Pub Date : 2021-12-10DOI: 10.36023/ujrs.2021.8.4.204
I. Artemenko
The results of comparative analysis of data of data of changes CO2 concentrations in the atmosphere over the polar regions adjacent to the "Akademik Vernadsky" station (the size of the study area 1.5° × 1.5°, or approximately 166 km by 75 km) were obtained satellite Orbiting Carbon Observatory (OCO-2) and air temperature according to ground meteorological observations at the "Akademik Vernadsky" station for 2014-2020. From obtained graph, we can see that the air temperature and CO2 concentration in the atmosphere over the study area tend to increase slowly. In addition, the analysis of the above results showed that in this way it is possible to determine the integrated trends in the impact of greenhouse gas content in the atmosphere on air temperature. A comparative analysis of data of data of changes CO2 concentrations according to OCO-2 between regions where there is a direct anthropogenic impact (Ukraine) and the region where anthropogenic impact is minimized (areas adjacent to the "Akademik Vernadsky" station) for 2014-2020. It was found that CO2 concentrations over areas with direct anthropogenic impact are growing much faster than over areas where there is no such impact at all. However, we see that CO2 concentrations tend to increase in both cases. Based on the obtained results, it was determined that conducting a comprehensive, simultaneous and consistent with satellite observations measurements of various series of variables, will provide an opportunity to optimize information of changes in climatic parameters (air temperature) in the polar regions.
根据“沃尔纳德斯基院士”站2014-2020年地面气象观测资料，对“沃尔纳德斯基院士”站(研究区面积1.5°× 1.5°，约166 km × 75 km)附近极地地区大气CO2浓度变化数据进行对比分析，得到了OCO-2卫星轨道碳观测数据和气温数据。从图中可以看出，研究区上空的气温和大气中CO2浓度呈缓慢上升的趋势。此外，对上述结果的分析表明，通过这种方法可以确定大气中温室气体含量对气温影响的综合趋势。2014-2020年根据OCO-2对有直接人为影响的地区(乌克兰)和人为影响最小的地区(“维尔纳德斯基院士站”附近地区)的CO2浓度变化数据进行对比分析。研究发现，在有直接人为影响的地区，二氧化碳浓度的增长速度远远快于完全没有这种影响的地区。然而，我们看到，在这两种情况下，二氧化碳浓度都趋于增加。根据所获得的结果，确定对各种变量系列进行全面、同时和与卫星观测相一致的测量，将有机会优化极地气候参数(气温)变化的信息。
{"title":"The result of the comparative use of OCO-2 information to find the relationship between changes in the atmospheric concentration of CO2 and air temperature in the Argentine Islands and Ukraine.","authors":"I. Artemenko","doi":"10.36023/ujrs.2021.8.4.204","DOIUrl":"https://doi.org/10.36023/ujrs.2021.8.4.204","url":null,"abstract":"The results of comparative analysis of data of data of changes CO2 concentrations in the atmosphere over the polar regions adjacent to the \"Akademik Vernadsky\" station (the size of the study area 1.5° × 1.5°, or approximately 166 km by 75 km) were obtained satellite Orbiting Carbon Observatory (OCO-2) and air temperature according to ground meteorological observations at the \"Akademik Vernadsky\" station for 2014-2020. From obtained graph, we can see that the air temperature and CO2 concentration in the atmosphere over the study area tend to increase slowly. In addition, the analysis of the above results showed that in this way it is possible to determine the integrated trends in the impact of greenhouse gas content in the atmosphere on air temperature. A comparative analysis of data of data of changes CO2 concentrations according to OCO-2 between regions where there is a direct anthropogenic impact (Ukraine) and the region where anthropogenic impact is minimized (areas adjacent to the \"Akademik Vernadsky\" station) for 2014-2020. It was found that CO2 concentrations over areas with direct anthropogenic impact are growing much faster than over areas where there is no such impact at all. However, we see that CO2 concentrations tend to increase in both cases. Based on the obtained results, it was determined that conducting a comprehensive, simultaneous and consistent with satellite observations measurements of various series of variables, will provide an opportunity to optimize information of changes in climatic parameters (air temperature) in the polar regions.","PeriodicalId":113561,"journal":{"name":"Ukrainian journal of remote sensing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127555573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-10DOI: 10.36023/ujrs.2021.8.4.203
A. Khyzhniak, O. Fedorovskyi, Anatolii Porushkevych, T. Yefimenko
The article proposes the concept of forming the methodology of aerospace geomonitoring to solve problems of nature management based on a systems approach and the principles of structuring, interdisciplinarity and data integration. Theoretical bases of system analysis, methodology and modeling are given. The conceptual scheme of methodology creation is described, and the set of target installations with the basic modules which functioning provides reception of the information necessary for the decision of thematic tasks is resulted. Based on the scheme, the main causal relationships between the levels, which reflect the nature of the system methodology functioning are formed. It connects in a certain sequence the stages from the formation of the input concept to the specific solution of thematic issue on natural resources. To assess the demand for methodological principles and