earth was performed. During the entire study period, changes in the indicator of soil salinity improvement work were shown. Especially related to non-saline soil, which was around 4,670 ha in 1993, and it increased to 10,533 ha in 2021 and reached 19.2 % after thirty years. Slightly saline soil class has the propensity to decrease and included its largest area of 15,941 ha (52.1 %) in 1993, but then dropped quickly to 9,649 ha (31.5 %) in 2021. Saline soil maximum increased in 2001 to 10.251 ha (33.5 ...

E3S Web of Conferences

Based on remote sensing data, it is possible to create a real-time database of agricultural secto... more Based on remote sensing data, it is possible to create a real-time database of agricultural sectors of the study area, in particular, types of crops, fisheries, arable land, and other sectors of agriculture. Remote sensing techniques can also be used to help determine crop yields, parasite spread, increased damage, and soil conditions using satellite imagery and aerial photography. In agricultural mapping, a classification algorithm is required that ensures the reliability and accuracy of the data extracted from the remote sensing data. Research and experiments have shown that increasing the accuracy of classification results requires not only the selection of a perfect algorithm but also a high level of knowledge and skills in the field in which the research is conducted. The mapping of agricultural sectors, in particular the classification of crops, also requires close acquaintance with the existing types of crops in the region, their dependence on natural and climatic conditions,...

E3S Web of Conferences

This article discusses the scientific and practical issues of developing a technological system f... more This article discusses the scientific and practical issues of developing a technological system for creating electronic agricultural maps as a result of field research and the design of thematic maps, as well as the analysis of creation methods. One of the critical issues is the widespread use of cartographic support methods in agricultural sector research and analysis. In this regard, including the study of agricultural, natural, and socioeconomic problems related to the development of the economy in the world’s developed countries, agricultural electronic maps provide reliable information about the territory. The current cartographic tasks are given special consideration.

E3S Web of Conferences

Geoinformation technologies (GIS) play an important role in precision agriculture and the organiz... more Geoinformation technologies (GIS) play an important role in precision agriculture and the organization of smart agriculture. This can impact deeply the analysis of the state of agricultural lands, mainly irrigated lands, and find a positive solution to the problem based on digital data consisting of different thematic layers. In this research, spatial analysis of agro-ecological conditions was carried out in order to establish effective precision agriculture in the Pakhtazor massive of the Mirzachul district of the Jizzakh region. Representing agro-ecological (soil, climate, groundwater, weather) and social (population, settlements, roads for transport) factors that directly affect the efficient production in agriculture through geospatial analysis and thematic maps were developed. In the process of creating thematic maps and analysing the data, spatial analyses such as IDW, Euclidean distance, and Kernel density were performed using ArcGIS software. As a result of spatial analysis,...

International Journal of Innovations in Engineering Research and Technology, 2020

The purpose of the study is to develop geoinformation support for electronic maps of agricultural... more The purpose of the study is to develop geoinformation support for electronic maps of agricultural design at the level of an individual agricultural enterprise. Research is carried out in the conditions of the Republic of Uzbekistan. To achieve this goal in a scientific article, the following tasks are solved: to consider the scientific foundations of the territorial organization of agricultural production on a landscape basis using geographic information systems and technologies; to substantiate the conceptual GIS model of electronic maps of agricultural design at the level of an individual agricultural enterprise; to develop a methodology and a general algorithm for creating and using a system of electronic maps in the process of agrolandscape design; develop a geodatabase structure for analysis; to assess the effectiveness of the use of GIS technologies for electronic maps of agricultural design.

IOP Conference Series: Materials Science and Engineering, 2020

In this research, a specific period in time (from 1992 – 2018) with 8 -10 years’ timescales of La... more In this research, a specific period in time (from 1992 – 2018) with 8 -10 years’ timescales of Landsat satellite images were used for land cover classification. To detect land cover change combined classification method with clustering study area into 120 classes and further validation by Google Earth was performed. Our findings show significant land cover changes during the whole study period. Especially this related to grassland/scrubland/meadow/agriculture class, which was around 7000 km2 in 1992, and it dramatically fell to 3000 km2 in 2008 and reached 6000 km2 after ten years. Forest/parks/woodlands land cover class shows a tendency to increase and consisted of its maximum area 4000 km2, but then rapidly fell to 1600 km2 within the next ten years. Glaciers, in contrast, covered area of 1825 km2, but then starts steadily decline and finally reaches only 263 km2 in 2018. Bare soil and barren land starts from 3111 km2 and expands to 5640 km2 area in 2018. The same pattern shows ur...

