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Journal articles on the topic 'Mapping QGIS'
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Vikhot, Yuriy, Solomiia Kril, and Ihor Bubniak. "DIGITAL GEOLOGICAL MAPPING AND GEODATA ANALYSIS USING TOOLS AND PLUGINS OF QGIS." SCIENTIFIC PAPERS OF DONNTU Series: “The Mining and Geology”, no. 1(27)-2(28)2022 (2022): 122–35. http://dx.doi.org/10.31474/2073-9575-2022-1(27)-2(28)-122-135.
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Purpose. The article aims is to demonstrate the possibilities, methods and advantages of using Quantum GIS (QGIS) plugins and mobile applications for digital geological mapping, input and primary analysis of field geodata in Earth Sciences – Structural Geology, Engineering Geology, Hydrogeology, Ecology, Geophysics, etc. Methodology. The most important tools and plugins of QGIS, an open source GIS program, that works on the most widespread platforms – Windows, MacOS X, Linux and applications on Android, iOS for digital mapping, structural geodata analysis, and visualization are used. Results. The most important tools and plugins of QGIS (Georeferencer GDAL, GarminCustomMap, Profile Tool, VoGIS-ProfilTool, qProf, qgSurf, Stereonet, qgis2web, and QField mobile application) are analyzed. Their using for digital geological mapping, input and analysis of structural and other geodata, construction of 2D topographic profiles, visualization of geodata in web browsers are briefly described. Scientific novelty. Tools and plugins of QGIS, which are necessary for certain purposes for working with various types of data on geological maps, their analysis, and construction of geological and geophysical profiles are defined. QGIS software applications allow to add new plugins, create your own notations for digital mapping that can be used to solve specific geological tasks and analyze geospatial and geological data, or add ready-made specialized geological notations according to geological standards. Practical significance. Complex using of basic, additional external plugins of QGIS and specialized geological markings contributes to effective field digital mapping, modern visualization of various types of geological maps with spatial reference, creation of new digital electronic and complex demonstration maps for printing and visualization in web browsers, construction topographic and geological 2D profiles, GIS analysis of structural geodata, slope analysis, etc. Data obtained in QGIS can be imported into such specialized programs as Petrel Exploration & Production Software Platform (Shlumberger), MOVE Software (Midland Valley), etc. Keywords: Quantum GIS or QGIS, QGIS tools and plugins, digital geological mapping, QField, GIS analysis of structural geodata, slope analysis.
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Fang, Zhe, Guoyan Jiang, Caijun Xu, and Shuai Wang. "A tectonic geodesy mapping software based on QGIS." Geodesy and Geodynamics 11, no. 1 (January 2020): 31–39. http://dx.doi.org/10.1016/j.geog.2019.08.001.
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Stuckey, Owen. "A Comparison of ArcGIS and QGIS for Animation." Cartographic Perspectives, no. 85 (June 22, 2017): 23–32. http://dx.doi.org/10.14714/cp85.1405.
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I compare two GIS programs which can be used to create cartographic animations—the commercial Esri ArcGIS and the free and open-source QGIS. ArcGIS implements animation through the “Time Slider” while QGIS uses a plugin called “TimeManager.” There are some key similarities and differences as well as functions unique to each plugin. This analysis examines each program’s capabilities in mapping time series data. Criteria for evaluation include the number of steps, the number of output formats, input of data, processing, output of a finished animation, and cost. The comparison indicates that ArcGIS has more control in input, processing, and output of animations than QGIS, but has a baseline cost of $100 per year for a personal license. In contrast, QGIS is free, uses fewer steps, and enables more output formats. The QGIS interface can make data input, processing, and output of an animation slower.
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Kelly, Brett. "Review of Unclassed Choropleth Mapping." Cartographic Perspectives, no. 86 (November 14, 2017): 30–35. http://dx.doi.org/10.14714/cp86.1424.
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Although unclassed choropleth maps lead to a more accurate representation of data, grouping of data into classes is still common. Commonly-used data classification techniques such as equal-interval, quantiles, and natural breaks produce very different and possibly misleading representations. An unclassed map creates a distinct color for each unique value. The method was introduced by Tobler in 1973 using an x, y coordinate plotter that created crossed-line shadings. Tobler’s unclassed proposal used grayscale values because color displays were not yet available. Current color monitors have the ability to display 16.7 million colors, while most GIS software packages have limits to their color ramps. QGIS defines color ramps with up to 999 classes. It is also possible to define up to 1000 classes in ArcMap, and ArcGIS Pro has an “Unclassed” option when styling choropleth maps. Utilizing more color classes results in a more truthful map due to minimizing error from the grouping of data. The unclassed method is examined here along with color ramps and classification schemes in QGIS and Esri’s ArcMap/ArcGIS Pro. It is demonstrated that it is usually impossible to create a truly unclassed choropleth map using the default color schemes in these programs.
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Singh, Manmohan, Alex Thomas, Vinay Khalko, and Vinay Kumar. "Flood hazard mapping using HEC-RAS and QGIS for Meja dam." International Journal of Chemical Studies 8, no. 5 (September 1, 2020): 2044–47. http://dx.doi.org/10.22271/chemi.2020.v8.i5ab.10604.
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Ioan Cimpianu, Catalin, and Alin Mihu-Pintilie. "OPEN SOURCE FLOOD MAPPING TOOLS – QGIS, RIVER GIS AND HEC-RAS." Acta Geobalcanica 6, no. 1 (September 1, 2019): 35–41. http://dx.doi.org/10.18509/agb.2020.04.
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Wijayanthi, Kanthi, Ahmad Basuki, and Frans Tohom. "Efektivitas Pemanfaatan QGIS Dalam Pembuatan Peta Inventarisasi Perlengkapan Jalan." Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) 8, no. 2 (November 25, 2021): 145–55. http://dx.doi.org/10.46447/ktj.v8i2.315.
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In the field of road traffic and transportation, road inventory activities are needed to monitor or monitor the condition of road equipment. The proper data collection will facilitate evaluation and supervision by managers or supervisors of traffic and road transportation. The data collection of road equipment inventory data can be compiled manually or electronically, which is integrated with the road equipment information system. One of the electronic data collections is by utilizing QGIS, which is one part of the Geographic Information System (GIS). This study aims to measure the effectiveness of using QGIS in making road equipment inventory maps using survey data and questionnaires to determine the difference between manual inventory data collection and WebGIS-based inventory data collection. Data analysis used SPSS calculation to test data validity, reliability, normality, Wilcoxon test and N-Gain Score test. From this data, it is found that the use of QGIS in road equipment inventory mapping has an average effectiveness of 60.26%, with the interpretation criteria being quite effective.
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G, Pradeepa, Sudha R.V., Dhivya Dharshini N, Niroja K, and Sri Praba S. "Network Coverage Mapping." Irish Interdisciplinary Journal of Science & Research 06, no. 02 (2022): 110–12. http://dx.doi.org/10.46759/iijsr.2022.6215.
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Mobile signal strength (coverage) maps are of great importance to cellular operators for network planning and operation are expensive to obtain, imperfectly reflective of call quality outcomes, and potentially constructed from biased samples. Users of smartphones utilize high-speed network services while commuting on public transit and hope to have a consistent, high-quality connection. Measuring and monitoring coverage and quality of service mean being able to assess reality and its representation. Data collection is a vital ingredient in this process. Finding Mobile signal strength and Mapping the Coverage areas using GIS through differentiating the Network. Due to the massive load demand on cellular networks and frequent changes in the underlying radio channel, users often experience sudden unexpected variations in the connection quality. To overcome variations, we create a Map to differentiate the signal strength with a regular update through the Received Signal Strength Indicator (RSSI) in QGIS Software using Python and XML plugins.
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Ollivier, Chloé, Yoann Lecomte, Konstantinos Chalikakis, Naomi Mazzilli, Charles Danquigny, and Christophe Emblanch. "A QGIS Plugin Based on the PaPRIKa Method for Karst Aquifer Vulnerability Mapping." Groundwater 57, no. 2 (January 31, 2019): 201–4. http://dx.doi.org/10.1111/gwat.12855.
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Agus, F., Ramadiani, W. Silalahi, A. Armanda, and Kusnandar. "Mapping urban green open space in Bontang city using QGIS and cloud computing." IOP Conference Series: Earth and Environmental Science 144 (April 2018): 012032. http://dx.doi.org/10.1088/1755-1315/144/1/012032.
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Khakimova, Kamolakhon, Ilhomjon Musaev, and Akbarjon Khamraliev. "Basics of Atlas Mapping Optimization in the Fergana Valley." E3S Web of Conferences 227 (2021): 02003. http://dx.doi.org/10.1051/e3sconf/202122702003.
