Geomatic Techniques Research Articles

ASSESSING LEVELLING AND DINSAR FOR DEFORMATION MONITORING IN SEISMIC REGION

Abstract. Carrying out monitoring surveys in seismic regions is good practice both for the assessment of land deformation and the evaluation of building structures standing on it. In this work, topographic levelling and DInSAR techniques have been used for displacement measurement. These geomatic techniques are rarely applied in the same context and attempts are made to combine the results obtained for having a complete analysis of the site. The proposed work analyses, compares and discusses topographic levelling and advanced multi-temporal DInSAR techniques used to detect and measure ground deformation when the occurrence of seismic events might have played a role in the displacement. The area of interest had already been under observation through ground-based monitoring surveys, by means of metal bolts attached to façades of buildings detected by topographic level, from 1998 to 2021. The DInSAR analysis was carried out exploiting Sentinel-1A/B data acquired during the period 2014–2021. The goal of the DInSAR processing stage of the procedure is to derive the deformation map of the area of interest from SAR data. A zero date has been set for both survey methods in order to define similar time series for comparison analysis. The results showed that ground displacements measured by levelling and DInSAR have similar trends. On the geomorphological aspect, the same distribution map of terrain subsidence is found in both techniques.

GEOMATICS SUPPORTING KNOWLEDGE OF CULTURAL HERITAGE AIMED AT RECOVERY AND RESTORATION

Abstract. The study presented aims a practical contribution to the use of the Terrestrial Laser Scanner and the Close Range Photogrammetry geomatic techniques and to their integration for the knowledge and development of the historical-architectural heritage, both in the step of planning a restorative conservation project, and in the subsequent step of the restoration works. In particular, these techniques and their integration were applied at the process of study, planning and execution of the restoration of the San Giovanni Battista church in Fonni (Sardinia, Italy), founded in the 16th century. The building, due to structural problems and humidity infiltrations, was subject to a serious intervention for consolidation and conservative restoration.In the first phase of the work, preliminary to the design, a TLS survey was made that allowed to obtain an accurate 3D model of the church. In a second phase, during the restoration work, CRP surveys were carried out and the accuracy of this technique was verified through a comparison with TLS surveys. The integration of the two techniques to improve the texture of point clouds detected with TLS was also tested.

Preservation of Villages in Central Italy: Geomatic Techniques’ Integration and GIS Strategies for the Post-Earthquake Assessment

Historical villages represent a highly vulnerable cultural heritage; their preservation can be ensured thanks to technological innovations in the field of geomatics and information systems. Among these, Geographical Information Systems (GISs) allow exploiting heterogeneous data for efficient vulnerability assessment, in terms of both time and usability. Geometric attributes, which currently are mainly inferred by visual inspections, can be extrapolated from data obtained by geomatic technologies. Furthermore, the integration with non-metric data ensures a more complete description of the post-seismic risk thematic mapping. In this paper, a high-performance information system for small urban realities, such as historical villages, is described, starting from the 3D survey obtained through the integrated management of recent innovative geomatic sensors, such as Unmanned Aerial Vehicles (UAVs), Terrestrial Laser Scanners (TLSs), and 360º images. The results show that the proposed strategy of the automatic extraction of the parameters from the GIS can be generalized to other case studies, thus representing a straightforward method to enhance the decision-making of public administrations. Moreover, this work confirms the importance of managing heterogeneous geospatial data to speed up the vulnerability assessment process. The final result, in fact, is an information system that can be used for every village where data have been acquired in a similar way. This information could be used in the field by means of a GIS app that allows updating the geospatial database, improving the work of technicians. This approach was validated in Gabbiano(Pieve Torina), a village in Central Italy affected by earthquakes in 2016 and 2017.

