Ch. Kouassi, Chen Qian, D. Khan, L. Achille, Zhang Kebin, J. K. Omifolaji, Xiaohui Yang
High-accuracy land use and land cover maps (LULC) are increasingly in demand for environmental management and decision-making. Despite the limitation, Machine learning classifiers (MLC) fill the gap in any complex issue related to LULC data accuracy. Visualizing land-cover information is critical in mitigating Côte d’Ivoire’s deforestation and land use planning using the Google Earth Engine (GEE) software. This paper estimates the probability of RF classification in South Western Côte d’Ivoire. Landsat 8 Surface Reflectance Tiers 1 (L8OLI/TIRS) data with a resolution of 30 mn for 2020 were used to classify the western and southwestern Forest areas of Côte d’Ivoire. The Random Forest (RF) learning classifier was calibrated using 80% training data and 20% testing data to assess GEE classification accuracy performance. The findings indicate that the Forest land class accounts for 39.48% of the entire study area, followed by the Bareland class, the Cultivated land class 21.28±0.90%, the Water class 1.94±0.27%, and the 0.96±0.60% Urban class respectively. The classification reliability test results show that 99.85%±1.95 is the overall training accuracy (OTA), and 99.81±1.95% for the training kappa (TK). The overall validation accuracy (VOA) is 94.02±1.90%, while 92.25±1.88% validation kappa (VK) and 92.45±1.88% RF Accuracy. The different coefficients classification accuracy results obtained from the RF confusion matrix indicate that each class has three good performances. This is due to the cultivated land samples lower spatial resolution and smaller sample numbers, resulting in a lower PA for this class than for the other classes. All had producer accuracy (PA) and user accuracy (UA) more than 90% using the L8OLI/TIRS data. Using the RF-based classification method integrated into the GEE provides an efficient and high scores accuracy for classifying land use and land cover in the study area.
{"title":"GOOGLE EARTH ENGINE FOR LANDSAT IMAGE PROCESSING AND ASSESSING LULC CLASSIFICATION IN SOUTHWESTERN CÔTE D’IVOIRE","authors":"Ch. Kouassi, Chen Qian, D. Khan, L. Achille, Zhang Kebin, J. K. Omifolaji, Xiaohui Yang","doi":"10.3846/gac.2023.16805","DOIUrl":"https://doi.org/10.3846/gac.2023.16805","url":null,"abstract":"High-accuracy land use and land cover maps (LULC) are increasingly in demand for environmental management and decision-making. Despite the limitation, Machine learning classifiers (MLC) fill the gap in any complex issue related to LULC data accuracy. Visualizing land-cover information is critical in mitigating Côte d’Ivoire’s deforestation and land use planning using the Google Earth Engine (GEE) software. This paper estimates the probability of RF classification in South Western Côte d’Ivoire. Landsat 8 Surface Reflectance Tiers 1 (L8OLI/TIRS) data with a resolution of 30 mn for 2020 were used to classify the western and southwestern Forest areas of Côte d’Ivoire. The Random Forest (RF) learning classifier was calibrated using 80% training data and 20% testing data to assess GEE classification accuracy performance. The findings indicate that the Forest land class accounts for 39.48% of the entire study area, followed by the Bareland class, the Cultivated land class 21.28±0.90%, the Water class 1.94±0.27%, and the 0.96±0.60% Urban class respectively. The classification reliability test results show that 99.85%±1.95 is the overall training accuracy (OTA), and 99.81±1.95% for the training kappa (TK). The overall validation accuracy (VOA) is 94.02±1.90%, while 92.25±1.88% validation kappa (VK) and 92.45±1.88% RF Accuracy. The different coefficients classification accuracy results obtained from the RF confusion matrix indicate that each class has three good performances. This is due to the cultivated land samples lower spatial resolution and smaller sample numbers, resulting in a lower PA for this class than for the other classes. All had producer accuracy (PA) and user accuracy (UA) more than 90% using the L8OLI/TIRS data. Using the RF-based classification method integrated into the GEE provides an efficient and high scores accuracy for classifying land use and land cover in the study area.","PeriodicalId":35691,"journal":{"name":"Geodeziya i Kartografiya","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49022438","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}
This paper aims to perform metric measurements of narrow street façades using single image captured by smartphone’s camera. Since tight area accompanied by narrow street limits object to camera distance, object lines perpendicular to façade do not appear in image and consequently their vanishing point (VP) is hard to detect. Accordingly, semi-automated MATLAB® application was designed depending only on two orthogonal VPs. Novelty of work comes from using smartphone as a cost and time efficient tool for measurements, depending only on two VPs, and applying image line refinement approach exploiting detected VPs. Three single images were captured by three different smartphones. Then, undistorted single images were formed after calibrating cameras. Image lines for horizontal and vertical object lines were extracted semi-automatically. Two VPs were detected applying two models: Model-I solves for vanishing points’ Cartesian coordinates, whereas Model-II solves for angle coordinate peaks of histogram. Image line refinement approach was applied before applying cross-ratio using one horizontal and one vertical reference lines to calculate object lengths of 46 check lines (horizontal and vertical). Proposed models provided reliable and comparable results. Applying line refinement approach improved solution with best overall accuracy of 0.010 m and 0.011 m for Model-I and Model-II, respectively.
