Hasil untuk "Cartography"

B. Korf, U. Wardenga, J. Verne et al.

Olamide Olowoyo, Olanike Deji, Waheed Sulaimon et al.

Context and background The intensive use of land is regarded as the major source of agricultural growth in many developing nations, even though this intensive usage has been seen as one of the most substantial human impacts on the global environment. However, the intensification of agricultural land use has led to many environmental and social challenges. This study used a descriptive-correlational mixed method research design to investigate the gender variation in the intensity of land use intensity (LUI) and degradation among arable crop farmers in southwest, Nigeria. Goal and Objectives: This study was conducted  with a view to determining the level of land use intensity and degradation among male and female arable crop farmers.. Methodology: A multistage sampling technique was used to select 336 respondents for the study, a total of 168 male and 168 female farmers were selected from two states: Ekiti and Oyo. A well-validated structured interview schedule and Focus Group Discussion (FGD) guide were used to elicit information from the respondents. Results: The results show that Fallow Rotation Intensity (FRI) was found to be higher among female ACFs compared to male farmers, but the cropping intensity (CI) was higher among male farmers compared to female farmers. Land use intensity among male farmers was higher than that of female farmers. The study also shows evidence of the increasing intensity of land usage, characterized by increased cropping intensity and increased frequency of farmland cultivation among male and female arable crop farmers. Land use intensity and degradation intensity were significantly different among female and male ACFs. This study recommends policy formulation and implementation on land usage that will make male and female ACFs feel emotionally attached to the land they cultivate.

F. Dickmann, Julian Keil, Paula L. Dickmann et al.

Augmented reality (AR) is playing an increasingly important role in a variety of everyday application scenarios. Users are not completely disconnected from the current sensory influences of reality. They are merely confronted with additional virtual objects that are projected into reality. This allows users to obtain additional spatial information, which makes this technology interesting for cartographic applications (e.g. navigation). The dynamic positioning of the superimposed image in the scene being viewed is crucial for the generation of AR elements displayed correctly in terms of perspective. Understanding these technical basics is an important prerequisite for the cartographic use of augmented reality. The different techniques influence the visualization and the perception of AR elements in 3D space. This article highlights important visualization properties of current augmented reality techniques.

Inna NESTERCHUK, Anna OSIPCHUK, Eduard BONDARENKO et al.

Based on the study of spatial forms of tourism organization, their structure and patterns of formation to prove that the most optimal form is a cluster model of organization. Also to describe the features, structure, composition and life cycle of potential tourist clusters of the object of study. In the process of substantiating the development of a cluster model on the Right-Bank Polissia of Ukraine the authors used a combination of general and special methods of scientific research (modeling, information, cluster analysis, geoinformation mapping). It is proved that the creation of regional clusters of gastronomic tourism development of the Right-Bank Polissia of Ukraine will lead to the strengthening of competitive advantages of its participants. The proposed cluster model has been visualized cartographically, also its administrative and functional structure has been developed. Substantiated clusters of gastronomic tourism of the region will become the basis for further scientific research aimed at dividing the territory of the Right-Bank Polissia of Ukraine on the basis of the operational units allocation for gastronomic and tourist zoning.

Oswaldo Ari Abib

Slavomír Labant, Marcela Bindzárová Gergel’ová, Štefan Rákay et al.

The content of this paper is dedicated to the analysis of the flat planarity of forklift stacker’s track and cross sections of lanes between racks in a warehouse. These results will serve as a basis for a possible reconstruction of the track and racks and shall contribute to the overall reduction of costs related to an unexpected bad technical condition. The contribution aims to assess the geometric parameters of warehouse racks at the selected company operation in terms of their suitability for further use. The choice of the selected topic represents a relevant issue, which can be possibly encountered in daily practice related to the storage and transport processes of products. The measurements and processing of longitudinal profiles and cross-sections were made in the local coordinate and local vertical system. Points on the lower, middle and upper level of racks were measured for good and correct interpretation of results. Testing the measured positional change of poles is on the end of this paper. The immediate readiness of interest groups of subjects for adopting necessary actions to ensure the stability and safe operation of the whole network of lanes of the warehouse spaces is the expected contribution of the presented results.

Adriana Marcinkowska-Ochtyra, Bogdan Zagajewski, Edwin Raczko et al.

Mapping plant communities is a difficult and time consuming endeavor. Methods relying on field surveys deliver high quality data but are usually limited to relatively small areas. In this paper we apply airborne hyperspectral data to vegetation mapping in remote and hard to reach areas. We classified 22 vegetation communities in the Giant Mountains on 3.12-m Airborne Prism Experiment (APEX) hyperspectral images, registered in 288 spectral bands (10 September 2012). As the classification algorithm, Support Vector Machines (SVM) was used. APEX data were corrected geometrically and atmospherically, and three dimensionality reduction methods were performed to select the best dataset. As reference we used a non-forest vegetation map containing vegetation communities of Polish Karkonosze National Park from 2002, orthophotomap and field surveys data from 2013 to 2014. We obtained the post-classification maps of 22 vegetation communities, lakes and areas without any vegetation. Iterative accuracy assessment repeated 100 times was used to obtain the most objective results for individual communities. The median value of overall accuracy (OA) was 84%. Fourteen out of twenty-four classes were classified of more than 80% of producer accuracy (PA) and sixteen out of twenty-four of user accuracy (UA). APEX data and SVM with the use of iterative accuracy assessment are useful for the mountain communities classification. This can support both Polish and Czech national parks management by giving the information about diversity of communities in the whole transboundary area, helping with identification especially in changing environment caused by humans.