Geomatic Techniques Applied to the Dynamic Study (2001–2019) of the Rock Glacier in the Veleta Cirque (Sierra Nevada, Spain)

During the Little Ice Age (LIA), Corral del Veleta (Sierra Nevada) housed a small glacier of which relict glacial ice and permafrost still remain under packets of ice blocks. Currently, it is considered the southernmost rock glacier in Europe. The analysis and results of monitoring carried out on this rock glacier reveal it to be in an accelerated process of immobilization and that the relict glacial ice blocks and permafrost on which it lies are in a continual process of degradation. The rock glacier was monitored from 2001 to 2019 using diverse geomatic techniques, to which geophysical and thermal techniques were added. The results obtained during the observation period shed light on the dynamic of the rock glacier (morpho-topographic movements and deformations) as well as the physical state of the underlying frozen bodies (volumetric reduction and spatial distribution). The changes observed are related to variations in the dominant high-mountain climate of Sierra Nevada, particularly since the end of the 20th century, the general tendencies of which are increasing temperatures, decreasing annual snowfall, and a shorter duration of snow on the ground.

Geomatics techniques and building information model for historical buildings conservation and restoration

Historical conservation and restoration is an important issue for heritage structures, this research aims to develop heritage building information model (HBIM) for Amman citadel in Jordan. In Jordanian Heritage Management, such models are still regarded a long way from becoming a well-established and widely used technique. Using terrestrial laser scanning technologies, the research will bridge the gap between historical documentation and historical building information modeling. HBIM was created with parametric pieces to reflect the study area's structural, functional, architectural, and historical aspects. The model also incorporates 3D geometry as well as non-geometric data like materials, appearance, and condition. This model also incorporates historical and architectural aspects, style and age. With a 1 cm spacing, the findings revealed that the utilized model could capture 425,000 points per minute with standard error of mean of 0.61 cm and standard deviation of 0.75 cm. It is recommended that a numerical reconstruction model of the citadel be created in order to check for any potential structural instability. In addition, it is suggested that a documentation effort be started to encompass Jordan's other significant historical and cultural sites.

Rainfall Run-off Estimation Using Geomatics and Nrcs Techniques in the Vegavathi Watershed of Palar Basin, South India

Rainfall Run-off Estimation Using Geomatics and Nrcs Techniques in the Vegavathi Watershed of Palar Basin, South India

Rainfall Run-off Estimation Using Geomatics and Nrcs Techniques in the Vegavathi Watershed of Palar Basin, South India

Rainfall Run-off Estimation Using Geomatics and Nrcs Techniques in the Vegavathi Watershed of Palar Basin, South India

Integration of geomatics acquisition and multi-source data for visualization and documentation of the finds in the Pauciuri archaeological site (Malvito, Calabria, Italy).

Abstract The surveys of the excavation area of the Pauciuri archaeological site, carried out with geomatic techniques, are described. 3D models of the site and of some particularly interesting remains have been obtained. For an early medieval burial both TLS and photogrammetric surveys were carried out, which allowed the development of two 3D models. The comparison between the two techniques has been made: the results are discussed.

The survey, the representation and the structural modeling of the S. Angelo roman bridge on the Savuto river (Scigliano, Calabria, Italy) for diagnostics and conservation aims.

Abstract In the framework of the activities carried out for a research project aimed at the structural monitoring of public and historic buildings in the Savuto valley (Cosenza, Italy), the survey of the S. Angelo Roman bridge along the Via ab Regio ad Capuam was carried out with integrated geomatic techniques. The result of the geometric survey is a realistic 3D model with a dual utility: (a) to allow the identification of elements that can provide indications on the structural health of the artifact (crack pattern, deformations, settlements) and (b) to extract a simplified 3D model to be used for structural calculation with the Finite Element Method (FEM). In the paper, the survey of the S. Angelo bridge is described, carried out with integrated geomatics techniques. The 3D structural model of this artifact is shown and the comparison with previous research results is presented.