tools for solving problems of nature management based on the methodology of aerospace geomonitoring, the use of the hierarchy analysis method s proposed. This approach allowed evaluating the advantages and disadvantages of systems methods and obtaining for each of them a formalized summary assessment of the level relative demand of methodological tools. From the obtained results, it was determined that to date, according to the nature resource task considered in the article, the method based on the statistical criterion has the greatest demand. The article gives an example of approbation of methodical means of aerospace geomonitoring methodology for solving specific thematic tasks of nature management. The result of using the method based on statistical criteria to assess the man-made load of mining areas of the Kryvyi Rih industrial region, which plays a leading role in the economy of Ukraine and is the main raw material base for the development of ferrous metallurgy. Assessment of man-caused load was performed on the territory of 152 km2, for three levels of load: light - 3 points, medium - 6 points and heavy – 9 points.
{"title":"The concept formation of the aerospace geomonitoring methodology of the decision of problems in natural resource","authors":"A. Khyzhniak, O. Fedorovskyi, Anatolii Porushkevych, T. Yefimenko","doi":"10.36023/ujrs.2021.8.4.203","DOIUrl":"https://doi.org/10.36023/ujrs.2021.8.4.203","url":null,"abstract":"The article proposes the concept of forming the methodology of aerospace geomonitoring to solve problems of nature management based on a systems approach and the principles of structuring, interdisciplinarity and data integration. Theoretical bases of system analysis, methodology and modeling are given. The conceptual scheme of methodology creation is described, and the set of target installations with the basic modules which functioning provides reception of the information necessary for the decision of thematic tasks is resulted. Based on the scheme, the main causal relationships between the levels, which reflect the nature of the system methodology functioning are formed. It connects in a certain sequence the stages from the formation of the input concept to the specific solution of thematic issue on natural resources. To assess the demand for methodological principles and tools for solving problems of nature management based on the methodology of aerospace geomonitoring, the use of the hierarchy analysis method s proposed. This approach allowed evaluating the advantages and disadvantages of systems methods and obtaining for each of them a formalized summary assessment of the level relative demand of methodological tools. From the obtained results, it was determined that to date, according to the nature resource task considered in the article, the method based on the statistical criterion has the greatest demand. The article gives an example of approbation of methodical means of aerospace geomonitoring methodology for solving specific thematic tasks of nature management. The result of using the method based on statistical criteria to assess the man-made load of mining areas of the Kryvyi Rih industrial region, which plays a leading role in the economy of Ukraine and is the main raw material base for the development of ferrous metallurgy. Assessment of man-caused load was performed on the territory of 152 km2, for three levels of load: light - 3 points, medium - 6 points and heavy – 9 points.","PeriodicalId":113561,"journal":{"name":"Ukrainian journal of remote sensing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115550609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-10DOI: 10.36023/ujrs.2021.8.4.205
A. Kuzmin, L. Grekov, Georgii Veriuzhskyi, Oleksii Petrov
The paper considers the problem of using images from SAR satellites for the identification of seagoing vessels. It describes the main functions of software and technological complex of the automated monitoring. The system is operated with utilizing space images of SAR satellites Sentinel 1A (B). The algorithmic part, which implements the detection on the sea surface the marks associated with ships, is described in details. To reduce the impact of speckle-noise, the image is pre-processed with the improved Lee-filter. Further processing lies in using an adaptive threshold algorithm that provides detection for each local background fragment of the image the unusually bright pixels, at the same time the algorithm provides a constant probability of error. By solving a nonlinear equation, for each position of the background window the algorithm finds the threshold brightness value and then all pixels above this value are considered vessels. In advance the evaluation of parameters of statistical distribution of pixels’ brightness is performed for each position of the background window. K-mean is used for such distribution. The selected bright pixels are combined into compact groups and their size and coordinates are being determined. The obtained results are compared with the data of the AIS, Automatic Identification System of ships, and the results are displayed on a cartographic basis.
