Web GIS Research Articles

EFFICIENCY OF LAND TRANSFORMATION IN THE LAND OF SOLAR ENERGY (KREMENCHUK TOWN AS AN EXAMPLE)

The article considers the problems of modern use of urban areas, which are mostly related with the lack of reasonable scientifically and economically rational land policy. The issues of rational urban land using and land management in settlements have been studied by many domestic scientists, but to achieve the goal of rational and efficient land using, there is a need to continue research on these issues, especially at the regional and local levels. In particular, this applies to the formation of the mechanism of payment for land in conditions where the collection of taxes on labor and entrepreneurship significantly exceeds the amount of payment for land and other natural resources. The article gives an example of effective transformation of reserve lands which are not provided for permanent use and rent, located in the peripheral zone of the city, in the land of solar energy. The issue is considered from the standpoint of the value of unused urban land in their ability to generate additional income. Calculations to determine the efficiency of land transformation in the land of solar energy were made on the example of the commissioned solar power plant LLC «NOVE TEPLO", which is in the northern industrial hub of Kremenchuk, Poltava region, which covers an area of ​​150.00 hectares, and the total capacity of installed solar panels 75 MW. The total income of land transformation from reserve lands to solar energy lands for 10 years and rent income from 150 hectares of land for the specified period for reserve lands in Kremenchuk according to the values ​​of capitalized rent income standards are determined. The total income after the transformation of land was almost 300 times higher than the total income received before the transformation. Rating of ground-based SES was created by using the PV GIS web application. This tool allows you to estimate the average monthly and annual energy production from a solar electrical system connected to the grid. PV GIS calculates the optimal slope and slope exposure, which maximizes annual energy production.

PREFACE

Abstract. Simply defined, a Smart City is a city overlaid by a digital layer, which is used for the governance of the city. A Smart City uses intelligent technology to enhance our quality of life in urban environments, bringing together people and data from disparate sources such as sensors, demographics, topographic and 3D mapping, Building Information Models and many more. Increasingly, Smart Cities use this data in a variety of ways, to address key challenges related to transportation, communications, air quality, noise, well-being of the citizens, decision making relating to education and health and urban planning, as well as in relation to initiatives such as startups and fostering economic growth and employment within the city. As more data becomes available, the challenges of storing, managing and integrating such data are also multiplied.The first Urban Data Management Symposium (UDMS) was held in 1971 in Bonn, Germany, made the choice of hosting the 6th international conference on Smart Data and Smart Cities (SDSC) in Stuttgart a very natural one. SDSC was established in 2016 as the successor of the UDMS, and this year we celebrate the 40th anniversary of the series of symposia and conferences. The SDSC 2021 will be part of the scientific week on intelligent cities at HFT Stuttgart. Together four events were held during the week of 14th – 17th September 2021, and alongside SDSC participants were invited to attend the “Energy, water and food for the cities of the future” conference, the “LIS-City – liveable, intelligent, and sustainable City” workshop, and the mobility day Stuttgart. Participant interaction – and the ability to attend sessions across the four events – was particularly encouraged. SDSC 2021 itself was organised by the Urban Data Management Society (UDMS www.udms.net), ISPRS and HFT Stuttgart (the University of Applied Science Stuttgart), and Professor Volker Coors Chaired the SDSC committee.As in previous years, three key conference themes were proposed to represent the Smart Cities: Smart Data (sensor network databases, on-the-fly data mining, geographic and urban knowledge modeling and engineering, green computing, urban data analytics and big data, big databases and data management), Smart People (volunteered information, systems for public participation) and Smart Cities (systems of territorial intelligence, systems for city intelligence management, 3D modeling of cities, internet of things, social networks, monitoring systems, mobility and transportation, smart-city-wide telecommunications infrastructure, urban knowledge engineering, urban dashboard design and implementation, new style of urban decision-making systems, geovisualization devoted to urban problems, disaster management systems).This volume consists of 18 papers, which were selected from 41 submissions on the basis of peer review. These papers present novel research concerning the use of spatial information and communication technologies in Smart Cities, addressing different aspects relating to Smart Data. Selected papers tackle different aspects of Smart Cities: transport, sustainable mobility; dashboards and web GIS; citizen engagement and participation; sensors; urban decision making.The editors are grateful to the members of the Scientific Committee for their time and valuable comments, which contributed to the high quality of the papers. Reviews were contributed by: Alias Abdul-Rahman, Giorgio Agugiaro, Ken Arroyo Ohori, John Barton, Martina Baucic, Filip Biljecki, Lars Bodum, Pawel Boguslawski, Azedine Boulmakoul, Matteo Caglioni, Caesar Cardenas, Eliseo Clementini, Volker Coors, Youness Dehbi, Abdoulaye Abou Diakité, Adil El Bouziri, Claire Ellul, Tarun Ghawana, Gesquiere Gilles, Didier Grimaldi, Ori Gudes, Stephen Hirtle, Martin Kada, Lamia Karim, Robert Laurini, Christina Mickrenska-Cherneva, Christopher Petit, Alenka Poplin, Ivana Racetin, Dimos Pantazis, Preston Rodrigues, Camilo Leon Sanchez, Genoveva Vargas Solar, Nils Walravens, Parag Wate, Besri Zineb, Sisi Zlatanova. We are also grateful to the work of the local organising committee at HFT Stuttgart, without whom this conference would not have been possible.