Integrated Archaeological Modeling Based on Geomatics Techniques and Ground-Penetrating Radar

Archaeological sites have been subjected to preservation efforts due to their significant historical and cultural value, as well as their vulnerability. Several advanced digital imageries and modeling technologies have been proposed in the literature and adopted in practice to obtain accurate data required to manage and restore archaeological sites. This study proposes an integrated data collection and analysis methodology combining aerial and close-range photogrammetry, geographic information systems (GIS), and ground-penetrating radar (GPR) technologies to capture essential geospatial and geophysical information for preserving archaeological sites. The integrated methodology was applied and demonstrated with data and information collected from the important archaeological site of Qaser Amra, which is an ancient castle located in the desert in Jordan. The proposed methodology generated various levels of details, including a 2.5-dimensional geo-reference model, a GIS vector site layout, and a three-dimensional (3D) textured model. Subsurface detection of anomalies was performed across the site using the GPR technology. Most anomalies indicated shallow subsurface walls buried within depths ranging from half to one meter and at different extensions. Moreover, based on the GPR data, the horizontal and vertical extent of Qaser Amra’s walls were defined using 3D imaging. The integrated 3D archaeological model of Qaser Amra can be used for archaeological documentation, maintenance and monitoring, conservation, tourism, and urban planning.

An Experimental HBIM Processing: Innovative Tool for 3D Model Reconstruction of Morpho-Typological Phases for the Cultural Heritage

In this paper, we want to propose an investigation and a re-reading of the “Conventazzo” of San Pietro di Deca in Torrenova (ME), through the use of geomatics techniques (laser scanner, UAV—Unmanned Aerial Vehicle-photogrammetry and BIM—Building Information Modeling) and a reconstruction and representation of different morpho-typological phases that highlight the numerous changes that this structure has undergone over the years. Particular attention was given to the BIM/HBIM (Heritage BIM) construction, bearing in mind that, in particular, the use of HBIM software for cultural heritage cannot perfectly represent old buildings with complex notable and particularly detailed architecture. Specifically, a new methodology is presented in order to replicate the complex details found in antique buildings, through the direct insertion of various 3D model parts (.obj) (point cloud segmentation from laser scanner and UAV/photogrammetry survey) into a BIM environment that includes intelligent objects linked to form the smart model. By having a huge amount of information available in a single digital model (HBIM), and by including all the information acquired during the survey campaign, it is possible to study the morphotypological evolutions of the building without the need to carry out subsequent survey campaigns. The limit of the proposed methodology, compared to the most used methodologies (despite the good results obtained), is that it requires the use of many types of software and is very slow. The proposed methodology was put to the test on the reconstruction of the “Conventazzo” in San Pietro di Deca, Torrenova (Messina).

Soil Quality Assessment Using Geomatics Techniques For The Garraf River Basin

Overview of assessment in geographical areas (GIS) and model reviews, positioning (GNSS), positioning, this study was conducted for the purpose of estimating the soil quality of the Gharat River Basin in the north of Dhi Qar Governorate using geomatics techniques represented by geographic information systems (GIS), remote sensing (RS) and positioning systems (GNSS). Which is about (90 km) from the city center. In nature soils and the correlation (B / C) reached (R2 = 0.907) for sand, while the clay was correlation with the range (B / R) and it was (R2 = 0.763) in While the correlation between the silt and the band (B/R) was recorded (R2 = 0.730), the ph record (7.8-8.42) as it was classified as a neutral slant to the basal and it was clear from the statistical analysis that there is a relationship with the range (C / B) as it reached (R2 = 0.583). The results showed a decrease in the values of soil samples between (0.2 - 1.7%) and the results of the analysis. 0.114% -0.197%) and the results of the statistical analysis showed the correlation of the range (C/NIR) and gypsum with a correlation value of (R2 = 0.686) in the proportion of lime ranged between (64.5% -21.5%) and the statistical analysis showed a correlation between calcium carbonate and the relativity of the range (C / NIR) as recorded (R2 = 0.513), the results of the analysis of samples from the study samples ranged between (26.86-395.55), and through the statistical analysis it was found that there is a relationship between the rate of sodium adsorption and the ratio of the bandwidth of the satellite visual correlation amounted to (R2 = 0.736), and it ranged The electrical conductivity values for the soils of the study area (5.79 -44.2 dS.m¯1) and it was a correlation (G / R) and the correlation value was (R2 = 0.602), the calcium values in the area. The study ranged between (400-1944 ppm) and the correlation numbering (R2 = 0.640) and the rates of magnesium in the study table ranged, the correlation coefficient (R2 = 0.602), the sodium record between (50-1307 ppm) and the correlation range was (C / NIR) ) Correlation coefficient reached (R2 = 0.920), calcium carbonate ratios were found in the study stations (64.5% -21.5%) and its ratio reached with the range (C / NIR) as the proportion of gypsum in the region was calculated. The correlation coefficient of gypsum and range (C / NIR) was calculated) where it reached (R2 = 0.686), the sodium adsorption ratio (SAR) was calculated and meals were between (26.86-395.5) and there was an association with the range (B / R + NIR) as it was recorded (R2 = 0.737)