Lev Perovych, Ihor Perovych, Lesia Perovych et al.

When performing high-precision geometric leveling on geodynamic and technogenic polygons, the problem of selecting a system of heights and obtaining reliable data arises, taking into account, first of all, the heterogeneity of the gravitational field along the lines of leveling. The research and development of a methodological approach to solve the above issues is the purpose of this publication. For the research process, the method of mathematical processing of a wide spectrum of geodetic and gravimetric measurements, differential and mathematical analysis, methods of conducting high-precision leveling and gravimetric works are used. During the process of field geodetic and gravimetric measurements, the values of gravitational acceleration in the mountain, foothill and plain areas were obtained, which made possible, on the basis of the mathematical dependences deduced by the author, to find corrections in the measured excesses for the non-parallelism of the level surfaces. On the basis of unique experimental level-gravimetric observations and their corresponding mathematical elaboration, numerical characteristics of gravitational acceleration for various forms of relief have been obtained. In the final case, the obtained analytic dependencies give an opportunity to take into account the influence of the non-parallelism of the level surfaces in the measured excesses or the heights of high-precision geometric leveling, without taking into account the gravitational field of the normal Earth. The proposed methodological approach to the determination of heights by high-precision geometric leveling on geodynamic and technogenic polygons may take into account the influence of the non-parallelism of the level surfaces according to the derived formulas and should be effectively used at present.

Maribel Casas-Cortés, Sebastian Cobarrubias, C. Heller et al.

Antonio Lanorte, Fortunato De Santis, Biagio Tucci

Remote sensing data can usefully support the fire management operational applications in different spatial and temporal scales with a synoptic point of view and low cost technologies. The satellite monitoring systems together with other geographic information, historical data and field measurements, can provide the fire management operators useful tools of fire danger assessment, fire prevention, fire-fighting and post-fire planning. The FIRE-SAT monitoring system was applied to a fire event which developed in a wildland-urban interface area of the Potenza town (Basilicata, Italy) on July 2015, in order to assess the fire occurrence danger, to evaluate the fire effects and to simulate the fire propagation.

Celestino Ordóñez, Carlos Cabo, Enoc Sanz-Ablanedo

Mobile laser scanning (MLS) is a modern and powerful technology capable of obtaining massive point clouds of objects in a short period of time. Although this technology is nowadays being widely applied in urban cartography and 3D city modelling, it has some drawbacks that need to be avoided in order to strengthen it. One of the most important shortcomings of MLS data is concerned with the fact that it provides an unstructured dataset whose processing is very time-consuming. Consequently, there is a growing interest in developing algorithms for the automatic extraction of useful information from MLS point clouds. This work is focused on establishing a methodology and developing an algorithm to detect pole-like objects and classify them into several categories using MLS datasets. The developed procedure starts with the discretization of the point cloud by means of a voxelization, in order to simplify and reduce the processing time in the segmentation process. In turn, a heuristic segmentation algorithm was developed to detect pole-like objects in the MLS point cloud. Finally, two supervised classification algorithms, linear discriminant analysis and support vector machines, were used to distinguish between the different types of poles in the point cloud. The predictors are the principal component eigenvalues obtained from the Cartesian coordinates of the laser points, the range of the Z coordinate, and some shape-related indexes. The performance of the method was tested in an urban area with 123 poles of different categories. Very encouraging results were obtained, since the accuracy rate was over 90%.

A. P. Dal Poz, V. J. M. Fernandes

This paper proposes a method for extracting groups of straight lines that represent roof boundaries and roof ridgelines from highresolution aerial images using corresponding Airborne Laser Scanner (ALS) roof polyhedrons as initial approximations. The proposed method is based on two main steps. First, straight lines that are candidates to represent roof ridgelines and roof boundaries of a building are extracted from the aerial image. Second, a group of straight lines that represent roof boundaries and roof ridgelines of a selected building is obtained through the optimization of a Markov Random Field (MRF)-based energy function using the genetic algorithm optimization method. The formulation of this energy function considers several attributes, such as the proximity of the extracted straight lines to the corresponding projected ALS-derived roof polyhedron and the rectangularity (extracted straight lines that intersect at nearly 90°). Experimental results are presented and discussed in this paper.

Joe Gerlach

VELE Dan , ALEXE Mircea, STOIAN Ioan

In the context of natural phenomena (earthquakes, floods, landslides etc.) bring economical and social prejudices year by year, watching on them and taking decisions becomes mandatory for reducing the material and human lives loss. Making hazard maps represents a tool used on wide global scale but also particularly in our country. This paper work has the purpose to reveal the interests of certain authors related to the usage of the new technologies of terrestrial measurements (GPS technologies, photogrammetry, cartography and of remote sensing) in order to make these hazard maps.

Gercsák, Gábor

Recently prestigious local publishing houses have been publishing a growing number of geographical descriptions of Hungary in English. While these publications are of outstanding design, the authors do not use the names of geographical objects in Hungary in a standardized manner. As a result, the foreign reader may find distinct variants of the same name within the same book. This can encumber the interpretation of information, and the identification of certain geographical features on maps. The author examines the peculiarities of naming lakes in Hungarian and in English while exploring the spelling rules behind the name forms in both languages. The author then compares several examples taken from Hungary with the names of lakes in English-speaking countries. Finally, the author proposes that the English standardized equivalents of the Hungarian names for lakes should be used more consistently.

S. Pink, L. Hjorth

A. Griffin, J. McQuoid

Jordan Branch

Jordana Dym, Karl Offen

H. Elsasser