Hasil untuk "Cadastral mapping"

Ye. Butenko, A. Volontyr, O. Kutsenko

У статті розглядається вплив алгоритмів нейромереж штучного інтелекту на процес фотограмметричного опрацювання цифрових знімків та формування щільних хмар точок. Зазначено, що інтеграція алгоритмів машинного навчання, зокрема глибокого навчання, дозволяє автоматизувати ключові етапи опрацювання, підвищити точність класифікації об’єктів, оптимізувати геометричну корекцію зображень та покращити якість кінцевих геопросторових продуктів у вигляді ортофотоплана місцевості. Описано основні етапи фотограмметричного процесу: від збору первинних даних до формування ортофотопланів та тривимірних моделей місцевості. Особлива увага приділяється ролі нейромережі у покращенні щільності хмари точок за рахунок правильної інтерпретації точок на цифрових знімках, класифікації об’єктів та зменшенні впливу людського фактора. Визначено виклики, пов’язані з потребою у великих обсягах якісних навчальних даних. Обґрунтовано перспективність застосування нейромереж штучного інтелекту у фотограмметрії та необхідність подальших досліджень у цьому напрямку. Ключові слова: нейромережа, штучний інтелект, фотограмметрія, машинне навчання, хмара точок, ортофотоплан, 3D-модель, цифровий знімок.

Seto Apriyadi, Irwan Meilano, Andri Hernandi et al.

Responding to cost inefficiency in the Indonesian cadastral mapping system, this study aimed to analyze the implementation of integrated mapping activities, namely complete systematic land registration, assessing land value zones, and regional land stewardship balance. This study employed an operational management system, particularly focusing on financial aspects, using data envelopment analysis (DEA), a non-parametric technique for evaluating the relative efficiency of decision-making units. These approaches are rarely explored in cadastral mapping. DEA was used to analyze the efficiency of seven aspects: aerial mapping, office supplies, meetings, consumption, transportation, capital expenses, and socialization. Content analysis was used to identify integration parameters derived from operational management-based integration. Cronbach’s alpha was used for the reliability test. The Way Sulan sub-district of South Lampung Regency in Lampung Province, Indonesia, was selected as the study area due to its complete mapping activities. The findings suggested that applying operational management for integrated cadastral mapping is effective. However, contrary to expectations, efficiency was lower in dense urban areas, where costs tend to be cheaper, while efficiency was higher in agricultural areas, where expenses were much greater. Based on this study, an operational management approach to integrated cadastral mapping is recommended to improve budget efficiency and general standards of land management, especially in areas with complex land use.

Giorgio Basile

The STAC is a recent geospatial standard that allows to describe and catalog geospatial assets. It is part of a broader innovation effort called Cloud-Native Geospatial, providing modern standards and tools to efficiently access raster and vector data in the cloud.

C. Oluwadare, Mary Salami

This paper advances the existing body of knowledge on the suitability of accuracy derivable from the use of smartphones for cadastral mapping. Zenvus App software was installed on two smartphones of a different make. A set of dual-frequency GPS Promark 3 receivers and two different smartphones of different make were used for data acquisition. Observations were carried out at the boundaries of ten parcels of land, comprising 46 boundary points. Coordinates of these points were obtained using Differential Global Positioning System (DGPS) observation in static mode and two android smartphones (Samsung A70 and Tecno Spark 3 Pro).  Mean score, root means square error, and one-way analysis of variance was used to show significant differences in the equipment used.  Overall, both the accuracy (mean) and precision (RMSE) were lower than those obtained by Differential GPS. A one-way analysis of variance (ANOVA) was calculated on the values of both X and Y.  For X, the analysis was not significant, F (1, 45)= 0.88, p= 0.419 and for Y, the analysis was also not significant, F(1,45) =0.97, p=0.383. The total RMSE shows that coordinates of points as obtained by the Samsung smartphone (3.368) was more precise than Tecno (4.041). However, the two smartphones (Tecno and Samsung) were less accurate than differential GPS. This implies that there is a 95% chance that the errors in the estimates are less than 6.993m (for Tecno) and 5.848m (for Samsung) respectively. The variation in the observations obtainable with smartphones affects both linear and polygon estimates. The study concluded that the magnitude of these errors is significant in cadastral survey practices and hence not suitable for use. It is recommended that further studies be carried out on the use of the Zenvus app on centimeter grade smartphones probably this could yield a better result suitable for cadastral mapping.

