Applied Geomatics最新文献

{"title":"Spatial correlation between GRACE-based total water level fluctuation and GNSS-derived dilatation rate of peatland area in Kalimantan, Indonesia","authors":"Leni Sophia Heliani,&nbsp;Cecep Pratama,&nbsp;Poppy Andriani Wirawan,&nbsp;Rendra Fauzi,&nbsp;Sidik Tri Wibowo,&nbsp;Nurrohmat Widjajanti,&nbsp;Danardono Danardono,&nbsp;Eko Hanudin","doi":"10.1007/s12518-025-00608-8","DOIUrl":"10.1007/s12518-025-00608-8","url":null,"abstract":"<div><p>Borneo Island is home to the world’s largest peatland with relatively straightforward tectonics movement. Those nature would be beneficial to illuminate the hydrological cycle of the Earth-surface processes. We analyzed the total water storage changes deduced from the Gravity Recovery and Climate Experiment (GRACE) satellite where the Global Navigation Satellite System (GNSS) network may detect its deformation. High-frequency data in GNSS observation might benefit the hydrological cycle real-time monitoring. We investigate the spatial correlation of GRACE-based total water storage changes and the GNSS-derived horizontal dilatational strain rate. We found that the dilatational strain rate based on GNSS data negatively correlates to the Equivalent Water Height (EWH) change observed from GRACE data. Hence, the extensional dilatation rate (&gt; 20 nanostrain/yr) is observed exactly in the decreased EWH region ( &lt;-13 mm), while the compressional dilatational region (&lt; -20 nanostrain/yr) is observed in the increased EWH (&gt; 20 mm) trend. Finally, we highlighted that GNSS observation’s precise horizontal dilatation rate in Borneo Island is reliable for detecting seasonal total water storage changes.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":"17 1","pages":"103 - 115"},"PeriodicalIF":2.3,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594535","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}

{"title":"An application of remote sensing and GIS used in groundwater potential zones for sustainable urban development in coastal areas between Chettikulam and Kolachal, southern India","authors":"Sakthi Priya R,&nbsp;Antony Ravindran A,&nbsp;Richard Abishek S,&nbsp;Christinal J,&nbsp;Vinoth Kingston J,&nbsp;Antony Alosanai Promilton A,&nbsp;Abinaya R","doi":"10.1007/s12518-024-00604-4","DOIUrl":"10.1007/s12518-024-00604-4","url":null,"abstract":"<div><p>This study investigates groundwater potential zones (GWPZ) in the southern coastal regions of India, specifically from Chettikulam to Kolachal, using remote sensing (RS) and geographic information system (GIS) techniques. The primary objective is to identify suitable locations for sustainable groundwater storage and select subsurface basins for household and irrigation use. The research incorporates multiple thematic layers, including geomorphology, lithology, land use and land cover (LULC), lineament density, drainage density, slope, Digital Elevation Model (DEM), and rainfall, to provide a comprehensive analysis of groundwater availability and distribution. The Analytical Hierarchy Process (AHP) and GIS were employed to normalize and weight each criterion, enabling a weighted index overlay analysis of the eight thematic layers. Groundwater recharge zones were classified into low, medium, and high potential based on cumulative weighted values. The results indicate that the majority of the study area lies in the low to moderate groundwater potential zones, with low-potential zones occupying 46.72%, medium-potential zones accounting for 49.14%, and high and extremely high potential zones representing 2.82% and 1.32%, respectively. These findings highlight the fact that medium- to high-prospective areas have greater potential for groundwater extraction. The study underscores the significance of understanding geological and hydrological complexities such as lithological variations, land use changes, and drainage patterns to support sustainable urban development and groundwater management.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":"17 1","pages":"83 - 102"},"PeriodicalIF":2.3,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594533","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}