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Thematic maps reflecting the negative or positive impact of natural and anthropogenic environmental factors on human living conditions are of particular importance in modern world ecological and cartographic research. To optimize the ecological situation in the region, including the river regions and oases of Uzbekistan, such ecological mapping involves the creation of atlases of a systematic collection of analytical and synthetic maps. In the world, environmental mapping gives preference to synchronization methods where specific atlas maps are systematically created by interconnecting environmental characteristics, that is, several maps that interactively interact with their didactic texts in GIS software are deployed on a computer screen at the same time. These research programs ArcGIS, QGIS, and SWAT model software focus on database creation, electronic map visualization, modeling, and analytical mapping.
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Panidi, Evgeny, and Ivan Rykin. "Toward the capabilities of integration of the cloud-based spatial data infrastructures and universal desktop geographic information systems, case study of Google Earth Engine and QGIS." InterCarto. InterGIS 26, no. 1 (2020): 421–33. http://dx.doi.org/10.35595/2414-9179-2020-1-26-421-433.
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The paper describes briefly content and results of experiments produced to test possibilities and effectiveness of integration and common use of the Google Earth Engine public cloud geospatial computing platform and QGIS desktop geographic information system. The experiments were focused on probation of Google Earth Engine data unloading and visualizing using QGIS graphical user interface instead of standard Web-browser-based visualizing. Final goal of the experiments was to formalize the principles of architecture of the specialized QGIS module developed by authors. The module is planned as a tool for vegetation index time-series mapping and analysis aimed on estimation of the growing season parameters (i.e., time frames, length, etc.) with 1-day time resolution. The project context is formed by long-going research collaboration devoted to the investigation of interdependencies in dynamics and change of climate parameters and parameters of vegetation cover. In earlier studies, authors detected that analysis of quantitative parameters of the changing climate in northern regions have to be conducted for spring, summer and autumn growing seasons separately, as these periods are characterized by significant differences in plant vegetating conditions. However, due to the sparseness of ground observation network in northern regions of Russia (which are discovered as the area of interest by the authors), the issue of detailed estimation of the spatial distribution and differentiation of growing season framing dates and other parameters becomes almost unresolvable. Vegetation indexes mapping and analysis can be applied to solve this problem, but implementation of cloud computing facilities is needed in the case of 1-day time resolution of initial satellite imagery used to compute vegetation indexes, due to the huge size of processed data. In such a context authors touch the issue of integration of the cloud platform computational power with the desktop GIS analysis diversity.
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Fahri, Muhammad. "Melihat Peta Penyebaran Pasien Covid-19 Dengan Kombinasi QGIS Dan Framework Laravel." Jurnal Teknologi Terpadu 6, no. 1 (July 28, 2020): 25–30. http://dx.doi.org/10.54914/jtt.v6i1.248.
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Pemerintah daerah Kabupaten Ketapang kesulitan dalam melacak sebaran pasien Covid-19. Kesulitan ini dikarenakan data yang digunakan masih dalam bentuk tabel dan titik koordinat. Pada Penelitian ini penulis melakukan transformasi dari data tabel yang sulit dipahami menjadi data visualisasi mapping sehingga dapat dengan mudah melihat daerah mana saja yang paling banyak terdapat kasus ODP, PDP, dan Positif. Dengan meningkatnya wabah Covid-19 di Indonesia membuat pemerintah daerah harus bisa mengambil keputusan dengan cepat. Salah satu cara agar dapat mendukung pemerintah daerah dalam mengambil keputusan terhadap Covid-19 dengan membuat sebaran pasien Covid-19 berdasarkan peta koordinat yang dapat diakses oleh pihak yang memiliki kepentingan secara real time melalui website. Metode yang dilakukan dalam penelitian ini adalah pemetaan digitalisasi dengan menggunakan dua aplikasi yaitu QGIS dan framework Laravel. Hasil pembuatan aplikasi pemetaan pasien Covid-19 ini sangat akurat dalam memberikan gambaran visual sebaran pasien Covid-19 pada suatu daerah.
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Sansare, Darshan Anil, and Sumedh Yamaji Mhaske. "Natural hazard assessment and mapping using remote sensing and QGIS tools for Mumbai city, India." Natural Hazards 100, no. 3 (January 4, 2020): 1117–36. http://dx.doi.org/10.1007/s11069-019-03852-5.
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Baltyzhakova, Tatiana, and Aleksei Romanchikov. "SPATIAL ANALYSIS OF SUBWAY PASSENGER TRAFFIC IN SAINT PETERSBURG." Geodesy and cartography 47, no. 1 (March 31, 2021): 10–20. http://dx.doi.org/10.3846/gac.2021.11980.
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The purpose of the paper is to create clear visualization of passenger traffic for Saint Petersburg subway system. This visualization can be used to better understand the passenger flow and to make more informed decisions in future planning. Research was based on officially published information about passenger traffic on subway station for years 2016 and 2018. Visualization was created with the variety of methods and software: Voronoi diagrams (QGIS software), social gravitation potential (R programming language), presentation of gravitation potential as a relief (Blender software), service zones of ground transport accessibility (2GIS, QGIS and Mapbox mapping platform). In this research, authors propose the use of intersection between the service zones and social gravitation potential isolines as an instrument for spatial analysis of traffic data. Analysis shown that current development of subway system does not correspond to passenger distribution. All stations were classified according to their accessibility and propositions about future directions of development were made.
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Krylov, Sergei, Gleb Zagrebin, Dmitriy Mosolov, and Irina Shkurenkova. "Approaches and Solutions for Creating Atlases in Geographic Information Systems." Kartografija i geoinformacije 19, no. 33 (June 30, 2020): 4–17. http://dx.doi.org/10.32909/kg.19.33.1.
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The features, advantages and disadvantages of using QGIS, ArcGIS and MapInfo Pro when creating atlases of various types (geographic, complex and thematic) are considered in this paper. Schemes for their potential organization are presented and technological schemes for their automated creation in these geographic information systems are proposed. As a result, approaches and solutions for improving geographic information software can be formulated. Algorithms and modules were developed, primarily aimed at formalizing the structure of atlases and automating the design process of their mathematical basis. The development of functionality was implemented using built-in developer tools implemented in MapInfo as the MapBasic language, and in ArcGIS and QGIS in the Python programming language. A summary table was compiled, which presents the basic functionalities required to create atlases in GIS and their implementation in the appropriate software. These proposals will ensure the fulfillment of all requirements necessary for atlas design, primarily at the regional mapping level.
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Tobias, Michele M., and Alex I. Mandel. "Literature Mapper: A QGIS Plugin for Georeferencing Citations in Zotero." Air, Soil and Water Research 14 (January 2021): 117862212110092. http://dx.doi.org/10.1177/11786221211009209.
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Many studies in air, soil, and water research involve observations and sampling of a specific location. Knowing where studies have been previously undertaken can be a valuable addition to future research, including understanding the geographical context of previously published literature and selecting future study sites. Here, we introduce Literature Mapper, a Python QGIS plugin that provides a method for creating a spatial bibliography manager as well as a specification for storing spatial data in a bibliography manager. Literature Mapper uses QGIS’ spatial capabilities to allow users to digitize and add location information to a Zotero library, a free and open-source bibliography manager on basemaps or other geographic data of the user’s choice. Literature Mapper enhances the citations in a user’s online Zotero database with geo-locations by storing spatial coordinates as part of traditional citation entries. Literature Mapper receives data from and sends data to the user’s online database via Zotero’s web API. Using Zotero as the backend data storage, Literature Mapper benefits from all of its features including shared citation Collections, public sharing, and an open web API usable by additional applications, such as web mapping libraries. To evaluate Literature Mapper’s ability to provide insights into the spatial distribution of published literature, we provide a case study using the tool to map the study sites described in academic publications related to the biogeomorphology of California’s coastal strand vegetation, a line of research in which air movement, soil, and water are all driving factors. The results of this exercise are presented in static and web map form. The source code for Literature Mapper is available in the corresponding author’s GitHub repository: https://github.com/MicheleTobias/LiteratureMapper
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Silva, Ana Claudia Guedes, and Gabriel De Menezes Trevisan. "COMPARAÇÃO DA CLASSIFICAÇÃO DE OCUPAÇÃO DO SOLO DO MUNICÍPIO DE FREDERICO WESTPHALEN-RS, UTILIZANDO OS MÉTODOS ISODATA E DISTÂNCIA MÍNIMA." Nativa 7, no. 6 (November 11, 2019): 727. http://dx.doi.org/10.31413/nativa.v7i6.7970.