IOP Conference Series: Earth and Environmental Science

A shift in the temperature of the canopy may signify stress in the plants. In laboratory and gree... more A shift in the temperature of the canopy may signify stress in the plants. In laboratory and greenhouse trials, using canopy temperature for the measurement salt stress in certain agricultural crops was thoroughly examined; however, its potential application in landscape-level investigations employing remote sensing methods has not yet been investigated at different time series. A satellite thermography for measuring the soil salinity of agricultural areas at the provincial level was the subject of our investigation. The research area was the irrigated, semi-arid, and salt-affected agricultural land appertain to Syrdarya province in Uzbekistan, which was mostly planted with wheat and cotton. The provincial soil salinity map was considered as a ground truth data and the moderate-resolution imaging spectroradiometer satellite (MODIS) data were perceived as an indication for canopy temperature in this study. We investigated the relationships between the soil salinity, the normalized di...

E3S Web of Conferences

This article presents the experimental results for determining the composition of the substrate, ... more This article presents the experimental results for determining the composition of the substrate, light and temperature for growing houseplants. Substrates were prepared in 8 different variants. The properties of the substrates were evaluated on the basis of 3 types: high, medium, and low. The amount of light required for the growth of houseplants is the result of a seasonal study. The effects of daily light fall and outdoor ambient temperature in the interior environment was studied for one year, and the results obtained were tabulated. According to the attitude of plants to light, they were divided into light-loving, semi-shade, shade-loving species.

InterCarto. InterGIS, 2020

This research focuses on determination of irrigation — drainage networks conditions, salinity of ... more This research focuses on determination of irrigation — drainage networks conditions, salinity of irrigated areas in Shavat district of Khorezm region (Uzbekistan) by geospatial analysis and giving recommendations for their elimination. Additionally, obtaining monthly ground truth data from observation wells and interpolate them with IDW interpolation algorithm methods of Geographic Information Systems (GIS) technologies in order to monitoring changes of groundwater level and mineralization in vegetation period of main agricultural crops are highlighted. Besides that, by using remote sensing technologies, the obtained data about the irrigation regime was determined in agricultural areas. As a result of the usage of GIS and RS methods, there have been created thematic maps on analysing salinity of soils, the actual condition of irrigation and collector of networks, actual level and mineralization of groundwater as well as their dynamic changes. On the basis of the obtained results, th...

E3S Web of Conferences, 2021

Badland reclamation and low productive farmlands always have been one of the most detrimental eff... more Badland reclamation and low productive farmlands always have been one of the most detrimental effects on the national economy, typically in agricultural sector of Uzbekistan. Nonetheless, such kind of lands has been used extensively for major crops like cotton and winter wheat. However, it is difficult to assessing real productivity of them. Advanced technologies as GIS and RS are vital tool for geospatially analysing and making decisions on this type of fields. This research was carried out for real-time crop monitoring and yield forecasting in case of low productive (3.5 ha) and high productive (8.3 ha) cotton areas of Jarkurgan district (Surkhandarya region, Uzbekistan) based on geospatial analyses of multi-temporal satellite images, condition of groundwater, soil salinity, and ground truth data. For monitoring vegetation phenology of cotton and forecasting its harvest, False Colour, NDVI (Normalized Difference Vegetation Index) and SI (Salinity Index) analyses of areas were carr...

International Journal of Psychosocial Rehabilitation, 2020

IOP Conference Series: Earth and Environmental Science, 2021

The mapping of agricultural land worldwide is exceptionally important since these maps provide a ... more The mapping of agricultural land worldwide is exceptionally important since these maps provide a robust foundation in regards to the open spatial database of agriculture. Mapping processes usually and initially take part in interactive creation maps of agricultural sectors. As a result, this enables agricultural experts and specialists to undertake interactive management and monitoring of all agricultural sectors. This study was carried out in the Bukhara region of Uzbekistan. The potential and most appropriate technology of creating an interactive map of agricultural sectors of the study area was developed using ArcGIS, MapInfo, and Global Mapper software, appertain to the family of up-to-the-date GIS technologies. This software was used in the creation of agricultural spatial data and thematic layers. The created thematic layer and database were integrated into the Java applet, thus a user working window was developed and an interactive agricultural map of Bukhara province of Uzbe...