{"title":"Development of ANN optimized affine-6 2D coordinate transformation model","authors":"Moses N. Kinyua,&nbsp;Arthur W. Sichangi,&nbsp;Moses K. Gachari","doi":"10.1007/s12518-024-00600-8","DOIUrl":"10.1007/s12518-024-00600-8","url":null,"abstract":"<div><p>Coordinate transformation facilitates the integration of geodetic coordinates of points obtained from different sources into a common geodetic reference frame. In existing studies, mathematical transformation models such as Bursa-Wolf, Molodensky-Badekas, Veis, the affine transformation models and others have been applied. These models can lead to low accuracy, due to various factors, such as lack of understanding of the distortions and inconsistencies of the local datum and geodetic network distribution. Recently, Artificial Neural Networks (ANN) techniques for coordinate transformation have been evaluated in several countries and have been found to achieve better results compared to similarity models. In Kenya, there is little literature on the evaluation of these techniques for improving coordinate transformation. Therefore, this study aims to optimise the affine six-parameter 2-dimension coordinate transformation using ANN techniques. The methodology involves acquisition and processing of geodetic control datasets with common points in two coordinate systems: UTM and Cassini Arc 1960 for part of the Nyeri-Kirinyaga geodetic network, in Central region of Kenya. The Affine-6 transformation parameters are determined, applied for coordinate transformation and the distortions modelled. The transformation resulted in relatively low accuracy, possibly due to the limited ability of the model to map nonlinear patterns in the datum. This study proposed application of nonlinear ANN models; Multi-Layer Perceptron (MLP), and Radial Basis Functions Neural Network (RBFNN) to map the non-linear patterns and adjust the transformed coordinates, hence optimizing the Affine-6 model. A comparative evaluation was performed to determine the improvement in performance and compare the models. It was found that the ANN techniques improved the Affine-6 transformation by 92.55% and 92.27% in RMSE and 99.35%, 98.06% in horizontal error for MLP and RBFNN respectively.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":"17 1","pages":"63 - 81"},"PeriodicalIF":2.3,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594544","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}

{"title":"Exploring the intersection of artificial intelligence and higher education: opportunities and challenges in the context of geomatics education","authors":"Guenther Retscher","doi":"10.1007/s12518-024-00602-6","DOIUrl":"10.1007/s12518-024-00602-6","url":null,"abstract":"<div><p>In an era of rapid technological advances, artificial intelligence (AI) is becoming increasingly important in higher education. The use of AI tools presents both great potential and significant challenges, especially with regard to examinations and performance assessments. This paper provides a compact insight into the current state of development on AI in university education. Experiences are shared including questions and concerns about AI in higher education teaching. The role of AI in higher education is explored, focusing on its potential benefits and challenges, particularly in examinations and performance assessments. It provides insights into the current state of AI development in universities, highlighting its diverse applications and the associated ethical and practical considerations. Experiences and perspectives from educators are shared, reflecting both optimism about AI’s ability to enhance learning outcomes and concerns regarding fairness, transparency, and privacy. The paper emphasizes the need for responsible integration of AI in higher education in engineering disciplines, such as geomatics, balancing innovation with ethical considerations to promote equity and excellence in teaching and learning.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":"17 1","pages":"49 - 61"},"PeriodicalIF":2.3,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12518-024-00602-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"GIS – based land suitability assessment for vanilla cultivation in Eastern Uganda","authors":"Miyingo Johnmary,&nbsp;Chrish Kavuma","doi":"10.1007/s12518-024-00603-5","DOIUrl":"10.1007/s12518-024-00603-5","url":null,"abstract":"<div><p>Globally, vanilla annual consumption has increased, yet its production is almost constant across all areas. In Uganda, it faces significant challenges due to inadequate spatial knowledge of ideal soil conditions and climatic factors. Prior studies have centered on biophysical factors like soil texture, elevation, and land use in identifying suitable areas. In previous research, climate and soil chemical properties have not been included in the biophysical assessment of land. This study incorporates them in evaluating land areas suitable for vanilla growing, particularly in eastern Uganda with low vanilla production. Land suitability assessment (LSA) was made using climatic conditions, topography, and soil chemical and physical properties integrated with multicriteria decision-making (MCDM). Climatic data such as temperature was obtained from the climatic research unit (CRU) for a ten-year average period (2014–2023), and rainfall data for ten years (2014–2023) was obtained from climate hazards infrared precipitation (CHIRPS). Topographical data, such as the digital elevation model, was obtained from the United States Geological Survey (USGS). Soil's physical and chemical properties were obtained from Food and Agriculture Organization (FAO) data. Thematic maps for each parameter were developed using ArcGIS 10.8.2. Each parameter was reclassified; a weighted sum overlay was implemented to investigate the final land suitability assessment map. Ten composite soil samples were taken from randomly sampled areas of the case study and sent to the laboratory for standard soil tests on texture and pH to validate the suitability model. This showed a strong positive correlation between the model data and the observed sampled data. The highly suitable category covered 0.000425%, very suitable—77.487%, suitable—17.6159%, moderately suitable—4.5909%, marginally suitable—0.3161%, and not suitable—0%. Most of the land in the study area is in a very suitable category, which shows that the region can become a significant player in the vanilla industry. However, parts with moderately and marginally suitable categories need intensive land management activities to increase land quality for better vanilla yields. Therefore, LSA is recommended before a land utilization decision has to be made.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":"17 1","pages":"35 - 47"},"PeriodicalIF":2.3,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12518-024-00603-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fréchet distance in spatial data quality","authors":"Diego Teles da Cruz,&nbsp;Afonso de Paula dos Santos,&nbsp;Nilcilene das Graças Medeiros,&nbsp;Marconi Martins Cunha,&nbsp;Lígia da Silva Barbosa,&nbsp;William Rodrigo Dal Poz","doi":"10.1007/s12518-024-00605-3","DOIUrl":"10.1007/s12518-024-00605-3","url":null,"abstract":"<div><p>The purpose of this work is to evaluate the use of Fréchet Distance as a new method of analyzing positional accuracy in linear features. The Fréchet Distance considers the order of the vertices as well as line orientation, graphically demonstrating the behavior between them along the entire path. The graphic resource that makes this analysis possible is entitled free-space diagram, consisting of a system of two-dimensional coordinates that present the interactions throughout ellipses. The discrepancies obtained by the Fréchet Distance were compared with the values found by the Epsilon Band, Hausdorff Distance, Vertex Influence, Buffer, and Buffer Overlap Statistics methods. The experiment is composed of simulated data, which were created to investigate some effects, such as systematic displacements, positional differences in the initial and final vertices of the lines, presence of outliers and scale uncertainties, and also composed of real data. The results portrayed the sensitivity of the Fréchet Distance in relation to the outliers, in addition to proving the variations that occurred in the discrepancies when there was a change in the direction of the lines. At the end of this study, it was possible to propose a new methodology for applying the Fréchet Distance in the analysis of positional accuracy using linear features.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":"17 1","pages":"17 - 34"},"PeriodicalIF":2.3,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594599","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}

