Geomatics and Environmental Engineering
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ISSN 1898-1135
e-ISSN: 2300-7095
Issue Date
2020
Volume
Vol. 14
Number
No 1
Description
Journal Volume
Geomatics and Environmental Engineering
Vol. 14 (2020)
Projects
Pages
Articles
Application of GIS tools to describe the location of new registered parcels
(Wydawnictwa AGH, 2020) Basista, Izabela
The article presents the possibility of using GIS (Geographic Information System) in the scope of the elaboration of calls for participants in land consolidation (LC). It shows the tools and the way they are used, as well as the possibility of automating this process. In the process of land consolidation and exchange, when the LC project is developed, calls for LC participants are prepared. Usually these documents are done manually by referring to the nearest plots of state before LC. The information given in the notification is, among others, the distance and direction in which the new plot is located away from the nearest plot of the old state. Using the GIS system, a tool has been developed that automatically shows information about the designation, direction and distance of parcel nearest to the input parcels and indicates selected nearest parcels on the map. The results were checked, and the tools used were assessed for their suitability for this type of task. In conclusion, specifying the distance and direction alone, especially at large distances, may be not accurate enough. However, the ability to automatically indicate the nearest plots before LC in relation to the newly designed plot is extremely valuable and significantly accelerates LC work.
3D technologies as the future of spatial planning - the example of Krakow
(Wydawnictwa AGH, 2020) Bieda, Agnieszka; Bydłosz, Jarosław; Parzych, Piotr; Pukanská, Katarína; Wójciak, Ewelina
The main goal of the paper is to make a general assessment of the application of 3D technologies in spatial planning. It was performed with the city of Krakow as the case study. The paper describes the outline of the spatial planning system in Poland and the planning conditions of Krakow. The data obtained from laser scanning for Krakow are also briefly characterized. The possibility of using these data for locating high-rise buildings in terms of the protection of Krakow's panorama and within two programs »IT system of the Country's Protection Against Extreme Hazards« (ISOK) and »Integrated spatial data monitoring system for air quality improvement in Krakow« (MONIT-AIR) were analyzed in the paper. The main result of the research is the assessment of what studies or measurements may be used to meet particular spatial planning needs or requirements.
Ferromagnetic underwater target detection based on a magnetic anomaly map
(Wydawnictwa AGH, 2020) Bodus-Olkowska, Izabela; Uriasz, Janusz
A magnetic anomaly map of an underwater area indicates the places where the distortion of a magnetic field has occurred. Through the interpretation procedures, a hydrographer can easily indicate the places where the ferromagnetic objects are, then calculate the level of each distortion - by the value of total anomaly - and initially, based on their own knowledge, try to classify the sources of distortion. Objects that induce micro anomaly changes (>30 nT) - like industrial infrastructure, such as pipelines and cables, to unintendingly located targets with ferromagnetic characteristics: wrecks (vessels, planes, cars), military mines, UXO, lost anchors and chains. Interpretation of such a map with the attempt to identify the source of magnetic field distortion, requires a specific knowledge as well as experience. In this article the author presents the research results of dimensioning and location of potential ferromagnetic underwater objects based on a magnetic anomaly map. For further consideration an anchor of buoyage system is taken into account. Geolocation of ferromagnetic sources, contours extraction and dimensioning algorithms of ferromagnetic targets have been carried out in Matlab software. The map of magnetic anomaly enhanced with extracted information was developed in ArcGIS. The analysis was carried out for the purpose of the dissertation thesis and the results are used in further research.
Analyzing the impact of simulated multispectral images on water classification accuracy by means of spectral characteristics
(Wydawnictwa AGH, 2020) Głowienka, Ewa; Michałowska, Krystyna
Remote sensing is widely applied in examining the parameters of the state and quality of water. Spectral characteristics of water are strictly connected with the dispersion of electromagnetic radiation by suspended matter and the absorption of radiation by water and chlorophyll a and b. Multispectral sensor ALI has bands within the ranges of electromagnetic radiation: blue and infrared, absent in sensors such as Landsat, SPOT, or Aster. The main goal of the article was to examine the influence of the presence of these bands on water classification accuracy carried out for simulated images ALI, Landsat, Spot, and Aster. The simulation of images was based on the hyperspectral image from a Hyperion sensor. Due to the spectral properties of water, all the operations on the images were carried out for the set of bands in visible and near-infrared (VNIR) spectral range. In the framework of these studies, the impact of removing individual bands or sets of bands on the classification results was tested. Tests were carried out for the area of the water body of the Dobczyce Reservoir. It was observed that the lack of a spectral response in the infrared range of ALI image can reduce the accuracy of a classification by as much as 60%. On the other hand, the lack of blue and red bands in the dataset for the classification decreased the accuracy of water classification by 15% and 10%, respectively.
The improvement of the agricultural yields forecasting model using the software product »Land Viewer«
(Wydawnictwa AGH, 2020) Kolodìj, Pavlo; Pidlipna, Marina Petrivna
Using the data of the remote sensing the Earth, new opportunities in assessing the state of agricultural crops and yield forecasting have been considered. In addition to the above-ground information, as shown by numerous studies conducted earlier, most parameters of the germination and development of agricultural crops can be restored and used from satellite images. Thanks to the software product »Land Viewer«, which enables pictures to be taken from Landsat 4, 5, 7, 8, Sentinel 2 and Terra satellites, and it will provide improving the model and assessment of the biomass potential of agricultural crops. The data obtained from remote sensing during the cropping season, show the information on the condition of agricultural crops sown according to the vegetation stages (photosynthesis process) in crops. At various levels of development, in terms of the Normalized Difference Vegetation Index (NDVI), the seasonal pattern of crops photosynthesis is well reflected, which is associated with the above-ground biomass. The results have been presented in the current model of crop yield forecasting. The improved forecasting model enables significant increases in the economic efficiency of the research, and ensure the accuracy of the data on the physiological processes of agricultural crops, yields, and efficiency of obtaining the data on the research object.