Pub Date : 2021-06-12DOI: 10.36023/ujrs.2021.8.2.193
V. Lyalko, G. Zholobak, S. Dugin, O. Sybirtseva, Yelizaveta Dorofey
For the vegetation classes, which cover the ground surface with a rather small area and studied by means of the ground-based remote sensors it’s necessary to select the suitable spectral indices, which cloud responded in a fast and effective way to dynamic environmental conditions induced by the different stress factors. The vegetation indices (VIs) can be such indicators calculated by the mathematical operations using reflectances in the different spectral ranges measured by the field remote sensors, i.e. spectroradiometers. Application of VIs allows identifying these changes of vegetation state, which aren’t visible at the visual observation. In order to select these VIs we have conducted the laboratory experiment with the cultivation of durum spring wheat variety “Diana” at the different higher seeding rates to provide by this way, first, the fast 100% plant cover, and, second, establish the stressed conditions for the plants. During this experiment the gasometric and spectrometric observation of the constantly growing phytomass carried out, when the measurements of intensity of СО2 absorption and release by the plants in process of photosynthesis/respiration and spectrometric ones have been performed practically simultaneously that allowed further calculation of VIs. Three vegetation indices such as MTCI, Clrededge and Clgreen were identified as the most sensitive to the changes of vegetation state and, thus, they can serve as the proper spectral indicators of vegetation condition, which are extremely necessary to develop the technique of estimating the variables of carbon cycle in the different ecosystems using satellite data and field measurements, improve of assessment for the climatic effects at the regional and local levels and estimating the IAEG-SDGs indicators of sustainable development.
{"title":"Identifying vegetation indices as the rational spectral indicators of vegetation state under conditions of laboratory experiment","authors":"V. Lyalko, G. Zholobak, S. Dugin, O. Sybirtseva, Yelizaveta Dorofey","doi":"10.36023/ujrs.2021.8.2.193","DOIUrl":"https://doi.org/10.36023/ujrs.2021.8.2.193","url":null,"abstract":"For the vegetation classes, which cover the ground surface with a rather small area and studied by means of the ground-based remote sensors it’s necessary to select the suitable spectral indices, which cloud responded in a fast and effective way to dynamic environmental conditions induced by the different stress factors. The vegetation indices (VIs) can be such indicators calculated by the mathematical operations using reflectances in the different spectral ranges measured by the field remote sensors, i.e. spectroradiometers. Application of VIs allows identifying these changes of vegetation state, which aren’t visible at the visual observation. In order to select these VIs we have conducted the laboratory experiment with the cultivation of durum spring wheat variety “Diana” at the different higher seeding rates to provide by this way, first, the fast 100% plant cover, and, second, establish the stressed conditions for the plants. During this experiment the gasometric and spectrometric observation of the constantly growing phytomass carried out, when the measurements of intensity of СО2 absorption and release by the plants in process of photosynthesis/respiration and spectrometric ones have been performed practically simultaneously that allowed further calculation of VIs. Three vegetation indices such as MTCI, Clrededge and Clgreen were identified as the most sensitive to the changes of vegetation state and, thus, they can serve as the proper spectral indicators of vegetation condition, which are extremely necessary to develop the technique of estimating the variables of carbon cycle in the different ecosystems using satellite data and field measurements, improve of assessment for the climatic effects at the regional and local levels and estimating the IAEG-SDGs indicators of sustainable development.","PeriodicalId":113561,"journal":{"name":"Ukrainian journal of remote sensing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125344328","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 : 2021-06-12DOI: 10.36023/ujrs.2021.8.2.194
V. Martyniuk, O. Tomchenko