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O uso dos Sistemas de Informações Geográficas (SIG), em produtos de sensoriamento remoto, tem sido cada vez mais utilizadas no mapeamento terrestre, facilitando na obtenção de informações espaciais. O objetivo deste trabalho foram avaliar duas diferentes técnicas de classificação digital, para o mapeamento de uso do solo do município de Frederico Westphalen - RS. Para este fim, utilizou-se o software Quantum Gis 2.18.13 (QGis) para primeiramente realizar a composição de bandas, realce de contraste e recorte da imagem de satélite Sentinel-2A (10m de resolução espacial) aos limites do município em estudo. Aplicaram-se diferentes técnicas de classificação digital: 1) Mínima Distância (supervisionada) e 2) ISODATA (não supervisionada); sendo o 1 realizado no QGis e o 2 no software ArcGIS 10.5. Foram obtidos mapas com diferentes informações, dos quais a acurácia foi avaliada pelos Índice Kappa, Exatidão Global, Erros de Omissão e Comissão. Constatou-se, pela análise dos valores das classes temáticas, em km², que os melhores resultados foram obtidos para a classificação supervisionada, a qual apresentou mais concordância com o mapa visual considerado a verdade de campo. Já para a validação a mesma classificação se destacou com maiores valores de Exatidão Global e Índice Kappa, (63,41% e 45%) diferente do encontrado para a classificação ISODATA (48,17% e 31%).Palavras-chave: geoprocessamento; sensoriamento remoto; classificação digital; mapeamento. COMPARISON OF THE CLASSIFICATION OF LAND USE OF THE MUNICIPALITY OF FREDERICO WESTPHALEN - RS, USING THE ISODATA AND MINIMUM DISTANCE ABSTRACT: The use of Geographic Information Systems (GIS) in remote sensing products has been increasingly used in terrestrial mapping, making it easier to obtain spatial information. The objective of this work was to evaluate different digital classification techniques for the land use mapping of the municipality of Frederico Westphalen - RS. For this purpose, the software Quantum Gis 2.18.13 (QGis) was used to first perform band composition, contrast enhancement and cut-off of the Sentinel-2A satellite image (10m spatial resolution) at the boundaries of the studied municipality. Different digital classification techniques were applied: 1) Minimum Distance (supervised) and 2) ISODATA (unsupervised); 1 being done in QGis and 2 in ArcGIS 10.5 software. We obtained maps with different information, of which the accuracy was evaluated by the Kappa Index, Global Accuracy, Errors of Omission and Commission. The best results were obtained for the supervised classification, which presented more agreement with the visual map considered the truth of the field, by analyzing the values of the thematic classes in km². For the validation, the same classification stood out with higher values of Global Accuracy and Kappa Index, (63.41% and 45%) than that found for the ISODATA classification (48.17% and 31%). However, the thematic classification should be adjusted as well as changing the RGB band composition to improve the statistical parameters.Keywords: geoprocessing; remote sensing; digital classification; mapping.
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Pereira, Gustavo Willam, Domingos Sárvio Magalhães Valente, Daniel Marçal de Queiroz, André Luiz de Freitas Coelho, Marcelo Marques Costa, and Tony Grift. "Smart-Map: An Open-Source QGIS Plugin for Digital Mapping Using Machine Learning Techniques and Ordinary Kriging." Agronomy 12, no. 6 (June 1, 2022): 1350. http://dx.doi.org/10.3390/agronomy12061350.
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Machine Learning (ML) algorithms have been used as an alternative to conventional and geostatistical methods in digital mapping of soil attributes. An advantage of ML algorithms is their flexibility to use various layers of information as covariates. However, ML algorithms come in many variations that can make their application by end users difficult. To fill this gap, a Smart-Map plugin, which complements Geographic Information System QGIS Version 3, was developed using modern artificial intelligence (AI) tools. To generate interpolated maps, Ordinary Kriging (OK) and the Support Vector Machine (SVM) algorithm were implemented. The SVM model can use vector and raster layers available in QGIS as covariates at the time of interpolation. Covariates in the SVM model were selected based on spatial correlation measured by Moran’s Index (I’Moran). To evaluate the performance of the Smart-Map plugin, a case study was conducted with data of soil attributes collected in an area of 75 ha, located in the central region of the state of Goiás, Brazil. Performance comparisons between OK and SVM were performed for sampling grids with 38, 75, and 112 sampled points. R2 and RMSE were used to evaluate the performance of the methods. SVM was found superior to OK in the prediction of soil chemical attributes at the three sample densities tested and was therefore recommended for prediction of soil attributes. In this case study, soil attributes with R2 values ranging from 0.05 to 0.83 and RMSE ranging from 0.07 to 12.01 were predicted by the methods tested.
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Silva, Franciele de Freitas, Adriana Rodolfo da Costa, Pedro Rogerio Giongo, Luciane de Souza Pereira, Wagner de Freitas Silva, Thomas Jefferson Cavalcante, Victor Hugo Moraes, Bruno Henrique Tondato Arantes, and Janyne Moura dos Santos. "Mapping of Central Pivot Irrigation in the Hydrographic Basin of the Goiano Tributaries of the Araguaia River." Journal of Agricultural Science 11, no. 14 (August 31, 2019): 65. http://dx.doi.org/10.5539/jas.v11n14p65.
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The use of irrigation has expanded and favored agricultural productivity in recent years. The mapping through remote sensing has contributed to the monitoring of irrigated areas. In this sense, the objective of this study was to evaluate the central pivotal evolution in terms of location by municipalities, micro basins, soils and slope in the Goian tributary watershed of the Araguaia River State of Goiás. Data were available between 2000 and 2016. Irrigated areas were surveyed through the database available in the Geographical Information System of the State of Goiás (SGEI). The vector and raster data were manipulated using the Qgis v software. 2.18.26 (QGIS Development, 2019). The pivots were counted through the statistical function of the software. From the shape SGEI available in the soil map of classes is generated by categorizes tion of soil types. The declivity map was generated from raster files acquired through the Brazilian Geo morphological Database (INPE, 2017). The slope classes (%) were extracted with slope tool. There is an increase of more than 95% in the number of pivots and irrigated area between the years 2000 and 2016. The central pivots are more concentrated in the central region of the Red and Red-Light basins. The highest concentration of central pivots occurred in the municipality of Jussara. The pivots are located predominantly in an Oxisol area with a slope of 3 to 13%.
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Ammar, Abu, Askar, Abd Munir HB, and Sahara. "ANALISIS PEMETAAN ZONA KONSERVASI AIR TANAH DI PROVINSI SULAWESI SELATAN MENGGUNAKAN APLIKASI QGIS." JFT: Jurnal Fisika dan Terapannya 9, no. 1 (October 5, 2022): 55–64. http://dx.doi.org/10.24252/jft.v9i1.26495.
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This study is titled Mapping Analysis of Groundwater Conservation Zones in South Sulawesi Province Using QGIS Application. This study aims to digitize the map of groundwater conservation zones in 13 regencies/cities in South Sulawesi Province and to find out the division of groundwater conservation zones in 13 regencies / cities in South Sulawesi while calculating the area of each zone. The method used in this study is to use data processing methods, where secondary maps in jpeg form are digitized and then analyzed to obtain results in the form of zone division and area of each zone. From the results of research that has been obtained, there are 5 types of groundwater conservation zones, namely critical zones, rare zones, vulnerable zones, safe zones, and addition zones. In 13 regencies/cities in South Sulawesi Province the most extensive zone is a safe zone with an area of 818912.42 hectares. However, the second largest zone (59626,923 hectares) is a vulnerable zone where in this zone can no longer absorb properly. For this reason, there needs to be a preventive way to overcome the problem.
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Pankeeva, Т. V., N. V. Mironova, and B. А. Nоvikov. "EXPERIENCE IN MAPPING BOTTOM VEGETATION (FOR EXAMPLE OF LASPI BAY, BLACK SEA)." Geopolitics and Ecogeodynamics of regions 6(16), no. 4 (2021): 154–69. http://dx.doi.org/10.37279/2309-7663-2020-6-4-154-169.
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The article covers the possibility of applying digital technologies for mapping seafloor vegetation for coastal sea zone. Submitted method allows promptly and accurately receive information about distribution of algae species. Laspi bay is distinguished by biological diversity, an abundance of unique habitats of seafloor vegetation, where sea grass and algae communities are represented. Based on these qualities it was chosen as a model region for mapping macrophytes distribution. Aerial photography using an unmanned aerial vehicle (UAV) and hydro-botanical studies were conducted in the summer of 2019 year. The distribution map of macrophyte made based on aerial photos, while composition and structure were determined though hydro-botanical surveys. Five transects were laid in the bay, hydrobotanical profiles were compiled. Five seafloor plant communities identified for mapping. Digitized boundaries were set using software package QGIS version 2.18.12. Based on boundaries distribution map was made. The spatial patterns of the distributionof dominant macrophyte species (Cystoseira, Phyllophora and Zostera noltei) mapped along with quantitative characteristics.
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Tubalov, Alexey. "Mapping of protective forest coverage of territories and assessment of its optimality." InterCarto. InterGIS 28, no. 2 (2022): 773–84. http://dx.doi.org/10.35595/2414-9179-2022-2-28-773-784.