A. Vypritskiy

In this paper, an analysis of the preservation of watershed state protective forest strips (GZLP) on the territory of the Volgograd region was carried out. Three protective strips were analyzed: “Kamensk–Penza”, “Kamyshin–Volgograd”, “Volgograd–Cherkessk”. The data of remote sensing of the earth (remote sensing) from the Sentinel-2 satellite with a spatial resolution of 10 meters were used and the data obtained were compared with alternative open access sources on the state of the forest coverage of the territory: GlobalLandCover30 (GLC30), ESRI, Global Forest Change (GFC). Mapping of the research object was carried out in the geographic information system QGIS, the reason for the choice is the free usage and the availability of versatile modules for working with remote sensing data of the Earth. With the help of Sentinel-2 A-B RGB images and a public cadastral map, mapping of the project area of state protective forest strips was carried out, after which the forest canopy was classified using the normalized vegetation index NDVI for August-September. The areas of forest strips located on various soil-forming rocks are calculated on the basis of the soil map of the Volgograd region in 1984 M 1:400,000. The studied GZLP occupy an area of 13,094.1 hectares of 9 forest areas of the Volgograd region. The safety of the GZLP was determined as follows: the ratio of the area actually occupied by forest plantations to the projected area of the forest strip based on the classification of NDVI index images and information products of the types of land cover and projective forest cover. Data on the safety of state protective forest strips in the Volgograd region have also been prepared on the basis of official statistics. A comparison of four open access data sources on the coverage of state forest strips with forest plantations was carried out. The results obtained will serve as a basis for further assessment of the causes of the degradation of GZLP, including field studies on areas without forest cover identified using the above methods.

Alexandra Petrulevich

The article presents the results of a pilot investigation into the seventeenth-century name policies associated with large-scale cadastral mapping of the Swedish conglomerate state and their implementation in Mecklenburg-Vorpommern. The material studied consists of the Land Survey’s directives issued by the Swedish Crown between 1628 and 1700, as well as 759 place name attestations excerpted from the B I volume of cadastral maps of the Wolgast District from 1694. The article reveals how both practical and symbolic aspects of political discourses are evident in the regulations of place name collection and processing. Particular attention is paid to the Swedification discourse analysed by the tools native to Foucaultian discourse analysis and proximisation theory. The Wolgast material shows that the Swedish land surveyors did not comply with the instructions to Swedify or translate Pomeranian names. The tentative explanation offered builds on the idea of linguistic and cultural proximity between the German-speaking region and the Swedish land surveyors.

B. Binoy, M. Naseer, P. P. Anil Kumar

PurposeProperty tax continues to be the most viable, steady, progressive and genuine source of income for an independent local government administration in India. Kerala has one of the most complex cadastral and property taxation systems in the country. In 2008, the Kerala government introduced “Fair value of land” for all landed property in Kerala, which is calculated per Are and notified by the Government of Kerala on the website. This paper presents the outcome of the spatial mapping of the fair value of land in Kerala and its comparison with actual land value collected through advertisements and surveys.Design/methodology/approachThe methodology used in this study analyzed the existing fair value system of land valuation in Kerala and identified its drawbacks. Fair value is integrated into cadastral data in geographical information system (GIS) and spatially analyzed to identify the discrepancies in fair value fixation. The actual land value for 837 locations is collected from online advertisements and verified through a field survey. A paired t-test analysis follows this to compare the fair value and actual land value of the study area.FindingsThe disparity between the original land value and the registration value in Kerala has resulted in the undervaluation of land resources by the government. The fair value fixed by the government is significantly lower than the actual land value based on the statistical comparison results. It is observed that the actual land value is multiple times higher than the government fixed land value. Also, the spatial distribution of the village level fair value shows the randomness in fixation and abnormalities existing at numerous locations.Practical implicationsThe results indicate that the traditional comparison method used for fair value calculation by the Kerala government is not suitable in Indian scenarios due to the unreliability of registration values. The study thus points to the importance of developing a scientific method for determining the land value that would consider various spatially influencing parameters.Originality/valueThe current study provided an in-depth analysis of the land valuation system of the Kerala government. The strengths and weaknesses of the existing system are analyzed through statistical methods.

