Pub Date : 2023-02-01DOI: 10.7494/geom.2023.17.3.29
K. Pargieła
Unmanned aerial vehicles (UAVs) are used to acquire measurement data for an increasing number of applications. Photogrammetric studies based on UAV data, thanks to the significant development of computer vision techniques, photogrammetry, and equipment miniaturization, allow sufficient accuracy for many engineering and non-engineering applications to be achieved. In addition to accuracy, development time and cost of data acquisition and processing are also important issues. The aim of this paper is to present potential limitations in the use of UAVs to acquire measurement data and to present measurement and processing techniques affecting the optimisation of work both in terms of accuracy and economy. Issues related to the type of drones used (multi-rotor, fixed-wing), type of shutter in the camera (rolling shutter, global shutter ), camera calibration method (pre-calibration, self-calibration), georeferencing method (direct, indirect), technique of measuring the external images orientation parameters (RTK, PPK, PPP), flight design methods and the type of software used were analysed.
{"title":"Optimising UAV Data Acquisition and Processing for Photogrammetry: A Review","authors":"K. Pargieła","doi":"10.7494/geom.2023.17.3.29","DOIUrl":"https://doi.org/10.7494/geom.2023.17.3.29","url":null,"abstract":"Unmanned aerial vehicles (UAVs) are used to acquire measurement data for an increasing number of applications. Photogrammetric studies based on UAV data, thanks to the significant development of computer vision techniques, photogrammetry, and equipment miniaturization, allow sufficient accuracy for many engineering and non-engineering applications to be achieved. In addition to accuracy, development time and cost of data acquisition and processing are also important issues. The aim of this paper is to present potential limitations in the use of UAVs to acquire measurement data and to present measurement and processing techniques affecting the optimisation of work both in terms of accuracy and economy. Issues related to the type of drones used (multi-rotor, fixed-wing), type of shutter in the camera (rolling shutter, global shutter ), camera calibration method (pre-calibration, self-calibration), georeferencing method (direct, indirect), technique of measuring the external images orientation parameters (RTK, PPK, PPP), flight design methods and the type of software used were analysed.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42534422","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 : 2023-01-31DOI: 10.7494/geom.2023.17.2.89
A. Trembecka
Polish expropriation law introduces a compensation system based on the socalled “benefit principle”. This principle assumes estimating the value of the property based on its intended use if it results in a greater value. The problem of considering the intended purpose of expropriation and, consequently, the application of the benefit principle is widespread in compensation proceedings relating to road investments.The research objective of this paper is an attempt to answer the question of whether the benefit principle should be maintained in the real estate appraisal procedure in order to determine compensation, i.e. whether the intended use resulting from the purpose of expropriation should be taken into account if it increases its value. The research also focuses on identifying those factors that should be considered instead of the benefit principle in order to estimate fair compensation for expropriated real estate. Part of the study is also devoted to the assessment of planned changes in legal regulations regarding compensation proceedings.The subject of the research are procedures and regulations for determining compensation for real estate expropriated for road investments in Poland. The analysis covers the stages of the compensation procedure and the factors affecting the amount of compensation. These procedures were compared with those in force in other countries in the context of applying the benefit principle.The results of the analysis lead to the conclusion that the amount of compensation should be independent of the intended purpose of expropriation. This is because planning classification for public purposes cannot be treated as a criterion which increases the market value of the expropriated property.