The purpose of the study is to develop geoinformation support for electronic maps of agricultural... more The purpose of the study is to develop geoinformation support for electronic maps of agricultural design at the level of an individual agricultural enterprise. Research is carried out in the conditions of the Republic of Uzbekistan. To achieve this goal in a scientific article, the following tasks are solved: to consider the scientific foundations of the territorial organization of agricultural production on a landscape basis using geographic information systems and technologies; to substantiate the conceptual GIS model of electronic maps of agricultural design at the level of an individual agricultural enterprise; to develop a methodology and a general algorithm for creating and using a system of electronic maps in the process of agrolandscape design; develop a geodatabase structure for analysis; to assess the effectiveness of the use of GIS technologies for electronic maps of agricultural design.

The article presents the study results of changes in flow hydraulic parameters and morphometric e... more The article presents the study results of changes in flow hydraulic parameters and morphometric elements of the river in the area of the main dam intake structure. A model for studying the direction of flow and other parameters of the flow in the area of the main structure for obtaining water from the Amudarya without a dam has been developed. A functional graph of the depth dependence of the expenditure on the study object was obtained. Graphs of the functional dependence of the diurnal cross-section of the riverbed on the flow depth and the variation of the flow velocity depending on the flow depth were constructed. The direction and distribution of the flow in the area of the main dam intake structure were studied.

IOP conference series, Jul 1, 2020

In this research, a specific period in time (from 1992 – 2018) with 8 -10 years’ timescales of La... more In this research, a specific period in time (from 1992 – 2018) with 8 -10 years’ timescales of Landsat satellite images were used for land cover classification. To detect land cover change combined classification method with clustering study area into 120 classes and further validation by Google Earth was performed. Our findings show significant land cover changes during the whole study period. Especially this related to grassland/scrubland/meadow/agriculture class, which was around 7000 km2 in 1992, and it dramatically fell to 3000 km2 in 2008 and reached 6000 km2 after ten years. Forest/parks/woodlands land cover class shows a tendency to increase and consisted of its maximum area 4000 km2, but then rapidly fell to 1600 km2 within the next ten years. Glaciers, in contrast, covered area of 1825 km2, but then starts steadily decline and finally reaches only 263 km2 in 2018. Bare soil and barren land starts from 3111 km2 and expands to 5640 km2 area in 2018. The same pattern shows urban/asphalt/rocks class started from 1089 km2 and ends with 2677 km2. Only water bodies do not represent any significant change in Tashkent province during the study period.

IOP conference series, Mar 1, 2023

A shift in the temperature of the canopy may signify stress in the plants. In laboratory and gree... more A shift in the temperature of the canopy may signify stress in the plants. In laboratory and greenhouse trials, using canopy temperature for the measurement salt stress in certain agricultural crops was thoroughly examined; however, its potential application in landscape-level investigations employing remote sensing methods has not yet been investigated at different time series. A satellite thermography for measuring the soil salinity of agricultural areas at the provincial level was the subject of our investigation. The research area was the irrigated, semi-arid, and salt-affected agricultural land appertain to Syrdarya province in Uzbekistan, which was mostly planted with wheat and cotton. The provincial soil salinity map was considered as a ground truth data and the moderate-resolution imaging spectroradiometer satellite (MODIS) data were perceived as an indication for canopy temperature in this study. We investigated the relationships between the soil salinity, the normalized difference vegetation index, and canopy temperature, using analysis of variance. The findings indicated a strong inverse correlation between canopy temperature and soil salinity, although this relationship changed throughout the experimental years. For cotton, the highest correlation was shown in September. In comparison to the other variables looked at, canopy temperature had higher computed F values. Our findings indicate that soil salinity may be detected at the landscape level using satellite thermography in regions where crops are being grown.

International journal of psychosocial rehabilitation, Feb 28, 2020

Article analyzes the process of education organization Bukhara Soviet Republic there were created... more Article analyzes the process of education organization Bukhara Soviet Republic there were created High Educational institute of Soviet government. Although there were wide organized structure of education but there were variety of problems in this sphere. In the year of government of Soviet Union education system was under the pressure of communistic ideology, that's why educational system didn't highly pay attention to the national specific.

