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EN
The paper discusses how to apply the information on the density of three-dimensional point cloud, obtained as a result of computer stereo reconstruction of an area, based on aerial images. Images of high objects – particularly walls, treetops, bushes, etc. – in a particular area are used to create a point density map by means of GIS instruments. The information enables redistribution of the weight of cloud points in order to intensify or reduce their impact on the digital model of an area, or orthophotomap. The proposed method has been used to create orthophotomaps based on aerial images obtained from UAS.
EN
The paper presents a selection of a semivariogram model in the study of spatial variability of soil moisture in a loess agricultural catchment. Soil moisture tests were carried out in the Moszenki village, 15 km northwest of Lublin. Soil moisture measurements were performed at two dates at 104 points, located on a rectangular surface measuring 700 × 1200 m. These points were laid out in the corners of a grid of squares with sides 100 m. In addition, 6 measurements were made at a distance of less than 100 m from the nearest points. Soil moisture was measured in the soil surface (0–5 cm). ArcGis software with Geostatistical Analyst extension was used for modelling semivariograms. In both terms, five models of semivariograms were used: stable, circular, spherical, exponential and Gaussian. Kriging was used for the estimation of soil moisture values. Among the semivariogram models analyzed in this study, the largest errors in the determined values of soil moisture relative to the empirical data were observed for the exponential model, and the smallest for the Gaussian model. However, it should be emphasized that the values of the analysed errors for the individual semivariogram models were similar. Application of the ordinary kriging method for interpolation of spatial distribution of soil moisture yields good results, but it has to be kept in mind that the final shape of the spatial distribution is influenced by the choice of the semivariance function model.
PL
W pracy zaprezentowano dobór modelu semiwariogramu w badaniach przestrzennej zmienności wilgotności gleby w lessowej zlewni rolniczej. Badania wilgotności gleb przeprowadzono na terenie wsi Moszenki, 15 km na północny zachód od Lublina. Pomiary wilgotności gleby przeprowadzono w dwóch terminach w 104 punktach, rozmieszczonych na powierzchni w kształcie prostokąta o wymiarach 700 × 1200 m. Punkty te wytyczono w narożnikach siatki kwadratów o bokach 100 m. Dodatkowo wykonano 6 pomiarów zlokalizowanych w odległości mniejszej niż 100 m od najbliższych punktów. Wilgotność mierzono w powierzchniowej warstwie gleby (0–5 cm). Do modelowania semiwariogramów wykorzystano program ArcGis z rozszerzeniem Geostatistical Analyst. W obu terminach do analiz wykorzystano pięć modeli semiwariogramów: stały, kołowy, sferyczny, wykładniczy, Gaussa. Do estymowania wartości wilgotności na analizowanym obszarze wykorzystano kryging zwyczajny. Spośród analizowanych modeli semiwariogramów największe błędy wyznaczonych wartości wilgotności gleby w stosunku do danych empirycznych zanotowano dla modelu wykładniczego, natomiast najmniejsze dla modelu Gaussa. Wykorzystanie krygingu zwykłego do interpolacji rozkładu przestrzennego wilgotności gleb daje dobre rezultaty, jednak na efekt końcowy rozkładu przestrzennego wpływ miał dobór modelu funkcji semiwariancji.
EN
Hydropower plants in Poland currently use only 19% of the river’s energy potential. Development of hydropower is limited by environmental regulations as well as by economic grounds. From the environmental point of view, it is desirable to build small hydropower plants integrated into the local landscape. This paper presents results of the research aimed at estimating the amount of energy that could be produced in the case of small hydroelectric power plants on weirs existing on the Tyśmienica River. There is also a legal framework that should be adapted at hydropower development. It was calculated that the technical capacity of the small hydropower plants that could be built on 4 existing weirs, is 0.131 MW. These power plants could produce 786 MWh of electricity per year. The economic efficiency of this production is currently difficult to assess, because a new support system for renewable energy sources is currently being implemented, which will be a decisive factor for entrepreneurs. It should be borne in mind that potential investments will be made in protected areas within the Natura 2000 network, which may limit their constructing or impose the obligation to assess their impact on selected environmental elements. Location within the protective area does not eliminate such investments, especially when solutions with the least possible environmental impact are used.
