Saint Petersburg Region, Russia, 1817 (Raster Image)

This layer is a georeferenced raster image of the historic, topographic paper map entitled: [Topograficheskai͡a karta okruzhnosti Sanktpetersburga : Ispravlennaia 1817 goda]. It was published by Voenno-Topograficheskom Depo pri Glavnom Shtabie ego Impertorskafo Velichestva in [1817]. Scale [ca. 1:42,000]. Covers Saint Petersburg Region, Russia. Map in Russian.The image inside the map neatline is georeferenced to the surface of the earth and fit to the European Datum 1950, Universal Transverse Mercator (UTM) Zone 36N projected coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map.This is a typical topographic map portraying both natural and manmade features. It shows and names works of nature, such as mountains, valleys, lakes, rivers, vegetation, etc. It also identify the principal works of humans, such as roads, railroads, boundaries, transmission lines, major buildings, etc. Relief is shown by hachures. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.

Saint Petersburg Region, Russia, 1834 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: [Karta mesta zanimaemago Sanktpeterburgom : v tom vide v kakom onoe nakhodilos' za god do osnovaniia goroda; sostavlena dlia panoramy S. Peterburga, 1834]. It was published in 1834. Scale [ca. 1:76,000]. Covers Saint Petersburg Region, Russia. Map in Russian and Swedish. The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'Pulkovo 1995 Gauss Kruger Zone 6N' coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, built-up areas and selected buildings, ground cover, and more. Relief is shown by hachures. Depths shown by soundings. Includes insets: [Retusari island] -- [Slüselberg]. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.

China 1:200,000 : Sheet H-50-XXIV : Zhejiang Sheng Region (Raster Image)

This layer is a georeferenced raster image of the Soviet Army topographic sheet map covering a portion of the Zhejiang Sheng region, China (map quadrangle number: H-50-XXIV). It is from a series of Soviet Army topographic maps of China 1:200,000. The source map was published in 1979. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Pulkovo 1942 GK Zone 20N projection. Map collar information from the source map have been cropped and are not available as part of the raster image. China 1:200,000 topographic maps were prepared and printed by the Soviet Army General Headquarters, 1976-1991. China 1:200,000 maps are in Russian. Each source map in the series is printed in color. China 1:200,000 maps are typical topographic maps portraying both natural and manmade features. They show and name works of nature, such as mountains, valleys, lakes, rivers, vegetation, etc. They also identify the principal works and structures of humans, such as roads, railroads, paths, walls, boundaries, transmission lines, major buildings, etc. Relief is shown with standard contour intervals of 40 meters and/or spot heights.

China 1:200,000 : Sheet H-50-XXX : Zhejiang Sheng Region (Raster Image)

This layer is a georeferenced raster image of the Soviet Army topographic sheet map covering a portion of the Zhejiang Sheng region, China (map quadrangle number: H-50-XXX). It is from a series of Soviet Army topographic maps of China 1:200,000. Published in 1979, the source map was compiled from maps 1:100,000 published in 1977; corrected according to source material, 1970-1975. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Pulkovo 1942 GK Zone 20N projection. Map collar information from the source map have been cropped and are not available as part of the raster image. China 1:200,000 topographic maps were prepared and printed by the Soviet Army General Headquarters, 1976-1991. China 1:200,000 maps are in Russian. Each source map in the series is printed in color. China 1:200,000 maps are typical topographic maps portraying both natural and manmade features. They show and name works of nature, such as mountains, valleys, lakes, rivers, vegetation, etc. They also identify the principal works and structures of humans, such as roads, railroads, paths, walls, boundaries, transmission lines, major buildings, etc. Relief is shown with standard contour intervals of 40 meters and/or spot heights.

