Literatura científica selecionada sobre o tema "Ohio Topographic Survey"

Historic topographic maps, which are georeferenced and made publicly available by the United States Geological Survey (USGS) and the National Map’s Historical Topographic Map Collection (HTMC), are a valuable source of historic land cover and land use (LCLU) information that could be used to expand the historic record when combined with data from moderate spatial resolution Earth observation missions. This is especially true for landscape disturbances that have a long and complex historic record, such as surface coal mining in the Appalachian region of the eastern United States. In this study, we investigate this specific mapping problem using modified UNet semantic segmentation deep learning (DL), which is based on convolutional neural networks (CNNs), and a large example dataset of historic surface mine disturbance extents from the USGS Geology, Geophysics, and Geochemistry Science Center (GGGSC). The primary objectives of this study are to (1) evaluate model generalization to new geographic extents and topographic maps and (2) to assess the impact of training sample size, or the number of manually interpreted topographic maps, on model performance. Using data from the state of Kentucky, our findings suggest that DL semantic segmentation can detect surface mine disturbance features from topographic maps with a high level of accuracy (Dice coefficient = 0.902) and relatively balanced omission and commission error rates (Precision = 0.891, Recall = 0.917). When the model is applied to new topographic maps in Ohio and Virginia to assess generalization, model performance decreases; however, performance is still strong (Ohio Dice coefficient = 0.837 and Virginia Dice coefficient = 0.763). Further, when reducing the number of topographic maps used to derive training image chips from 84 to 15, model performance was only slightly reduced, suggesting that models that generalize well to new data and geographic extents may not require a large training set. We suggest the incorporation of DL semantic segmentation methods into applied workflows to decrease manual digitizing labor requirements and call for additional research associated with applying semantic segmentation methods to alternative cartographic representations to supplement research focused on multispectral image analysis and classification.

In 1787, the U.S. Congress authorized the sale of the "Ohio Company Purchase", ca. 5000 km2 in Appalachian Ohio. The land was surveyed using a township and range system shortly thereafter. Data on >5600 witness trees were transcribed from the survey records, and witness tree locations were plotted on a digital map. This information was used to evaluate presettlement forest composition and structure and to investigate vegetation-site relationships before widespread alteration of the forests had taken place. Presettlement conditions were compared with present conditions using forest inventory and analysis (FIA) data. Two hundred years ago, the forests of southeastern Ohio were dominated by large individuals of Quercus alba L., Carya Nutt. spp., Quercus velutina Lam., and Fagus grandifolia Ehrh. These four taxa accounted for 74% of all witness trees. Although almost 70% of the region is forested today, the second-growth forest has witnessed a decrease in Quercus and Carya and an increase in Acer saccharum Marsh., Acer rubrum L., and many early successional species in smaller size classes. Despite the significant shift in forest composition and structure, species in general seem to be occupying similar positions in the present-day landscape compared with the presettlement forest; topographic variables most strongly control species occurrence in this landscape.

Background:Health-Related Quality of Life (HRQoL) periphrastically has a significant impact on oral health. A recent study has shown the significant facts of the oral health-related quality of life based on many factors such as individual, social status, household management, daily habits, and local factors. The differences in the oral health status possibly occur in between countries, different regions, and topographical areas frequently and indirectly contributing to oral health status.Objective:The objective is to evaluate the difference of Oral Health-Related Quality of Life (OHRQoL) and to assess the main affected dimension between rural and urban areas in Kutai Kartanegara Regency.Methods:This study uses pilot pathfinder design. The respondents comprised of 214 adults who were elder than 18 years and were randomly selected from urban and rural areas in Kutai Kartanegara Regency, Indonesia. The data were collected by 103 samples from the rural area and 111 respondents from the urban area. Oral Health Impacts Profile (OHIP-14) has been translated to Bahasa (Indonesia version). OHIP-14 was used to assess the subjects’ oral health-related impact. Shapiro-Wilk and Mann Whitney tests were used to analyze the data, andp-value was set atP< 0.05.Results:The mean OHIP scores in the urban and the rural areas were 25.4 and 28.8, respectively. The overall OHIP-14 score showed a significant statistical differenceP= 0,009 (P< 0.05) between rural and urban area.Conclusion:This study illustrates that oral health-related quality of life in the urban area is better than in the rural area. Physical pain components of the OHRQoL are the major oral problems associated with both the areas.

Public Land Survey System (PLSS) data collected in 1802 and 1803 were analyzed to evaluate the impacts of anthropogenic fire on pre-Euro-American settlement plant communities within a 50,193 ha (194-square-mile) study area east of what is now Dayton, Ohio. Surveyor data were converted to digital point, line, and polygon files using ArcMap software and mapped with some interpolation based on contemporary GIS data layers including topography, soil moisture, soil type, and Quaternary geology. Sixty-one percent of the study area was covered with woody and non-woody plant communities that are known to be shaped and/or maintained by long-term exposure to surface fires of varying intensities and frequencies: oak-hickory forest, oak woodland, oak savanna, oak barrens, and mesic prairie. Prairies and barrens were concentrated adjacent to the corridors of the Mad River and the Little Miami River and their major tributaries, while oak woodlands were concentrated in adjacent uplands. Oak-sugar maple forest covered an additional 29% of the study area, a community that was interpreted to be pyrophilic oak forest transitioning to mesophytic/ pyrophobic forest in the long-term absence of fire.