PREFACE

Abstract. Simply defined, a Smart City is a city overlaid by a digital layer, which is used for the governance of the city. A Smart City uses intelligent technology to enhance our quality of life in urban environments, bringing together people and data from disparate sources such as sensors, demographics, topographic and 3D mapping, Building Information Models and many more. Increasingly, Smart Cities use this data in a variety of ways, to address key challenges related to transportation, communications, air quality, noise, well-being of the citizens, decision making relating to education and health and urban planning, as well as in relation to initiatives such as startups and fostering economic growth and employment within the city. As more data becomes available, the challenges of storing, managing and integrating such data are also multiplied.The first Urban Data Management Symposium (UDMS) was held in 1971 in Bonn, Germany, made the choice of hosting the 6th international conference on Smart Data and Smart Cities (SDSC) in Stuttgart a very natural one. SDSC was established in 2016 as the successor of the UDMS, and this year we celebrate the 40th anniversary of the series of symposia and conferences. The SDSC 2021 will be part of the scientific week on intelligent cities at HFT Stuttgart. Together four events were held during the week of 14th – 17th September 2021, and alongside SDSC participants were invited to attend the “Energy, water and food for the cities of the future” conference, the “LIS-City – liveable, intelligent, and sustainable City” workshop, and the mobility day Stuttgart. Participant interaction – and the ability to attend sessions across the four events – was particularly encouraged. SDSC 2021 itself was organised by the Urban Data Management Society (UDMS www.udms.net), ISPRS and HFT Stuttgart (the University of Applied Science Stuttgart), and Professor Volker Coors Chaired the SDSC committee.As in previous years, three key conference themes were proposed to represent the Smart Cities: Smart Data (sensor network databases, on-the-fly data mining, geographic and urban knowledge modeling and engineering, green computing, urban data analytics and big data, big databases and data management), Smart People (volunteered information, systems for public participation) and Smart Cities (systems of territorial intelligence, systems for city intelligence management, 3D modeling of cities, internet of things, social networks, monitoring systems, mobility and transportation, smart-city-wide telecommunications infrastructure, urban knowledge engineering, urban dashboard design and implementation, new style of urban decision-making systems, geovisualization devoted to urban problems, disaster management systems).This volume consists of 14 papers, which were selected from 41 submissions on the basis of double blind review, with each paper being reviewed by a minimum of three reviewers. These papers present novel research concerning the use of spatial information and communication technologies in Smart Cities, addressing different aspects of Smart Data and Smart Citizens. The selected papers tackle different aspects of Smart Cities: 3D; Citizen Engagement; transport, sustainable mobility; dashboards and web GIS; citizen engagement and participation; sensors; urban decision making.The editors are grateful to the members of the Scientific Committee for their time and valuable comments, which contributed to the high quality of the papers. Reviews were contributed by: Alias Abdul-Rahman, Giorgio Agugiaro, Ken Arroyo Ohori, John Barton, Martina Baucic, Filip Biljecki, Lars Bodum, Pawel Boguslawski, Azedine Boulmakoul, Matteo Caglioni, Caesar Cardenas, Eliseo Clementini, Volker Coors, Youness Dehbi, Abdoulaye Abou Diakité, Adil El Bouziri, Claire Ellul, Tarun Ghawana, Gesquiere Gilles, Didier Grimaldi, Ori Gudes, Stephen Hirtle, Martin Kada, Lamia Karim, Robert Laurini, Christina Mickrenska-Cherneva, Christopher Petit, Alenka Poplin, Ivana Racetin, Dimos Pantazis, Preston Rodrigues, Camilo Leon Sanchez, Genoveva Vargas Solar, Nils Walravens, Parag Wate, Besri Zineb, Sisi Zlatanova. We are also grateful to the work of the local organising committee at HFT Stuttgart, without whom this conference would not have been possible.