The problem of transformation of lakes of Polissya region under the influence of global climate changes, and also anthropogenic factors in basin systems (drainage reclamation, agrarian nature use and chemicalization of watershed soils, growth of residential lands, uncontrolled extraction of water from underground horizons, unauthorized extraction of amber, etc.), which lead to the reduction of water bodies, acceleration of sedimentation, eutrophication and, as a consequence, transformation into lake-swamp complexes are substantiated. The main stages of field researches, features of decryption of lakes by space images, the essence of the concept of «paleo-lake» and natural aquatic complex (NAC) have been revealed. An algorithm scheme of research of natural-anthropogenic transformations of the lake with the use of remote sensing and GIS technologies has been proposed. With the help of the Google Earth resource the estimation of changes of parameters of the areas of model lakes of Volyn Polissya is carried out, and on an example of Bilske lake the changes in the area of the reservoir from the «paleo-lake» to the modern boundaries of the shoreline and water area have been analyzed. The hydrological and limnological parameters of Bilske lake have been analyzed. Based on the analysis of high-resolution space images (Sentinel-1, Sentinel-2, Landsat) in different spectral channels, the ecological condition of the lake has been assessed by the vegetation index (NDVI), the dynamics of the thermal regime of the lake surface has been analyzed and the reservoir temperature changed during 2017-2021. A digital landscape map of Bilske lake, with the separation of aqua facies has been presented and landscape-assessment of NAC has been done. In the course of the research, the tendency to increase of temperatures of a reservoir has been established. The proposed approach using remote sensing tools to assess the ecological status of lakes is effective in methodological and practical terms. Along with instrumental and laboratory methods, it is expedient to use it for the creation of ecological passports of reservoirs, monitoring of lakes of reserved and recreational territories, long-term forecasting of development of aquatic complexes in the conditions of natural and anthropogenic transformations.
{"title":"The use of remote sensing of the Earth to assess the natural and anthropogenic transformations of lakes in the Polissya region","authors":"V. Martyniuk, O. Tomchenko","doi":"10.36023/ujrs.2021.8.2.194","DOIUrl":"https://doi.org/10.36023/ujrs.2021.8.2.194","url":null,"abstract":"The problem of transformation of lakes of Polissya region under the influence of global climate changes, and also anthropogenic factors in basin systems (drainage reclamation, agrarian nature use and chemicalization of watershed soils, growth of residential lands, uncontrolled extraction of water from underground horizons, unauthorized extraction of amber, etc.), which lead to the reduction of water bodies, acceleration of sedimentation, eutrophication and, as a consequence, transformation into lake-swamp complexes are substantiated. The main stages of field researches, features of decryption of lakes by space images, the essence of the concept of «paleo-lake» and natural aquatic complex (NAC) have been revealed. An algorithm scheme of research of natural-anthropogenic transformations of the lake with the use of remote sensing and GIS technologies has been proposed. With the help of the Google Earth resource the estimation of changes of parameters of the areas of model lakes of Volyn Polissya is carried out, and on an example of Bilske lake the changes in the area of the reservoir from the «paleo-lake» to the modern boundaries of the shoreline and water area have been analyzed. The hydrological and limnological parameters of Bilske lake have been analyzed. Based on the analysis of high-resolution space images (Sentinel-1, Sentinel-2, Landsat) in different spectral channels, the ecological condition of the lake has been assessed by the vegetation index (NDVI), the dynamics of the thermal regime of the lake surface has been analyzed and the reservoir temperature changed during 2017-2021. A digital landscape map of Bilske lake, with the separation of aqua facies has been presented and landscape-assessment of NAC has been done. In the course of the research, the tendency to increase of temperatures of a reservoir has been established. The proposed approach using remote sensing tools to assess the ecological status of lakes is effective in methodological and practical terms. Along with instrumental and laboratory methods, it is expedient to use it for the creation of ecological passports of reservoirs, monitoring of lakes of reserved and recreational territories, long-term forecasting of development of aquatic complexes in the conditions of natural and anthropogenic transformations.","PeriodicalId":113561,"journal":{"name":"Ukrainian journal of remote sensing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127700690","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 : 2021-02-09DOI: 10.36023/UJRS.2021.8.1.186