{"title":"IMPLEMENTATION OF THE SMARTPHONE CAMERA IN THE MEASURES OF NARROW STREET FACADES","authors":"M. Aldelgawy","doi":"10.3846/gac.2023.16529","DOIUrl":"https://doi.org/10.3846/gac.2023.16529","url":null,"abstract":"This paper aims to perform metric measurements of narrow street façades using single image captured by smartphone’s camera. Since tight area accompanied by narrow street limits object to camera distance, object lines perpendicular to façade do not appear in image and consequently their vanishing point (VP) is hard to detect. Accordingly, semi-automated MATLAB® application was designed depending only on two orthogonal VPs. Novelty of work comes from using smartphone as a cost and time efficient tool for measurements, depending only on two VPs, and applying image line refinement approach exploiting detected VPs. Three single images were captured by three different smartphones. Then, undistorted single images were formed after calibrating cameras. Image lines for horizontal and vertical object lines were extracted semi-automatically. Two VPs were detected applying two models: Model-I solves for vanishing points’ Cartesian coordinates, whereas Model-II solves for angle coordinate peaks of histogram. Image line refinement approach was applied before applying cross-ratio using one horizontal and one vertical reference lines to calculate object lengths of 46 check lines (horizontal and vertical). Proposed models provided reliable and comparable results. Applying line refinement approach improved solution with best overall accuracy of 0.010 m and 0.011 m for Model-I and Model-II, respectively.","PeriodicalId":35691,"journal":{"name":"Geodeziya i Kartografiya","volume":"68 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69997575","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}
Suraj Shaikh, Rakesh Paliwal, Abhijit S. Patil, S. Panhalkar, M. Palanisamy
Remote sensing is very useful for mapping and managing earth resources. The application of this technique has been widely used and proven useful in assessing temporal changes. The indices are used to distinguish different complex land covers, but there are still difficulties with distinguishing specific land covers. Therefore, the prime aim of this present investigation is to identify the changes in the built-up area using a modified new built-up index (MNBUI). The MNBUI is developed using the reference of four earlier developed indices. The built-up area of Punjab state is extracted from 2013 and 2017 year remote sensing satellite data using MNBUI. The result shows MNBUI is more accurate in terms of built-up area extraction as compared to the other two indices – New Built-up Index and built-up index models. The accuracy assessment is carried out to evaluate the accuracy of MNBUI with a random sampling technique. The mapping accuracy reported is 95% and 0.9333 in terms of overall accuracy (OA) and kappa coefficient (π) respectively.