National research & education network of meteorological monitoring in V. I. Vernadsky Crimean Federal University

The article describes the experience in organizing work of the meteorological monitoring network across the Republic of Crimea based on the best available technologies. V.I. Vernadsky Crimean Federal University applied approaches of the meteorological monitoring network for scientific and educational purposes. According to the studies, technical requirements, methodological approaches in organizing meteorological measurements and educational and practical base for students training and retraining were formed. The monitoring system allows collecting detailed meteorological data in the ground layer and studying the local formation features of hydrometeorological parameters across various natural climatic zones and landscapes in Crimea. The article also provides methodological requirements and results on creating system for collecting, storing and processing information on a personal server by organizing a thematic geoportal and visualizing data using web gis. According to the research results, we received appropriate patents, created an educational platform and a competence centre for training and re-training staff in subject-matter and related specialties in the Crimea in order to form knowledge, skills and abilities in the field of regional meteorological monitoring.

Automated Collection System Using Tablets and GIS

The possibility of retrieving the information and location from several users. The application has help screens, generate dynamic reports, validate data, Determine the track for collectors and display it on an electronic map. Display the places of traders on the electronic map, collect from the subscriptions and service charges from Chamber of commerce through the Tablet application. The data entry in the field using Tablet and automatically save the coordinates of the store and display the location on a map. The general framework has been developed for the design of the system according to the rules and goals of Chambers of Commerce in Egypt to control the collectors and facilitate the collection process, decrease the errors and follow up the collections on a geographic map. Contributions are automatically calculated by the application. Using this application we can verify if the collector already went to the store or not and control them, also we can print a receipt on the site. The application can display the stores on Google maps. Three applications are built, application for the Tablet, electronic web site and GIS website. The application can be used on line and off line. We can use the online website or off line. It can also produce reports for the stores who paid on time or paid late and determine the collection rates or the collection percentage. The applications are developed using VS2013 and SQL 2008.

Development of a Web GIS for small-scale detection and analysis of COVID-19 (SARS-CoV-2) cases based on volunteered geographic information for the city of Cologne, Germany, in July/August 2020

BackgroundVarious applications have been developed worldwide to contain and to combat the coronavirus disease-19 (COVID-19) pandemic. In this context, spatial information is always of great significance. The aim of this study is to describe the development of a Web GIS based on open source products for the collection and analysis of COVID-19 cases and its feasibility in terms of technical implementation and data protection.MethodsWith the help of this Web GIS, data on this issue were collected voluntarily from the Cologne area. Using house perimeters as a data basis, it was possible to check, in conjunction with the Official Topographic Cartographic Information System object type catalog, whether buildings with certain functions, for example residential building with trade and services, have been visited more frequently by infected persons than other types of buildings. In this context, data protection and ethical and legal issues were considered.ResultsThe results of this study show that the development of a Web GIS for the generation and evaluation of volunteered geographic information (VGI) with the help of open source software is possible. Furthermore, there are numerous data protection and ethical and legal aspects to consider, which not only affect VGI per se but also affect IT security.ConclusionsFrom a data protection perspective, more attention needs to be paid to the intervention and post-processing of data. In addition, official data must always be used as a reference for the actual spatial consideration of the number of infections. However, VGI provides added value at a small-scale level, so that valid information can also be reliably derived in the context of health issues. The creation of guidelines for the consideration of data protection, ethical aspects, and legal requirements in the context of VGI-based applications must also be considered.Trial registration The article does not report the results of a health care intervention for human participants

Map Whiteboard Cloud Solution for Collaborative Editing of Geographic Information

