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EN
The spatial data sets of soil resources are essential for the interpretation of the site-specific ecosystems, not only concerning process investigations, but also for sustainable soil management The objective of the study was to attempt identification of the primary parameters influencing the rational management of soils available without the necessity of carrying out time-consuming and costly field and laboratory research. The research was carried out in the Pawłów commune (north-eastern part of the Świętokrzyskie Voivodeship, Poland). The research included the application of different methods and interpretation of source materials, including (i) digital soil-agricultural map, (ii) annex to the soil-agricultural map at a scale of 1:5000, (iii) soil quality contours, (iv) digital terrain model, and (v) orthophotomaps. Obtaining data concerning soil type and/or agricultural usefulness complexes would require conducting a generalisation process. Publicly available ortophotomaps and cartographic materials in the form of topographic maps and a numerical terrain model were analysed to determine the extent of soils to be protected. The rational management of space and soil resources can be visualised and documented using BIM technology; however, relying on GIS data is not the most straightforward task due to the lack of integration on the BIM-GIS line. This paper presents the current state of the art and attempts to address selected problems in this area.
PL
Lubelski Węgiel „Bogdanka” (LWB) od zawsze kojarzona jest z postępem technicznym i technologicznym. Posiada ona jeden z najnowocześniejszych parków maszynowych sektora wydobywczego węgla kamiennego. W tym roku do tego parku dołączyły bezzałogowe statki latające (BSL). Wykorzystywane będą one w szczególności do pomiarów geodezyjnych, obmiarów rozlewisk, obliczania wielkości zapasów węgla zgromadzonych na składowisku itp. W artykule przedstawiono parametry techniczne zakupionych statków, przykład zastosowań BSL do stworzenia ortofotomapy oraz tok postępowania przy jej tworzeniu.
EN
Lubelski Węgiel ”Bogdanka” (LWB) has always been associated with technical and technological progress. It has one of the most modern machinery parks in the underground coal mining sector. This year the machine park was supplemented by drones. They will be used in particular for geodetic measurements, measurements of floods, calculation of the amount of coal collected in a landfill, etc. This paper presents the technical parameters of the purchased drones, an example of applications to create an orthophotomap and how to proceed when creating it.
PL
Firma VisionMap jest wiodącą firmą w rozwoju nowoczesnych kamer fotogrametrycznych i oprogramowania dla opracowania map, rozpoznania i misji zwiadowczych w tym kamery A3 Edge Digital Mapping System (zobrazowania barwne i termalne), która może być zainstalowana również na BSL oraz kamer MIST-U i MIST-IR. Przetwarzanie zobrazowań odbywa się automatycznie w oprogramowaniu VisionMap's LightSpeed. Opisano dane kamer, przykłady opracowań i dokładności produktów fotogrametrycznych.
EN
The VisionMap is a world leader in the development of aerial survey equipment (for manned an unmanned aircraft) and software, for photogrammetry, mapping, reconnaissance and HLS missions. The company has developed and successfully implemented a range of innovative aerial survey systems including the A3 Edge Digital Mapping System for manned aircraft and MIST (color and thermal) for drones which are described in the article. Images from these cameras are processed by VisionMap’s with the use original LightSpeed software – a uniform automatic ground processing system with an end-to-end photogrammetric workflow. Cameras, examples and accuracy of the photogrammetric products are presented.