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Protective forest plantations are an integral part of agroforestry landscapes that serve as an ecological frame and contribute to the expanded reproduction of soil fertility. The problem of assessing the actual protective forest cover of territories is relevant. The solution of this issue allows you to identify the need, sequence and volume of forest reclamation work. The problem of mapping and assessing the protective forest cover of territories is closely related to the tasks of identifying the optimal forest cover of territories and substantiating approaches to the allocation of spatial-territorial complexes. The boundaries of the identified contours directly affect the values of specific indicators, which are the basis for the gradation of the need for forest reclamation work. The conducted studies demonstrate the possibilities of using the QGIS software package for the purpose of assessing the protective forest cover of the territory. The interpretation and creation of a cartographic model of protective forest plantations of the study area was carried out using QuickBird satellite images. The assessment was made on the basis of the calculation of specific indicators within the boundaries of landscapes for the territory of the Ilovlinsky District of the Volgograd region. As a standard for comparing the studied indicators, indicators of the protective forest cover of the “Kachalino” pilot farm were used. The application of the landscape-typological approach to the identification of territorial complexes made it possible to approach the issue of assessing the protective forest cover of territories in a more differentiated way than when using administrative boundaries. As a result of the study, landscape areas were identified, the protective forest cover of which is close to the normative, as well as those areas that need agroforestry measures. Cartographic work carried out in the QGIS software package confirms its effectiveness and allows us to recommend its use in agroforestry research related to the parallel application of various approaches to the allocation of territorial complexes.
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Wood, Brent, Sadie Mills, and Jane Robbins. "Mapping Marine Biodiversity: Using Open Source GIS Tools to Visualise and Extract Collection Data." Biodiversity Information Science and Standards 2 (July 4, 2018): e25787. http://dx.doi.org/10.3897/biss.2.25787.
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The National Institute of Water and Atmospheric Research (NIWA) in Wellington manages one of New Zealand’s Nationally Significant Taxonomic Collections and Databases. The NIWA Invertebrate Collection (NIC) maintains data for over 125,000 (and growing) marine invertebrate specimens from over 46,000 localities in New Zealand, the Ross Sea portion of the Antarctic and the wider South West Pacific. This data is managed using a Specify Software database. NIC managers are often requested to provide large data extracts from specific regions of the New Zealand zone for a variety of uses, from biodiversity checklists of benthic protected areas, to the environmental impact assessment of commercial activities on areas of seabed. Using a built-in query to extract relevant records based on geographic coordinates is straightforward for data constrained in a single square box, but requests for data are usually from within multiple polygons and require significant data grooming and refining once extracted to become useful. Using the open source GIS program Quantum-GIS (QGIS), we present a flexible and generic approach to map based access to collection databases. A direct OpenGIS Simple Features Reference Implementation Virtual Data Source (OGRVRT) link from the Specify database into QGIS was established so that a user can visualise the entire current collection holdings on a map. As changes are made to object data or new records are added these will update instantly on the map, which assists with immediate validation of data and prevents the need to re-export data. Collection object data fields can be added as required and labelled differentially to visualise patterns, and the data can either be exported to a file from selected areas using map tools, or can be used to produce publication quality maps. This is an ideal collection management tool for mapping and visualisation, which will improve the accuracy, access and use of the data.
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Hamad, Salah. "Updating Topographic Maps at Scale 1:250000 for Libyan Territory Using Quantum GIS (QGIS) and Open Geospatial Data: Libya Topo-Project." Journal of Geographical Studies 4, no. 1 (September 13, 2020): 22–34. http://dx.doi.org/10.21523/gcj5.20040103.
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From the beginning of the twentieth century, topographic maps for the Libyan state carried out by various compilers, where the first mapping was carried out by the Italian Military Geographical Institute, the Soviet Union Military, and the U.S. Army, followed by mapping carried out by the Libyan state from the 1950s to the 2000s. Most of these maps have not been digitized and updated using the techniques of geographic information systems and remote sensing. This paper discusses on the objectives, methodology and results of the Libya Topography Project, “Libya Topo” for updating the previously compiled topographical map at scale, 1:250000. Open spatial data from different platforms (OSM, Logistics Cluster, Landsat 8 satellite imagery, and SRTM data, etc.). Also, POIs extracted from previously compiled topographic and geological maps. Spatial database for each UTM zone created to store the features and raster. As for the cartographic style, the map layout adopted is the style of the U.S. Defense Mapping Agency maps. The results of the project are an update of 121 topographical map sheets using Quantum (GIS), those will be freely available for the interested users on request (e.g., environmentalists, academics, and university students, etc.).
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Flenniken, Jeffry M., Steven Stuglik, and Basil V. Iannone. "Quantum GIS (QGIS): An introduction to a free alternative to more costly GIS platforms." EDIS 2020, no. 2 (March 31, 2020): 7. http://dx.doi.org/10.32473/edis-fr428-2020.
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Geographic information system (GIS) software packages can be prohibitively expensive, causing many to shy away from mapping and spatial analysis. This 7-page fact sheet written by Jeffry M. Flenniken, Steven Stuglik, and Basil V. Iannone III and published by the UF/IFAS School of Forest Resources and Conservation introduces the reader to a free GIS software package called Quantum GIS (QGIS), walking the reader through simple GIS processes that can be used to visualize spatial patterns of importance to a variety of fields, including natural resources, agriculture, and urban planning. Learn how to create a land-cover map for a county of interest and create heatmaps that illustrate the density of a given attribute (Florida Springs for this example). This publication will benefit those interested in incorporating GIS into their work but who are unable to afford expensive proprietary GIS software packages, as well as anyone interested in learning a new GIS software package. https://edis.ifas.ufl.edu/fr428
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Sah, Andrian, Rachman Kurniawan, and Jusmawati Jusmawati. "GEOGRAPHIC INFORMATION SYSTEM MAPPING OF KEROSENE BUSINESSES IN JAYAPURA." JURNAL TEKNOLOGI DAN OPEN SOURCE 4, no. 2 (December 20, 2021): 227–31. http://dx.doi.org/10.36378/jtos.v4i2.1418.
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The role of BBM is very important in people's lives. Fuel is a basic need for rural and urban communities, both as household needs and as business needs. The existence of kerosene in Jayapura is quite evenly distributed. From the results of survey conducted by the OFFICE OF INDUSTRY, COOPERATIVE TRADE AND SMEs that every year the use of LPG as fuel for cooking is still very low, while the use of kerosene from year to year is widely used by local community, it causes more kerosene bussiness but people have difficulty getting information about the location to get the kerosene, therefore we need a system that can help find the location, namely geographic information system that can provide information about fuel oil base points. This system is in symbols form for making the system using QGIS with the PIECES analysis method, the design using Unified Modeling Language (UML) method and the development method using waterfall method. This research produces a system that can be expected to make it easier for the public to know the distribution of kerosene in Jayapura
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De Donatis, Mauro, Giulio Pappafico, and Roberto Romeo. "A Field Data Acquisition Method and Tools for Hazard Evaluation of Earthquake-Induced Landslides with Open Source Mobile GIS." ISPRS International Journal of Geo-Information 8, no. 2 (February 15, 2019): 91. http://dx.doi.org/10.3390/ijgi8020091.
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The PARSIFAL (Probabilistic Approach to pRovide Scenarios of earthquake Induced slope FAiLures) method was applied to the survey of post-earthquake landslides in central Italy for seismic microzonation purposes. In order to optimize time and resources, while also reducing errors, the paper-based method of survey data sheets was translated into digital formats using such instruments as Tablet PCs, GPS and open source software (QGIS). To the base mapping consisting of Technical Regional Map (Carta Tecnica Regionale—CTRs) at the scale of 1:10,000, layers were added with such sensitive information as the Inventory of Landslide Phenomena in Italy (Inventario dei Fenomeni Franosi in Italia—IFFI), for example. A database was designed and implemented in the SQLite/SpatiaLite Relational DataBase Management System (RDBMS) to store data related to such elements as landslides, rock masses, discontinuities and covers (as provided by PARSIFAL). To facilitate capture of the datum on the ground, data entry forms were created with Qt Designer. In addition to this, the employment of some QGIS plug-ins, developed for digital surveying and enabling of quick annotations on the map and the import of images from external cameras, was found to be of considerable use.
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Perea-Ardila, M. A., F. Oviedo-Barrero, and J. Leal-Villamil. "Cartografía de bosques de manglar mediante imágenes de sensores remotos: estudio de caso Buenaventura, Colombia." Revista de Teledetección, no. 53 (June 27, 2019): 73. http://dx.doi.org/10.4995/raet.2019.11684.
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<p>Mangroves are plant communities of high ecological and economic importance for coastal regions. This investigation provides a methodology for mapping Mangrove forests through remote sensing images in a semidetail scale (1:25,000) in a sector of the municipality of Buenaventura, Colombia. A Sentinel 2 image and 2017 highresolution ortophotomosaic of the municipality were used for the mangrove cartography, using QGIS software, spectral analysis was performed and supervised classification was established using Maximum Likelihood algorithm. Results shown that mangrove is the most representative cover in the study area whit 7,264.21 ha in total extension (59.21% of total area), the development classification got a thematic accuracy of 80% and 0.70 in Kappa index. The used methodology can be used as an academic and research reference for mangrove semi-detail mapping in the world.</p>
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Adza, Wisdom K., Andrew S. Hursthouse, Jan Miller, and Daniel Boakye. "Exploring the Combined Association between Road Traffic Noise and Air Quality Using QGIS." International Journal of Environmental Research and Public Health 19, no. 24 (December 19, 2022): 17057. http://dx.doi.org/10.3390/ijerph192417057.