E3S web of conferences, 2021

This article presents the experimental results for determining the composition of the substrate, ... more This article presents the experimental results for determining the composition of the substrate, light and temperature for growing houseplants. Substrates were prepared in 8 different variants. The properties of the substrates were evaluated on the basis of 3 types: high, medium, and low. The amount of light required for the growth of houseplants is the result of a seasonal study. The effects of daily light fall and outdoor ambient temperature in the interior environment was studied for one year, and the results obtained were tabulated. According to the attitude of plants to light, they were divided into light-loving, semi-shade, shade-loving species.

E3S Web of Conferences

This research aims to look at the use of Earth observing system data analytics (EOS DA), an inter... more This research aims to look at the use of Earth observing system data analytics (EOS DA), an interactive online system, for agricultural land monitoring in Uzbekistan. With the increasing relevance of digital technology in agriculture, there is a need to investigate innovative approaches for improving land quality monitoring and benchmarking crop conditions and productivity indicators, especially concerning degraded soil processes. The agricultural sector can benefit greatly from the start-up of interactive online digital technologies. Scientific and practical research can be advanced by leveraging existing crop monitoring and forecasting systems and adding components of digital agricultural production systems. Regular crop monitoring adds to higher production and land productivity, both of which are critical in modern agriculture. To reach these goals, modern technologies and the usage of geo-information and remote sensing data must be integrated. The primary goal of this project is...

E3S Web of Conferences

Soil salinity is a serious agricultural concern in Uzbekistan, causing plant growth to be hampere... more Soil salinity is a serious agricultural concern in Uzbekistan, causing plant growth to be hampered and crop productivity to be diminished. This issue is especially prevalent in semi-desert and desert regions, compounding problems such as soil erosion, land degradation, subsidence, corrosion, and poor groundwater quality. On the other hand, Geographic Information Systems (GIS) and Remote Sensing (RS) technologies provide more efficient, cost-effective, and timely tools and procedures for mapping soil salinity. Different indices and methods can be used to detect and quantify soil salinity levels using the spectral information acquired by the Landsat-8 OLI sensor. Among these are the Normalized Difference Salinity Index (NDSI) and the Normolazed Difference Vegetation Index (NDVI). GIS software integrates satellite imagery with auxiliary data such as soil type and topography, allowing for a thorough assessment of soil salinity distribution over the research area. Compared to traditional...

E3S Web of Conferences

The salinization of soils impacts many arid areas. In the world, about 62 million hectares of agr... more The salinization of soils impacts many arid areas. In the world, about 62 million hectares of agricultural land are subject to salinization. At present, about 47% of the irrigated lands in Uzbekistan are subject to some degree of salinity. Landsat satellite photos taken across an exact time span (from 1993 to 2021) with timeframes of 8 to 10 years were utilized in this study to monitor soil salinity. To analyze soil salinity level, salinity index, and classification method using Google Earth was performed. During the entire study period, changes in the indicator of soil salinity improvement work were shown. Especially related to non-saline soil, which was around 4,670 ha in 1993, and it increased to 10,533 ha in 2021 and reached 19.2 % after thirty years. Slightly saline soil class has the propensity to decrease and included its largest area of 15,941 ha (52.1 %) in 1993, but then dropped quickly to 9,649 ha (31.5 %) in 2021. Saline soil maximum increased in 2001 to 10.251 ha (33.5 ...

E3S Web of Conferences

Based on remote sensing data, it is possible to create a real-time database of agricultural secto... more Based on remote sensing data, it is possible to create a real-time database of agricultural sectors of the study area, in particular, types of crops, fisheries, arable land, and other sectors of agriculture. Remote sensing techniques can also be used to help determine crop yields, parasite spread, increased damage, and soil conditions using satellite imagery and aerial photography. In agricultural mapping, a classification algorithm is required that ensures the reliability and accuracy of the data extracted from the remote sensing data. Research and experiments have shown that increasing the accuracy of classification results requires not only the selection of a perfect algorithm but also a high level of knowledge and skills in the field in which the research is conducted. The mapping of agricultural sectors, in particular the classification of crops, also requires close acquaintance with the existing types of crops in the region, their dependence on natural and climatic conditions,...