S. Alpert
Nowadays unmanned aerial vehicles (drones) are applied for solution numerous remote sensing tasks. They give a new opportunites for conducting environmental monitoring and give images with a very high resolution. Unmanned aerial vehicles are applied for solution numerous agricultural problems. They give a detail picture of fields. Unmanned aerial vehicles are used to help increase crop production. With technology constantly improving, imaging of the crops will need to improve as well.Digital images obtained by unmanned aerial vehicles (drones) can be used in forestry, they are used for environmental monitoring, plant health assessment and analysis of natural disasters. Unmanned aerial vehicles are also used for mining, they are applied for mapping deposit sites, exploring for oil and gas, surveying mines.Laser gyroscope is an essential component of a drones flight control system. Laser gyroscopes provides orientation control of drone and essential navigation information to the central flight control systems. Laser gyroscopes provide navigation information to the flight controller, which make drones easier and safer to fly. Laser gyroscope is one of the most important components, allowing the drone to fly smooth even in strong winds. The smooth flight capabilities allows us to get images with high precision.Nowadays the main function of gyroscope technologies is to improve the unmanned aerial vehicles flight capabilities. It was described a structure and main characteristics of laser gyroscopes. It was noted, that laser gyroscope is operated on the principle of the Sagnac effect. Sagnac effect is a phenomenon encountered in interferometry that is elicited by rotation. It were described main advantages and disadvantages of laser gyroscopes. A comparative analysis of mechanical and laser gyroscopes was carried out too.It also was noted, that laser gyroscopes are applied in different areas, such as: inertial navigation systems, aircraft, ships, unmanned aerial vehicles (drones) and satellites. Nowadays laser technology is developed further. There are all prerequisites for improving the precision and other technical characteristics of laser gyroscopes.
{"title":"Main characteristics and perspectives of development of laser gyroscopes","authors":"S. Alpert","doi":"10.36023/UJRS.2021.8.1.186","DOIUrl":"https://doi.org/10.36023/UJRS.2021.8.1.186","url":null,"abstract":"Nowadays unmanned aerial vehicles (drones) are applied for solution numerous remote sensing tasks. They give a new opportunites for conducting environmental monitoring and give images with a very high resolution. Unmanned aerial vehicles are applied for solution numerous agricultural problems. They give a detail picture of fields. Unmanned aerial vehicles are used to help increase crop production. With technology constantly improving, imaging of the crops will need to improve as well.Digital images obtained by unmanned aerial vehicles (drones) can be used in forestry, they are used for environmental monitoring, plant health assessment and analysis of natural disasters. Unmanned aerial vehicles are also used for mining, they are applied for mapping deposit sites, exploring for oil and gas, surveying mines.Laser gyroscope is an essential component of a drones flight control system. Laser gyroscopes provides orientation control of drone and essential navigation information to the central flight control systems. Laser gyroscopes provide navigation information to the flight controller, which make drones easier and safer to fly. Laser gyroscope is one of the most important components, allowing the drone to fly smooth even in strong winds. The smooth flight capabilities allows us to get images with high precision.Nowadays the main function of gyroscope technologies is to improve the unmanned aerial vehicles flight capabilities. It was described a structure and main characteristics of laser gyroscopes. It was noted, that laser gyroscope is operated on the principle of the Sagnac effect. Sagnac effect is a phenomenon encountered in interferometry that is elicited by rotation. It were described main advantages and disadvantages of laser gyroscopes. A comparative analysis of mechanical and laser gyroscopes was carried out too.It also was noted, that laser gyroscopes are applied in different areas, such as: inertial navigation systems, aircraft, ships, unmanned aerial vehicles (drones) and satellites. Nowadays laser technology is developed further. There are all prerequisites for improving the precision and other technical characteristics of laser gyroscopes.","PeriodicalId":113561,"journal":{"name":"Ukrainian journal of remote sensing","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116299560","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 : 2020-12-19DOI: 10.36023/ujrs.2020.27.185