{"title":"MODIFICATION OF NEW BUILT-UP INDEX TO PRECISELY EXTRACT AND IDENTIFY CHANGES IN THE BUILT-UP AREA: A CASE STUDY OF PUNJAB STATE OF INDIA","authors":"Suraj Shaikh, Rakesh Paliwal, Abhijit S. Patil, S. Panhalkar, M. Palanisamy","doi":"10.3846/gac.2023.13523","DOIUrl":"https://doi.org/10.3846/gac.2023.13523","url":null,"abstract":"Remote sensing is very useful for mapping and managing earth resources. The application of this technique has been widely used and proven useful in assessing temporal changes. The indices are used to distinguish different complex land covers, but there are still difficulties with distinguishing specific land covers. Therefore, the prime aim of this present investigation is to identify the changes in the built-up area using a modified new built-up index (MNBUI). The MNBUI is developed using the reference of four earlier developed indices. The built-up area of Punjab state is extracted from 2013 and 2017 year remote sensing satellite data using MNBUI. The result shows MNBUI is more accurate in terms of built-up area extraction as compared to the other two indices – New Built-up Index and built-up index models. The accuracy assessment is carried out to evaluate the accuracy of MNBUI with a random sampling technique. The mapping accuracy reported is 95% and 0.9333 in terms of overall accuracy (OA) and kappa coefficient (π) respectively.","PeriodicalId":35691,"journal":{"name":"Geodeziya i Kartografiya","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47444362","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}
Pan Sharpening is normally applied to sharpen a multispectral image with low resolution by using a panchromatic image with a higher resolution, to generate a high resolution multispectral image. The present study aims at assessing the power of Pan Sharpening on improvement of the accuracy of image classification and land cover mapping in Landsat 8 OLI imagery. In this respect, different Pan Sharpening algorithms including Brovey, Gram-Schmidt, NNDiffuse, and Principal Components were applied to merge the Landsat OLI panchromatic band (15 m) with the Landsat OLI multispectral: visible and infrared bands (30 m), to generate a new multispectral image with a higher spatial resolution (15 m). Subsequently, the support vector machine approach was utilized to classify the original Landsat and resulting Pan Sharpened images to generate land cover maps of the study area. The outcomes were then compared through the generation of confusion matrix and calculation of kappa coefficient and overall accuracy. The results indicated superiority of NNDiffuse algorithm in Pan Sharpening and improvement of classification accuracy in Landsat OLI imagery, with an overall accuracy and kappa coefficient of about 98.66% and 0.98, respectively. Furthermore, the result showed that the Gram-Schmidt and Principal Components algorithms also slightly improved the accuracy of image classification compared to original Landsat image. The study concluded that image Pan Sharpening is useful to improve the accuracy of image classification in Landsat OLI imagery, depending on the Pan Sharpening algorithm used for this purpose.
{"title":"INVESTIGATING THE IMPACT OF PAN SHARPENING ON THE ACCURACY OF LAND COVER MAPPING IN LANDSAT OLI IMAGERY","authors":"K. Rokni","doi":"10.3846/gac.2023.15308","DOIUrl":"https://doi.org/10.3846/gac.2023.15308","url":null,"abstract":"Pan Sharpening is normally applied to sharpen a multispectral image with low resolution by using a panchromatic image with a higher resolution, to generate a high resolution multispectral image. The present study aims at assessing the power of Pan Sharpening on improvement of the accuracy of image classification and land cover mapping in Landsat 8 OLI imagery. In this respect, different Pan Sharpening algorithms including Brovey, Gram-Schmidt, NNDiffuse, and Principal Components were applied to merge the Landsat OLI panchromatic band (15 m) with the Landsat OLI multispectral: visible and infrared bands (30 m), to generate a new multispectral image with a higher spatial resolution (15 m). Subsequently, the support vector machine approach was utilized to classify the original Landsat and resulting Pan Sharpened images to generate land cover maps of the study area. The outcomes were then compared through the generation of confusion matrix and calculation of kappa coefficient and overall accuracy. The results indicated superiority of NNDiffuse algorithm in Pan Sharpening and improvement of classification accuracy in Landsat OLI imagery, with an overall accuracy and kappa coefficient of about 98.66% and 0.98, respectively. Furthermore, the result showed that the Gram-Schmidt and Principal Components algorithms also slightly improved the accuracy of image classification compared to original Landsat image. The study concluded that image Pan Sharpening is useful to improve the accuracy of image classification in Landsat OLI imagery, depending on the Pan Sharpening algorithm used for this purpose.","PeriodicalId":35691,"journal":{"name":"Geodeziya i Kartografiya","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42174609","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}
This article deals with issues related to the measurement of TLS technology, or 3D scanning in road construction. Based on the data and results obtained, a technological procedure for the use of TLS technology on highways and A-roads will be drawn up, mainly for monitoring the transition areas of bridges, which currently does not exist in the Czech Republic. A smooth connection between two different structures in the transition areas should provide a comfortable crossing of the bridge structure. In order to unambiguously determine the movements in these areas, it is necessary to eliminate any inaccuracies that may affect the final result. For this reason, it was necessary to use a combination of traditional geodetic methods and special geodesy methods. In addition, several innovative methods were used, which emerged in this work based on newly emerging facts. All these operations and the presentation of the results will be described in this work.