PL
Elektrownie wodne w Polsce wykorzystują obecnie zaledwie 19% potencjału energetycznego rzek. Rozwój hydroenergetyki ograniczany jest przez przepisy związane z ochroną środowiska, a także przez uwarunkowania ekonomiczne. Ze środowiskowego punktu widzenia najbardziej pożądana jest budowa małych elektrowni wodnych, wkomponowanych w lokalny krajobraz. Niniejsza praca prezentuje wyniki badań, których celem było oszacowanie ilości energii, możliwej do wyprodukowania w przypadku budowy małych elektrowni wodnych na jazach, istniejących na rzece Tyśmienicy. Wskazano też ramy prawne, do których należy się dostosować w razie hydroenergetycznego zagospodarowania budowli. Obliczono, że potencjał techniczny mocy małych elektrowni wodnych, które mogłyby powstać na 4 istniejących jazach, wynosi 0,131 MW. Elektrownie te mogłyby produkować 786 MWh energii elektrycznej rocznie. Efektywność ekonomiczną tej produkcji trudno obecnie ocenić, ponieważ aktualnie wdrażany jest nowy system wsparcia odnawialnych źródeł energii, który będzie decydującym czynnikiem dla przedsiębiorców. Należy mieć na uwadze, że potencjalne inwestycje znajdą się na terenie objętym ochroną w ramach sieci Natura 2000, co może ograniczać ich wznoszenie lub nakładać obowiązek przeprowadzania oceny oddziaływania na wybrane elementy środowiska. Położenie w obszarze ochronnym nie eliminuje takich lokalizacji, zwłaszcza w przypadku zastosowania rozwiązań o możliwie małym wpływie na środowisko.
EN
The authors of the article consider five classic methods to improve images with pan sharpening and it present their mathematical models and technological schemes, the estimation of their positive effects both on color distortion and fragmentation in spatial resolution. Results of impact methods were observed and compared in two sofware products: Erdas Imagine 10.0 and ArcGIS 10.2. For comparison were used satellite images with ultrahigh spatial resolution and high spatial resolution.
EN
The development of railway sector around the world has always been a vital issue, as it plays important social, financial and economical role and influences the development of the country a lot. Because of constant growth and modernizing of the railway sector all processes and items of land and property fund have to be monitored. On the basis of the world experience, trends in the development of methods and technologies of area mapping it has been established that for the inventory of land and property fund objects cartographic material at 1 : 500 or 1 : 1000 scales suits the most. With the large amounts of work (for example area of mapping and number of railroad objects) it is reasonable to use digital aerial photography and technology of digital data processing, in particular methods of digital photogrammetry. In order to increase the accuracy of creating the cartographic component, the authors suggest, when choosing the parameters of aerial photography, taking into account spatial resolution of camera system, its geometrical properties, the influence of external factors and first of all the atmospheric refraction. It has been proved that by highly precise aerial photography the accuracy of fixation of angular elements of camera orientation with the help of Inertial Navigation Systems (INS) may be insufficient. Therefore it is recommended to thicken core network using block phototriangulation. This paper presents the description and results of experimental work, which helped to create cartographic material from digital images at 1 : 3000 scale with an accuracy of 4–5 cm, which fully meets the requirements for holding inventory, monitoring, maintenance, design and construction.The development of railway sector around the world has always been a vital issue, as it plays important social, financial and economical role and influences the development of the country a lot. Because of constant growth and modernizing of the railway sector all processes and items of land and property fund have to be monitored. On the basis of the world experience, trends in the development of methods and technologies of area mapping it has been established that for the inventory of land and property fund objects cartographic material at 1 : 500 or 1 : 1000 scales suits the most. With the large amounts of work (for example area of mapping and number of railroad objects) it is reasonable to use digital aerial photography and technology of digital data processing, in particular methods of digital photogrammetry. In order to increase the accuracy of creating the cartographic component, the authors suggest, when choosing the parameters of aerial photography, taking into account spatial resolution of camera system, its geometrical properties, the influence of external factors and first of all the atmospheric refraction. It has been proved that by highly precise aerial photography the accuracy of fixation of angular elements of camera orientation with the help of Inertial Navigation Systems (INS) may be insufficient. Therefore it is recommended to thicken core network using block phototriangulation. This paper presents the description and results of experimental work, which helped to create cartographic material from digital images at 1 : 3000 scale with an accuracy of 4–5 cm, which fully meets the requirements for holding inventory, monitoring, maintenance, design and construction.
EN
Two methods of determining changes of objects (structures) using remote sensing data obtained in different times are considered in this article. The comparison of the percentage of destroyed buildings as a consequence of the earthquake in L'Aquila city (Italy) was implemented. For comparison two ways of data collection were used: obtaining data by the digitalization of objects before and after the disaster (using MapInfo software) and by automatic image classification using a special module Delta Cue (Erdas software).
EN
Analyses of digital phototheodolite method o f researches of island glaciers in region of Ukrainian antarctic station of Vernadskyy is pesented in the paper. Apriory calculation of accuracy of determination of surface values of glaciers is shown. The conclusions about accuracy increasing of the method o f vertical network are made on its example. Results o f researches arc given.
EN
The modern conditions of navigational-digital and space photogrammetry, radar interferometry and laser scanning is detailed described in the paper.
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