本文探讨了利用合成孔径雷达卫星图像识别海船的问题。它描述了自动监测的软件和技术综合体的主要功能。该系统利用 SAR 卫星 Sentinel 1A (B) 的空间图像运行。详细介绍了在海面上检测与船舶有关的标记的算法部分。为减少斑点噪声的影响，使用改进的李氏滤波器对图像进行预处理。进一步的处理在于使用自适应阈值算法，为图像的每个局部背景片段提供异常亮像素的检测，同时该算法提供恒定的错误概率。通过求解一个非线性方程，算法会为背景窗口的每个位置找到阈值亮度值，然后将所有高于该值的像素视为船只。事先要对背景窗口每个位置的像素亮度统计分布参数进行评估。K-mean 值用于这种分布。将选定的亮像素组合成紧凑的组，并确定其大小和坐标。将获得的结果与船舶自动识别系统（AIS）的数据进行比较，并将结果显示在地图上。
{"title":"Software and technological complex of identification of sea vessels based on the use of radar space images Sentinel 1","authors":"A. Kuzmin, L. Grekov, Georgii Veriuzhskyi, Oleksii Petrov","doi":"10.36023/ujrs.2021.8.4.205","DOIUrl":"https://doi.org/10.36023/ujrs.2021.8.4.205","url":null,"abstract":"The paper considers the problem of using images from SAR satellites for the identification of seagoing vessels. It describes the main functions of software and technological complex of the automated monitoring. The system is operated with utilizing space images of SAR satellites Sentinel 1A (B). The algorithmic part, which implements the detection on the sea surface the marks associated with ships, is described in details. To reduce the impact of speckle-noise, the image is pre-processed with the improved Lee-filter. Further processing lies in using an adaptive threshold algorithm that provides detection for each local background fragment of the image the unusually bright pixels, at the same time the algorithm provides a constant probability of error. By solving a nonlinear equation, for each position of the background window the algorithm finds the threshold brightness value and then all pixels above this value are considered vessels. In advance the evaluation of parameters of statistical distribution of pixels’ brightness is performed for each position of the background window. K-mean is used for such distribution. The selected bright pixels are combined into compact groups and their size and coordinates are being determined. The obtained results are compared with the data of the AIS, Automatic Identification System of ships, and the results are displayed on a cartographic basis.","PeriodicalId":113561,"journal":{"name":"Ukrainian journal of remote sensing","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126824511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-21DOI: 10.36023/ujrs.2021.8.3.200
O. Sedlerova, O. Arkhipov, S. Golubov, A. Bondarenko
The article is devoted to the topical problem of forecasting oil and gas promising objects using the latest remote sensing technologies. The proposed new approach to obtaining field verification data is an essential component of the methodology for solving oil and gas prospecting problems on land (satellite technology).Experimental field studies were carried out using the Ocean Optics STS-VIS Developers kit spectroradiometer installed on a quadcopter. Using the example of the Vostochnorogintsevska area, which is part of the Talalaevska-Rybaltsy oil and gas region of the Dnieper-Donetsk oil and gas region, the main stages of the developed method are demonstrated: a model of the fault-block structure was created, the neotectonic features of this area and its local blocks were estimated, photometric measurements of a multispectral satellite image along the route were carried out, birch leaves were sampled again along the same route for spectrometry using the ASD FieldSpec 3 FR instrument.The main objective of the experiment was to carry out field measurements with the Ocean Optics STS-VIS Developers kit spectroradiometer along a route that repeats the routes of measurements with spectrometers carried out earlier. The results showed that the optical anomaly, which is identified with a hydrocarbon accumulation, along the profile at the Vostochnorogintsevska area corresponds to the segment between points 15-26.The same anomaly has been established with the spectrometry device ASD FieldSpec 3 FR (2009 and 2021), the instrument SF-18 (1999 and 2004). Sufficiently accurately allocated transition from object to background, which corresponds to the boundary of the deposit on the drilling data (point 16 on the profile), i.e. has been confirmed in principle the possibility of allocating a low-intensity optical anomalies over hydrocarbon reservoirs using spectroradiometer STS-VIS Developers kit, mounted on quadrocopter.