Si Casre
We would like to thank everyone who has helped us by peer reviewing articles submitted to the Ukrainian Journal of Remote Sensing in 2020. By way of thanks here is a list of everyone who has given their time to write a review
{"title":"Thanks to the Reviewers of the Journal in 2020","authors":"Si Casre","doi":"10.36023/ujrs.2020.27.185","DOIUrl":"https://doi.org/10.36023/ujrs.2020.27.185","url":null,"abstract":"We would like to thank everyone who has helped us by peer reviewing articles submitted to the Ukrainian Journal of Remote Sensing in 2020. By way of thanks here is a list of everyone who has given their time to write a review","PeriodicalId":113561,"journal":{"name":"Ukrainian journal of remote sensing","volume":"6 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131575631","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 : 2020-12-10DOI: 10.36023/ujrs.2020.27.183
O. Azimov, Oleksandr Schevchuk, K. Azimova, Yelizaveta Dorofey, O. Tomchenko
The article highlights the possibilities of using the technologies of remote sensing of the Earth (RSE) and geographic information systems (GIS) for monitoring studies of pollution factors of the environment within the municipal solid waste (MSW) dumps and landfill areas as well when the assessing their impact on the landscape components. The main purpose of the investigation is to formulate the general principles of creation and to determine the main components of the information system of geomonitoring of areas of impact of the MSW disposal landfills as part of an information-analytical system of analysis of the risk of emergencies of man-made and natural character, aimed at ensuring sustainable regional development of Ukraine. During the research of the Kyiv’s Oblast territory, space imagery from IRS satellites was used. For detailed exploration of the individual sites where the largest landfill sites and areas are located (northern Obukhiv district, Bila Tserkva district, Trypillya district), were also used images from the Quick Bird satellite. The improvement of the characteristics of the Kyiv’s landfill No 5 at the north of the Obukhiv district used the unmanned aerial vehicle data. Some of the factors that have a negative environmental impact on the environment and the population of MSW disposal landfills and the possibilities of monitoring them by RSE methods are considered in the article. As a result it has been shown that the RSE data integrated to GIS allow to obtain accurate information about the current state of the studied area quickly, to conduct timely monitoring and forecasting the development of negative phenomena and processes, which significantly increases the level of environmental safety at national, regional and site levels and provides an opportunity to develop a set of measures to reduce the environmental impact of MSW disposal landfills. The situation with waste, especially domestic waste in Kyiv’s Oblast, is getting worse every year. As a result, there is an increasing threat to human and environmental health. The obtained results show that one of the reasons for the current situation is the selection of unfavorable sites for the allocation of waste disposal landfills.
{"title":"Integration of GIS and RSE aiming to the effective monitoring of the surroundings of landfills","authors":"O. Azimov, Oleksandr Schevchuk, K. Azimova, Yelizaveta Dorofey, O. Tomchenko","doi":"10.36023/ujrs.2020.27.183","DOIUrl":"https://doi.org/10.36023/ujrs.2020.27.183","url":null,"abstract":"The article highlights the possibilities of using the technologies of remote sensing of the Earth (RSE) and geographic information systems (GIS) for monitoring studies of pollution factors of the environment within the municipal solid waste (MSW) dumps and landfill areas as well when the assessing their impact on the landscape components. The main purpose of the investigation is to formulate the general principles of creation and to determine the main components of the information system of geomonitoring of areas of impact of the MSW disposal landfills as part of an information-analytical system of analysis