For the purpose of exploiting the potential of cloud connectivity in geographical information systems, the Map Whiteboard technology introduced in this article does for web mapping what Google Docs does for word processing; create a shared user interface where multiple parties collaboratively can develop maps and map data while seeing each other work in realtime. To develop the Map Whiteboard concept, we have applied a methodology whereby we have collected technical and functional requirements through a series of hackathons, implemented a prototype in several stages, and subjected this to rigorous testing in a lab environment and with selected users from relevant environments at intermediate scale. The work has resulted in a fully functional prototype that exploits WebSockets via a cloud service to reflect map and data changes between multiple connected clients. The technology has a demonstrated potential for use in a wide range of web GIS applications, something that is facilitated by the interfaces already implemented towards mainstream mapping frameworks like OpenLayers and QGIS-two of the most popular frameworks for Web GIS solutions. Further development and testing are required before operationalization in mission-critical environments. In conclusion, the Map Whiteboard concept offers a starting point for exploiting cloud connectivity within GIS to facilitate the digitalization of common processes within the government and private sector. The technology is ready for early adopters and welcomes the contribution of interested parties.

Sistem Informasi Geografis Lahan Pertanian Pangan Berkelanjutan Pada Dinas Tanaman Pangan, Hortikultura Dan Peternakan Kabupaten Muara Enim

The Geographic Information System (GIS) for Sustainable Food Agriculture (LP2B) is an information system application that functions to produce accurate, relevant and accountable data and information which will later be used as a basis for planning, stipulating, utilizing, evaluating and controlling the area and land and sustainable food agriculture reserve land that can be accessed by the community and stakeholders. This study uses data collection methods in the form of literature studies, field studies (interviews and observations) and literature studies as a method of approach in data collection. In this study using a system development method using Rapid Application Development (RAD) method, where there are three phases of development, namely the phase of Requirement Planning, Workshop Design and Implementation. In the geographic information system of sustainable agricultural land use web gis based PHP programming using javascript leaflets as the implementation of the projected map of the earth on the geographic information system of sustainable agricultural land. The results of this study can later be used as a reference for the Muara Enim District Government through the Muara Enim Regency Food Crops, Horticulture and Livestock Service Office in making decisions on which paddy fields will be used as Sustainable Food Agriculture Land, and are expected to continue to appeal to and pay attention to farmers LP2B so that paddy fields in Muara Enim Regency can avoid land conversion or reduced paddy fields that will threaten food security. Keywords : Geographic Information System, Muara Enim Regency, Land of Sustainable Food Agriculture.

Automated Landslide-Risk Prediction Using Web GIS and Machine Learning Models.

Spatial susceptible landslide prediction is the one of the most challenging research areas which essentially concerns the safety of inhabitants. The novel geographic information web (GIW) application is proposed for dynamically predicting landslide risk in Chiang Rai, Thailand. The automated GIW system is coordinated between machine learning technologies, web technologies, and application programming interfaces (APIs). The new bidirectional long short-term memory (Bi-LSTM) algorithm is presented to forecast landslides. The proposed algorithm consists of 3 major steps, the first of which is the construction of a landslide dataset by using Quantum GIS (QGIS). The second step is to generate the landslide-risk model based on machine learning approaches. Finally, the automated landslide-risk visualization illustrates the likelihood of landslide via Google Maps on the website. Four static factors are considered for landslide-risk prediction, namely, land cover, soil properties, elevation and slope, and a single dynamic factor i.e., precipitation. Data are collected to construct a geospatial landslide database which comprises three historical landslide locations—Phu Chifa at Thoeng District, Ban Pha Duea at Mae Salong Nai, and Mai Salong Nok in Mae Fa Luang District, Chiang Rai, Thailand. Data collection is achieved using QGIS software to interpolate contour, elevation, slope degree and land cover from the Google satellite images, aerial and site survey photographs while the physiographic and rock type are on-site surveyed by experts. The state-of-the-art machine learning models have been trained i.e., linear regression (LR), artificial neural network (ANN), LSTM, and Bi-LSTM. Ablation studies have been conducted to determine the optimal parameters setting for each model. An enhancement method based on two-stage classifications has been presented to improve the landslide prediction of LSTM and Bi-LSTM models. The landslide-risk prediction performances of these models are subsequently evaluated using real-time dataset and it is shown that Bi-LSTM with Random Forest (Bi-LSTM-RF) yields the best prediction performance. Bi-LSTM-RF model has improved the landslide-risk predicting performance over LR, ANNs, LSTM, and Bi-LSTM in terms of the area under the receiver characteristic operator (AUC) scores by 0.42, 0.27, 0.46, and 0.47, respectively. Finally, an automated web GIS has been developed and it consists of software components including the trained models, rainfall API, Google API, and geodatabase. All components have been interfaced together via JavaScript and Node.js tool.