{"title":"Experimental study on the use of unmanned aerial vehicles for the prediction of oil and gas facilities","authors":"O. Sedlerova, O. Arkhipov, S. Golubov, A. Bondarenko","doi":"10.36023/ujrs.2021.8.3.200","DOIUrl":"https://doi.org/10.36023/ujrs.2021.8.3.200","url":null,"abstract":"The article is devoted to the topical problem of forecasting oil and gas promising objects using the latest remote sensing technologies. The proposed new approach to obtaining field verification data is an essential component of the methodology for solving oil and gas prospecting problems on land (satellite technology).Experimental field studies were carried out using the Ocean Optics STS-VIS Developers kit spectroradiometer installed on a quadcopter. Using the example of the Vostochnorogintsevska area, which is part of the Talalaevska-Rybaltsy oil and gas region of the Dnieper-Donetsk oil and gas region, the main stages of the developed method are demonstrated: a model of the fault-block structure was created, the neotectonic features of this area and its local blocks were estimated, photometric measurements of a multispectral satellite image along the route were carried out, birch leaves were sampled again along the same route for spectrometry using the ASD FieldSpec 3 FR instrument.The main objective of the experiment was to carry out field measurements with the Ocean Optics STS-VIS Developers kit spectroradiometer along a route that repeats the routes of measurements with spectrometers carried out earlier. The results showed that the optical anomaly, which is identified with a hydrocarbon accumulation, along the profile at the Vostochnorogintsevska area corresponds to the segment between points 15-26.The same anomaly has been established with the spectrometry device ASD FieldSpec 3 FR (2009 and 2021), the instrument SF-18 (1999 and 2004). Sufficiently accurately allocated transition from object to background, which corresponds to the boundary of the deposit on the drilling data (point 16 on the profile), i.e. has been confirmed in principle the possibility of allocating a low-intensity optical anomalies over hydrocarbon reservoirs using spectroradiometer STS-VIS Developers kit, mounted on quadrocopter.","PeriodicalId":113561,"journal":{"name":"Ukrainian journal of remote sensing","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132324990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-21DOI: 10.36023/ujrs.2021.8.3.201
S. Alpert
Nowadays technologies of UAV-based Remote Sensing are used in different areas, such as: ecological monitoring, agriculture tasks, exploring for minerals, oil and gas, forest monitoring and warfare. Drones provide information more rapidly than piloted aerial vehicles and give images of a very high resolution, sufficiently low cost and high precision.Let’s note, that processing of conflicting information is the most important task in remote sensing. Dempster’s rule of data combination is widely used in solution of different remote sensing tasks, because it can processes incomplete and vague information. However, Dempster’s rule has some disadvantage, it can not deal with highly conflicted data. This rule of data combination yields wrong results, when bodies of evidence highly conflict with each other. That’s why it was proposed a data combination method in UAV-based Remote Sensing. This method has several important advantages: simple calculation and high accuracy. In this paper data combination method based on application of Jaccard coefficient and Dempster’s rule of combination is proposed. The described method can deal with conflicting sources of information. This data combination method based on application of evidence theory and Jaccard coefficient takes into consideration the associative relationship of the evidences and can efficiently handle highly conflicting sources of data (spectral bands).The frequency approach to determine basic probability assignment and formula to determine Jaccard coefficient are described in this paper too. Jaccard coefficient is defined as the size of the intersection divided by the size of the union of the sample sets. Jaccard coefficient measures similarity between finite sets. Some numerical examples of calculation of Jaccard coefficient and basic probability assignments are considered in this work too.This data combination method based on application of Jaccard coefficient and Dempster’s rule of combination can be applied in exploring for minerals, different agricultural, practical and ecological tasks.