China 1:200,000 : Shaoxing Region, Zhejiang Sheng (Raster Image)

This layer is a georeferenced raster image of the Soviet Army topographic sheet map of the Shaoxing region, Zhejiang Sheng, China (map quadrangle number: H-51-XIX). It is from a series of Soviet Army topographic maps of China 1:200,000. Published in 1979, the source map was compiled from maps 1:100,000 published in 1977; corrected according to source material, 1973, 1974. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Pulkovo 1942 GK Zone 20N projection. Map collar information from the source map have been cropped and are not available as part of the raster image. China 1:200,000 topographic maps were prepared and printed by the Soviet Army General Headquarters, 1976-1991. China 1:200,000 maps are in Russian. Each source map in the series is printed in color. China 1:200,000 maps are typical topographic maps portraying both natural and manmade features. They show and name works of nature, such as mountains, valleys, lakes, rivers, vegetation, etc. They also identify the principal works and structures of humans, such as roads, railroads, paths, walls, boundaries, transmission lines, major buildings, etc. Relief is shown with standard contour intervals of 40 meters and/or spot heights.

China 1:200,000 : Xianju Region, Zhejiang Sheng (Raster Image)

This layer is a georeferenced raster image of the Soviet Army topographic sheet map of the Xianju region, Zhejiang Sheng, China (map quadrangle number: H-51-XXV). It is from a series of Soviet Army topographic maps of China 1:200,000. Published in 1986, this map reflects 1979 ground conditions. The source map was compiled from maps 1:100,000 published in 1979. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Pulkovo 1942 GK Zone 20N projection. Map collar information from the source map have been cropped and are not available as part of the raster image. China 1:200,000 topographic maps were prepared and printed by the Soviet Army General Headquarters, 1976-1991. China 1:200,000 maps are in Russian. Each source map in the series is printed in color. China 1:200,000 maps are typical topographic maps portraying both natural and manmade features. They show and name works of nature, such as mountains, valleys, lakes, rivers, vegetation, etc. They also identify the principal works and structures of humans, such as roads, railroads, paths, walls, boundaries, transmission lines, major buildings, etc. Relief is shown with standard contour intervals of 40 meters and/or spot heights.

China 1:200,000 : Wezhou Region, Zhejiang Sheng (Raster Image)

This layer is a georeferenced raster image of the Soviet Army topographic sheet map of the Wenzhou region, Zhejiang Sheng, China (map quadrangle number: H-51-XXXI). It is from a series of Soviet Army topographic maps of China 1:200,000. Published in 1986, this map reflects 1979 ground conditions. The source map was compiled from maps 1:100,000 published in 1979. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Pulkovo 1942 GK Zone 20N projection. Map collar information from the source map have been cropped and are not available as part of the raster image. China 1:200,000 topographic maps were prepared and printed by the Soviet Army General Headquarters, 1976-1991. China 1:200,000 maps are in Russian. Each source map in the series is printed in color. China 1:200,000 maps are typical topographic maps portraying both natural and manmade features. They show and name works of nature, such as mountains, valleys, lakes, rivers, vegetation, etc. They also identify the principal works and structures of humans, such as roads, railroads, paths, walls, boundaries, transmission lines, major buildings, etc. Relief is shown with standard contour intervals of 40 meters and/or spot heights.

Istanbul and Bosporus Region, Turkey, 1821 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Plan de Constantinople : du Bosphore & du Canal de la Mer Noire dessiné d'apres les meilleurs materiaux, par F. Fried ; gravé par Rud. de Rothenburg. It was published by chez Artaria & Co. in 1821. Scale [ca. 1:50,000]. Covers Istanbul and Bosporus Region, Turkey. Map in French. The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'European Datum 1950 UTM Zone 35N' coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as roads, cities, towns, and villages, drainage, built-up areas and selected buildings, fortification, city districts, ports, aqueducts, and more. Relief shown by hachures. Depths shown by soundings. Includes indexes, note, and inset: Plan du Serail. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.

