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Since the birth of photography, photographers have been taking images of the earth from the air - with spectacular visual results. Celebrating over 150 years of these incredible images, this book tells the fascinating story of how these pictures were created and the photographers that have propelled image-taking to bold new heights. Taking advantage of the amazing sense of perspective that aerial photography offers, this incredible collection of images also offers a unique overview of the events, challenges, and changes of the past 150 years of human history.

To Midwesterners tucked into small towns or farms early in the twentieth century, the landscape of the American heartland reached the horizon-and then imagination had to provide what lay beyond. But when aviation took off and scenes of the Midwest were no longer earthbound, the Midwestern landscape was transformed and with it, Jason Weems suggests in this book, the very idea of the Midwest itself. Barnstorming the Prairiesoffers a panoramic vista of the transformative nature and power of the aerial vision that remade the Midwest in the wake of the airplane. This new perspective from above enabled Americans to conceptualize the region as something other than isolated and unchanging, and to see it instead as a dynamic space where people worked to harmonize the core traditions of America's agrarian character with the more abstract forms of twentieth-century modernity. In the maps and aerial survey photography of the Midwest, as well as the painting, cinema, animation, and suburban landscapes that arose through flight, Weems also finds a different and provocative view of modernity in the making. In representations of the Midwest, from Grant Wood's iconic images to the Prairie style of Frank Lloyd Wright to the design of greenbelt suburbs, Weems reveals aerial vision's fundamental contribution to regional identity-to Midwesternness as we understand it. Reading comparatively across these images, Weems explores how the cognitive and perceptual practices of aerial vision helped to resymbolize the Midwestern landscape amid the technological change and social uncertainty of the early twentieth century.

Striking aerial views of war, and of the scarred landscapes of its aftermath are the focus of this unique and multidisciplinary book. For the first time, the history, significance, and technology of military aerial photography are brought together and explored by military historians, archaeologists, and anthropologists. This new approach opens the door to a modern reassessment of military aerial imagery, reveals the concepts and philosophies that guided their production and interpretation, an.

Aerial imagery from the 1980s is used to calculate ice mass loss around the entire Greenland Ice Sheet from 1900 to the present; during the twentieth century the Greenland Ice Sheet contributed at least 25.0 ± 9.4 millimetres of global-mean sea level rise. Twentieth century Greenland ice loss The Greenland Ice Sheet (GIS) is losing mass at an accelerating rate, contributing to global sea level rise. But are the present rates unusual, compared to twentieth-century variability? It has been difficult to answer this question because of the shortage of observations before the late twentieth century. Kurt Kjær and colleagues address this data gap by analysing a collection of aerial photographs taken in the 1980s. The photos reveal both the maximum extent of the ice at the end of the Little Ice Age — from trimlines — and its position at the time the images were taken. The change is inferred by the difference. Incorporating this work with modern observations and models, the authors show that the Greenland Ice Sheet lost mass over the entire twentieth century, but that the recent rate of loss is more than double the earlier rates. Most of the accelerated loss has been caused by changes in surface mass balance, rather than through changes in the way the ice sheet is moving, which has remained approximately constant. The response of the Greenland Ice Sheet (GIS) to changes in temperature during the twentieth century remains contentious 1 , largely owing to difficulties in estimating the spatial and temporal distribution of ice mass changes before 1992, when Greenland-wide observations first became available 2 . The only previous estimates of change during the twentieth century are based on empirical modelling 3 , 4 , 5 and energy balance modelling 6 , 7 . Consequently, no observation-based estimates of the contribution from the GIS to the global-mean sea level budget before 1990 are included in the Fifth Assessment Report of the Intergovernmental Panel on Climate Change 8 . Here we calculate spatial ice mass loss around the entire GIS from 1900 to the present using aerial imagery from the 1980s. This allows accurate high-resolution mapping of geomorphic features related to the maximum extent of the GIS during the Little Ice Age 9 at the end of the nineteenth century. We estimate the total ice mass loss and its spatial distribution for three periods: 1900–1983 (75.1 ± 29.4 gigatonnes per year), 1983–2003 (73.8 ± 40.5 gigatonnes per year), and 2003–2010 (186.4 ± 18.9 gigatonnes per year). Furthermore, using two surface mass balance models 10 , 11 we partition the mass balance into a term for surface mass balance (that is, total precipitation minus total sublimation minus runoff) and a dynamic term. We find that many areas currently undergoing change are identical to those that experienced considerable thinning throughout the twentieth century. We also reveal that the surface mass balance term shows a considerable decrease since 2003, whereas the dynamic term is constant over the past 110 years. Overall, our observation-based findings show that during the twentieth century the GIS contributed at least 25.0 ± 9.4 millimetres of global-mean sea level rise. Our result will help to close the twentieth-century sea level budget, which remains crucial for evaluating the reliability of models used to predict global sea level rise 1 , 8 .