Peculiarities of the environmental light pollution in Chernivtsi Region

Introduction. Every year industrial development and economic growth make light pollution worsen on a global scale. It is a well-known fact that artificial outdoor lighting causes destruction of wildlife habitat, impacts circadian rhythms of all living beings, disrupts animal behavior and leads to medical disorders of humans. Over the last decade scientists switched their focus from artificial sky glow over large cities to light pollution of rural landscapes, protected areas and roadways. 
 The purpose of this paper consists in assessing night-time light emissions over Chernivtsi Region as well as over city of Chernivtsi using satellite measurements.
 Methods. Measurements of night-time light emissions were obtained with the help of GIS web application Radiance Light Trends and the light trends analysis tool. The application allows examination of changes in light pollution across selected areas since 1992 and performs time-series analysis with fitting an exponential curve into the data set.
 Results. The trend in light emissions observed by satellites for Chernivtsi Region indicated brightening at the rate of 2.45 % per year from 1992 to 2014, and 2.93 % per year from 2014 to 2021. The marked increase in the intensity of atmospheric light pollution over Chernivtsi Region is largely attributable to urban expansion of district centers, national & international routes and resort complexes. At the same time, the spatial pattern of the light environment over city of Chernivtsi indicated a nearly constant level of aggregate annual light radiance for the last 8 years. A large irregularly shaped "light spot" was detected on the territory of the Prut-Siret interfluve. It crosses the region from the northwest to the southeast and covers the regional center with its suburbs and the national highway H-10. The night light radiance constitutes 47.49∙10-9 mW/cm2 sr in the center of the spot and more than 1∙10-9 mW/cm2 sr at its edges. The highest level of light pollution in Chernivtsi Region was registered in January, and the lowest – in March. Night-time light emission over two most illuminated highways remains relatively constant regardless of the season.
 Conclusion. The study highlights that despite low population and low economic activity, rural landscapes demonstrate a trend towards increasing brightness of the night sky. The findings provide a quantitative reference for light pollution management in the region and for further research in the area.

GIS-Based Emergency Fire Response for Minimization of Fire Outbreaks in the Greater Accra Metropolis, Ghana

The study report assessed the geographic distribution of existing fire stations in the Accra Metropolitan Area (AMA). It further sought to evaluate the spatial coverage for each fire station under predefined sustainable response times. Information on fire stations and incidents, access to sources of water and settlements were purposively obtained and visualized in Arc Map 10.6 with the multiple buffer tools. GIS web application was developed to integrate reporters and fire stations within the AMA for an efficient and effective response to emergency cases related to fire outbreaks. Results suggest that GIS application is essential to fire management as it significantly improved response time to 15 minutes, reducing causalities as well as damaged properties if the strategy is adopted. Results proved a response time of 15 minutes is feasible in the study area if the proposed strategy is adopted. The study presents this management system as one that could be easily be deployed to other stations across the country. The platform provides details on the location, the magnitude of the fire incident among other relevant details. This study would regulate and minimize risks associated with fire outbreaks which are often accompanied by both direct and indirect consequences and could facilitate early reporting using mobile collection devices.

IoT Based Air Quality Monitoring System

A remote online carbon dioxide (CO2) concentration monitoring system is developed, based on the technologies of wireless sensor networks, in allusion to the gas leakage monitoring requirement for CO2 capture and storage. The remote online CO2 monitoring system consists of monitoring equipment, a data center server, and the clients. The monitoring equipment is composed of a central processing unit (CPU), air environment sensors array, global positioning system (GPS) receiver module, secure digital memory card (SD) storage module, liquid crystal display (LCD) module, and general packet radio service (GPRS) wireless transmission module. The sensors array of CO2, temperature, humidity, and light intensity are used to collect data and the GPS receiver module is adopted to collect location and time information. The CPU automatically stores the collected data in the server and displays them on the LCD display module in real-time. Afterwards, the GPRS module continuously wirelessly transmits the collected information to the data center server. The online monitoring Web GIS clients are developed using a PHP programming language, which runs on the Apache web server. MySQL is utilized as the database because of its speed and reliability, and the stunning cross browser web maps are created, optimized, and deployed with the Open Layers JavaScript web-mapping library.

