Report.

Commissioners of railways: John Rae, 1861-18 .--Chas. A. Goodchap, 18 -1888.--E.M.G. Eddy, W.M. Fehon, Charles N.J. Oliver, 1889-1896.--Charles N.J. Oliver, W.M. Fehon, 1897.

Benthic habitats of Buck Island Reef National Monument

NOAA’s Center for Coastal Monitoring and Assessment’s Biogeography Branch has mapped and characterized large portions of the coral reef ecosystems inside the U.S. coastal and territorial waters, including the U.S. Caribbean. The complementary protocols used in these efforts have enabled scientists and managers to quantitatively compare different marine ecosystems in tropical U.S. waters. The Biogeography Branch used these same general protocols to generate three seamless habitat maps of the Bank/Shelf (i.e., from 0 ≤50 meters) and the Bank/Shelf Escarpment (i.e., from 50 ≤1,000 meters and from 1,000 ≤ 1,830 meters) inside Buck Island Reef National Monument (BIRNM). While this mapping effort marks the fourth time that the shallow-water habitats of BIRNM have been mapped, it is the first time habitats deeper than 30 meters (m) have been characterized. Consequently, this habitat map provides information on the distribution of mesophotic and deep-water coral reef ecosystems and serves as a spatial baseline for monitoring change in the Monument. A benthic habitat map was developed for approximately 74.3 square kilometers or 98% of the BIRNM using a combination of semi-automated and manual classification methods. The remaining 2% was not mapped due to lack of imagery in the western part of the Monument at depths ranging from 1,000 to 1,400 meters. Habitats were interpreted from orthophotographs, LiDAR (Light Detection and Ranging) imagery and four different types of MBES (Multibeam Echosounder) imagery. Three minimum mapping units (MMUs) (100, 1,000 and 5,000 square meters) were used because of the wide range of depths present in the Monument. The majority of the area that was characterized was deeper than 30 m on the Bank/Shelf Escarpment. This escarpment area was dominated by uncolonized sand which transitioned to mud as depth increased. Bedrock was exposed in some areas of the escarpment, where steep slopes prevented sediment deposition. Mesophotic corals were seen in the underwater video, but were too sparsely distributed to be reliably mapped from the source imagery. Habitats on the Bank/Shelf were much more variable than those seen on the Bank/Shelf Escarpment. The majority of this shelf area was comprised of coral reef and hardbottom habitat dominated by various forms of turf, fleshy, coralline or filamentous algae. Even though algae was the dominant biological cover type, nearly a quarter (24.3%) of the Monument’s Bank/Shelf benthos hosted a cover of 10%-<50% live coral. In total, 198 unique combinations of habitat classes describing the geography, geology and biology of the sea-floor were identified from the three types of imagery listed above. No thematic accuracy assessment was conducted for areas deeper than about 50 meters, most of which was located in the Bank/Shelf Escarpment. The thematic accuracy of classes in waters shallower than approximately 50 meters ranged from 81.4% to 94.4%. These thematic accuracies are similar to those reported for other NOAA benthic habitat mapping efforts in St. John (>80%), the Main Eight Hawaiian Islands (>84.0%) and the Republic of Palau (>80.0%). These digital maps products can be used with confidence by scientists and resource managers for a multitude of different applications, including structuring monitoring programs, supporting management decisions, and establishing and managing marine conservation areas. The final deliverables for this project, including the benthic habitat maps, source imagery and in situ field data, are available to the public on a NOAA Biogeography Branch website (http://ccma.nos.noaa.gov/ecosystems/coralreef/stcroix.aspx) and through an interactive, web-based map application (http://ccma.nos.noaa.gov/explorer/biomapper/biomapper.html?id=BUIS). This report documents the process and methods used to create the shallow to deep-water benthic habitat maps for BIRNM. Chapter 1 provides a short introduction to BIRNM, including its history, marine life and ongoing research activities. Chapter 2 describes the benthic habitat classification scheme used to partition the different habitats into ecologically relevant groups. Chapter 3 explains the steps required to create a benthic habitat map using a combination of semi-automated and visual classification techniques. Chapter 4 details the steps used in the accuracy assessment and reports on the thematic accuracy of the final shallow-water map. Chapter 5 summarizes the type and abundance of each habitat class found inside BIRNM, how these habitats compare to past habitat maps and outlines how these new habitat maps may be used to inform future management activities.