E3S Web of Conferences

This article discusses the scientific and practical issues of developing a technological system f... more This article discusses the scientific and practical issues of developing a technological system for creating electronic agricultural maps as a result of field research and the design of thematic maps, as well as the analysis of creation methods. One of the critical issues is the widespread use of cartographic support methods in agricultural sector research and analysis. In this regard, including the study of agricultural, natural, and socioeconomic problems related to the development of the economy in the world’s developed countries, agricultural electronic maps provide reliable information about the territory. The current cartographic tasks are given special consideration.

E3S Web of Conferences

Geoinformation technologies (GIS) play an important role in precision agriculture and the organiz... more Geoinformation technologies (GIS) play an important role in precision agriculture and the organization of smart agriculture. This can impact deeply the analysis of the state of agricultural lands, mainly irrigated lands, and find a positive solution to the problem based on digital data consisting of different thematic layers. In this research, spatial analysis of agro-ecological conditions was carried out in order to establish effective precision agriculture in the Pakhtazor massive of the Mirzachul district of the Jizzakh region. Representing agro-ecological (soil, climate, groundwater, weather) and social (population, settlements, roads for transport) factors that directly affect the efficient production in agriculture through geospatial analysis and thematic maps were developed. In the process of creating thematic maps and analysing the data, spatial analyses such as IDW, Euclidean distance, and Kernel density were performed using ArcGIS software. As a result of spatial analysis,...

International Journal of Innovations in Engineering Research and Technology, 2020

The purpose of the study is to develop geoinformation support for electronic maps of agricultural... more The purpose of the study is to develop geoinformation support for electronic maps of agricultural design at the level of an individual agricultural enterprise. Research is carried out in the conditions of the Republic of Uzbekistan. To achieve this goal in a scientific article, the following tasks are solved: to consider the scientific foundations of the territorial organization of agricultural production on a landscape basis using geographic information systems and technologies; to substantiate the conceptual GIS model of electronic maps of agricultural design at the level of an individual agricultural enterprise; to develop a methodology and a general algorithm for creating and using a system of electronic maps in the process of agrolandscape design; develop a geodatabase structure for analysis; to assess the effectiveness of the use of GIS technologies for electronic maps of agricultural design.

IOP Conference Series: Materials Science and Engineering, 2020

In this research, a specific period in time (from 1992 – 2018) with 8 -10 years’ timescales of La... more In this research, a specific period in time (from 1992 – 2018) with 8 -10 years’ timescales of Landsat satellite images were used for land cover classification. To detect land cover change combined classification method with clustering study area into 120 classes and further validation by Google Earth was performed. Our findings show significant land cover changes during the whole study period. Especially this related to grassland/scrubland/meadow/agriculture class, which was around 7000 km2 in 1992, and it dramatically fell to 3000 km2 in 2008 and reached 6000 km2 after ten years. Forest/parks/woodlands land cover class shows a tendency to increase and consisted of its maximum area 4000 km2, but then rapidly fell to 1600 km2 within the next ten years. Glaciers, in contrast, covered area of 1825 km2, but then starts steadily decline and finally reaches only 263 km2 in 2018. Bare soil and barren land starts from 3111 km2 and expands to 5640 km2 area in 2018. The same pattern shows ur...

IOP Conference Series: Earth and Environmental Science

A shift in the temperature of the canopy may signify stress in the plants. In laboratory and gree... more A shift in the temperature of the canopy may signify stress in the plants. In laboratory and greenhouse trials, using canopy temperature for the measurement salt stress in certain agricultural crops was thoroughly examined; however, its potential application in landscape-level investigations employing remote sensing methods has not yet been investigated at different time series. A satellite thermography for measuring the soil salinity of agricultural areas at the provincial level was the subject of our investigation. The research area was the irrigated, semi-arid, and salt-affected agricultural land appertain to Syrdarya province in Uzbekistan, which was mostly planted with wheat and cotton. The provincial soil salinity map was considered as a ground truth data and the moderate-resolution imaging spectroradiometer satellite (MODIS) data were perceived as an indication for canopy temperature in this study. We investigated the relationships between the soil salinity, the normalized di...

E3S Web of Conferences

This article presents the experimental results for determining the composition of the substrate, ... more This article presents the experimental results for determining the composition of the substrate, light and temperature for growing houseplants. Substrates were prepared in 8 different variants. The properties of the substrates were evaluated on the basis of 3 types: high, medium, and low. The amount of light required for the growth of houseplants is the result of a seasonal study. The effects of daily light fall and outdoor ambient temperature in the interior environment was studied for one year, and the results obtained were tabulated. According to the attitude of plants to light, they were divided into light-loving, semi-shade, shade-loving species.