Monitoring of Land Degradation in Alluvial Plain in Iraq by Using Geomatics Techniques

Iraq faces a major environmental problem represented by severe deterioration, which threatens its food security. Many natural and human factors combine to make it, and it has dire environmental, economic, social and cultural consequences, most notably the loss of productive lands, the movement of sand dunes, severe sand and dust storms, and the resulting increase in air pollution. This study attempts to identify the development of the problem, analyze its causes and consequences, and propose a number of solutions to address it. In this article Remote Sensing techniques have been used to monitoring land degradation in ( Alluvial Plain ) of Iraq for the stage (1976 - 2021) using different sources of data such as satellite images (Landsat 1-5 MSS 1976, Landsat 5 1996 TM, Landsat8 2016 and sentinel 2 2021), also more than one software was used such as ENVI 5.3 and Erdas image 2015 to extract information from above images, Erdas imagine 2015 was use to sub set area of study, layer stack, merge resolution and classification stage, Arc GIS 10.7 use to make database and maps production), the article used supervise and unsupervised classification techniques to obtain the results, the article indicated that there is a big problem in the year 1976, this problem almost disappeared in the second station of work 1996, but it returned back after that through the results for the years 2016 and 2021. Finally, the article found a deterioration in the soil class during the stages from 2016 (988.547 Km2) to 2021(1342.398 Km2) and a decrease in the area of vegetation cover from (1931.596 Km2) in (2016) to (1632.695 Km2) in (2021).

Estimation Of Water Quality Using Geomatics Techniques for The Garraf River Basin

This study was conducted for the purpose of estimating the soil and water quality of the Gharraf River Basin in the north of Dhi Qar Governorate using geomatics techniques represented by geographic information systems (GIS), remote sensing (RS) and positioning systems (GNSS). Which is about (90 km) from the city center. The chemical analyzes of the water samples showed that the degree of interaction was between (7.84-7.7) and the electrical conductivity (dS.m¯1.1-1.05), and the total dissolved substances were between (1106-1051ppm), and the mathematical statistical relationships were weakly correlated with the ratios of the visible space bands. pH, electrical conductivity and total dissolved materials. Calcium ratios in the study area ranged between (ppm 47.4-107) and there was a significant correlation with the range (B/R + B) with a value of (R2 = 0.51), and the results showed the ratios of magnesium in the study area between (ppm 9.67 - 26.61.) Between it and the band ratio (B/R + B)), a correlation relationship with a value of (R2=0.525), potassium recorded an average between (3.1-ppm 5.5), and there was a significant correlation between it and the band ratio (B/R +R) and it reached (R2=0.665). ), found a statistical relationship between sodium and the ratio of the band (B/R + R)) and a significant correlation was recorded with a value of (R2 = 0.527). - 102.52) And there was a correlation between the presence of chloride and the ratio of the range (B/NIR + G) as it was recorded (R2 = 0.593), the bicarbonate recorded ratios between (ppm 1.8-2.7), and there was a statistical relationship between the bicarbonate and the ratio of the range (C / R). ) amounted to (R2 = 0.573), nitrate values were recorded in the study area between (4 - 3.45 ppm) and there was a significant correlation between them and the range (B5) as it reached (R2 = 0.581), sulfate values were recorded between (207.25 - 277.5 ppm) and through Statistical analysis found that there is a correlation between The presence of sulfate with the ratio (C + B + G + R + NIR) which amounted to (R2 = 0.596), the sodium adsorption ratio (SAR) was calculated, as its values ranged between (3.192 - 0.147) and most of the statistical relationships were weakly related to the spatial ratios and were gradually The hardness values in the study area are between (99.7 - 198.1)(