Over the past decade a number of scholars have examined the rise of the mass production and distribution of goods, and the concurrent emergence of a nineteenth- and twentieth-century consumer society or ‘culture of consumption’. This body of work has featured the department store prominently in several roles: as a venue for the distribution of consumer goods; as a material fantasyland in which women were encouraged to play out their dreams of conspicuous consumption; and as a place of white-collar employment for working-class clerks. Whatever their focus, these accounts generally view all department stores as homogeneous middle-class institutions, located in a similarly consistent ‘downtown’ in any (and all) large American and European cities. There are serious flaws in such a portrayal. Very real distinctions between department stores in a given city and the social implications of these differences in terms of social status and class are not addressed. Further, the contribution of the built environment and urban topography to the shaping of these status and class distinctions and, ultimately, women's shopping experience, is likewise overlooked. This article examines a set of surveys and marketing reports prepared in 1932 for the Higbee Company of Cleveland, Ohio, in order to situate more precisely one department store within its urban context. These sources document the relationship of the Higbee Company to the city's other department stores and in so doing reveal some of the ways in which stratification between and among classes was interpreted in terms of geographical and social space. Examination of the hierarchy of stores that existed in what was at the time the nation's sixth largest city provides a corrective to the image of the department store as a homogeneous democratic phenomenon, and thus provides an invaluable basis for a reinterpretation of the department store as an urban institution in early twentieth- century America.

Slow-moving, chronically destructive landslides are projected to grow in number globally in response to precipitation increases from climate change, and land disturbances from wildfire, mining, and construction. In the Cincinnati and northern Kentucky metropolitan area, USA, landslides develop in colluvium that covers the steep slopes along the Ohio River and its tributaries. Here we quantify elevation changes in a slow-moving colluvial landslide over 14 years using county-wide lidar, uncrewed aerial vehicle (UAV) structure from motion (SfM) surveys, and a UAV lidar survey. Because the technology and quality differ among surveys, the challenge was to calculate a threshold of detectable change for each survey combination. We introduce two methods, the first uses propagated elevation difference errors, and the second back-calculates the individual survey errors. Thresholds of detection range from ± 0.05 to ± 0.20 m. Record rainfall in 2011 produced the largest vertical changes. Since then, the landslide toe has continued to deform, and the landslide has doubled its width by extending into a previously undisturbed slope. While this study presents a technique to utilize older datasets in combination with modern surveys to monitor slow-moving landslides, it is broadly applicable to other studies where topographic data of differing quality is available.

The Flatwoods region of Owen and Monroe Counties, Indiana is an archetype of late Quaternary history of the southern Midwest. We compile decades of field observations and sampling, including soil cores, a deep test hole, and hundreds of water well, seismic, and other data sources, to construct a detailed Quaternary stratigraphy and geomorphic history of the region, including a model of the preglacial bedrock topography. Optically stimulated luminescence (OSL) techniques provide the first numerical ages of the sediments and reveal the Illinois Episode glacier advanced into the region between 111-175 ka. Gray, calcareous Illinois Episode sediments dominate the valley fill, but highly weathered red glaciogenic sediments in the eastern part of the region may be related to a pre-Illinois Episode glacial event. Fine-grained stratified lake sediments indicate the southwestward draining bedrock valley was flooded as glacial ice entered the drainage basin. Sandy outwash covers the lake sediment marking the advance of glacier ice that ultimately crossed the basin and deposited till. Till is found in several ice-marginal ridges interpreted to be moraines marking the glacial limit. The Flatwoods valley routed water to the east end of the region where it spilled over one or more cols into Raccoon Creek, then continued toward the Ohio River in a glacial drainage system developed along the glacier margin. The Sangamon Geosol is a pervasive soil stratigraphic unit developed into Illinois Episode sediments, eroded only in modern stream valleys. The Geosol is well expressed morphologically, noted mostly by deep leaching of carbonates, red colors, and weathered mineralogy. Wisconsin Episode glaciation is represented by eolian sediments, including a thin increment of silty sediment incorporated into the upper solum of the Sangamon Geosol. Windblown Peoria Loess, deposited between ~27-16 ka, blankets the entire Flatwoods region, with greatest thicknesses preserved on flat lake or outwash plain landforms. Supplemental DataGeodatabase: The geodatabase includes locations of water-well records, borehole and outcrop sites, geophysical (gamma-ray) logs, refraction seismic surveys, passive seismic (horizontal-to-vertical spectral ratio [HVSR]) surveys, and data from the geological literature.Metadata: FGDC-compliant metadata for geodatabase.Data: Analytical data and other geological information include: a downhole geophysical (gamma-ray); data from the 2019 test hole, including clay mineralogy, core photographs, a downhole gamma-ray log, and particle size analysis; Indiana Geological and Water Survey (IGWS) archive data, which is comprised of borehole descriptions; a copy of Jacobs' (1994) Ph.D. dissertation; scanned profile description sheets and core stratigraphy from Jacobs (1994); and supplementary optically stimulated luminescence (OSL) data.ReadMe: Detailed file directory explaination of items within each of the supplemental data item ZIP files.