{"title":"USE OF TLS TECHNOLOGY IN HIGHWAY CONSTRUCTION","authors":"Jiří Plesník, H. Staňková, P. Černota","doi":"10.3846/gac.2023.15796","DOIUrl":"https://doi.org/10.3846/gac.2023.15796","url":null,"abstract":"This article deals with issues related to the measurement of TLS technology, or 3D scanning in road construction. Based on the data and results obtained, a technological procedure for the use of TLS technology on highways and A-roads will be drawn up, mainly for monitoring the transition areas of bridges, which currently does not exist in the Czech Republic.\u0000A smooth connection between two different structures in the transition areas should provide a comfortable crossing of the bridge structure. In order to unambiguously determine the movements in these areas, it is necessary to eliminate any inaccuracies that may affect the final result. For this reason, it was necessary to use a combination of traditional geodetic methods and special geodesy methods. In addition, several innovative methods were used, which emerged in this work based on newly emerging facts. All these operations and the presentation of the results will be described in this work.","PeriodicalId":35691,"journal":{"name":"Geodeziya i Kartografiya","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48473062","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 : 2023-02-20DOI: 10.22389/0016-7126-2023-991-1-20-28
G.G. Shevshenko, M. Bryn, N. Naumova
The authors consider the possibility of using the search method to perform pseudo-rotation of matrices at equalizing free geodetic networks. Two methods of pseudo-circulation of matrices are proposed
作者考虑了在均衡自由大地测量网络中使用搜索方法进行矩阵伪旋转的可能性。提出了矩阵伪循环的两种方法
{"title":"Pseudoinversion of matrices through the search method of nonlinear programming in the equalization of free geodesic networks","authors":"G.G. Shevshenko, M. Bryn, N. Naumova","doi":"10.22389/0016-7126-2023-991-1-20-28","DOIUrl":"https://doi.org/10.22389/0016-7126-2023-991-1-20-28","url":null,"abstract":"\u0000The authors consider the possibility of using the search method to perform pseudo-rotation of matrices at equalizing free geodetic networks. Two methods of pseudo-circulation of matrices are proposed\u0000","PeriodicalId":35691,"journal":{"name":"Geodeziya i Kartografiya","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47501571","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 : 2023-02-20DOI: 10.22389/0016-7126-2023-991-1-15-19
P.Yu. Ilyuslin, M.S. Kraev, N. S. Malinina
The authors discuss the course of processing the terrestrial laser scanning survey data (TLS). The aim of the study is to assess the accuracy of creating digital elevation models (DEMs) depending on the scanning step. As initial data, a stitched and oriented cloud of points of the surveyed surface in the territory of the industrial site was taken; it was subsequently used to create digital elevation models using the TIN method. At the next stage of the study, 6 surveys with different scanning steps (from 0,3 m to 5 m) were artificially simulated in the Cyclone software; after that a comparative analysis of the obtained DEMs building accuracy was carried out. The main indicator of model precision is the root-mean-square deviation (RMSD). In the course of the study, the quality of making a digital elevation models was assessed and the dependence of the surface construction error on the increase in the scanning step was determined.