of the risk of emergencies of man-made and natural character, aimed at ensuring sustainable regional development of Ukraine. During the research of the Kyiv’s Oblast territory, space imagery from IRS satellites was used. For detailed exploration of the individual sites where the largest landfill sites and areas are located (northern Obukhiv district, Bila Tserkva district, Trypillya district), were also used images from the Quick Bird satellite. The improvement of the characteristics of the Kyiv’s landfill No 5 at the north of the Obukhiv district used the unmanned aerial vehicle data. Some of the factors that have a negative environmental impact on the environment and the population of MSW disposal landfills and the possibilities of monitoring them by RSE methods are considered in the article. As a result it has been shown that the RSE data integrated to GIS allow to obtain accurate information about the current state of the studied area quickly, to conduct timely monitoring and forecasting the development of negative phenomena and processes, which significantly increases the level of environmental safety at national, regional and site levels and provides an opportunity to develop a set of measures to reduce the environmental impact of MSW disposal landfills. The situation with waste, especially domestic waste in Kyiv’s Oblast, is getting worse every year. As a result, there is an increasing threat to human and environmental health. The obtained results show that one of the reasons for the current situation is the selection of unfavorable sites for the allocation of waste disposal landfills.","PeriodicalId":113561,"journal":{"name":"Ukrainian journal of remote sensing","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121083209","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 : 2019-10-01DOI: 10.36023/ujrs.2019.22.156
M. Popov, O. Zaitsev, I. Piestova
The problem of priorities establishing for expert interval-valued estimations when experts hold the opposite opinion is considered. The whole group of expert estimates is subdivided into subgroups, first of which provides the probability of the deposit presence, and the second one provides the probability of deposit missing. A ranking methodology for interval expert estimates of the territories’ hydrocarbon potential, consisting of two stages, is proposed. At the first stage, an estimates formed by two subgroups of experts are separately aggregated by optimization. Two aggregated interval estimates of the corresponding hypotheses probabilities are obtained as a result. In the second stage, a priority estimate is determined by comparing the results. A numerical example of the test territory evaluating for a hydrocarbon deposit presence was calculated. Interval-valued estimates by five experts were used in this example for the hypotheses of hydrocarbons presence/missing. Various metrics of the distance between interval values were used to calculate persistent minima of aggregating estimates. The results of the calculations indicate the hypothesis’ priority of a hydrocarbon deposit presence within the study area. The proposed methodology for ranking interval-valued expert estimates can be used in the “Geologist’s Computer Assistant” software system.The problem of priorities establishing for expert interval-valued estimations when experts hold the opposite opinion is considered. The whole group of expert estimates is subdivided into subgroups, first of which provides the probability of the deposit presence, and the second one provides the probability of deposit missing. A ranking methodology for interval expert estimates of the territories’ hydrocarbon potential, consisting of two stages, is proposed. At the first stage, an estimates formed by two subgroups of experts are separately aggregated by optimization. Two aggregated interval estimates of the corresponding hypotheses probabilities are obtained as a result. In the second stage, a priority estimate is determined by comparing the results. A numerical example of the test territory evaluating for a hydrocarbon deposit presence was calculated. Interval-valued estimates by five experts were used in this example for the hypotheses of hydrocarbons presence/missing. Various metrics of the distance between interval values were used to calculate persistent minima of aggregating estimates. The results of the calculations indicate the hypothesis’ priority of a hydrocarbon deposit presence within the study area. The proposed methodology for ranking interval-valued expert estimates can be used in the “Geologist’s Computer Assistant” software system.