{"title":"The Benefit Principle in Determining Compensation for Real Estate Expropriation","authors":"A. Trembecka","doi":"10.7494/geom.2023.17.2.89","DOIUrl":"https://doi.org/10.7494/geom.2023.17.2.89","url":null,"abstract":"Polish expropriation law introduces a compensation system based on the socalled “benefit principle”. This principle assumes estimating the value of the property based on its intended use if it results in a greater value. The problem of considering the intended purpose of expropriation and, consequently, the application of the benefit principle is widespread in compensation proceedings relating to road investments.The research objective of this paper is an attempt to answer the question of whether the benefit principle should be maintained in the real estate appraisal procedure in order to determine compensation, i.e. whether the intended use resulting from the purpose of expropriation should be taken into account if it increases its value. The research also focuses on identifying those factors that should be considered instead of the benefit principle in order to estimate fair compensation for expropriated real estate. Part of the study is also devoted to the assessment of planned changes in legal regulations regarding compensation proceedings.The subject of the research are procedures and regulations for determining compensation for real estate expropriated for road investments in Poland. The analysis covers the stages of the compensation procedure and the factors affecting the amount of compensation. These procedures were compared with those in force in other countries in the context of applying the benefit principle.The results of the analysis lead to the conclusion that the amount of compensation should be independent of the intended purpose of expropriation. This is because planning classification for public purposes cannot be treated as a criterion which increases the market value of the expropriated property.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46868677","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 : 2023-01-31DOI: 10.7494/geom.2023.17.3.5
A. Bielska, A. Borkowski, A. Czarnecka, Maciej Delnicki, J. Kwiatkowska-Malina, Monika Piotrkowska
This paper presents guidelines for the designation and development of locations for tourism and recreation in the countryside and on the city outskirts. The proposed criteria for designating these areas can be used in the development of strategic and planning documents. Using the METPRET and SWPR methodology in the area of the Mazowieckie Voivodeship, the research allows for the development of proposals to be included in the strategic documents of the voivodeship. These proposals indicated the need to find new areas with the potential for individual short-term tourism and recreation. In uncertain circumstances, an integrated approach to spatial policy is essential as it ensures the ability of urban, suburban, and rural areas to adapt to change and develop sustainably.
{"title":"The Designation of Recreational and Tourist Areas in the Sustainable Management of Rural and Suburban Areas","authors":"A. Bielska, A. Borkowski, A. Czarnecka, Maciej Delnicki, J. Kwiatkowska-Malina, Monika Piotrkowska","doi":"10.7494/geom.2023.17.3.5","DOIUrl":"https://doi.org/10.7494/geom.2023.17.3.5","url":null,"abstract":"This paper presents guidelines for the designation and development of locations for tourism and recreation in the countryside and on the city outskirts. The proposed criteria for designating these areas can be used in the development of strategic and planning documents. Using the METPRET and SWPR methodology in the area of the Mazowieckie Voivodeship, the research allows for the development of proposals to be included in the strategic documents of the voivodeship. These proposals indicated the need to find new areas with the potential for individual short-term tourism and recreation. In uncertain circumstances, an integrated approach to spatial policy is essential as it ensures the ability of urban, suburban, and rural areas to adapt to change and develop sustainably.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47690619","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 : 2023-01-30DOI: 10.7494/geom.2023.17.2.31
Salah Arif, Adel Djellal, Nawel Djebbari, S. Belhaoues, Hassen Touati, Fatma Zohra Guellati, M. Bensouilah
Caused by excess levels of nutrients and increased temperatures, freshwater cyanobacterial blooms have become a serious global issue. However, with the development of artificial intelligence and extreme learning machine methods, the forecasting of cyanobacteria blooms has become more feasible. We explored the use of multiple techniques, including both statistical [Multiple Regression Model (MLR) and Support Vector Machine (SVM)] and evolutionary [Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Bird Swarm Algorithm (BSA)], to approximate models for the prediction of Microcystis density. The data set was collected from Oubeira Lake, a natural shallow Mediterranean lake in the northeast of Algeria. From the correlation analysis of ten water variables monitored, six potential factors including temperature, ammonium, nitrate, and ortho-phosphate were selected. The performance indices showed; MLR and PSO provided the best results. PSO gave the best fitness but all techniques performed well. BSA had better fitness but was very slow across generations. PSO was faster than the other techniques and at generation 20 it passed BSA. GA passed BSA a little further, at generation 50. The major contributions of our work not only focus on the modelling process itself, but also take into consideration the main factors affecting Microcystis blooms, by incorporating them in all applied models.