{"title":"Investigation of the digital elevation model creating accuracy depending on the terrestrial laser scanning density","authors":"P.Yu. Ilyuslin, M.S. Kraev, N. S. Malinina","doi":"10.22389/0016-7126-2023-991-1-15-19","DOIUrl":"https://doi.org/10.22389/0016-7126-2023-991-1-15-19","url":null,"abstract":"\u0000The authors discuss the course of processing the terrestrial laser scanning survey data (TLS). The aim of the study is to assess the accuracy of creating digital elevation models (DEMs) depending on the scanning step. As initial data, a stitched and oriented cloud of points of the surveyed surface in the territory of the industrial site was taken; it was subsequently used to create digital elevation models using the TIN method. At the next stage of the study, 6 surveys with different scanning steps (from 0,3 m to 5 m) were artificially simulated in the Cyclone software; after that a comparative analysis of the obtained DEMs building accuracy was carried out. The main indicator of model precision is the root-mean-square deviation (RMSD). In the course of the study, the quality of making a digital elevation models was assessed and the dependence of the surface construction error on the increase in the scanning step was determined.\u0000","PeriodicalId":35691,"journal":{"name":"Geodeziya i Kartografiya","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68403266","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 : 2023-02-20DOI: 10.22389/0016-7126-2023-991-1-51-64
M. Mustafin, A. Romanchikov, N.S. Pavlov, N. Kopylova
The authors mark the main historical events of the St. Petersburg Mining University’s Department of Engineering Geodesy hundred-year work. A great experience in Surveying theory and practice started in the times of Peter the Great was accumulated. The beginning of Russian Surveying skills forming dates at 1701 with foundation of “Navigation and Mathematic Sciences school” in Moscow. Beside engineers and gunners, surveyors were trained there. In 1715 navigation classes moved to St. Petersburg; on their base the Nautical academy was founded. In the first technical higher educational institution of Russia, St. Petersburg Miming University (at that time Mining School), the basic subjects were land- and underground Surveys. In the USSR industrializing of the country was started, so the part of Geodesy in it was among the main ones. Well-trained technical personnel were required. The Department occurred to be one of the first in the country. The history of its creating, establishment and development is given in brief. The main attention is paid to the Chairmen of the department, their achievements, scientific interests, tasks they were facing and solutions. The results of the research work which made a significant contribution in Geodetic science are also shown.
{"title":"Essay on the Century Jubilee of the Department of Engineering Geodesy, St. Petersburg Mining University","authors":"M. Mustafin, A. Romanchikov, N.S. Pavlov, N. Kopylova","doi":"10.22389/0016-7126-2023-991-1-51-64","DOIUrl":"https://doi.org/10.22389/0016-7126-2023-991-1-51-64","url":null,"abstract":"\u0000The authors mark the main historical events of the St. Petersburg Mining University’s Department of Engineering Geodesy hundred-year work. A great experience in Surveying theory and practice started in the times of Peter the Great was accumulated. The beginning of Russian Surveying skills forming dates at 1701 with foundation of “Navigation and Mathematic Sciences school” in Moscow. Beside engineers and gunners, surveyors were trained there. In 1715 navigation classes moved to St. Petersburg; on their base the Nautical academy was founded. In the first technical higher educational institution of Russia, St. Petersburg Miming University (at that time Mining School), the basic subjects were land- and underground Surveys. In the USSR industrializing of the country was started, so the part of Geodesy in it was among the main ones. Well-trained technical personnel were required. The Department occurred to be one of the first in the country. The history of its creating, establishment and development is given in brief. The main attention is paid to the Chairmen of the department, their achievements, scientific interests, tasks they were facing and solutions. The results of the research work which made a significant contribution in Geodetic science are also shown.\u0000","PeriodicalId":35691,"journal":{"name":"Geodeziya i Kartografiya","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47244289","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 : 2023-02-20DOI: 10.22389/0016-7126-2023-991-1-29-41
D. Loginov
The author presents the results of a web service development aimed at implementing a conceptual model of field geophysical surveys mapping monitoring. The issues of adapting the open source software DBMS PostgreSQL and JavaScript library Leaflet for centralized data gathering, systematization, updating and cartographic visualization of the geological exploration’s field phase progress are considered. The web service was tested during the seismic acquisition at the license areas in the Russian Federation and the Republic of India. It was used as the main tool for spatial analysis of the field crews’ productivity and considering natural and anthropogenic objects that prevent the timely execution of planned volumes of topographic and geodetic and seismic surveys, as well as a means of communication between specialists and administrative decision making. The results of the approbation showed an increase in the efficiency of geological exploration works’ field phase cartographic support. The experience of using open source software, a systematic approach to forming the server space and storing information in the database presented in the article enables developing web-mapping of exploration work carried out simultaneously in several territories through different methods of geophysical exploration.