{"title":"Dynamic monitoring of surface soil moisture fluctuations using synthetic aperture radar and data-driven algorithms","authors":"Hrushikesh Rajeev,&nbsp;Punithraj Gururaj,&nbsp;Abhishek A Pathak","doi":"10.1007/s12518-024-00606-2","DOIUrl":"10.1007/s12518-024-00606-2","url":null,"abstract":"<div><p>The primary goal of the study is to employ Synthetic Aperture Radar (SAR) data and efficacy data driven approaches in modeling Surface Soil Moisture (SSM) of cultivable marginal bare fields. Three experimental test fields were selected which are basically cultivable but due water deficiency the fields are left bare. Samples for surface soil moisture, soil surface roughness and bulk density are collected from test fields in grid sampling manner in parallel with SAR data pass over study area. Sentinel-1 A data is pre-processed and each field sampling grid backscattering energy values are obtained. Surface roughness, dielectric constant and backscattered energy were used as input features to model SSM using Random Forest Regression (RFR), Support Vector Regression (SVR) and Back Propagation Artificial Neural Network (BPANN).We observed that BPANN outperformed SVR and RF by accurately predicting soil moisture with RMSE = 0.077 m³m⁻³, bias = 0.013m³m⁻³, and <i>R</i> = 0.94.This study sheds light on small scale agricultural lands which are deficient of water to support crop growth.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":"17 1","pages":"1 - 15"},"PeriodicalIF":2.3,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594686","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}