China 1:200,000 : Lishui Region, Zhejiang Sheng (Raster Image)

This layer is a georeferenced raster image of the Soviet Army topographic sheet map of the Lishui region, Zhejiang Sheng, China (map quadrangle number: H-50-XXXVI). It is from a series of Soviet Army topographic maps of China 1:200,000. Published in 1979, the source map was compiled from maps 1:100,000 published in 1977; corrected according to source material, 1973-1975. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Pulkovo 1942 GK Zone 20N projection. Map collar information from the source map have been cropped and are not available as part of the raster image. China 1:200,000 topographic maps were prepared and printed by the Soviet Army General Headquarters, 1976-1991. China 1:200,000 maps are in Russian. Each source map in the series is printed in color. China 1:200,000 maps are typical topographic maps portraying both natural and manmade features. They show and name works of nature, such as mountains, valleys, lakes, rivers, vegetation, etc. They also identify the principal works and structures of humans, such as roads, railroads, paths, walls, boundaries, transmission lines, major buildings, etc. Relief is shown with standard contour intervals of 40 meters and/or spot heights.

Cape of Good Hope and Cape Town Region, South Africa, Nautical Chart, 1822 (Raster Image)

This layer is a georeferenced raster image of the historic, paper map entitled: Survey of the Cape of Good Hope, by Lieut. A.T.E. Vidal of H.M.S. Leven, assisted by Captn. Chas. Lechmere, R.N. Lieut T. Boteler, and Mr. H.A. Gibbons, Admlty. Midn. under the direction of Captn. W.F.W. Owen, 1822. J. & C. Walker sculpt. It was published according to Act of Parliament at the Hydrographical Office of the Admiralty, 4th March 1828. Scale [ca. 1:153,512]. Covers the Cape Peninsula region, including False Bay and Cape Town, South Africa. The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'WGS 1984 UTM 34S' coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows coastal features such as beacons, rocks, channels, points, coves, islands, bottom soil types, anchorage points, and more. Includes also selected land features such as roads, drainage, land cover, selected buildings, towns, and more. Relief shown by contours; depths by soundings. Includes notes, table of heights, and two views. This layer is part of a selection of digitally scanned and georeferenced historic maps from The Harvard Map Collection as part of the Imaging the Urban Environment project. Maps selected for this project represent major urban areas and cities of the world, at various time periods. These maps typically portray both natural and manmade features at a large scale. The selection represents a range of regions, originators, ground condition dates, scales, and purposes.

Boston, Massachusetts Region LIDAR First Return Elevation Data, 2002

LIDAR (LIght Detection And Ranging) first return elevation data of the Boston, Massachusetts region from MassGIS at 1-meter resolution. This LIDAR data was captured in Spring 2002. LIDAR first return data (which shows the highest ground features, e.g. tree canopy, buildings etc.) can be used to produce a digital terrain model of the Earth's surface. This dataset consists of 74 First Return DEM tiles. The tiles are 4km by 4km areas corresponding with the MassGIS orthoimage index. This data set was collected using 3Di's Digital Airborne Topographic Imaging System II (DATIS II). The area of coverage corresponds to the following MassGIS orthophoto quads covering the Boston region (MassGIS orthophoto quad ID: 229890, 229894, 229898, 229902, 233886, 233890, 233894, 233898, 233902, 233906, 233910, 237890, 237894, 237898, 237902, 237906, 237910, 241890, 241894, 241898, 241902, 245898, 245902). The geographic extent of this dataset is the same as that of the MassGIS dataset: Boston, Massachusetts Region 1:5,000 Color Ortho Imagery (1/2-meter Resolution), 2001 and was used to produce the MassGIS dataset: Boston, Massachusetts, 2-Dimensional Building Footprints with Roof Height Data (from LIDAR data), 2002 [see cross references].