InterCarto. InterGIS, 2020

This research focuses on determination of irrigation — drainage networks conditions, salinity of ... more This research focuses on determination of irrigation — drainage networks conditions, salinity of irrigated areas in Shavat district of Khorezm region (Uzbekistan) by geospatial analysis and giving recommendations for their elimination. Additionally, obtaining monthly ground truth data from observation wells and interpolate them with IDW interpolation algorithm methods of Geographic Information Systems (GIS) technologies in order to monitoring changes of groundwater level and mineralization in vegetation period of main agricultural crops are highlighted. Besides that, by using remote sensing technologies, the obtained data about the irrigation regime was determined in agricultural areas. As a result of the usage of GIS and RS methods, there have been created thematic maps on analysing salinity of soils, the actual condition of irrigation and collector of networks, actual level and mineralization of groundwater as well as their dynamic changes. On the basis of the obtained results, th...

E3S Web of Conferences, 2021

Badland reclamation and low productive farmlands always have been one of the most detrimental eff... more Badland reclamation and low productive farmlands always have been one of the most detrimental effects on the national economy, typically in agricultural sector of Uzbekistan. Nonetheless, such kind of lands has been used extensively for major crops like cotton and winter wheat. However, it is difficult to assessing real productivity of them. Advanced technologies as GIS and RS are vital tool for geospatially analysing and making decisions on this type of fields. This research was carried out for real-time crop monitoring and yield forecasting in case of low productive (3.5 ha) and high productive (8.3 ha) cotton areas of Jarkurgan district (Surkhandarya region, Uzbekistan) based on geospatial analyses of multi-temporal satellite images, condition of groundwater, soil salinity, and ground truth data. For monitoring vegetation phenology of cotton and forecasting its harvest, False Colour, NDVI (Normalized Difference Vegetation Index) and SI (Salinity Index) analyses of areas were carr...

International Journal of Psychosocial Rehabilitation, 2020

IOP Conference Series: Earth and Environmental Science, 2021

The mapping of agricultural land worldwide is exceptionally important since these maps provide a ... more The mapping of agricultural land worldwide is exceptionally important since these maps provide a robust foundation in regards to the open spatial database of agriculture. Mapping processes usually and initially take part in interactive creation maps of agricultural sectors. As a result, this enables agricultural experts and specialists to undertake interactive management and monitoring of all agricultural sectors. This study was carried out in the Bukhara region of Uzbekistan. The potential and most appropriate technology of creating an interactive map of agricultural sectors of the study area was developed using ArcGIS, MapInfo, and Global Mapper software, appertain to the family of up-to-the-date GIS technologies. This software was used in the creation of agricultural spatial data and thematic layers. The created thematic layer and database were integrated into the Java applet, thus a user working window was developed and an interactive agricultural map of Bukhara province of Uzbe...

The purpose of the study is to develop geoinformation support for electronic maps of agricultural... more The purpose of the study is to develop geoinformation support for electronic maps of agricultural design at the level of an individual agricultural enterprise. Research is carried out in the conditions of the Republic of Uzbekistan. To achieve this goal in a scientific article, the following tasks are solved: to consider the scientific foundations of the territorial organization of agricultural production on a landscape basis using geographic information systems and technologies; to substantiate the conceptual GIS model of electronic maps of agricultural design at the level of an individual agricultural enterprise; to develop a methodology and a general algorithm for creating and using a system of electronic maps in the process of agrolandscape design; develop a geodatabase structure for analysis; to assess the effectiveness of the use of GIS technologies for electronic maps of agricultural design.

The article presents the study results of changes in flow hydraulic parameters and morphometric e... more The article presents the study results of changes in flow hydraulic parameters and morphometric elements of the river in the area of the main dam intake structure. A model for studying the direction of flow and other parameters of the flow in the area of the main structure for obtaining water from the Amudarya without a dam has been developed. A functional graph of the depth dependence of the expenditure on the study object was obtained. Graphs of the functional dependence of the diurnal cross-section of the riverbed on the flow depth and the variation of the flow velocity depending on the flow depth were constructed. The direction and distribution of the flow in the area of the main dam intake structure were studied.