Pollen From Alder (Alnus sp.), Birch (Betula sp.) and Oak (Quercus sp.) in the UK Originate From Small Woodlands

We have analysed the pollen seasons in Worcester for the period 2005–12 for alder (Alnus), birch (Betula) and oak (Quercus) by using back trajectory calculations and produced the first detailed source maps for these three pollen types. The study shows considerable variations in the source–receptor relationship of three of the most important tree pollen types in England with respect to allergy. Long Distance Transport is observed for Quercus and Betula but not for Alnus. The new source maps show a number of high emitting areas for Betula and Quercus, mainly near London, in the Midlands and in Wales. The production of source maps is sensitive to the used type of land cover data and how well they incorporate small woodlands. Two satellite products, Corine Land Cover and Globcover, are compared with the detailed national land cover product Land Cover Map 2007. The broad scale satellite products show either up to 50% less woody coverage or a direct misplacement of woodlands. The Lagrangian back trajectory model, the pollen count observations and the source maps altogether suggest that small woodlands (below 25 ha) play a major role in the overall pollen load in urban areas in England.

Massive Science with VO and Grids

There is a growing need for massive computational resources for the analysis of new astronomical datasets. To tackle this problem, we present here our first steps towards marrying two new and emerging technologies; the Virtual Observatory (e.g, AstroGrid) and the computa- tional grid (e.g. TeraGrid, COSMOS etc.). We discuss the construction of VOTechBroker, which is a modular software tool designed to abstract the tasks of submission and management of a large number of compu- tational jobs to a distributed computer system. The broker will also interact with the AstroGrid workflow and MySpace environments. We discuss our planned usages of the VOTechBroker in computing a huge number of n–point correlation functions from the SDSS data and mas- sive model-fitting of millions of CMBfast models to WMAP data. We also discuss other applications including the determination of the XMM Cluster Survey selection function and the construction of new WMAP maps.

Professores de Street Dance do Estado de São Paulo: formação e saberes

This research of qualitative nature, aimed to analyze the formation and knowledges of the teachers of Street Dance from the State of São Paulo. Reviewing the literarature it was approached the conceptions of culture, "Hip Hop Culture", and Street Dance. Also, some studies referred to the professional formation in dance and Physical Education; acting in dance by the teacher of Physical Education; and professional academic formation and/or experimental. The approaching method was the story of the time at present. The technique: interview semi-structured. According to the analysis of the statements: a) we noticed that no one of the interviewers show academic formation in dance; a small part is graduated in Physical Education, and the majority act as authorized teachers by the CREF and/ or DRT; b) we verified that the teaching of Street Dance is determined by experimental knowledges. The Street Dance shows itself as a process of constitution, and the formation and the knowledges to its teaching did not show systematization.

Uso do receptor GPS topográfico na obtenção de cartas e modelo digital do terreno

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Plant Functional Type (PFT) map over Siberia derived from GlobCover 2005 dataset, link to dataset in NetCDF format

High-latitude ecosystems play an important role in the global carbon cycle and in regulating the climate system and are presently undergoing rapid environmental change. Accurate land cover data sets are required to both document these changes as well as to provide land-surface information for benchmarking and initializing Earth system models. Earth system models also require specific land cover classification systems based on plant functional types (PFTs), rather than species or ecosystems, and so post-processing of existing land cover data is often required. This study compares over Siberia, multiple land cover data sets against one another and with auxiliary data to identify key uncertainties that contribute to variability in PFT classifications that would introduce errors in Earth system modeling. Land cover classification systems from GLC 2000, GlobCover 2005 and 2009, and MODIS collections 5 and 5.1 are first aggregated to a common legend, and then compared to high-resolution land cover classification systems, vegetation continuous fields (MODIS VCFs) and satellite-derived tree heights (to discriminate against sparse, shrub, and forest vegetation). The GlobCover data set, with a lower threshold for tree cover and taller tree heights and a better spatial resolution, tends to have better distributions of tree cover compared to high-resolution data. It has therefore been chosen to build new PFT maps for the ORCHIDEE land surface model at 1 km scale. Compared to the original PFT data set, the new PFT maps based on GlobCover 2005 and an updated cross-walking approach mainly differ in the characterization of forests and degree of tree cover. The partition of grasslands and bare soils now appears more realistic compared with ground truth data. This new vegetation map provides a framework for further development of new PFTs in the ORCHIDEE model like shrubs, lichens and mosses, to represent the water and carbon cycles in northern latitudes better. Updated land cover data sets are critical for improving and maintaining the relevance of Earth system models for assessing climate and human impacts on biogeochemistry and biophysics.