{"title":"Data combination method in Remote Sensing tasks in case of conflicting information sources","authors":"S. Alpert","doi":"10.36023/ujrs.2021.8.3.201","DOIUrl":"https://doi.org/10.36023/ujrs.2021.8.3.201","url":null,"abstract":"Nowadays technologies of UAV-based Remote Sensing are used in different areas, such as: ecological monitoring, agriculture tasks, exploring for minerals, oil and gas, forest monitoring and warfare. Drones provide information more rapidly than piloted aerial vehicles and give images of a very high resolution, sufficiently low cost and high precision.Let’s note, that processing of conflicting information is the most important task in remote sensing. Dempster’s rule of data combination is widely used in solution of different remote sensing tasks, because it can processes incomplete and vague information. However, Dempster’s rule has some disadvantage, it can not deal with highly conflicted data. This rule of data combination yields wrong results, when bodies of evidence highly conflict with each other. That’s why it was proposed a data combination method in UAV-based Remote Sensing. This method has several important advantages: simple calculation and high accuracy. In this paper data combination method based on application of Jaccard coefficient and Dempster’s rule of combination is proposed. The described method can deal with conflicting sources of information. This data combination method based on application of evidence theory and Jaccard coefficient takes into consideration the associative relationship of the evidences and can efficiently handle highly conflicting sources of data (spectral bands).The frequency approach to determine basic probability assignment and formula to determine Jaccard coefficient are described in this paper too. Jaccard coefficient is defined as the size of the intersection divided by the size of the union of the sample sets. Jaccard coefficient measures similarity between finite sets. Some numerical examples of calculation of Jaccard coefficient and basic probability assignments are considered in this work too.This data combination method based on application of Jaccard coefficient and Dempster’s rule of combination can be applied in exploring for minerals, different agricultural, practical and ecological tasks.","PeriodicalId":113561,"journal":{"name":"Ukrainian journal of remote sensing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125945876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-21DOI: 10.36023/ujrs.2021.8.3.199
Z. Tovstyuk, S. Yesipovich, O. Titarenko, Svitlana Semenova, T. Yefimenko, M. Svideniuk, O. Rybak, A. Bondarenko, Olena Holovashchuk, Iryna Lazarenko
In order to elaborate the neotectonic structure and improve the searching algorithm of new hydrocarbon traps at prospective areas, detailed airspace geological investigation has been carried out. For this study, the selected cross-section Dniprovsko-Donetska depression is the regional seismic profile Lozova-Shebelinka-Staropokrovka within the Shebelinska structure zone.In particular, the investigations consisted of structural and geomorphological analysis, analysis of the hourly seismic profile Lozovaya-Shebelinka-Staropokrovka and analysis of thermal anomalies and structural interpretation by using satellite images. This approach allowed to explore the Shebelinska structure zone and the East-Shebelinska depression for hydrocarbon traps feature properties detecting in Paleozoic sediments.Based on the results of the initial data processing, we established that Paleozoic complex cannot create hydrocarbon deposits, both due to low reservoir properties and due to insufficiently studied structure. Neotectonically, the Shebelinskaya structure looks like a dome-shaped uplift. This uplift is divided by a ravine-gully network into neotectonic blocks. Productive wells are located within the most active blocks.