{"title":"Implementing a web service for cartographic monitoring of the geological exploration field stage using open-source software","authors":"D. Loginov","doi":"10.22389/0016-7126-2023-991-1-29-41","DOIUrl":"https://doi.org/10.22389/0016-7126-2023-991-1-29-41","url":null,"abstract":"\u0000The author presents the results of a web service development aimed at implementing a conceptual model of field geophysical surveys mapping monitoring. The issues of adapting the open source software DBMS PostgreSQL and JavaScript library Leaflet for centralized data gathering, systematization, updating and cartographic visualization of the geological exploration’s field phase progress are considered. The web service was tested during the seismic acquisition at the license areas in the Russian Federation and the Republic of India. It was used as the main tool for spatial analysis of the field crews’ productivity and considering natural and anthropogenic objects that prevent the timely execution of planned volumes of topographic and geodetic and seismic surveys, as well as a means of communication between specialists and administrative decision making. The results of the approbation showed an increase in the efficiency of geological exploration works’ field phase cartographic support. The experience of using open source software, a systematic approach to forming the server space and storing information in the database presented in the article enables developing web-mapping of exploration work carried out simultaneously in several territories through different methods of geophysical exploration.\u0000","PeriodicalId":35691,"journal":{"name":"Geodeziya i Kartografiya","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48616089","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 : 2023-02-20DOI: 10.22389/0016-7126-2023-991-1-42-50
E. Voronin
The third article in this series of publications deals with solving inverse problems of photometry. The matter of reducing the dimension of the original inverse task with excluding insignificant parameters from the equation is considered. The main known ways of identifying those ones having the greatest and least influence over the main characteristics of the equalization results are noted. Their disadvantages are indicated at solving poorly conditioned issues and problems with initial measurements, the actual accuracy of which is unknown. The characteristics of the results include indicators of precision and statistical quality of the equalization. The main indicators its exactness are the average square deviations of the indirect measurements’ residuals, primarily the coordinates of the reference and connecting points. Those of the statistical quality are estimates of the direct and indirect measurements statistical quality equalization, as well as evaluating the mean square error of the weight unit after that. An algorithm was developed to refine the initial weights of direct measurements, identify and first eliminate insignificant parameters based on the analysis of intermediate data of the task being solved. An addition to the algorithm for adjusting the weights of direct measurements during equalization was formulated; it provides identification and secondary screening of insignificant parameters. Experimental approbation of the identified ways is carried out. The necessity of adjusting the weights of indirect measurements was established.
{"title":"Insignificant parameters in inverse photogrammetry tasks","authors":"E. Voronin","doi":"10.22389/0016-7126-2023-991-1-42-50","DOIUrl":"https://doi.org/10.22389/0016-7126-2023-991-1-42-50","url":null,"abstract":"\u0000The third article in this series of publications deals with solving inverse problems of photometry. The matter of reducing the dimension of the original inverse task with excluding insignificant parameters from the equation is considered. The main known ways of identifying those ones having the greatest and least influence over the main characteristics of the equalization results are noted. Their disadvantages are indicated at solving poorly conditioned issues and problems with initial measurements, the actual accuracy of which is unknown. The characteristics of the results include indicators of precision and statistical quality of the equalization. The main indicators its exactness are the average square deviations of the indirect measurements’ residuals, primarily the coordinates of the reference and connecting points. Those of the statistical quality are estimates of the direct and indirect measurements statistical quality equalization, as well as evaluating the mean square error of the weight unit after that. An algorithm was developed to refine the initial weights of direct measurements, identify and first eliminate insignificant parameters based on the analysis of intermediate data of the task being solved. An addition to the algorithm for adjusting the weights of direct measurements during equalization was formulated; it provides identification and secondary screening of insignificant parameters. Experimental approbation of the identified ways is carried out. The necessity of adjusting the weights of indirect measurements was established.\u0000","PeriodicalId":35691,"journal":{"name":"Geodeziya i Kartografiya","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41467759","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}
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