Susumu Hirose, Genki Omori

The balanced superelliptic mapping class group is the normalizer of the transformation group of the balanced superelliptic covering space in the mapping class group of the total surface. We give finite presentations for the balanced superelliptic mapping class groups of closed surfaces, surfaces with one marked point, and surfaces with one boundary component. To give these presentations, we construct finite presentations for corresponding liftable mapping class groups in a different generating set from Ghaswala-Winarski's presentation in \cite{Ghaswala-Winarski1}.

Peter Kyseľ

The cadastral map collection contains maps of different origin and quality, and the less-quality maps are prevailing. Its effective renewal is needed. To meet this goal, it would be maybe necessary to use measurements from other sources besides the special measurements for the new mapping. The paper deals with the testing of exploitability of a photogrammetric measurement of cultural heritage for the cadastre. In the paper, the coordinates of building corners were determined using photogrammetry and compared to the existing numerical cadastral map. The precision and exploitability of the measurement for the cadastre was assessed based on these results. This and similar measurements could be suitable supplement for the measurements and could make the process of mapping more effective.

Toshboeva Robiya Sobirovna

The article reveals the content of the Cadastre-2014 project prepared by the International Federation of Geodesists (FIG) and analyzes the results of the implementation of its main directions in Uzbekistan. The author analyzes the purpose and content of the cadastre, the organization of cadastral systems, as well as the possibilities of privatization of existing domestic cadastral systems. In the course of the analysis, the results of the development of the domestic natural resource cadastral system within the framework of the ratio of public and private law, the influence of political decisions on the formation and application of cadastral information on natural resources, the possibility of using modeling instead of mapping, the transfer of the right to form primary cadastral information to private entities against the background of strengthening cadastral supervision by the competent state body are considered.

V. Henrique, Marlene Salete Uberti

PurposeThe cadaster goes through its fifth wave of updating, seeking agility and efficiency in cadastral registration. However, despite recent advances in remote sensors and the low cost of remotely piloted aircraft systems (RPAS), on-site visits are still used to complete the cadastral form. Thus, this work aims to employ techniques and methodologies for remote characterization of buildings for cadastral updating purposes, reducing the need to enter the parcels.Design/methodology/approachThe research tools used were: RPAS and MMS (mobile mapping systems), making a three-dimensional model with RPAS data, and analyzing the results from these platforms. With the 3D model, it was possible to extract measurements and characteristics.FindingsThe analysis of the 3D model with the aerial photographs obtained better results in the characterization of the buildings and is the most indicated according to the study. There were difficulties in identifying some features, such as windows frames, and it was proposed to analyze the photographs without processing, to mitigate these identifications. The cadaster form was successfully completed using a combination of the techniques in this study.Originality/valueThis study brings a first proposal for the characterization of parcels for cadastral purposes, by remote sensing techniques, reducing the entry in the parcels for filling cadastral forms, with the evaluation of the proposal in the Brazilian case.

Slim Namouchi, I. Farah

Recently, remotely sensed data obtained via laser technology has gained great importance due to its wide use in several fields, especially in 3D urban modeling. In fact, 3D city models in urban environments are efficiently employed in many fields, such as military operations, emergency management, building and height mapping, cadastral data upgrading, monitoring of changes as well as virtual reality. These applications are essentially composed of models of structures, urban elements, ground surface and vegetation. This paper presents a workflow for modeling the structure of buildings by using laser-scanned data (LiDAR) and multi-spectral images in order to develop a 3D web service for a smart city concept. Optical vertical photography is generally utilized to extract building class, while LiDAR data is used as a source of information to create the structure of the 3D building. The building reconstruction process presented in this study can be divided into four main stages: building LiDAR points extraction, piecewise horizontal roof clustering, boundaries extraction and 3D geometric modeling. Finally, an architecture for a 3D smart service based on the CityGML interchange format is proposed.