{"title":"Modelling Microcystis Cell Density in a Mediterranean Shallow Lake of Northeast Algeria (Oubeira Lake), Using Evolutionary and Classic Programming","authors":"Salah Arif, Adel Djellal, Nawel Djebbari, S. Belhaoues, Hassen Touati, Fatma Zohra Guellati, M. Bensouilah","doi":"10.7494/geom.2023.17.2.31","DOIUrl":"https://doi.org/10.7494/geom.2023.17.2.31","url":null,"abstract":"Caused by excess levels of nutrients and increased temperatures, freshwater cyanobacterial blooms have become a serious global issue. However, with the development of artificial intelligence and extreme learning machine methods, the forecasting of cyanobacteria blooms has become more feasible. We explored the use of multiple techniques, including both statistical [Multiple Regression Model (MLR) and Support Vector Machine (SVM)] and evolutionary [Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Bird Swarm Algorithm (BSA)], to approximate models for the prediction of Microcystis density. The data set was collected from Oubeira Lake, a natural shallow Mediterranean lake in the northeast of Algeria. From the correlation analysis of ten water variables monitored, six potential factors including temperature, ammonium, nitrate, and ortho-phosphate were selected. The performance indices showed; MLR and PSO provided the best results. PSO gave the best fitness but all techniques performed well. BSA had better fitness but was very slow across generations. PSO was faster than the other techniques and at generation 20 it passed BSA. GA passed BSA a little further, at generation 50. The major contributions of our work not only focus on the modelling process itself, but also take into consideration the main factors affecting Microcystis blooms, by incorporating them in all applied models.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71333091","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 : 2023-01-30DOI: 10.7494/geom.2023.17.2.69
M. R. Nandika, A. Ulfa, A. Ibrahim, A. Purwanto
Remote sensing technology is reliable in identifying the distribution of seabed cover yet there are still challenges in retrieving the data collection of shallow water habitats than with other objects on land. Classification algorithms based on remote sensing technology have been developed for application to map benthic habitats, such as Maximum Likelihood, Minimum Distance, and Support Vector Machine. This study focuses on examining those three classification algorithms to retrieve information on the benthic habitat in Pari Island, Jakarta using visual interpretation data for classification, and data field measurements for accuracy testing. This study used five classes of benthic objects, namely sand, sand-seagrass, rubble, seagrass, and coral. The results show how the proposed approach in this study provides an overall good classification of marine habitat with an accuracy produced 63.89–81.95%. The Support Vector Machine algorithm produced the highest accuracy rate of about 81.95%. The Support Vector Machine algorithm at a very high spatial resolution is considered to be capable of identifying, monitoring, and performing the rapid assessment of benthic habitat objects.
{"title":"Assessing the Shallow Water Habitat Mapping Extracted from High-Resolution Satellite Image with Multi Classification Algorithms","authors":"M. R. Nandika, A. Ulfa, A. Ibrahim, A. Purwanto","doi":"10.7494/geom.2023.17.2.69","DOIUrl":"https://doi.org/10.7494/geom.2023.17.2.69","url":null,"abstract":"Remote sensing technology is reliable in identifying the distribution of seabed cover yet there are still challenges in retrieving the data collection of shallow water habitats than with other objects on land. Classification algorithms based on remote sensing technology have been developed for application to map benthic habitats, such as Maximum Likelihood, Minimum Distance, and Support Vector Machine. This study focuses on examining those three classification algorithms to retrieve information on the benthic habitat in Pari Island, Jakarta using visual interpretation data for classification, and data field measurements for accuracy testing. This study used five classes of benthic objects, namely sand, sand-seagrass, rubble, seagrass, and coral. The results show how the proposed approach in this study provides an overall good classification of marine habitat with an accuracy produced 63.89–81.95%. The Support Vector Machine algorithm produced the highest accuracy rate of about 81.95%. The Support Vector Machine algorithm at a very high spatial resolution is considered to be capable of identifying, monitoring, and performing the rapid assessment of benthic habitat objects.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47021824","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 : 2023-01-30DOI: 10.7494/geom.2023.17.2.5
Anna Michalik, A. Zwirowicz-Rutkowska
Due to the complexity of planning processes, as well as the desire to satisfy stakeholders and entities involved in spatial development and planning procedures, there is a clear need to create a platform for managing spatial development planning information. The aim of this paper is to present a project and pilot version of an urban platform (spatial planning geoportal), which is intended to be a solution used for the creation, analysis, and presentation of spatial data related to spatial planning. To implement the concept of the geoportal, one of the models used in systems and software engineering known as incremental execution was used, together with the language for documenting phases of an IT project – the Unified Modeling Language (UML). The concept includes a formal description of the geoportal functionalities using UML as well as the perspective of solution users and stakeholders. This paper also shows the functionality of the pilot version of the geoportal, which refers to spatial planning at the local level and local spatial development. The spatial planning geoportal presented in this paper adheres to the reform of spatial planning and is intended to help in conducting spatial policy, both at the local and central level. Establishment of the spatial planning geoportal may contribute to increasing the efficiency and quality of the spatial planning system in Poland, as well as other areas such as management of local government units, local and regional transport, and regional planning.