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There is mounting evidence that exposure to air pollution and noise from transportation are linked to the risk of hypertension. Most studies have only looked at relationships between single exposures. To examine links between combined exposure to road traffic, air pollution, and road noise. A Casella CEL-63x instrument was used to monitor traffic noise on a number of locations in residential streets in Glasgow, UK during peak traffic hours. The spatial numerical modelling capability of Quantum GIS (abbreviated QGIS) was used to analyse the combined association of noise and air pollution. Based on geospatial mapping, data on residential environmental exposure was added using annual average air pollutant concentrations from local air quality monitoring network, including particulate matter (PM10 and PM2.5), nitrogen dioxide (NO2), and road-traffic noise measurements at different component frequencies (Lden). The combined relationships between air pollution and traffic noise at different component frequencies were examined. Based on Moran I autocorrelation, geographically close values of a variable on a map typically have comparable values when there is a positive spatial autocorrelation. This means clustering on the map was influenced significantly by NO2, PM10 and PM2.5, and Lden at the majority of monitoring locations. Studies that only consider one of these two related exposures may exaggerate the impact of the individual exposure while underestimating the combined impact of the two environmental exposures.
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Butters, Lucas Mageste, Alex Cardoso Pereira, Leopoldo Concepcíon Loreto Charmelo, and Alessandro Saraiva Loreto. "Uso de sistema de informações geográficas para identificação da capacidade de susceptibilidade à movimentos de massa na bacia hidrográfica do Rio Caratinga, Minas Gerais." ForScience 8, no. 2 (August 21, 2020): e00541. http://dx.doi.org/10.29069/forscience.2020v8n2.e541.
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Este estudo teve como objetivo mapear a susceptibilidade a movimentos de massa na bacia hidrográfica do rio Caratinga. A metodologia adotada para a realização do estudo se baseou em uma análise multicritério, em ambiente de Sistemas de Informações Geográficas (SIG), de cinco fatores condicionantes para a ocorrência de movimentos de massa, sendo eles: declividade do terreno, uso e ocupação do solo, tipo de solo, intensidade de precipitação e escoamento superficial. Todos os procedimentos de geoprocessamento foram realizados no QGIS 2.14.9. A declividade foi obtida por meio dos modelos de declividade do Instituto Nacional de Pesquisas Espaciais (INPE). As imagens utilizadas para a classificação da cobertura do solo foram do satélite Landsat-8 OLI e classificadas no QGIS. A precipitação foi determinada por meio de interpolação pelo método Inverse Distance Weighted (IDW). A metodologia para modelagem do escoamento superficial foi a do Curve Number. Foram gerados mapas de susceptibilidade para cada critério separadamente e, posteriormente, aplicado o processo analítico hierárquico para determinar o resultado final. Do total analisado cerca de 33,1% apresentaram susceptibilidade Alta ou Muito Alta, com mais de 50% possuindo risco Moderado. O estudo demonstrou a funcionalidade da metodologia utilizada para o mapeamento de áreas de risco. Destaca-se a possibilidade da utilização deste procedimento em órgãos públicos, visando mitigar os impactos negativos causados pelos movimentos de massa, no ambiente rural e urbano. Palavras-chave: Geoprocessamento. Mapeamento. Movimentos de Massa. Multicritério. The use of geographic information system to identify the susceptibility capacity to mass movements in the Caratinga River casin, Minas Gerais Abstract This study aimed to map the susceptibility to mass movements in the Caratinga river basin. The adopted methodology was based on a multicriteria analysis, in GIS environment, of five conditioning factors for the occurrence of mass movements, being them: land slope, use and occupation of the land, soil type, precipitation intensity and surface runoff. All geoprocessing procedures were performed in QGIS 2.41.9. The slope was obtained through INPE slope models. The images used to classify the land covering were from the Landsat-8 OLI satellite and classified in the QGIS. Precipitation was determined through interpolation, using the IDW method. The methodology for surface flow modeling was that of the Curve Number. Susceptibility maps were generated separately for each criteria and, subsequently, the hierarchical analytical process was applied to determine the final result. From the analyzed total, about 33.1% showed high or very high susceptibility, with more than 50% having moderate risk. The study demonstrated the functionality of the used methodology for the risk areas mapping. We highlight the possibility of using this procedure in public agencies, in order to mitigate the negative impacts caused by mass movements, in the rural and urban environments. Keywords: Geoprocessing. Mapping. Mass Movements. Multicriteria.
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Mascitelli, A., M. Ravanelli, S. Mattoccia, C. Berardocco, and A. Mazzoni. "A COMPLETE FOS APPROACH FOR INDOOR CROWDSOURCED MAPPING: CASE STUDY ON SAPIENZA UNIVERSITY OF ROME FACULTIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2020 (August 25, 2020): 361–65. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2020-361-2020.
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Abstract. Indoor mapping is an essential process in several applications such as the visualization of space and its utilization, security and resource planning, emergency planning and location-based alerts and, last but not least, indoor navigation. In this work, a completely free and open-source (FOS) approach to map indoor environments, and to navigate through them, is presented. Our tests were carried out within Sapienza University of Rome public buildings; in detail, Letters and Philosophy faculty and Engineering faculty indoor environments were mapped. To reach this goal, only open source software such as Quantum GIS (QGIS) and open-source platforms like Open Street Map (OSM) and its indoor viewer, Open Level Up (OLU) were adopted. A database of indoor environments of the two faculties, completely compatible with OLU, was created through QGIS. In this way, a public territorial information system of classrooms, offices and laboratories is accessible to everyone who can, hence, add or modify the information, following the principle of crowdsourcing and of Volunteered Geographic Information (VGI). The developed procedure is now standard and its outputs accepted by the OSM community. Hence, the long-term developments of this project are the proposal for the volunteered and cooperative indoor mapping and design of strategic buildings and infrastructures (hospitals, schools, public offices, shopping centers, stations, airports etc.), starting from the available information (indoor layouts) and knowledge acquired through experience of people who normally work inside them and/or visit them frequently. In this context it is possible to state that the development of VGI for internal maps for strategic buildings, infrastructures and denied GNSS environments, not only supports and improves internal and external navigation without interruption, but can also have a significant positive impact on security and emergency management.
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Wang, Yucheng, Jinya Su, Xiaojun Zhai, Fanlin Meng, and Cunjia Liu. "Snow Coverage Mapping by Learning from Sentinel-2 Satellite Multispectral Images via Machine Learning Algorithms." Remote Sensing 14, no. 3 (February 8, 2022): 782. http://dx.doi.org/10.3390/rs14030782.
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Snow coverage mapping plays a vital role not only in studying hydrology and climatology, but also in investigating crop disease overwintering for smart agriculture management. This work investigates snow coverage mapping by learning from Sentinel-2 satellite multispectral images via machine-learning methods. To this end, the largest dataset for snow coverage mapping (to our best knowledge) with three typical classes (snow, cloud and background) is first collected and labeled via the semi-automatic classification plugin in QGIS. Then, both random forest-based conventional machine learning and U-Net-based deep learning are applied to the semantic segmentation challenge in this work. The effects of various input band combinations are also investigated so that the most suitable one can be identified. Experimental results show that (1) both conventional machine-learning and advanced deep-learning methods significantly outperform the existing rule-based Sen2Cor product for snow mapping; (2) U-Net generally outperforms the random forest since both spectral and spatial information is incorporated in U-Net via convolution operations; (3) the best spectral band combination for U-Net is B2, B11, B4 and B9. It is concluded that a U-Net-based deep-learning classifier with four informative spectral bands is suitable for snow coverage mapping.
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Iwasaki, N., K. Hayashi, T. Tanaka, M. Katori, A. Onohara, and T. Oguchi. "CLIENT-SIDE WEB MAPPING SYSTEM FOR VINEYARD SUITABILITY ASSESSMENT." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W1-2022 (August 5, 2022): 223–28. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-223-2022.
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Abstract. Currently, several types of geospatial data are provided as open data and/or map tile data. This implies that geospatial data have become more barrier-free than older data with traditional licenses and formats. In this study, we used open geospatial data to develop a client-side web mapping system for assessment of site suitability for vineyards. As the research area for testing the system, we selected Nagano Prefecture, where many farmers recently started viticulture. The data used in the system are geology, soil, slope gradient, slope aspect, annual mean temperature, and annual maximum and minimum temperatures. These data were converted to a Grid PNG tile, which was developed by The Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology. FOSS4G tools, such as QGIS, TileMill, and MBUtil were used to prepare Grid PNG tile data. Map algebra functions were implemented using the WebGL. Web mapping systems developed in this research do not require server-side systems and/or middleware and can be operated using only a web browser. This means that various entities can be operated on the same system at low cost, or on a free web service such as GitHub pages.