{"title":"Detailed investigation algorithm for hydrocarbons deposits exploration in terms of the Shebelynske gas-condensate field","authors":"Z. Tovstyuk, S. Yesipovich, O. Titarenko, Svitlana Semenova, T. Yefimenko, M. Svideniuk, O. Rybak, A. Bondarenko, Olena Holovashchuk, Iryna Lazarenko","doi":"10.36023/ujrs.2021.8.3.199","DOIUrl":"https://doi.org/10.36023/ujrs.2021.8.3.199","url":null,"abstract":"In order to elaborate the neotectonic structure and improve the searching algorithm of new hydrocarbon traps at prospective areas, detailed airspace geological investigation has been carried out. For this study, the selected cross-section Dniprovsko-Donetska depression is the regional seismic profile Lozova-Shebelinka-Staropokrovka within the Shebelinska structure zone.In particular, the investigations consisted of structural and geomorphological analysis, analysis of the hourly seismic profile Lozovaya-Shebelinka-Staropokrovka and analysis of thermal anomalies and structural interpretation by using satellite images. This approach allowed to explore the Shebelinska structure zone and the East-Shebelinska depression for hydrocarbon traps feature properties detecting in Paleozoic sediments.Based on the results of the initial data processing, we established that Paleozoic complex cannot create hydrocarbon deposits, both due to low reservoir properties and due to insufficiently studied structure. Neotectonically, the Shebelinskaya structure looks like a dome-shaped uplift. This uplift is divided by a ravine-gully network into neotectonic blocks. Productive wells are located within the most active blocks.","PeriodicalId":113561,"journal":{"name":"Ukrainian journal of remote sensing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115187548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-21DOI: 10.36023/ujrs.2021.8.3.198
Lyidmila Lischenko, A. Kudryashov
Zaporizhzhia is one of the largest industrial cities located in the central steppe part of Ukraine on both banks of the Dnieper. The presence of a large number of metallurgical, mechanical engineering, chemical and construction industrial facilities forms a powerful thermal island (UHI) which size varies in space and time. The distribution of surface temperatures within the thermal anomaly is influenced by the landscape-functional use of the territory and the established changes that occurred during the 33-year period according to the data obtained from the thermal channels of the Landsat series. The average increase in the land surface temperatures (LST) calculated for this period was 0.149 оС per year for July. The analysis of LST temperature curves according to the data of July and August has been carried out for three profiles that cross the majority of the landscape-functional areas of the city (residential, industrial and post-industrial). The landscape characteristics expressed in the satellite image as land cover are divided on the surface with a decreasing and increasing effect of temperature compared to the mean. Over time, a decrease in contrast between different land cover has been observed due to greater heating of the entire surface over the city and the establishment of a stable effect of UHI with an excess up to 14 оС in industrial areas. The annual increase in LST is in the range from 0.15 to 0.30 оС for the majority of the city. The maximum increase in temperature to 0.6 оС per year has been observed in the densely built-up Pivdennyi residential area and in the zones of industrial facilities in the Factory district of Zaporizhya. Only landscapes of water surfaces and separate agricultural croplands have a reducing thermal effect while the natural cover under meadows, wastelands and even wood vegetation within the city warms up to the mean values. Comparisons of the mean for the whole city of July and August LST has showed the rate of July to be 8 оС higher and temperature fluctuations in August become less amplitude by 2–3 оС.
{"title":"The results of the study of spatio-temporal changes in surface temperatures of Zaporizhya based on satellite data","authors":"Lyidmila Lischenko, A. Kudryashov","doi":"10.36023/ujrs.2021.8.3.198","DOIUrl":"https://doi.org/10.36023/ujrs.2021.8.3.198","url":null,"abstract":"Zaporizhzhia is one of the largest industrial cities located in the central steppe part of Ukraine on both banks of the Dnieper. The presence of a large number of metallurgical, mechanical engineering, chemical and construction industrial facilities forms a powerful thermal island (UHI) which size varies in space and time. The distribution of surface temperatures within the thermal anomaly is influenced by the landscape-functional use of the territory and the established changes that occurred during the 33-year period according to the data obtained from the thermal channels of the Landsat series. The average increase in the land surface temperatures (LST) calculated for this period was 0.149 оС per year for July. The analysis of LST temperature curves according to the data of July and August has been carried out for three profiles that cross the majority of the landscape-functional areas of the city (residential, industrial and post-industrial). The landscape characteristics expressed in the satellite image as land cover are divided on the surface with a decreasing and increasing effect of temperature compared to the mean. Over time, a decrease in contrast between different land cover has been observed due to greater heating of the entire surface over the city and the establishment of a stable effect of UHI with an excess up to 14 оС in industrial areas. The annual increase in LST is in the range from 0.15 to 0.30 оС for