{"title":"A Geoportal Supporting Spatial Planning in Poland: Concept and Pilot Version","authors":"Anna Michalik, A. Zwirowicz-Rutkowska","doi":"10.7494/geom.2023.17.2.5","DOIUrl":"https://doi.org/10.7494/geom.2023.17.2.5","url":null,"abstract":"Due to the complexity of planning processes, as well as the desire to satisfy stakeholders and entities involved in spatial development and planning procedures, there is a clear need to create a platform for managing spatial development planning information. The aim of this paper is to present a project and pilot version of an urban platform (spatial planning geoportal), which is intended to be a solution used for the creation, analysis, and presentation of spatial data related to spatial planning. To implement the concept of the geoportal, one of the models used in systems and software engineering known as incremental execution was used, together with the language for documenting phases of an IT project – the Unified Modeling Language (UML). The concept includes a formal description of the geoportal functionalities using UML as well as the perspective of solution users and stakeholders. This paper also shows the functionality of the pilot version of the geoportal, which refers to spatial planning at the local level and local spatial development. The spatial planning geoportal presented in this paper adheres to the reform of spatial planning and is intended to help in conducting spatial policy, both at the local and central level. Establishment of the spatial planning geoportal may contribute to increasing the efficiency and quality of the spatial planning system in Poland, as well as other areas such as management of local government units, local and regional transport, and regional planning.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44223998","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 : 2023-01-30DOI: 10.7494/geom.2023.17.2.105
Ranga Rao Velamala, P. K. Pant
SFMToolbox is an ArcGIS Python toolbox developed in ArcGIS Desktop (ArcMap) to perform preprocessing tasks for the automatic creation of maps of soil fertility parameters. Through SFMToolbox, users can automatically produce 12 soil fertility parameter maps as a batch at one time. It is easy to use, where users can only provide input; the output files are automatically created from the name of the sample point and saved in the defined workspace. During the execution of the tools, various processes, such as Inverse Distance Weighted (IDW) – a technique of interpolation, reclassification, adding color, merging, projection, area calculation, and legend are done automatically for all12 parameters at the same time. The SFMToolbox was validated as part of the following case study: village – Kashipur, tehsil – Balrampur, district – Balrampur, state – Uttar Pradesh, Country – India. The results show that the user can quickly generate maps and save time, improve accuracy, and reduce human intervention and ensure uniformity among maps. This toolbox also applied to Cycle II data from the Government of India’s Soil Health Card (SHC) scheme and timely produced 12-parameters soil nutrient maps for 630 districts in a uniform format. The toolbox may be used by public and private organizations to make timely decisions on agricultural and environmental issues.