{"title":"Methodological scheme for ranking interval expert estimates of the territories hydrocarbon potential","authors":"M. Popov, O. Zaitsev, I. Piestova","doi":"10.36023/ujrs.2019.22.156","DOIUrl":"https://doi.org/10.36023/ujrs.2019.22.156","url":null,"abstract":"The problem of priorities establishing for expert interval-valued estimations when experts hold the opposite opinion is considered. The whole group of expert estimates is subdivided into subgroups, first of which provides the probability of the deposit presence, and the second one provides the probability of deposit missing. A ranking methodology for interval expert estimates of the territories’ hydrocarbon potential, consisting of two stages, is proposed. At the first stage, an estimates formed by two subgroups of experts are separately aggregated by optimization. Two aggregated interval estimates of the corresponding hypotheses probabilities are obtained as a result. In the second stage, a priority estimate is determined by comparing the results. A numerical example of the test territory evaluating for a hydrocarbon deposit presence was calculated. Interval-valued estimates by five experts were used in this example for the hypotheses of hydrocarbons presence/missing. Various metrics of the distance between interval values were used to calculate persistent minima of aggregating estimates. The results of the calculations indicate the hypothesis’ priority of a hydrocarbon deposit presence within the study area. The proposed methodology for ranking interval-valued expert estimates can be used in the “Geologist’s Computer Assistant” software system.The problem of priorities establishing for expert interval-valued estimations when experts hold the opposite opinion is considered. The whole group of expert estimates is subdivided into subgroups, first of which provides the probability of the deposit presence, and the second one provides the probability of deposit missing. A ranking methodology for interval expert estimates of the territories’ hydrocarbon potential, consisting of two stages, is proposed. At the first stage, an estimates formed by two subgroups of experts are separately aggregated by optimization. Two aggregated interval estimates of the corresponding hypotheses probabilities are obtained as a result. In the second stage, a priority estimate is determined by comparing the results. A numerical example of the test territory evaluating for a hydrocarbon deposit presence was calculated. Interval-valued estimates by five experts were used in this example for the hypotheses of hydrocarbons presence/missing. Various metrics of the distance between interval values were used to calculate persistent minima of aggregating estimates. The results of the calculations indicate the hypothesis’ priority of a hydrocarbon deposit presence within the study area. The proposed methodology for ranking interval-valued expert estimates can be used in the “Geologist’s Computer Assistant” software system.","PeriodicalId":113561,"journal":{"name":"Ukrainian journal of remote sensing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121221955","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 : 2019-10-01DOI: 10.36023/ujrs.2019.22.157
R. Shevchuk, V. Filipovych, A. Mychak, Mykola Lybskyi
Opportunities of optical and radar satellite data application for ecological state and reclamation quality assessment of disturbed by crystalline rocks open cast mining lands are considered in the article. Digital elevation models analysis is proposed for the problem of identification of mines among rock dumps and rocky outcrops solution. Radar interferograms were used as source data for DEM creating. The research was performed on three study sites within Korostishiv, Cherniahiv and Khoroshiv districts of Zhitomir region. As result of the study an abandoned quarry with no reclamation done and an illegal stone processing waste dump were found. It is stated that environmental impact of crystalline rock open cast mining not as serious as ilmenite or amber open cast mining impacts and facts of violation of law caused by mining activities were not found.
{"title":"Satellite monitoring features of crystalline rocks mining territories within Zhitomyr region based on optical and radar remote sensing data","authors":"R. Shevchuk, V. Filipovych, A. Mychak, Mykola Lybskyi","doi":"10.36023/ujrs.2019.22.157","DOIUrl":"https://doi.org/10.36023/ujrs.2019.22.157","url":null,"abstract":"Opportunities of optical and radar satellite data application for ecological state and reclamation quality assessment of disturbed by crystalline rocks open cast mining lands are considered in the article. Digital elevation models analysis is proposed for the problem of identification of mines among rock dumps and rocky outcrops solution. Radar interferograms were used as source data for DEM creating. The research was performed on three study sites within Korostishiv, Cherniahiv and Khoroshiv districts of Zhitomir region. As result of the study an abandoned quarry with no reclamation done and an illegal stone processing waste dump were found. It is stated that environmental impact of crystalline rock open cast mining not as serious as ilmenite or amber open cast mining impacts and facts of violation of law caused by mining activities were not found.","PeriodicalId":113561,"journal":{"name":"Ukrainian journal of remote sensing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127713280","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 : 2019-10-01DOI: 10.36023/ujrs.2019.22.155
O. Lunova, O. Buglak