{"title":"Interphase modeling of sedimentation rate using the GIS-based modified universal soil loss equation","authors":"Azmeri,&nbsp;Muhammad Iqbal,&nbsp;Muhammad Fauzi,&nbsp;Maimun Rizalihadi","doi":"10.1007/s12518-024-00599-y","DOIUrl":"10.1007/s12518-024-00599-y","url":null,"abstract":"<div><p>The upstream area of the watershed has high rainfall, resulting in large volumes of runoff and peak discharge. The runoff discharge causes soil erosion, transporting soil particles by the flow and eventually settling as sedimentation. This sedimentation leads to river siltation and narrowing. Additionally, high-flow discharge causes turbulence and flooding. This research aimed to predict sedimentation rates due to land erosion in the watershed using the GIS-based Modified Universal Soil Loss Equation (MUSLE). The study was conducted in the Krueng Peuto sub-watershed in Indonesia. The interphase modeling revealed that the highest land sedimentation rate in the Krueng Peuto watershed occurred in 2015, with the sediment of 40,503.10 Mg.y⁻¹, while the least was in 2013, with 2,006.52 Mg.y⁻¹ of sediment. The results indicate that surface runoff has the most significant influence on land sedimentation. The rate of soil loss is closely related to land conservation practices, with poorly vegetated land contributing the most to surface runoff. Water flow velocity and its destructive power erode the soil into tiny grains, transported and deposited as sedimentation in the river. The MUSLE’s capability in identifying erosion-prone areas and predicting sediment yield based on rainfall events is crucial for effective sediment management planning. Implementing long-term land conservation measures is essential to preserve land capacity effectively.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":"16 4","pages":"1057 - 1068"},"PeriodicalIF":2.3,"publicationDate":"2024-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142598936","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}

{"title":"Circle-circle intersection. A universal method for solving typical surveying problems","authors":"Tadeusz Gargula","doi":"10.1007/s12518-024-00598-z","DOIUrl":"10.1007/s12518-024-00598-z","url":null,"abstract":"<div><p>The research problem of the article is to devise a universal mathematical procedure for calculating point coordinates from typical planar surveying measurements. The proposed solution involves calculating the intersection points of two circles with radii equal to the measured distances (the distance-distance intersection problem). The author demonstrates a straightforward method for reducing every typical surveying problem to the distance-distance intersection form. The procedure also verifies the accuracy of the calculated coordinates. The derived equations were tested numerically using practical examples. The devised procedure will be integrated into an exhaustive numerical algorithm for diverse surveying problems regardless of the geometric approach during measurements.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":"16 4","pages":"1047 - 1056"},"PeriodicalIF":2.3,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12518-024-00598-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142598851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drainage analysis of the Karanja River basin, Karnataka, India using Geo-informatics","authors":"Pawan Kumar Gautam","doi":"10.1007/s12518-024-00584-5","DOIUrl":"10.1007/s12518-024-00584-5","url":null,"abstract":"<div><p>A drainage analysis of Karanja River has been carried out using geospatial technique. These methods are considered effective for extracting river basin and their drainage networks. The drainage network extracted was categorized using Strahler’s classification system, revealing a dendritic drainage pattern in the basin. Consequently, the study concludes that remote sensing data, particularly SRTM–DEM data with a 90 m resolution, combined with geoprocessing techniques, serve as an effective tool for conducting morphometric analysis and evaluating linear, areal, relief, geometric, morpho-tectonics and social aspects of morphometric parameters. The Karanja basin covers an area of 2959 km², with the high surface rock permeability, low surface runoff, high infiltration rate, and low erodibility. The main stream length ratio of the basin is 36.29, suggesting that increasing trend between the highest and the lowest stream. The watercourses are elongated due to the shallow relief, resulting in a lower peak flow and a longer flow duration. The basin exhibits a gentle slope, minimal runoff potential, and mature stage of landform evolution. The asymmetric factor indicates the north-eastern shift of the channel. GIS-based analysis of all morphometric parameters, along with the erosional development of the area by the streams, indicates that the landscape has progressed well beyond maturity, with lithology playing a key role in shaping the drainage patterns. Advanced geospatial technology can be applied to geo-hydrological research systems in environmental management, watershed management and land system management, etc. with the future hydrological prospects of the area.</p></div>","PeriodicalId":46286,"journal":{"name":"Applied Geomatics","volume":"16 4","pages":"1025 - 1046"},"PeriodicalIF":2.3,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142598826","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}