{"title":"SFMToolbox: an ArcGIS Python Toolbox for Automatic Production of Maps of Soil Fertility","authors":"Ranga Rao Velamala, P. K. Pant","doi":"10.7494/geom.2023.17.2.105","DOIUrl":"https://doi.org/10.7494/geom.2023.17.2.105","url":null,"abstract":"SFMToolbox is an ArcGIS Python toolbox developed in ArcGIS Desktop (ArcMap) to perform preprocessing tasks for the automatic creation of maps of soil fertility parameters. Through SFMToolbox, users can automatically produce 12 soil fertility parameter maps as a batch at one time. It is easy to use, where users can only provide input; the output files are automatically created from the name of the sample point and saved in the defined workspace. During the execution of the tools, various processes, such as Inverse Distance Weighted (IDW) – a technique of interpolation, reclassification, adding color, merging, projection, area calculation, and legend are done automatically for all12 parameters at the same time. The SFMToolbox was validated as part of the following case study: village – Kashipur, tehsil – Balrampur, district – Balrampur, state – Uttar Pradesh, Country – India. The results show that the user can quickly generate maps and save time, improve accuracy, and reduce human intervention and ensure uniformity among maps. This toolbox also applied to Cycle II data from the Government of India’s Soil Health Card (SHC) scheme and timely produced 12-parameters soil nutrient maps for 630 districts in a uniform format. The toolbox may be used by public and private organizations to make timely decisions on agricultural and environmental issues.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43241052","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 : 2022-12-11DOI: 10.7494/geom.2023.17.1.57
R. Saini
Vegetation mapping is an active research area in the domain of remote sensing. This study proposes a methodology for the mapping of vegetation by integrating several vegetation indices along with original spectral bands. The Land Use Land Cover classification was performed by two powerful Machine Learning techniques, namely Random Forest and AdaBoost. The Random Forest algorithm works on the concept of building multiple decision trees for the final prediction. The other Machine Learning technique selected for the classification is AdaBoost (adaptive boosting), converts a set of weak learners into strong learners. Here, multispectral satellite data of Dehradun, India, was utilised. The results demonstrate an increase of 3.87% and 4.32% after inclusion of selected vegetation indices by Random Forest and AdaBoost respectively. An Overall Accuracy (OA) of 91.23% (kappa value of 0.89) and 88.59% (kappa value of 0.86) was obtained by means of the Random Forest and AdaBoost classifiers respectively. Although Random Forest achieved greater OA as compared to AdaBoost, interestingly AdaBoost provided better class-specific accuracy for the Shrubland class compared to Random Forest. Furthermore, this study also evaluated the importance of each individual feature used in the classification. Results demonstrated that the NDRE, GNDVI, and RTVIcore vegetation indices, and spectral bands (NIR, and Red-Edge), obtained higher importance scores.
{"title":"Integrating Vegetation Indices and Spectral Features for Vegetation Mapping from Multispectral Satellite Imagery Using AdaBoost and Random Forest Machine Learning Classifiers","authors":"R. Saini","doi":"10.7494/geom.2023.17.1.57","DOIUrl":"https://doi.org/10.7494/geom.2023.17.1.57","url":null,"abstract":"Vegetation mapping is an active research area in the domain of remote sensing. This study proposes a methodology for the mapping of vegetation by integrating several vegetation indices along with original spectral bands. The Land Use Land Cover classification was performed by two powerful Machine Learning techniques, namely Random Forest and AdaBoost. The Random Forest algorithm works on the concept of building multiple decision trees for the final prediction. The other Machine Learning technique selected for the classification is AdaBoost (adaptive boosting), converts a set of weak learners into strong learners. Here, multispectral satellite data of Dehradun, India, was utilised. The results demonstrate an increase of 3.87% and 4.32% after inclusion of selected vegetation indices by Random Forest and AdaBoost respectively. An Overall Accuracy (OA) of 91.23% (kappa value of 0.89) and 88.59% (kappa value of 0.86) was obtained by means of the Random Forest and AdaBoost classifiers respectively. Although Random Forest achieved greater OA as compared to AdaBoost, interestingly AdaBoost provided better class-specific accuracy for the Shrubland class compared to Random Forest. Furthermore, this study also evaluated the importance of each individual feature used in the classification. Results demonstrated that the NDRE, GNDVI, and RTVIcore vegetation indices, and spectral bands (NIR, and Red-Edge), obtained higher importance scores.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45447872","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 : 2022-12-11DOI: 10.7494/geom.2023.17.1.75
Daniel Zaszewski, T. Gruszczyński
The description of the physical parameters characterizing heat transport in the soil medium, especially on a regional scale, requires long-term and high frequency observations of temperature changes in soil profiles. This paper presents a project for a multi-channel, modular and universal data logger for temperature distribution data collecting in the soil profile, based on open electronic components, such as Arduino microcontroller systems and DS18B20 thermometers. The data logger tests were carried out in two profiles. The seven-month tests did not show any errors in the functioning of the measurement set. The presented device requires an average current of 320 µA, which allows for its stable operation on one battery set for about 300 days in temperate climate conditions. The DS18B20 thermometers allow for accurate and stable temperature measurement (the mean absolute error after laboratory calibration was 0.02°C). The cost of a single measurement-registration device was approximately 76 EUR, representing a competitive price in comparison with commercial data loggers. This allows, with relatively low expenditure, the creation of extensive observation networks for the analysis of the heat flow process in high temporal and spatial resolution.