In the conditions of scientific and technological progress, the relationship of society with nature has become much more complicated. Man got the opportunity to influence the course of natural processes, started to use almost all available renewable and non-renewable natural resources, and as a result, began to pollute and destroy the environment. Specialists of the State Ecological Academy of Postgraduate Education and Management, within the framework of the scientific work “Development of the methodological basis of orthotransformed satellite imagery application in environmental assessment”, solved an actual scientific and applied task, which is to form a methodological basis for the use of orthotransformed satellite imagery to create information services for environmental monitoring of objects of critical infrastructure and expanding the capacity of the National Center of the provision of central executive authorities of information about the results of environmental monitoring based on space systems data through the development of methods of using orthotransformated satellite imagery for the assessment of the environmental state. The possibilities of using multispectral space images to assess the state of the environment are determined and the necessary software for this is given. Based on the classification algorithm of enterprises and objects of critical infrastructure of Ukraine, a GIS-compatible database of objects of critical infrastructure of Ukraine classified by their environmental impact was developed and a methodology for using orthotransformed satellite imagery was developed to assess the impact of the corresponding categories of critical infrastructure facilities of Ukraine on the state of the environment. During creating the ideology of geographic information systems, the requirements for technical means on which the service should be deployed, the procedure for maintaining, filling and updating the database of objects of critical infrastructure of Ukraine, the mechanism and procedure for visualizing impact assessments of all objects of the developed base based on GIS-systems.
{"title":"Methodological basis of orthotransformed space images application for the environmental assessment and software of research","authors":"O. Lunova, O. Buglak","doi":"10.36023/ujrs.2019.22.155","DOIUrl":"https://doi.org/10.36023/ujrs.2019.22.155","url":null,"abstract":"In the conditions of scientific and technological progress, the relationship of society with nature has become much more complicated. Man got the opportunity to influence the course of natural processes, started to use almost all available renewable and non-renewable natural resources, and as a result, began to pollute and destroy the environment. Specialists of the State Ecological Academy of Postgraduate Education and Management, within the framework of the scientific work “Development of the methodological basis of orthotransformed satellite imagery application in environmental assessment”, solved an actual scientific and applied task, which is to form a methodological basis for the use of orthotransformed satellite imagery to create information services for environmental monitoring of objects of critical infrastructure and expanding the capacity of the National Center of the provision of central executive authorities of information about the results of environmental monitoring based on space systems data through the development of methods of using orthotransformated satellite imagery for the assessment of the environmental state. The possibilities of using multispectral space images to assess the state of the environment are determined and the necessary software for this is given. Based on the classification algorithm of enterprises and objects of critical infrastructure of Ukraine, a GIS-compatible database of objects of critical infrastructure of Ukraine classified by their environmental impact was developed and a methodology for using orthotransformed satellite imagery was developed to assess the impact of the corresponding categories of critical infrastructure facilities of Ukraine on the state of the environment. During creating the ideology of geographic information systems, the requirements for technical means on which the service should be deployed, the procedure for maintaining, filling and updating the database of objects of critical infrastructure of Ukraine, the mechanism and procedure for visualizing impact assessments of all objects of the developed base based on GIS-systems.","PeriodicalId":113561,"journal":{"name":"Ukrainian journal of remote sensing","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121875052","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 : 2019-09-30DOI: 10.36023/ujrs.2019.22.154
K. Sukhanov
The article deals with the method of classification of real data using the apparatus of fuzzy sets and fuzzy logic as a flexible tool for learning and recognition of natural objects on the example of oil and gas prospecting sections of the Dnieper-Donetsk basin. The real data in this approach are the values for the membership function that are obtained not through subjective expert judgment but from objective measurements. It is suggested to approximate the fuzzy set membership functions by using training data to use the approximation results obtained during the learning phase at the stage of identifying unknown objects. In the first step of learning, each traditional future of a learning data is matched by a primary traditional one-dimensional set whose membership function can only take values from a binary set — 0 if the learning object does not belong to the set, and 1 if the learning object belongs to the set. In the second step, the primary set is mapped to a fuzzy set, and the parameters of the membership function of this fuzzy set are determined by approximating this function of the traditional set membership. In the third step, the set of one-dimensional fuzzy sets that correspond to a single feature of the object is mapped to a fuzzy set that corresponds to all the features of the object in the training data set. Such a set is the intersection of fuzzy sets of individual features, to which the blurring and concentration operations of fuzzy set theory are applied in the last step. Thus, the function of belonging to a fuzzy set of a class is the operation of choosing a minimum value from the functions of fuzzy sets of individual features of objects, which are reduced to a certain degree corresponding to the operation of blurring or concentration. The task of assigning the object under study to a particular class is to compare the values of the membership functions of a multidimensional fuzzy set and to select the class in which the membership function takes the highest value. Additionally, after the training stage, it is possible to determine the degree of significance of an object future, which is an indistinctness index, to remove non-essential data (object futures) from the analysis.