the majority of the city. The maximum increase in temperature to 0.6 оС per year has been observed in the densely built-up Pivdennyi residential area and in the zones of industrial facilities in the Factory district of Zaporizhya. Only landscapes of water surfaces and separate agricultural croplands have a reducing thermal effect while the natural cover under meadows, wastelands and even wood vegetation within the city warms up to the mean values. Comparisons of the mean for the whole city of July and August LST has showed the rate of July to be 8 оС higher and temperature fluctuations in August become less amplitude by 2–3 оС.","PeriodicalId":113561,"journal":{"name":"Ukrainian journal of remote sensing","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128408241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-21DOI: 10.36023/ujrs.2021.8.3.197
M. Svideniuk
The methodology of multispectral optical and dual-polarized radar satellite data fusion for soils physical parameters estimation is developed. In particular, the methodology comprises relative permittivity estimation based on the Integral Equation Model (IEM) by using high resolution Sentinel-1 GRDH radar data. The calibration of ε was provided based on the compensation of soil acidity and temperature destabilizing effects. High-resolution multispectral images PlanetScope were used for vegetation indices and thermal emissivity estimation. Both, low-resolution MODIS and medium resolution Landsat-7/8 ETM+/TIRS thermal infrared images were processed in order to estimate ground plane thermodynamic temperature. An investigated approach for the radar signal depolarization compensation is based on local signal deviations and surface roughness estimation. The relief heterogeneity is restored based on the medium-resolution digital terrain elevation model ALOS AWD3D. Aiming to evaluate the accuracy of a soil moisture estimation model designed based on the presented methodology, ground truth measurements were carried out. Specifically, they included soil samples retrieving for the gravimetric soil moisture. In addition, the soil acidity and temperature were measured by applying the GM1312 differential thermometer and WALCOM multifunction device. The estimated parameters and ground truth data were used in order to retrieve the soil moisture based on the multivatiative regression dependence. Root mean square error of soil moisture retrieving was estimated as 4,73 %. Such accuracy is completely acceptable for the soil moisture monitoring of natural-reserved fund territories
{"title":"Methodology for determining the physical parameters of ground plane by the results of the optical and radar data fusion","authors":"M. Svideniuk","doi":"10.36023/ujrs.2021.8.3.197","DOIUrl":"https://doi.org/10.36023/ujrs.2021.8.3.197","url":null,"abstract":"The methodology of multispectral optical and dual-polarized radar satellite data fusion for soils physical parameters estimation is developed. In particular, the methodology comprises relative permittivity estimation based on the Integral Equation Model (IEM) by using high resolution Sentinel-1 GRDH radar data. The calibration of ε was provided based on the compensation of soil acidity and temperature destabilizing effects. High-resolution multispectral images PlanetScope were used for vegetation indices and thermal emissivity estimation. Both, low-resolution MODIS and medium resolution Landsat-7/8 ETM+/TIRS thermal infrared images were processed in order to estimate ground plane thermodynamic temperature. An investigated approach for the radar signal depolarization compensation is based on local signal deviations and surface roughness estimation. The relief heterogeneity is restored based on the medium-resolution digital terrain elevation model ALOS AWD3D. Aiming to evaluate the accuracy of a soil moisture estimation model designed based on the presented methodology, ground truth measurements were carried out. Specifically, they included soil samples retrieving for the gravimetric soil moisture. In addition, the soil acidity and temperature were measured by applying the GM1312 differential thermometer and WALCOM multifunction device. The estimated parameters and ground truth data were used in order to retrieve the soil moisture based on the multivatiative regression dependence. Root mean square error of soil moisture retrieving was estimated as 4,73 %. Such accuracy is completely acceptable for the soil moisture monitoring of natural-reserved fund territories","PeriodicalId":113561,"journal":{"name":"Ukrainian journal of remote sensing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128369206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-21DOI: 10.36023/ujrs.2021.8.3.202
Si Casre
A brief review of the biography and scientific achievements of Academician of the NAS of Ukraine V.I. Lyalko on the occasion of the 90th Аnniversary.
在90周年之际，简要回顾乌克兰国家科学院院士利亚尔科的生平和科学成就Аnniversary。
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Pub Date : 2021-06-13DOI: 10.36023/ujrs.2021.8.2.195
S. Dovgyi, S. Babiichuk, O. Tomchenko, V. Lyalko
This article describes the results of a training course for teachers, "Fundamentals of Remote Sensing: History and Practice", which was organized by the "GIS and Remote Sensing" Laboratory of the National Center "Junior Academy of Sciences of Ukraine." The article discusses the preconditions for the training course organization and ways of remote sensing data application in the educational process. It also provides examples of individual research by training course participants, which were presented at the closing conference.
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