Ways to improve interactivity of Internet GIS

The essential feature of Internet GIS is the interactivity between the users and the spatial data. Interactive GIS can offer interactive maps rather than static map images on the Web. Users can work with the maps interactively by performing conventionalGIS functions such as zoom, pan, search, etc. However, the interactivity of many InternetGIS is quite limited so far. In this paper, we propose to use AJAX to improve the interactivity of Internet GIS. AJAX design patterns that can be used to this aim are described in the paper. We present the architecture of the Internet GIS with AJAX-based user interface and integration with GIS web services.

Archaeological Digital Archiving in Heritage Management in Slovakia

The Monuments Board of the Slovak Republic (MB SR) and the Regional Monuments Boards have been the state administrators of the cultural heritage, including archaeology, since 2002. This article aims to map the current state of archaeological digital archives within MB SR and eight Regional Monuments Boards, as well as present the usage and management of digital datasets within ongoing projects. The central archive of the MB SR maintains historical plans and cultural heritage documentation, created since the 1920s and continuously digitised (the collections of negatives, diapositives, projects, plans, schematic maps, and fieldwork documentation). Since 2012, MB SR has taken part in the Digital Monuments Fund project. Within this project, 2D and 3D documentation of a great number of cultural monuments has been created. In 2019 the implementation phase of the Monuments information system (PAMIS) project started. Its basic modules are the presentation layer, the knowledge agenda and state administration. There are several features in preparation within these modules, such as: updating; collection, consolidation and GIS processing of archaeological site data that belong to the monuments fund, including data from aerial laser scanning; the archaeological excavation registry and the archive of fieldwork reports; the registry of finds in the administration of MB SR; the electronic processing of the state administration activity within the protection of the archaeological cultural heritage. The PAMIS project will provide processed data and make them accessible to the state and public administration, owners of monuments, as well as to professionals and the general public, using online solutions (web GIS) with various approaches according to defined user roles.

AUTOMATING SELECTION OF GENERAL GEOGRAPHIC FEATURES FOR MULTI-SCALE MAPING

The features and problems of creating multi-scale maps are considered, common examples of which are cartographic web services and GIS projects, where the content and display of objects varies depending on the scale. The main disadvantage of multi-scale maps is the inconsistent and incorrect selection of objects, which is especially evident on maps of medium and small scales. To ensure the correct display of general geographic elements at different scale levels, the automated selection technology is proposed, based on the calculation of quantitative indicators, the formation of selection tables and the accounting of interrelated objects in the interactive mode. To implement the proposed selection methods in the MapInfo GIS, software modules have been developed. The proposed technology will allow you to create a general geographic basis for a multi-scale map at any required scale. At the same time, a reasonable and consistent selection of objects is provided.

Geographic Response Strategies on Canada's West Coast

Abstract In 2012, Western Canada Marine Response Corporation (WCMRC) began developing site specific shoreline protection strategies, known at Geographic Response Strategies (GRS) for the entire coast of British Columbia (B.C.). The project started in Vancouver Harbour and has since spread along the Salish Sea and Strait of Juan de Fuca, as well as into Prince Rupert and Kitimat on the northern B.C. coast. Recognizing that B.C. has approximately 27,000 km of coastline (~16,777 miles) and with 450 strategies already developed only within a few hundred kilometres, WCMRC saw a need to automate the GRS development process from data collection all the way to the final GRS output. In conjunction with a local environmental consulting company, WCMRC developed a new sensitivity model. This new model can help the Response Readiness Team quickly assess intertidal sensitivity to oiling based on shoreline type, oil residency index, biological, archaeological, and/or socio-economic features of the shoreline, as well as operational protection feasibility. Now, using ESRI GIS web tools, a GRS can be developed automatically as a geo-referenced PDF, easily exportable to mobile devices for operational use. Overall, the automated enhancements have provided WCMRC with the tools necessary to manage the GRS program for B.C.'s entire coast. This means that more coastline can be assessed far more quickly and GRS's can be developed using fewer human resources. Additionally, if a spill occurs in a more remote area that has not yet had GRS's developed, they can be created within minutes based on the information from the Environment Unit in the Incident Command Post, or initial assessments by responders.