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Pub Date : 2019-09-30DOI: 10.36023/ujrs.2019.22.153
D. Movchan
Some previous studies showed that ecosystem biogeochemical processes were significantly affected by variation of the temperature regime. For example, experimental warming led to photosynthesis intensification and increasing of the vegetation productivity and biomass accumulation (Elmendorf et al. 2012; Lin et al. 2010; Lu et al. 2013; Wu et al. 2011). However, such association is not so clear under natural conditions (Mohamed et al. 2004). This study provides the results of a pixel-wise trend analysis which has been performed to identify regional trends in the vegetation productivity for the European territory over the last 14 years. The moderate-resolution imaging spectroradiometer (MODIS) time series data have been used to analyse net primary productivity (NPP) trends. The changes in terrestrial carbon stock caused by the dynamics of vegetation productivity have been estimated. The negative trend of the vegetation productivity was found for Eastern Europe. It was found that the increased summer temperatures negatively influenced the vegetation productivity in Western, Eastern and Southern Europe. The findings suggest that the mean summer temperatures have reached a threshold in Southern Europe and its subsequent growth would lead to reducing the vegetation productivity. At the same time in the northern regions, the threshold has not been reached; therefore, summer temperatures increasing will stimulate the growth of vegetation. Analysing the changes for different types of vegetation it can be noted that the carbon stocks of agricultural land have been decreased by 2.67 Mt C, while forests and savannah areas have positive dynamic (the carbon stocks have been increased by 1.64 and 3.7 Mt C respectively). Summary results for the whole European region indicate a positive trend (2.67 Mt) of C stock in the terrestrial vegetation.
已有研究表明，温度变化对生态系统生物地球化学过程有显著影响。例如，实验变暖导致光合作用增强，植被生产力和生物量积累增加(Elmendorf et al. 2012;Lin et al. 2010;Lu et al. 2013;Wu et al. 2011)。然而，在自然条件下，这种关联并不那么明显(Mohamed et al. 2004)。本研究提供了像素趋势分析的结果，该分析已被执行，以确定过去14年来欧洲领土植被生产力的区域趋势。利用中分辨率成像光谱辐射计(MODIS)时间序列数据分析了净初级生产力(NPP)趋势。估算了植被生产力动态引起的陆地碳储量变化。东欧地区植被生产力呈负变化趋势。结果表明，夏季气温升高对西欧、东欧和南欧的植被生产力有负面影响。研究结果表明，在南欧，夏季平均温度已经达到了一个阈值，其随后的增长将导致植被生产力的降低。与此同时，在北方地区，还没有达到这个门槛;因此，夏季气温的升高会刺激植被的生长。分析不同植被类型的变化可以发现，农用地碳储量减少了267 Mt C，而森林和稀树草原则呈现正动态(碳储量分别增加了1.64和370 Mt C)。整个欧洲地区陆地植被碳储量呈上升趋势(2.67 Mt)。
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