{"title":"A Low-cost Automatic System for Long-term Observations of Soil Temperature","authors":"Daniel Zaszewski, T. Gruszczyński","doi":"10.7494/geom.2023.17.1.75","DOIUrl":"https://doi.org/10.7494/geom.2023.17.1.75","url":null,"abstract":"The description of the physical parameters characterizing heat transport in the soil medium, especially on a regional scale, requires long-term and high frequency observations of temperature changes in soil profiles. This paper presents a project for a multi-channel, modular and universal data logger for temperature distribution data collecting in the soil profile, based on open electronic components, such as Arduino microcontroller systems and DS18B20 thermometers. The data logger tests were carried out in two profiles. The seven-month tests did not show any errors in the functioning of the measurement set. The presented device requires an average current of 320 µA, which allows for its stable operation on one battery set for about 300 days in temperate climate conditions. The DS18B20 thermometers allow for accurate and stable temperature measurement (the mean absolute error after laboratory calibration was 0.02°C). The cost of a single measurement-registration device was approximately 76 EUR, representing a competitive price in comparison with commercial data loggers. This allows, with relatively low expenditure, the creation of extensive observation networks for the analysis of the heat flow process in high temporal and spatial resolution.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41992580","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 : 2022-11-17DOI: 10.7494/geom.2023.17.1.35
Natalia Słowińska, A. Żyła, N. Borowiec
This paper presents the results of a study to assess the feasibility of using the Structure from Motion photogrammetric method to estimate what parts of Wołek Castle have survived from the 15th century to the present day. The photogrammetric measurements were made with a Nikon D5200 camera, and 249 mock-up images were obtained. Planimetry and altitude coordinates of the castle ruins were obtained using RTN GNSS measurements and the polar method. The measurements were made in the 2000 coordinate system in zone 6, the heights were obtained in the Kronstadt system. Two spatial models were made. The first one in the field scale was made using the ground control points measured in the terrain. The second one was made using ground control points measured on the model in the local system. The control measures were analyzed, the model compared with the actual orthophotomap, and it was estimated what part of the castle was preserved in reality.
{"title":"Verification of the Wołek Castle Model with the Actual State Using Digital Photogrammetry and Conventional Survey Methods","authors":"Natalia Słowińska, A. Żyła, N. Borowiec","doi":"10.7494/geom.2023.17.1.35","DOIUrl":"https://doi.org/10.7494/geom.2023.17.1.35","url":null,"abstract":"This paper presents the results of a study to assess the feasibility of using the Structure from Motion photogrammetric method to estimate what parts of Wołek Castle have survived from the 15th century to the present day. The photogrammetric measurements were made with a Nikon D5200 camera, and 249 mock-up images were obtained. Planimetry and altitude coordinates of the castle ruins were obtained using RTN GNSS measurements and the polar method. The measurements were made in the 2000 coordinate system in zone 6, the heights were obtained in the Kronstadt system. Two spatial models were made. The first one in the field scale was made using the ground control points measured in the terrain. The second one was made using ground control points measured on the model in the local system. The control measures were analyzed, the model compared with the actual orthophotomap, and it was estimated what part of the castle was preserved in reality.","PeriodicalId":36672,"journal":{"name":"Geomatics and Environmental Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45929669","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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