An animal's body condition will affect its survival and reproductive success, which influences population dynamics. Despite its importance, relatively little is known about the body condition of large whales and its relationship to reproduction. We assessed the body condition of humpback whales (Megaptera novaeangliae) at a breeding/resting ground from aerial photographs recorded using an unmanned aerial vehicle (UAV). Photogrammetry methods were used to measure the surface area of individual whales, which was used as an index for body condition. Repeated measurements of the same individuals were not possible; hence, this study represents a cross‐sectional sample of the population. Intraseasonal changes in the body condition of four reproductive classes (calves, immature, mature, and lactating) were investigated to infer the relative energetic cost that each class faces during the breeding season. To better understand the costs of reproduction, we investigated the relationship between female body condition (FBC) and the linear growth and body condition of their dependent calves (CBC). We documented a linear decline in the body condition of mature whales (0.027 m2/d; n = 20) and lactating females (0.032 m2/d; n = 31) throughout the breeding season, while there was no change in body condition of immature whales (n = 51) and calves (n = 32). The significant decline in mature and lactating female's body condition implies substantial energetic costs for these reproductive classes. In support of this, we found a positive linear relationship between FBC and CBC. This suggests that females in poorer body condition may not have sufficient energy stores to invest as much energy into their offspring as better conditioned females without jeopardizing their own body condition and survival probability. Measurement precision was investigated from repeated measurements of the same animals both from the same and different photographs, and by looking at residual errors in relation to the positioning of the whales in the photographs. The resulting errors were included in a sensitivity analysis to demonstrate that model parameters were robust to measurement errors. Our findings provide strong support for the use of UAVs as a noninvasive tool to measure the body condition of whales and other mammals.

Accurate subsidence inventory data, based on an understanding of local topography, are a crucial first step toward reliable subsidence prediction and mapping future subsidence hazards. However, conventional, human-based methods of surveying and mapping subsidence suffer from data omissions and errors due to problems regarding accessibility, safety, and manual digitization. This study employed unmanned aerial vehicle photogrammetry to compile an accurate subsidence inventory map of abandoned mine areas. A Phantom 2 Vision+ drone was used, which is inexpensive yet appropriate for detailed topographic surveying of small-sized mine sites with a history of subsidence. An autonomous flight plan was designed, taking into account the extent of target mapping areas. A series of 29 aerial photographs were obtained within 2 min; digitally georeferenced orthoimage and digital terrain model (DTM) with 5 cm resolution could be obtained by processing with coordinate information of pre-installed ground control points (GCPs) within 30 min. sinkhole-type subsidence, including locational information, was identified from the geocoded high-resolution orthoimage and the DTM, and its area and volume were calculated to be 427 m 2 and 2323 m 3 (length 25 m, width 23 m, depth 9.1 m), respectively, from its modeled shape. Contour lines (10 cm interval), slope, and curvature were produced using the DTM. Validation using the GCP locations showed an error of approximately 14 cm in the generated DTM, which was considered acceptable for subsidence mapping purposes. The proposed approach enables accurate, rapid, low-cost, and safe surveying and mapping, which complements conventional surveying methods at sites of mining subsidence.

Many previous modelling studies have considered storm-tide and riverine flooding independently, even though joint-probability analysis highlighted significant dependence between extreme rainfall and extreme storm surges in estuarine environments. This study investigates compound flooding by quantifying horizontal and vertical differences in coastal flood risk estimates resulting from a separation of storm-tide and riverine flooding processes. We used an open-source version of the Delft3D model to simulate flood extent and inundation depth due to a storm event that occurred in June 2016 in the Shoalhaven Estuary, south-eastern Australia. Time series of observed water levels and discharge measurements are used to force model boundaries, whereas observational data such as satellite imagery, aerial photographs, tidal gauges and water level logger measurements are used to validate modelling results. The comparison of simulation results including and excluding riverine discharge demonstrated large differences in modelled flood extents and inundation depths. A flood risk assessment accounting only for storm-tide flooding would have underestimated the flood extent of the June 2016 storm event by 30 % (20.5 km2). Furthermore, inundation depths would have been underestimated on average by 0.34 m and by up to 1.5 m locally. We recommend considering storm-tide and riverine flooding processes jointly in estuaries with large catchment areas, which are known to have a quick response time to extreme rainfall. In addition, comparison of different boundary set-ups at the intermittent entrance in Shoalhaven Heads indicated that a permanent opening, in order to reduce exposure to riverine flooding, would increase tidal range and exposure to both storm-tide flooding and wave action.