Zhen Shu, Xiangyun Hu, Hengming Dai

Accurate building extraction from remotely sensed images is essential for topographic mapping, cadastral surveying and many other applications. Fully automatic segmentation methods still remain a great challenge due to the poor generalization ability and the inaccurate segmentation results. In this work, we are committed to robust click-based interactive building extraction in remote sensing imagery. We argue that stability is vital to an interactive segmentation system, and we observe that the distance of the newly added click to the boundaries of the previous segmentation mask contains progress guidance information of the interactive segmentation process. To promote the robustness of the interactive segmentation, we exploit this information with the previous segmentation mask, positive and negative clicks to form a progress guidance map, and feed it to a convolutional neural network (CNN) with the original RGB image, we name the network as PGR-Net. In addition, an adaptive zoom-in strategy and an iterative training scheme are proposed to further promote the stability of PGR-Net. Compared with the latest methods FCA and f-BRS, the proposed PGR-Net basically requires 1–2 fewer clicks to achieve the same segmentation results. Comprehensive experiments have demonstrated that the PGR-Net outperforms related state-of-the-art methods on five natural image datasets and three building datasets of remote sensing images.

Zhuming Zhang, Menghan Xia, Xueting Liu et al.

Although digital cameras can acquire high-dynamic range (HDR) images, the captured HDR information are mostly quantized to low-dynamic range (LDR) images for display compatibility and compact storage. In this paper, we propose an invertible tone mapping method that converts the multi-exposure HDR to a true LDR (8-bit per color channel) and reserves the capability to accurately restore the original HDR from this {\em invertible LDR}. Our invertible LDR can mimic the appearance of a user-selected tone mapping style. It can be shared over any existing social network platforms that may re-encode or format-convert the uploaded images, without much hurting the accuracy of the restored HDR counterpart. To achieve this, we regard the tone mapping and the restoration as coupled processes, and formulate them as an encoding-and-decoding problem through convolutional neural networks. Particularly, our model supports pluggable style modulators, each of which bakes a specific tone mapping style, and thus favors the application flexibility. Our method is evaluated with a rich variety of HDR images and multiple tone mapping operators, which shows the superiority over relevant state-of-the-art methods. Also, we conduct ablation study to justify our design and discuss the robustness and generality toward real applications.

Patrick C. Breysse, Simon Foreman, Laura C. Keating et al.

Hydrogen deuteride (HD) is prevalent in a wide variety of astrophysical environments, and measuring its large-scale distribution at different epochs can in principle provide information about the properties of these environments. In this paper, we explore the prospects for accessing this distribution using line intensity mapping of emission from the lowest rotational transition in HD, focusing on observations of the epoch of reionization ($z\sim6-10$) and earlier. We find the signal from the epoch of reionization to be strongest most promising, through cross-correlations within existing [CII] intensity mapping surveys. While the signal we predict is out of reach for current-generation projects, planned future improvements should be able to detect reionization-era HD without any additional observations, and would help to constrain the properties of the star-forming galaxies thought to play a key role in reionization. We also investigate several avenues for measuring HD during "cosmic dawn" ($z\sim10-30$), a period in which HD could provide one of the only complementary observables to 21$\,$cm intensity maps. We conclude that existing and planned facilities are poorly matched to the specifications desirable for a significant detection, though such a measurement may be achievable with sustained future effort. Finally, we explain why HD intensity mapping of the intergalactic medium during the cosmic dark ages ($z\gtrsim 30$) appears to be out of reach of any conceivable experiment.

William H. B. Smith, Michael Milford, Klaus D. McDonald-Maier et al.

Visual navigation localizes a query place image against a reference database of place images, also known as a `visual map'. Localization accuracy requirements for specific areas of the visual map, `scene classes', vary according to the context of the environment and task. State-of-the-art visual mapping is unable to reflect these requirements by explicitly targetting scene classes for inclusion in the map. Four different scene classes, including pedestrian crossings and stations, are identified in each of the Nordland and St. Lucia datasets. Instead of re-training separate scene classifiers which struggle with these overlapping scene classes we make our first contribution: defining the problem of `scene retrieval'. Scene retrieval extends image retrieval to classification of scenes defined at test time by associating a single query image to reference images of scene classes. Our second contribution is a triplet-trained convolutional neural network (CNN) to address this problem which increases scene classification accuracy by up to 7% against state-of-the-art networks pre-trained for scene recognition. The second contribution is an algorithm `DMC' that combines our scene classification with distance and memorability for visual mapping. Our analysis shows that DMC includes 64% more images of our chosen scene classes in a visual map than just using distance interval mapping. State-of-the-art visual place descriptors AMOS-Net, Hybrid-Net and NetVLAD are finally used to show that DMC improves scene class localization accuracy by a mean of 3% and localization accuracy of the remaining map images by a mean of 10% across both datasets.