Photogrammetry (SfM) vs. Terrestrial Laser Scanning (TLS) for Archaeological Excavations: Mosaic of Cantillana (Spain) as a Case Study

The discovery of a Roman mosaic from the 2nd century AD in Cantillana (Seville) generated interest and the need for exhaustive documentation, so that it could be recreated with real measurements in a 3D model, not only to obtain an exact replica, but with the intention of analyzing and studying the behavior of two main geomatics techniques. Thus, the objective of this study was the comparative analysis of both techniques: near object photogrammetry by SfM and terrestrial laser scanner or TLS. The aim of this comparison was to assess the use of both techniques in archaeological excavations. Special attention was paid to the accuracy and precision of measurements and models, especially in altimetry. Mosaics are frequently relocated from their original location to be exhibited in museums or for restoration work, after which they are returned to their original place. Therefore, the altimetric situation is of special relevance. To analyze the accuracy and errors of each technique, a total station was used to establish the real values of the ground control points (GCP) on which the comparisons of both methods were to be made. It can be concluded that the SfM technique was the most accurate and least limiting for use in semi-buried archaeological excavations. This manuscript opens new perspectives for the use of SfM-based photogrammetry in archaeological excavations.

The Evaluation of Rental Amount of Religious Endowments by Using Geomatic Techniques and Machine Learning Algorithms Hilla/ Iraq

The religious endowments are one of the important sources, which acquire historical, cultural, and economic importance in all countries of the world. In particular, a religious endowment in Iraq includes several distributed real estates and lands that usually require efficient management systems. One of the most important factors affecting the management of real estates that belong to religious endowments is the rental amount of each real estate. In general, the estimation of the rental of real estates can support the future development of religious endowments. Governmental agencies are faced with some challenges in the management of religious endowments in terms of rental pricing due to numerous economic and geographic factors. The rapid development of artificial intelligence systems and Geomatic techniques can present a framework for rental amount estimation based on spatial and non-spatial factors. In this study, a machine learning algorithm (Support Vector Regression) will be combined with Geographic Information System (GIS) to predict and evaluate the rental amount of real estates that belong to a religious institution in Iraq (Shiite endowment in Hillah city). The final results indicated that the proposed method achieved an overall accuracy of 71%, a root mean square error of 0.2257 million Iraq, Dinar (IQD), and a correlation coefficient of 0.9272. This study can be used as an effective tool for the decision-makers to plan and manage the religious endowments in developing countries.

Assessment of Electricity Sector Using Geomatics Techniques: (Ramadi City as a Case Study)

Geomatics involves the collection, management, integration, representation, analysis, modeling and display of geographically referenced information describing both the Earth’s physical features and the built environment. One of the main use of this tool is to estimate electrical energy demand throughout Al Anbar Governorate, which have major problems in this sector with about 750 to 770 MW. The consumption of the city of Al Ramadi is about 200 MW. According to official forecasts by the Directorate of Electricity Networks of Al Anbar, this demand is expected to increase to about 900 MW during the summer of 2020. The present distribution systems in Al Ramadi are mostly overhead. Gradual conversion from overhead to underground systems, particularly at the 11 kV level, is recommended, especially in the central part of the city. This will allow for higher system safety and reliability, and for a much aesthetically improved appearance. This necessitated the construction of additional backup stations. Furthermore, prepared a plan for stations that have been constructed in the year 2020, in order to meet the anticipated demand growth during the planning period. Long-term plan for the Governorate of Al Anbar in order to cope with the increased demand for electrical energy.