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PL
W artykule przedstawiono metodykę przetwarzania i zastosowania wieloczasowych danych satelitarnych do monitorowania zmian wybranych elementów środowiska Słowińskiego Parku Narodowego (SPN). W pierwszym etapie prac obrazy Landsata z lat 1979 i 2000 poddano korekcji atmosferycznej, a następnie procesowi resamplingu piksela z 30 m na 60 i na odwrót. Obrazy LANDSATA (układ UTM) wykorzystano do wygenerowania obrazów: indeksu wegetacji NDVI. Na podstawie wygenerowanych kompozycji barwnych w barwach naturalnych i umownych, wyników klasyfikacji nienadzorowanej, wyników NDVI oraz analizy ortofotomap uzyskanych ze zdjęć lotniczych zdefiniowano siedem klas pokrycia terenu. Następnie w programie ENVI przeprowadzono klasyfikacje nadzorowana, której wyniki wykorzystano do analizy zmian pokrycia obszaru Parku. Uwzględniając zarówno rocznik jak i wielkość piksela na mapach pokrycia terenu przeanalizowano udział procentowy powierzchni poszczególnych klas. Bazując na obserwacjach wyników NDVI stwierdzono, e dynamika zmian w okresie analizowanego okresu dwudziestu jeden lat jest wyraźnie widoczna w przypadku najbardziej aktywnych elementów środowiska SPN jakimi są ruchome wydmy. Analiza map pokrycia terenu z lat 1979 i 2000 wykazała, iż zauważalne zmiany nastąpiły w przypadku lasów, których udział procentowy po 21 latach wzrósł o 4÷6%.
EN
The article presents methodology of processing and application of multitemporal satellite data for the monitoring of changes in selected environment elements in the Słowinski National Park. In the first stage of work, Landsat images from 1979 and 2000 were subjected to atmospheric correction, and then to the process of pixel resampling from 30 m to 60 m, and vice versa. LANDSAT images (UTM arrangement) were utilized for generating images: NDVI vegetation index. Based on the generated colour compositions in natural and pre-arranged colours, results of non-supervised classification, NDVI results, and analysis of orthophotomaps obtained from air images, there were seven classes of area coverage defined. Next, using the ENVI programme, supervised classification was conducted, and its results were used for the analysis of changes in the Park area coverage. Taking into account both the year, in which images were made and the size of pixels on area coverage maps, the percentage share of areas of particular classes was analysed. Based on the review of NDVI results, it was found that the dynamics of changes in the analysed period of twenty-one years is clearly visible in the case of the most active elements of the Park environment, that is migrating dunes. The analysis of area coverage maps from 1979 and 2000 revealed that noticeable changes took place as regards forests, whose percentage share was increased by 4-6% after 21 years.
EN
The paper presents the methodology for processing and integrating data that originate from various sources and periods. In the first stage of works conducted under the research project No. N304 077 31/3060 financed by the State Committee for Scientific Research and titled "Spatial Modelling of Changes in Selected Elements of the Słowinski National Park," archival and current aerial photos from 1951-2004 were subjected to processing. The photogrammetric material was then used to prepare a Digital Terrain Model (DTM), and next, to generate orthophotomaps for all annual files. As a result, particular DTMs became the grounds for analyses of changes in land configuration resulting from dynamic eolian processes that take place in the coastal zone and in the belt of migrating dunes, which exist within the Słowinski National Park (the SNP) territory. Vectorial map layers under the "1965" coordinate system constituted an important source of information on the investigated area (including, among other things, thematic layers: geodesy, topography, geology, hydrology, flora, fauna, and other – all in the dgn format), and the same about tabular descriptive data (the MS Access format), concerning particular elements of the SNP environment. The descriptive data required proper processing and combining with thematic vectorial maps. In another stage of research, multitemporal image data for the investigated area and thematic layers were integrated in GeoMedia (GeoMedia Professional, GeoMedia Grid) environment, which allows to read and process various format data. The integrated spatial and time data enabled a comprehensive examination of those factors, which contribute to constant changes in the Park landscape and environment. Satellite photos provided a valuable supplement to the database. Images from the ASTER and LANDSAT satellite (under the UTM system) were utilised to generate images of the vegetation index, land use/coverage maps, as well as colourful compositions. The satellite data was processed with the use of ENVI (Environment for Visualizing Image) software. Finally, the database created that way made it possible to perform complex analyses of changes occurring in the SNP area.
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Content available remote Ortofoto dla odważnych
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