T. Aditya, Dany Laksono, F. Susanta et al.

Major cities and urban areas are beginning to develop and use 3D properties and public facilities. Consequently, 3D cadastral surveys are increasingly being employed for strata unit ownership registration as a part of land administration services. At present, most national land information systems do not support 2D and 3D cadastral visualizations. A field survey or validation survey is required to determine the geometry of 3D spatial units for property registration. However, the results of 3D surveys and mapping are not stored in the land information system. This work aims to integrate 2D and 3D geospatial data of property units collected from cadastral surveys with their corresponding legal data. It reviews the workflow for the use of 3D survey data for first-titling of 3D properties in Indonesia. A scenario of use and a prototype were developed based on existing practices and the possibility of extending Indonesia’s Land Administration Domain Model (LADM) to represent 3D units. Data submitted to the prototype as 3D geometries was survey data from 3D cadastral surveys or validation surveys utilizing terrestrial survey methods. The prototype used PostGIS and Cesium Ion to store 3D geometries of data from six 3D surveys. Registrars in local land offices could use the prototype to undertake strata unit registration that establishes a relationship among geospatial features and their survey documents and legal documents. Cesium JS was used as a 3D browser, customized as a web application, to manage and visualize 3D survey data to support strata title registration. The results demonstrate that the first titling of 3D cadaster objects could be conducted and properly visualized in Indonesia by extending the existing LADM with more support for 3D spatial representations and survey documents.

D. Kaim, Marcin Szwagrzyk, M. Dobosz et al.

Abstract. We produced a reconstruction of mid-19th-century building structure locations in former Galicia and Austrian Silesia (parts of the Habsburg Monarchy), which are located in present-day Czechia, Poland, and Ukraine and cover more than 80 000 km2. Our reconstruction was based on a homogeneous series of detailed Second Military Survey maps (1:28 800) that were the result of a cadastral mapping (1:2880) generalization. The dataset consists of two types of building structures based on the original map legend – residential and outbuildings (mainly farm-related buildings). The dataset's accuracy was assessed quantitatively and qualitatively by using independent data sources and may serve as an important input in studying long-term socioeconomic processes and human–environmental interactions or as a valuable reference for continental settlement reconstructions. The dataset is available at https://doi.org/10.17632/md8jp9ny9z.2 (Kaim et al., 2020a).

Gianluca Pititto

The new phase of the international fight against the COVID-19 pandemic will require a period of coexistence with the virus and a careful contrast to the development of new outbreak. Thanks to advanced mobile technologies and their diffusion it is possible to think about the use of apps aimed at identifying and suppressing contagion chains before their own explosion, through the methodology of contact-tracing based on bluetooth technology. However, implementing that approch requires the solution of significant problems of a technical nature, but also of a legal nature, often different from country to country. The solution of the COVID-19 global problem would therefore require deep coordination between different nations, which will be the problem more difficult to solve.

Gabriela Molina León, Michael Lischka, Andreas Breiter

Choropleth maps are among the most common visualization techniques used to present geographical data. These maps require an equal-area projection but there are no clear criteria for selecting one. We collaborated with 20 social scientists researching on the Global South, interested in using choropleth maps, to investigate their design choices according to their research tasks. We asked them to design world choropleth maps through a survey, and analyzed their answers both qualitatively and quantitatively. The results suggest that the design choices of map projection, center, scale, and color scheme, were influenced by their personal research goals and the tasks. The projection was considered the most important choice and the Equal Earth projection was the most common projection used. Our study takes the first substantial step in investigating projection choices for world choropleth maps in applied visualization research.