Assessment of parameters and preparation of hydrodynamic model for lower Damodar Basin using geomatic techniques

Assessment of parameters and preparation of hydrodynamic model for lower Damodar Basin using geomatic techniques

Monitoring urban growth directions using geomatics techniques, a case study Zagazig city-Egypt

The present paper explores the expansion and directions of urban growth in Zagazig city, a large city in the Nile Delta of Egypt. The paper assessments the spatial expansion and directions of the urban area for the years 1952, 1984, 2000, 2019. Besides, urban growth shapes were determined using the coefficient of the shape equation. Moreover, the Ordinary Least Squares (OLS) model was used to determine the impact of the spatial factors (roads network, waterways, and the no residential uses) on urban growth and its directions. Finally, a prediction of urban growth directions that could accommodate the population growth up to 2050 was identified using the rate of the growth equation. The year 2050 was chosen according to the urban development plan proposed by the government 2050 for the region. The urban growth expansion and directions revealed that the unsustainable trend of built-up expansion continued in this area. The built-up area increased 14,81 km2 during the period (1952–2019), resulting in a lack of original agricultural land, pare land. Otherwise, the western direction was also continued to occupy the urban distance directions in the entire period (1952–2019) with an increase of 32.3 percent in the city. The coefficient of the urban growth shape equation shows that the urban growth in the city took an unincorporated shape (stripe shape) in1952 recorded a 0,1 value. While the city was transformed to incorporate shape (circular and radiative shapes) during the years1984, 2000, and 2019 with recorded value 0,3. The OLS model results indicate that the most effective spatial factor on urban growth was the no-residential uses and roads network along the directions based on the Pearson coefficient recorded 0,8841, 0,8431 and the coefficient of determination R2 recorded 0,7816, 0,7108 respectively. The urban area directions of Zagazig city are expected to reach 34.8 percent, especially in the western direction by 2050. Furthermore, the urban distance directions are expected to rise 30.7 % also in the western direction. The study has confirmed that it is beneficial to identify current and future urban growth, urban growth shapes, and development that help regional planning authorities manage future urban growth and development following the area's carrying capacity.

Predicting the Impact of Future Land Use and Climate Change on Potential Soil Erosion Risk in an Urban District of the Harare Metropolitan Province, Zimbabwe

Monitoring urban area expansion through multispectral remotely sensed data and other geomatics techniques is fundamental for sustainable urban planning. Forecasting of future land use land cover (LULC) change for the years 2034 and 2050 was performed using the Cellular Automata Markov model for the current fast-growing Epworth district of the Harare Metropolitan Province, Zimbabwe. The stochastic CA–Markov modelling procedure validation yielded kappa statistics above 80%, ascertaining good agreement. The spatial distribution of the LULC classes CBD/Industrial area, water and irrigated croplands as projected for 2034 and 2050 show slight notable changes. For projected scenarios in 2034 and 2050, low–medium-density residential areas are predicted to increase from 11.1 km2 to 12.3 km2 between 2018 and 2050. Similarly, high-density residential areas are predicted to increase from 18.6 km2 to 22.4 km2 between 2018 and 2050. Assessment of the effects of future climate change on potential soil erosion risk for Epworth district were undertaken by applying the representative concentration pathways (RCP4.5 and RCP8.5) climate scenarios, and model ensemble averages from multiple general circulation models (GCMs) were used to derive the rainfall erosivity factor for the RUSLE model. Average soil loss rates for both climate scenarios, RCP4.5 and RCP8.5, were predicted to be high in 2034 due to the large spatial area extent of croplands and disturbed green spaces exposed to soil erosion processes, therefore increasing potential soil erosion risk, with RCP4.5 having more impact than RCP8.5 due to a higher applied rainfall erosivity. For 2050, the predicted wide area average soil loss rates declined for both climate scenarios RCP4.5 and RCP8.5, following the predicted decline in rainfall erosivity and vulnerable areas that are erodible. Overall, high potential soil erosion risk was predicted along the flanks of the drainage network for both RCP4.5 and RCP8.5 climate scenarios in 2050.