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"Night photography United States."
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Dark city
'Dark city' is a natural sequel to Lynn Saville's colour photographs in Night/Shift (Monacelli, 2009). Her work in that book made her, in the words of Arthur C. Danto, \"the Atget of vanishing New York, prowling her city at the other end of the day, picking up pieces of the past in the present, just before it is swallowed in shadows.\" This book is a further exploration of the urban landscape at dusk and dawn, with a new focus on the effects of the recent economic turmoil on New York and other American cities. Shuttered stores and empty lots in city centers and fringe areas alike reveal a haunting and disquieting beauty. Occasionally, a person or the artist herself is visible as a ghosted image or shadow. Photographs in 'Dark city' also counter-balance signs of loss with a more optimistic message. They reveal a natural cycle of decay and rebirth in urban ecology, as objects such as ladders and brooms signal that the work of renewal is under way. 'Dark city' is ultimately a dynamic and ongoing dialogue between defined place and empty space that will fascinate general readers and urban specialists alike.
Book
Where have all the people gone? Enhancing global conservation using night lights and social media
Conservation prioritization at large scales is complex, combining biological, environmental, and social factors. While conservation scientists now more often aim to incorporate human-related factors, a critical yet unquantified challenge remains: to identify which areas people use for recreation outside urban centers. To address this gap in applied ecology and conservation, we developed a novel approach for quantifying human presence beyond populated areas by combining social media \"big data\" and remote sensing tools. We used data from the Flickr photo-sharing website as a surrogate for identifying spatial variation in visitation globally, and complemented this estimate with spatially explicit information on stable night lights between 2004 and 2012, used as a proxy for identifying urban and industrial centers. Natural and seminatural areas attracting visitors were defined as areas both highly photographed and non-lit. The number of Flickr photographers within protected areas was found to be a reliable surrogate for estimating visitor numbers as confirmed by local authority censuses (
r
= 0.8). Half of all visitors' photos taken in protected areas originated from under 1% of all protected areas on Earth (250 of ~27 000). The most photographed protected areas globally included Yosemite and Yellowstone National Parks (USA), and the Lake and Peak Districts (UK). Factors explaining the spatial variation in protected areas Flickr photo coverage included their type (e.g., UNESCO World Heritage sites have higher visitation) and accessibility to roads and trails. Using this approach, we identified photography hotspots, which draw many visitors and are also unlit (i.e., are located outside urban centers), but currently remain largely unprotected, such as Brazil's Pantanal and Bolivia's Salar de Uyuni. The integrated big data approach developed here demonstrates the benefits of combining remote sensing sources and novel geo-tagged and crowd-sourced information from social media in future efforts to identify spatial conservation gaps and pressures in real time, and their spatial and temporal variation globally.
Journal Article
Picture perfect
We say the camera doesn't lie, but we also know that pictures distort and deceive. In Picture Perfect, Kiku Adatto brilliantly examines the use and abuse of images today. Ranging from family albums to Facebook, political campaigns to popular movies, images of war to pictures of protest. Adatto reveals how the line between the person and the pose, the real and the fake, news and entertainment is increasingly blurred. New technologies make it easier than ever to capture, manipulate, and spread images. But even in the age of the Internet, we still seek authentic pictures and believe in the camera's promise to document, witness, and interpret our lives.
eBook
Application of day and night digital photographs for estimating maize biophysical characteristics
In this study, an inexpensive camera-observation system called the Crop Phenology Recording System (CPRS), which consists of a standard digital color camera (RGB cam) and a modified near-infrared (NIR) digital camera (NIR cam), was applied to estimate green leaf area index (LAI), total LAI, green leaf biomass and total dry biomass of stalks and leaves of maize. The CPRS was installed for the 2009 growing season over a rainfed maize field at the University of Nebraska-Lincoln Agricultural Research and Development Center near Mead, NE, USA. The vegetation indices called Visible Atmospherically Resistant Index (VARI) and two green–red–blue (2g–r–b) were calculated from day-time RGB images taken by the standard commercially-available camera. The other vegetation index called Night-time Relative Brightness Index in NIR (NRBINIR) was calculated from night-time flash NIR images taken by the modified digital camera on which a NIR band-pass filter was attached. Sampling inspections were conducted to measure bio-physical parameters of maize in the same experimental field. The vegetation indices were compared with the biophysical parameters for a whole growing season. The VARI was found to accurately estimate green LAI (R2 = 0.99) and green leaf biomass (R2 = 0.98), as well as track seasonal changes in maize green vegetation fraction. The 2g–r–b was able to accurately estimate total LAI (R2 = 0.97). The NRBINIR showed the highest accuracy in estimation of the total dry biomass weight of the stalks and leaves (R2 = 0.99). The results show that the camera-observation system has potential for the remote assessment of maize biophysical parameters at low cost.
Journal Article