The EU Strategy for the Baltic Sea Region from Germany’s perspective. OSW Commentary No. 69, 2011-01-10

Germany is one of the eight EU member states which participate in the EU Strategy for the Baltic Sea Region along with Denmark, Estonia, Finland, Latvia, Lithuania, Poland and Sweden. Germany had a positive approach to the EUSBSR strategy (see Appendix 1) right from planning stage. This project contributed to the continuation of Germany’s co-operation with the countries in this region, which has been conducted since the mid 1980s mainly by German federal states. Germany is playing a major role as part of this strategy because it is the coordinator of its three priority areas.However, the German federal government sees the EUSBSR as a project to be implemented at the level of federal states. This has been proven by the great activity of three German federal states participating in the strategy (Hamburg, Mecklenburg-Vorpommern and Schleswig-Holstein) and at the same time the low level of engagement from the Bundestag, the federal government and expert circles. Furthermore, federal states more often formulate evaluations of the effects of co-operation achieved so far as part of the EUSBSR. Still, the relatively low level of Berlin’s engagement does not mean that it is not interested in co-operation in the Baltic region as such. Germany actively participates in the work of such bodies as the Council of the Baltic Sea States or the Baltic Marine Environment Protection Commission (HELCOM). All German entities engaged in the strategy make its future attractiveness and the success of individual projects as part of it dependent on including Russia in the EUSBSR. As long as Germany has the opportunity of regional co-operation with Russia at other forums (for example, the Council of the Baltic Sea States), it is unlikely to become more engaged in developing the strategy and enhancing co-operation as part of this project.

Near Real-Time Detection Of Pipe Bursts in Water Distribution Systems

The research work presented in the thesis describes a new methodology for the automated near real-time detection of pipe bursts in Water Distribution Systems (WDSs). The methodology analyses the pressure/flow data gathered by means of SCADA systems in order to extract useful informations that go beyond the simple and usual monitoring type activities and/or regulatory reporting , enabling the water company to proactively manage the WDSs sections. The work has an interdisciplinary nature covering AI techniques and WDSs management processes such as data collection, manipulation and analysis for event detection. Indeed, the methodology makes use of (i) Artificial Neural Network (ANN) for the short-term forecasting of future pressure/flow signal values and (ii) Rule-based Model for bursts detection at sensor and district level. The results of applying the new methodology to a District Metered Area in Emilia- Romagna’s region, Italy have also been reported in the thesis. The results gathered illustrate how the methodology is capable to detect the aforementioned failure events in fast and reliable manner. The methodology guarantees the water companies to save water, energy, money and therefore enhance them to achieve higher levels of operational efficiency, a compliance with the current regulations and, last but not least, an improvement of customer service.

Spatially explicit estimates of stock size, structure and biomass of North Atlantic albacore tuna (Thunnus alalunga) in the North Atlantic for the period 1987-2011, compiled from statistics about ICCAT fishery region L6

The development of the ecosystem approach and models for the management of ocean marine resources requires easy access to standard validated datasets of historical catch data for the main exploited species. They are used to measure the impact of biomass removal by fisheries and to evaluate the models skills, while the use of standard dataset facilitates models inter-comparison. North Atlantic albacore tuna is exploited all year round by longline and in summer and autumn by surface fisheries and fishery statistics compiled by the International Commission for the Conservation of Atlantic Tunas (ICCAT). Catch and effort with geographical coordinates at monthly spatial resolution of 1° or 5° squares were extracted for this species with a careful definition of fisheries and data screening. In total, thirteen fisheries were defined for the period 1956-2010, with fishing gears longline, troll, mid-water trawl and bait fishing. However, the spatialized catch effort data available in ICCAT database represent a fraction of the entire total catch. Length frequencies of catch were also extracted according to the definition of fisheries above for the period 1956-2010 with a quarterly temporal resolution and spatial resolutions varying from 1°x 1° to 10°x 20°. The resolution used to measure the fish also varies with size-bins of 1, 2 or 5 cm (Fork Length). The screening of data allowed detecting inconsistencies with a relatively large number of samples larger than 150 cm while all studies on the growth of albacore suggest that fish rarely grow up over 130 cm. Therefore, a threshold value of 130 cm has been arbitrarily fixed and all length frequency data above this value removed from the original data set.