Modul Front-End Sistem Informasi Geospasial Patroli Terpadu Kebakaran Hutan dan Lahan

To prevent and handle forest and land and forest fire (karhutla), the Ministry of Environment and Forestry assembled a patrol team that conducts a daily task to observe directly to the hotspot location as an indication for land fire. Currently, the patrol team reported the investigation result into a group chat. This method consumed many storage spaces and not suitable for formal reporting. This study aims to develop a front-end module for a web GIS application that visualizes the patrol team's daily report. The application has its data recapitulation method and able to create a formal report. The data used in this study are a set of the report that collected in 2016 by Sumatera and Kalimantan patrol team. The steps to build this application include communication, integrate with the API from the back-end system, developing functional needs, software testing, and the last is software release. The application was build using HTML and CSS for its interface and Javascript and API from the back-end module for its content management. The system uses Google Maps services and library to support the functionalities of the application. The unit testing method's test result shows that the module runs well and can afford all of the required functionality. In addition, the system testing result that the ratio between actual error and expected error is equal to 1. This result indicates the functions of the system are working properly according to the use cases of the system.

Air Quality Monitoring Using Internet of Things

A remote online carbon dioxide (CO2) concentration monitoring system is developed, based on the technologies of wireless sensor networks, in allusion to the gas leakage monitoring requirement for CO2 capture and storage. The remote online CO2 monitoring system consists of monitoring equipment, a data center server, and the clients. The monitoring equipment is composed of a central processing unit (CPU), air environment sensors array, global positioning system (GPS) receiver module, secure digital memory card (SD) storage module, liquid crystal display (LCD) module, and general packet radio service (GPRS) wireless transmission module. The sensors array of CO2, temperature, humidity, and light intensity are used to collect data and the GPS receiver module is adopted to collect location and time information. The CPU automatically stores the collected data in the server and displays them on the LCD display module in real-time. Afterwards, the GPRS module continuously wirelessly transmits the collected information to the data center server. The online monitoring Web GIS clients are developed using a PHP programming language, which runs on the Apache web server. MySQL is utilized as the database because of its speed and reliability, and the stunning cross browser web maps are created, optimized, and deployed with the Open Layers JavaScript webmapping library.

WEB-BASED GIS FOR MAPPING FIRE REGIMES OF PECHORO-ILYCH RESERVE AND ITS ENVIRONS

The article is devoted to the description of the web-GIS for mapping fire regimes in the Pechora-Ilych reserve and its environs. The main purpose of the resource is to provide the results of mapping fire regimes in the designated area to a wide range of researchers in an accessible form. Web-GIS allows organizing and storing the received thematic spatial data. The resource performs research and educational functions. The structure of the web-GIS includes the following sections: the study area, fire frequency indicators, fire regimes, fire regime condition class, and fire cycles. The web GIS was created using the ArcGIS StoryMaps tool on the ArcGIS Online platform. All sections use data from the ArcGIS Living Atlas of the World. Web-GIS allows receiving reference information about the indicators of fire frequency, fire cycles and regimes, as well as their deviations within the boundaries of the Pechora-Ilych nature reserve, district forestries, and spatial units. In particular, the results of a retrospective statistical analysis of forest fire indicators within spatial units (fire frequency, mean fire interval, etc.) are available for users.

The scribe book of the Tver half of the Bezhetskaya Pyatina in 1545: publication of the source in the web gis environment

The article discusses the experience of online publication of the scribe book of the Tver half of the Bezhetskaya Pyatina of the Novgorod land in 1545 on the NextGIS Web platform. The scribe's Book of 1545 is the most complete source describing the territory of the Tver half of the Bezhetskaya Pyatina of the XVI century. The book reflects the composition of landowners not only of the XVI century, but also of the period of independence of Veliky Novgorod. The paper describes methods of working with the geographical information of the book, creating geodata based on it and ways of presenting them in a web format. Attention is paid to various technical solutions, their strengths and weaknesses are considered. В The novelty of the research lies in a new look at the auxiliary element of the NextGIS Web web map, which is the Description displayed on the functional panel of its interface. The proposed approach turns the interactive geographical pointer accompanying the map into a platform for full-text publication of the source, in which the map performs the function of a container, always ready to display exactly the spatial context in which the geographical object selected by the user exists from the text of the historical source of the source. The main conclusion of the work is the conclusion that the proposed method allows you to combine the transmission of the main elements of the paper publication of the source with the advantages of a modern digital format, expanded due to the cartographic component.