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Pereira, Luís Flávio, and Ricardo Morato Fiúza Guimarães. "MAPEANDO USOS/COBERTURAS DA TERRA COM Semi-automatic Classification Plugin: QUAIS DADOS, CLASSIFICADOR E ESTRATÉGIA AMOSTRAL?" Nativa 7, no. 1 (February 1, 2019): 70. http://dx.doi.org/10.31413/nativa.v7i1.6845.
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Este trabalho teve como objetivo sugerir diretrizes para melhor mapear usos da terra usando o complemento Semi-automatic Classification Plugin (SCP) para QGIS, destacando-se quais os melhores conjuntos de dados, classificadores e estratégias amostrais para treinamento. Foram combinados quatro conjuntos de dados derivados de imagem Sentinel 2A, três classificadores disponíveis no SCP, e duas estratégias amostrais: amostras de treinamento (ROI’s) separadas ou dissolvidas em uma única amostra, obtendo-se 24 tratamentos. Os tratamentos foram avaliados quanto à acurácia (coeficiente Kappa), qualidade visual do mapa final e tempo de processamento. Os resultados mostraram que: (1) o SCP é adequado para mapear usos da terra; (2) quanto maior o conjunto de dados, melhor o desempenho do classificador; e (3) a utilização de ROI’s dissolvidas sempre diminui o tempo de processamento, mas apresenta efeito ambíguo sobre os diferentes classificadores. Para melhores resultados, recomenda-se a aplicação do classificador Maximum Likelihood sobre o maior conjunto de dados disponível, utilizando-se amostras de treinamento coletadas contemplando todas as variações intraclasse, e posteriormente dissolvidas em uma única ROI.Palavras-chave: sensoriamento remoto, amostras de treinamento, QGIS, Sentinel 2A,MAPPING LAND USES/COVERS WITH SEMI-AUTOMATIC CLASSIFICATION PLUGIN: WHICH DATA SET, CLASSIFIER AND SAMPLING DESIGN? ABSTRACT: This paper aimed to suggest guidelines to better map land uses using the Semi-automatic Classification Plugin (SCP) for QGIS, highlighting which the best data sets, classifiers and training sampling designs. Four data sets from a Sentinel 2A image were combined with three classifiers available in the SCP, and two sampling designs: separate or dissolved training samples (ROI's) in a single sample, obtaining 24 treatments. The treatments were evaluated regarding the accuracy (Kappa coefficient), visual quality of the final map and processing time. The results suggest that: (1) the SCP is suitable to map land uses; (2) the larger the data set, the better the classifier performance; and (3) the use of dissolved ROI always decreases processing time, but has an ambiguous effect on the different classifiers. In order to get better results, we recommend to apply the Maximum Likelihood classifier on the largest data set available, using training samples that cover all possible intraclass variations, subsequently dissolved in a single ROI.Keywords: remote sensing, training samples, QGIS, Sentinel 2A.
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Saputra, Surya Adi, Lucy Nafis, Ahmad Ghilbran Kemna, Erina Nur Amalia, Phentel Harry Rhamadhan, and Fikri Luqman Hakim. "PEMBUATAN PETA DUSUN ARGOSUKO UNTUK MEMBANTU WISATAWAN DALAM MEMAHAMI JALUR MENUJU TEMPAT WISATA CANDI JAWAR SAMUDRO." Jurnal Graha Pengabdian 4, no. 3 (September 1, 2022): 204. http://dx.doi.org/10.17977/um078v4i32022p204-208.
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Abstrak: Desa Argoyuwono merupakan salah satu desa di Kabupaten Malang yang memiliki banyak potensi desa, salah satunya adalah potensi wisata Candi Jawar Samudro yang terletak di wilayah Dusun Argosuko. Sulitnya dalam memahami jalur menuju Candi Jawar Samudro oleh pendatang, sehingga diperlukan adanya peta dusun untuk mengetahui seluruh wilayah dusun dilengkapi dengan jalur menuju Candi Jawar Samudro dan sekitarnya serta beberapa tempat yang menjadi pusat perhatian atau disebut dengan Point of Interest (POI). Pembuatan peta dilakukan dengan menggunakan software QGIS. Tujuan dari program Tim KKN Kolaborasi PTN Jawa Timur Universitas Negeri Malang Zona 3 adalah untuk membantu wisatawan dalam memahami jalur menuju tempat wisata Candi Jawar Samudro, dan mengenalkan wilayah Dusun Argosuko kepada pendatang. Program dilaksanakan pada Senin, 27 Desember 2021 hingga Kamis, 20 Januari 2022 yang berlokasi di Dusun Argosuko. Pelaksanaan program dilakukan dengan pendekatan deskriptif yang memanfaatkan software pemetaan geologi Quantum Geographic Information System (QGIS). Pelaksanaan program mendapatkan hasil peta dengan ukuran 100 x 68,3 cm. Pemasangan di balai Dusun Argosuko membuat pendatang dan wisatawan yang melewati tempat ini dapat melihat peta dan mengaksesnya secara langsung, dikarenakan balai dusun memiliki struktur bangunan yang terbuka. Abstract: Argoyuwono Village is in Malang Regency which has a lot of village potential: the Jawar Samudro Temple which is located in the Argosuko Hamlet area. It is necessary for immigrants to have a hamlet map to find out the entire hamlet area equipped with a route to Jawar Samudro Temple. It is surrounded as well as several places that are the center of attention or called Point of Interest (POI). Map making is done using QGIS software. The purpose of this program is to help tourists understanding the route to the Jawar Samudro Temple tourist spot, and introducing the Argosuko Hamlet area to newcomers. The program will be held for 2 months which is located in Argosuko Hamlet. Implementation of the program is carried out with a descriptive approach that utilizes the geological mapping software Quantum Geographic Information System (QGIS). The implementation of the program obtains a map with a size of 100 x 68.3 cm. The installation at the Dusun Argosuko hall allows visitors and tourists who pass through this place to see the map and access it directly, because the hamlet hall has an open building structure.
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Ollivier, Chloé, Konstantinos Chalikakis, Naomi Mazzilli, Nerantzis Kazakis, Yoann Lecomte, Charles Danquigny, and Christophe Emblanch. "Challenges and Limitations of Karst Aquifer Vulnerability Mapping Based on the PaPRIKa Method—Application to a Large European Karst Aquifer (Fontaine de Vaucluse, France)." Environments 6, no. 3 (March 26, 2019): 39. http://dx.doi.org/10.3390/environments6030039.
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Aquifer vulnerability maps can improve groundwater management for sustainable anthropogenic development. The latest update of karst aquifer vulnerability mapping is named: the Protection of Aquifers base on Protection, Rock type, Infiltration and KArstification (PaPRIKa). This multi-criteria assessment method is based on a weighting system whose criteria are selected according to the aquifer under study. In this study, the PaPRIKa method has been applied in the Fontaine de Vaucluse karst aquifer using the novel plugin for Quantum Geographic Information System (QGIS) software. The Fontaine de Vaucluse karst aquifer is the largest European karst hydrosystem with a catchment area that measures approximately 1162 km 2 . Four thematic maps were produced according to the criteria of protection, rock type, infiltration, and karst development. The plugin expedites the weighting system test and generates the final vulnerability map. At a large scale the vulnerability map is globally linked with primary geomorphological units and at the local scale is mostly affected by karst features that drive hydrodynamics. In conclusion, the novel QGIS plugin standardizes the application of the PaPRIKa method, saves time and prevents user omissions. The final vulnerability map provides useful contributions that are most relevant to groundwater managers and decision-makers. We highlight the sensibility of the vulnerability map to the weighting system and validation issues of the vulnerability map are raised.
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Demir, N., and N. Yogeswaran. "SEMI-AUTOMATED CEMETERY MAPPING USING SMARTPHONES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5 (November 19, 2018): 59–62. http://dx.doi.org/10.5194/isprs-archives-xlii-5-59-2018.
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<p><strong>Abstract.</strong> Cemeteries are being considered as a symbol of love, religion, and culture across the globe. The maps of cemetery and grave are the interest of individuals and communities, who wants to identify the resting place of their beloved ones. It is also crucial to administrators who are building and maintaining cemeteries in urban space.</p><p> Mapping cemeteries and its graves are complex and challenging since the practices involved in burying and policies for managing are different in regions. It is challenging for an individual to identify the graves of their beloved in a cemetery with thousands of graves. This study aims to address this problem by geotagging individual grave using the smartphone. The developed method allows the user to click pictures of the grave, add information like name, photo, surname, year of birth and death of the individual resting, and also enable the user to add a personal message or poem. These pieces of information are stored along with latitude and longitude are visualised as points on the google map in QGIS platform. In case of gravestones with a proper inscription, the user can mark its boundary so that the text embedded can be recognised automatically using the Google Tesseract OCR library in python environment. The Uncali Cemetery in Antalya had been chosen for this pilot study. The present framework extracted information with the accuracy of 65<span class="thinspace"></span>%.</p>
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Landa, M., P. Kavka, L. Strouhal, and J. Cepicky. "BUILDING A COMPLETE FREE AND OPEN SOURCE GIS INFRASTRUCTURE FOR HYDROLOGICAL COMPUTING AND DATA PUBLICATION USING GIS.LAB AND GISQUICK PLATFORMS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W2 (July 5, 2017): 101–5. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w2-101-2017.