Brussels, Belgium, 1907 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Plan général de Bruxelles et des communes suburbaines, dressé par M. Frosty ; gravé par A. Verwest. It was published by Librairie Falk Fils in 1907. Scale 1:10,000. Covers a portion of Brussels, Belgium. Map in French.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Belgian Lambert 1972 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, railroads and stations, street-railroads, drainage, built-up areas and selected buildings, parks, ground cover, city districts, and more.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Cape Town, South Africa, 1911 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Map of Cape Town (Central). It was published by Cape Peninsula Publicity Association in 1911. Scale [ca. 1:4,700]. Covers a portion of Cape Town, South Africa. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator (UTM Zone 34S, meters, WGS 1984) 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 map shows features such as roads, railroads and stations, street-railroads, drainage, selected buildings and tourist attractions, parks, and more. Includes inset location map and an index to points of interest.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

The Hague, Netherlands, 1891 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Nieuwste plan van 's Gravenhage : met de verschillende hieuwe bouwplannen, John C. Bignell graveur. It was published by John C. Bignell in 1891. Scale 1:10,000. Covers The Hague, Netherlands. Map in Dutch. The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'RD_New (Rijksdriehoekstelsel), GCS Amersfoort' 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, railroads and stations, street-railroads, drainage, canals, built-up areas and selected buildings, ground cover, parks, cemeteries, and more. Includes also index and advertisements in margins.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

Strasbourg, France, City Planning, 1910 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Plan der Stadt Strassburg : aufgestellt nach dem amtlichen Bebauungsplan. It was published by W. Heinrich in 1910. Scale 1:7,500. Covers Strasbourg, France. Map in German. The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'European Datum 1950 UTM Zone 32N' 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 development plans for the expansion of the city of Strasbourg. It includes features such as existing and proposed roads, railroads and stations, street-railroads, drainage, built-up areas and selected buildings, ground cover, parks, city district boundaries, and more. Includes black pen-and-ink manuscript additions and type-script paper pasted over map in English; red and yellow lines showing the public lands & buildings & lands owned by municpality. 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.

The Hague, Netherlands, 1889 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Nieuw plan van 's Gavenhage : 1889. It was published by Tj. Van Holkema in 1889. Scale [ca. 1:6,300]. Covers The Hague, Netherlands. Map in Dutch. The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'RD_New (Rijksdriehoekstelsel), GCS Amersfoort' 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, railroads, street-railroads, drainage, canals, built-up areas and selected buildings, windmills, ground cover, parks, and more. Includes insets: Scheveningsche Park en Boschjes -- [Haagsche Bosch] -- [Scheveningen]. 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.

Rotterdam, Netherlands, 1911 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Platte grond van Rotterdam : schaal 1:10000, geteekend door J.J. Claus. It was published by uitgave van P.M. Bazendijk in 1911. 1:10,000. Covers Rotterdam, Netherlands. Map in Dutch. The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'RD_New (Rijksdriehoekstelsel), GCS Amersfoort' 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, railroads and stations, street-railroads, drainage, built-up areas and selected buildings and industries, ground cover, parks, canals, wharves, docks, and more. 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.

Geneva, Switzerland, 1908 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Plan de Genève et de sa banlieue. It was published by Briquet & fils in 1908. Scale 1:6,000. Covers Geneva, Switzerland. The image inside the map neatline is georeferenced to the surface of the earth and fit to the 'CH1903_LV03' 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, railroads, street-railroads, drainage, built-up areas and selected buildings, parks, and more. 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.

Zürich, Switzerland, 1911 (Raster Image)

This layer is a georeferenced raster image of the untitled, historic paper map: [Zürich], Vermessungsamt der Stadt Zürich. It was published by Kartogr. Anstalt Hofer & Co. in 1911. Scale 1:12,500. Covers Zürich, Switzerland. Map in German. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Swiss Grid (CH1903 LV03) 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, railroads and stations, street-railroads, drainage, built-up areas and selected buildings, parks, and more. 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.