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Building a complete free and open source GIS computing and data publication platform can be a relatively easy task. This paper describes an automated deployment of such platform using two open source software projects – GIS.lab and Gisquick. GIS.lab (<a href=" http: //web.gislab.io"target="_blank">http: //web.gislab.io</a>) is a project for rapid deployment of a complete, centrally managed and horizontally scalable GIS infrastructure in the local area network, data center or cloud. It provides a comprehensive set of free geospatial software seamlessly integrated into one, easy-to-use system. A platform for GIS computing (in our case demonstrated on hydrological data processing) requires core components as a geoprocessing server, map server, and a computation engine as eg. GRASS GIS, SAGA, or other similar GIS software. All these components can be rapidly, and automatically deployed by GIS.lab platform. In our demonstrated solution PyWPS is used for serving WPS processes built on the top of GRASS GIS computation platform. GIS.lab can be easily extended by other components running in Docker containers. This approach is shown on Gisquick seamless integration. Gisquick (<a href=" http://gisquick.org"target="_blank">http://gisquick.org</a>) is an open source platform for publishing geospatial data in the sense of rapid sharing of QGIS projects on the web. The platform consists of QGIS plugin, Django-based server application, QGIS server, and web/mobile clients. In this paper is shown how to easily deploy complete open source GIS infrastructure allowing all required operations as data preparation on desktop, data sharing, and geospatial computation as the service. It also includes data publication in the sense of OGC Web Services and importantly also as interactive web mapping applications.
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Fenando, Fenando. "Sistem Informasi Geografis (SIG) Pemetaan Lokasi Pertambangan Batu Bara Berbasis Quantum GIS (Studi Kasus: PT. Hasil Bumi Kalimantan)." Journal of Information Systems and Informatics 3, no. 1 (March 2, 2021): 108–20. http://dx.doi.org/10.33557/journalisi.v3i1.94.
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During this time, the determination of the mine coordinates location done by the fieldman of PT. Kalimantan Earth Results was using a GPS locator. Found 27 points of coal mines and 18 coal ports spread across the southern Sumatra region. At present the process of recording and mapping locations is still done conventionally, causing frequent data loss, inaccuracies in the location of mining and information about mining results are less up-to-date. Systematic determination of location points is needed to make the companies and customers easier to see the coal mine profiles, coal quality, find out the location of each mine, and up-to-date mining results reports via webgis The prototype model was chosen as a method in system development. As well as UML (Unified Modeling Language), Quantum GIS (Qgis) and php will be used for the designers, builders of the webgis. This research is expected to produce a geographic information system (GIS) mapping of coal mining location points.
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Rahayu, Yuni, Kurnia Muludi, and Astria Hijriani. "Pemetaan Penyebaran dan Prediksi Jumlah Penduduk Menggunakan Model Geometrik di Wilayah Bandar Lampung Berbasis Web-GIS." Journal of Information Systems Engineering and Business Intelligence 2, no. 2 (October 29, 2016): 95. http://dx.doi.org/10.20473/jisebi.2.2.95-101.
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Abstrak— Pengamatan pola penyebaran penduduk merupakan salah satu hal yang sangat penting bagi pemerintah. Informasi mengenai hal ini akan bermanfaat untuk pengambilan keputusan dalam perencanaan pembangunan di wilayah pemerintahan. Prediksi penyebaran jumlah penduduk akan sangat bermanfaat untuk perencanaan pembangunan di wilayah Bandar Lampung. Informasi mengenai penyebaran dan prediksi jumlah penduduk di wilayah Bandar Lampung masih diolah secara manual dengan penyajian masih terbatas dalam bentuk tabel dan grafik. Penelitian ini bertujuan untuk membangun sistem informasi geografis berbasis web yang menampilkan pemetaan penyebaran dan prediksi jumlah penduduk berdasarkan metode geometrik di wilayah Bandar Lampung. Data pada penelitian ini diperoleh dari publikasi Badan Pusat Statistik Kota Bandar Lampung. Sistem ini diimplementasikan menggunakan Qgis, Geoserver, PostgreSQL dan bahasa pemrograman PHP. Hasil keseluruhan pengujian menunjukkan bahwa sistem informasi geografis penyebaran dan prediksi jumlah penduduk telah sesuai baik dari segi fungsionalitasnya, maupun dari segi interaksi pelayanan pengguna.Kata Kunci— Sistem Informasi Geografis, Model Geometrik, Pemetaan Jumlah Penduduk.Abstract— Population distribution pattern is one of Bandar Lampung government concerns. This information is useful for goverment decision making for specific local development.The prediction of population number using certain model is predicted will be useful for Bandar Lampung development plan. Information about distribution and prediction of resident population in Bandar Lampung are processed manually and limitedly presented in form of tables and graphs. The purpose of this research is to build Bandar Lampung web based Geographic Information System that predict population distribution and mapping using Geometric Model. Data in this research were obtained from Statistics Of Bandar Lampung Municipality Publication. This system was implemented by using QGIS, GeoServer, PostgreSQL and PHP programming language. Overall,the testing results show that the system is appropriate and functional.Keywords— Geographic information system, Geometric Model, Mapping population.
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Lemenkova, Polina. "Geophysical Mapping of Ghana Using Advanced Cartographic Tool GMT." Kartografija i geoinformacije 20, no. 36 (February 15, 2022): 16–37. http://dx.doi.org/10.32909/kg.20.36.2.
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Ghana is a country exceptionally rich in geologic mineral resources with contrasting topographic relief and varied geophysical setting. This paper evaluated the geological and geophysical setting of Ghana with a special focus on the impact of the geologic setting and topography on gravity. Specifically, it assessed how variations in geology, topography, landscapes and the environment control the geophysical parameters and how these vary among the major regions of the country – the Volta Basin, Northern Plains, Ashanti-Kwahu (Kumasi) and Coastal Plains in the Accra surroundings. Previous studies utilizing traditional Geographic Information System (GIS) approaches have documented the geologic evolution of Ghana evolved as a part of the West African Craton. As a contribution to the existing research, this paper presents a regional analysis of Ghana by integrated mapping of geology, geophysics and topography of the country. The technical approach of this research focuses on utilizing the console-based scripting cartographic toolset Generic Mapping Tools (GMT) integrated with QGIS for processing and mapping the datasets: General Bathymetric Chart of the Oceans (GEBCO), Earth Gravitational Model 2008 (EGM-2008), gravity grids. The theoretical background is based on the geologic research of West Africa supported by high-resolution data. The paper defines a conceptual cartographic framework for integrated geologic and geophysical visualization in a regional-scale mapping project on Ghana.
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Promise I, Eze, Kaboufou Gideon W, and Douglas Ruth I. "Suitability mapping of solid waste disposal sites in Obio/Akpor local government area: rivers state of Nigeria." MOJ Ecology & Environmental Sciences 8, no. 1 (January 27, 2023): 1–7. http://dx.doi.org/10.15406/mojes.2023.08.00266.
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Obio/Akpor Local Government Area of Rivers State have constantly witnessed Rapid City growth and increased urbanization due to persistence rural-urban migration and the quest for human to meet their needs and wants. This has increased solid waste generation and unregulated dumping of solid wastes in unapproved sites. This prompted the need for this study which is aimed at mapping the suitability of solid waste sites in the study area with the objective of identifying the spatial locations and development of a database of suitability or otherwise of solid waste disposal sites. Ground survey and Geospatial techniques were utilized for data acquisition, manipulation and processing. Garmin 78csx GNSS receiver was used in observing the coordinates of ground positions of all solid waste disposal sites in the study area, the obtain coordinates were charted on the Google earth imagery (2022) and Open Street Map (OSM) (2022) to ensure the positions falls within the shape-file of the study area, On-Screen vectorization was perform using the point, line and polygon spatial tools in the QGIS 3.22 bialowieza software environment to determine the position and extent of solid waste sites under study. Proximity analysis was performed in QGIS environment for buffer of 200m, 500m and 1km to ascertain the suitability of solid waste collection centers and dumpsites base on global standard and proximity maps were produced. A total of (114) solid waste disposal sites were mapped, with (27) legal and (73) illegal collection points and (2) suitable and (12) unsuitable dumpsites respectively. The study also revealed that Elelenwo community in ward 6 has the highest (12) whereas Egbelu Ozodo community in ward 16 has the lowest (1) number of collection sites in the study area. Immediate review and enforcement of solid waste disposal and management laws is needed to forestall likely environmental hazards resulting from indiscriminate dumping of refuse in the study area.
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Graziuso, G., A. B. Francavilla, S. Mancini, and C. Guarnaccia. "Open-source software tools for strategic noise mapping: a case study." Journal of Physics: Conference Series 2162, no. 1 (January 1, 2022): 012014. http://dx.doi.org/10.1088/1742-6596/2162/1/012014.
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Abstract Currently, the European Union has adopted a series of measures to combat noise problems, focusing on some key indicators, such as the daily and night level of noise. Among the possible actions to manage environmental noise, there are the creation of noise maps and the adoption of action plans. Noise maps are, usually, produced by modelling and simulating data relating to traffic and various activities of an area. However, in some cases, these input data are not available or it is not possible to include all noise sources in the models used, causing difficulties in the prediction and analysis of the environmental impacts of noise. In this paper, starting from the analysis of open-source software tools for data collection, noise modelling and mapping, i.e. Openstreet Map, Noise Modelling and QGIS, based on free and public licenses, a methodology for the creation of noise maps will be presented. Finally, the outputs of the application of the methodology to the city centre of the Municipality of Nocera Inferiore, in south Italy, will be the creation of noise maps characterized by the spatial representation of the main standard noise indicators.
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Panidi, E., K. Popova, and V. Tsepelev. "GIS-BASED MAPPING OF ESTIMATED FLOOD INUNDATION AREA, GEOMETRICAL ASPECT." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W8 (August 22, 2019): 307–9. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w8-307-2019.
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<p><strong>Abstract.</strong> A full processing chain for inundation modelling/mapping is implemented in different specialised software like HEC-RAS or Flood Modeller. Alternatively, inundation water level can be estimated separately, and then can be mapped in desktop (universal) Geographic Information System (GIS) software. Last approach can be demanded in a complex already-formed GIS-based mapping processing chains, when inundation area mapping appears only as a step of analysis and mapping technology. This context is usual for cadastral accounting of inundation areas. However, such a processing chain have a lack of computation tools, as currently used desktop GISs (e.g., QGIS, ArcGIS, etc.) capable originally to map only a lake-type inundation areas (certainly, in the case of regular software assembly), while along-the-river inundation should have water surface sloping along the river body.</p> <p>Addressing to the filling the gap of along-the-river inundation mapping in desktop GIS software, we have developed an approach to mapping of river-type inundation area, and implemented it in a test mode to support cadastral accounting of river flood inundation areas. The approach is based upon geometrical modelling of the water surface only, and is not concerned with consideration of hydrogeological conditions and ground water regime. Being simplified, this technique may be rough tool for the cases when hydrogeological aspect have to be respected, however it is simple for implementation and is useful when estimating topography impact only.</p>
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Lemenkova, Polina, and Olivier Debeir. "Seismotectonics of Shallow-Focus Earthquakes in Venezuela with Links to Gravity Anomalies and Geologic Heterogeneity Mapped by a GMT Scripting Language." Sustainability 14, no. 23 (November 30, 2022): 15966. http://dx.doi.org/10.3390/su142315966.
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This paper presents a cartographic framework based on algorithms of GMT codes for mapping seismically active areas in Venezuela. The data included raster grids from GEBCO, EGM-2008, and vector geological layers from the USGS. The data were iteratively processed in the console of GMT, converted by GDAL, formatted, and mapped for geophysical data visualisation; the QGIS was applied for geological mapping. We analyzed 2000 samples of the earthquake events obtained from the IRIS seismic database with a 25-year time span (1997–2021) in order to map the seismicity. The approach to linking geological, topographic, and geophysical data using GMT scripts aimed to map correlations among the geophysical phenomena, tectonic processes, geological setting, seismicity, and earthquakes. The practical application of the GMT scripts consists in automated mapping for the visualization of geological risks and hazards in the mountainous region of the Venezuelan Andes. The proposed method integrates the approach of GMT scripts with state-of-the-art GIS techniques, which demonstrated its effectiveness as a tool for mapping spatial datasets and rapid data processing in an iterative regime. In this context, using GMT and GIS to find similarities between the regional earthquake distribution and the geological and topographic setting is essential for hazard risk assessment. This study can serve as a basis for predictive seismic analysis in geologically vulnerable regions of Venezuela. In addition to a technical demonstration of GMT algorithms, this study also contributes to geological and geophysical mapping and seismic hazard assessments in South America. We present the full scripts used for mapping in a GitHub repository.
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Sivakumar, V. "Urban Mapping and Growth Prediction using Remote Sensing and GIS Techniques, Pune, India." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 967–70. http://dx.doi.org/10.5194/isprsarchives-xl-8-967-2014.
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This study aims to map the urban area in and around Pune region between the year 1991 and 2010, and predict its probable future growth using remote sensing and GIS techniques. The Landsat TM and ETM+ satellite images of 1991, 2001 and 2010 were used for analyzing urban land use class. Urban class was extracted / mapped using supervised classification technique with maximum likelihood classifier. The accuracy assessment was carried out for classified maps. The achieved overall accuracy and Kappa statistics were 86.33 % & 0.76 respectively. Transition probability matrix and area change were obtained using different classified images. A plug-in was developed in QGIS software (open source) based on Markov Chain model algorithm for predicting probable urban growth for the future year 2021. Based on available data set, the result shows that urban area is expected to grow much higher in the year 2021 when compared to 2010. This study provides an insight into understanding of urban growth and aids in subsequent infrastructure planning, management and decision-making.
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Indarto, Indarto, Rufiani Nadzirah, and Hadrian Reksa Belagama. "Mapping of Sub-Optimal Land Based on NDVI Sentinel 2a Value: Preliminary Study." Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan 17, no. 3 (November 21, 2020): 194–204. http://dx.doi.org/10.14710/presipitasi.v17i3.194-204.
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Normalised Difference Vegetation Index (NDVI) is one of the vegetation indices used to analyse vegetation density. This study presents the potential use of NDVI to map dry-marginal-agricultural land (Dry-MAL). The study conducted in the eastern part of Situbondo, which includes three districts, namely, Arjasa, Asembagus and Jangkar. Sentinel-2A (recorded in 2018) and 450 Control points (GCPs) are used as the primary input. The region is an area with distinctive climate characteristics, where the dry season is longer than the rainy season. Analysis using "SNAP plug-ins" and "QGIS". Research procedures include (1) data inventory, (2) data pre-processing, (3) data processing and (4) accuracy testing. The NDVI classification can distinguish six (6) classes of land-use, i.e., water bodies, residential areas, dry MAL, non-irrigated rural area, irrigated paddy fields, forest-plantations. The NDVI classification produces Overall and Kappa accuracy values = 66,9% and 61,6%. Although the overall and kappa accuracy is below the standard, however, the result will benefit for further research of index vegetation or soil more applied for the identification of Dry-MAL
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Omar, Fatin Nabilah, Norainah Abdul Rahman, and Kamariah Abdullah. "MAPPING OF TOURISM PRODUCTS IN PERAK TENGAH DISTRICTS USING GEOGRAPHIC INFORMATION SYSTEMS." Malaysian Journal of Sustainable Environment 10, no. 1 (March 31, 2023): 125–46. http://dx.doi.org/10.24191/myse.v10i1.21254.
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Perak Tengah District had been excluded from being promoted as rural tourism in Perak main tourism clusters. The main problem is the tourism resources have not yet been effectively publicised and utilised and there is no official digital tourism database of tourism products in Perak Tengah District. The aim of this paper is to capture all potential tourism products in Perak Tengah and present it in the interactive map. In this paper, a software QGIS and Google Earth are used to locate and map the distribution of tourism in Perak Tengah District. According to the findings, 229 different tourism products have been located within the study area. The findings show, inadequacy of trade and service and accommodation to support tourism development. Besides that, these tourism products areas are supported by signages, roads, accessibility, parking, and facilities that are sufficient and satisfactory conditions for tourists to come. The mapping of tourism products is categorised into five including place of attraction, food and beverages, accommodation, education, trade, and services. By using coordinates made up of graphic data and qualities for each identified tourist attraction, the results of the identification of the distribution of tourism products are projected on a map.
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Herison, Ahmad, Yuda Romdania, Ahmad Zakaria, and Sandy Kusuma. "Design and Implementation of WebGIS Marine Ecotourism Area, Tegal Island, Lampung Province." Jurnal SPATIAL Wahana Komunikasi dan Informasi Geografi 19, no. 2 (December 31, 2019): 27–43. http://dx.doi.org/10.21009/spatial.192.4.
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Tegal Island has the potential and diversity of marine tourism which is an attraction for tourists. However, information is not yet available that can help tourists in knowing the objects and tourist areas contained in Tegal Island. This research presents tourism information in Tegal Island in the form of a Geographic Information System map. The mapping method is done using Quantum GIS software with the help of the QuickMapServices (QMS) plugin to display Google Earth imagery and the qgis2web plugin to convert QGIS files (.qgz) into web maps (WebGIS) and the presence of tourist index input. The mapping results obtained digitization of each tourist object and facility on Tegal Island in the form of shapefiles (.shp) as well as information displayed on the attribute table layer. WebGIS is used as a media for GIS map renderers that is easily accessed and adjusted according to the JavaScript Leaflet library (open source). Map of Geographic Information Systems makes it easy for people to convey and search for tourist information on Tegal Island.