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Internationally renowned photographer Lucian Niemeyer and National Park Service historian Art G?mez have combined talents in a new presentation on New Mexico. Niemeyer's more than 150 color photographs encompass the entire state throughout the seasons presenting New Mexico's people, cultures, and magnificent scenery at the millennium. G?mez's sweeping history views the state in terms of corridors, geographic as well as cultural. New Mexico's mountains, deserts, and rivers form natural corridors that migrating birds and animals have traditionally used for survival. Navigating these same corridors across the state, human cultures of Paleo, Plains and Pueblo Indians, Hispanos, and Anglos forged viable communities on the astringent New Mexican landscape. Pueblo ancestors migrated from austere environments throughout the Southwest to more inviting surroundings on the Rio Grande. Plains Indians from the north and Hispano tradesmen from the south converged via the Camino Real. American settlers migrated west along the Santa Fe Trail, the southernmost corridor around the formidable Rocky Mountains. Improved transportation such as the railroad and later Route 66, precursors to the interstate highway system, annually lured new inhabitants to this compelling land called New Mexico.
In 1954, a tiny children's park inspired by a collection of storybook dolls opened in the quiet village of Glen; and, through a unique combination of independent innovation and regional cooperation, Story Land has continually grown for more than 50 years through the economic and cultural changes that undermined many other amusement parks. Original.
"A single mother's personal, unflinching look at America's class divide (Barack Obama)," this New York Times bestselling memoir is the inspiration for the Netflix limited series, hailed by Rolling Stone as "a great one." At 28, Stephanie Land's dreams of attending a university and becoming a writer quickly dissolved when a summer fling turned into an unplanned pregnancy. Before long, she found herself a single mother, scraping by as a housekeeper to make ends meet. Maid is an emotionally raw, masterful account of Stephanie's years spent in service to upper middle class America as a "nameless ghost" who quietly shared in her clients' triumphs, tragedies, and deepest secrets. Driven to carve out a better life for her family, she cleaned by day and took online classes by night, writing relentlessly as she worked toward earning a college degree. She wrote of the true stories that weren't being told: of living on food stamps and WIC coupons, of government programs that barely provided housing, of aloof government employees who shamed her for receiving what little assistance she did. Above all else, she wrote about pursuing the myth of the American Dream from the poverty line, all the while slashing through deep-rooted stigmas of the working poor. Maid is Stephanie's story, but it's not hers alone. It is an inspiring testament to the courage, determination, and ultimate strength of the human spirit. "A single mother's personal, unflinching look at America's class divide, a description of the tightrope many families walk just to get by, and a reminder of the dignity of all work." -PRESIDENT BARACK OBAMA, Obama's Summer Reading List
Photography. Native American Studies. Edited by Hulleah J. Tsinhnahjinnie and Veronica Passalacqua. Whether probing personal identity or exploring the world around them, twenty-six indigenous photographers present images that are fresh, provocative, iconoclastic, surprising, and--in the broadest and deepest meaning of the word--authentic. Their works range from the artful studio portraits of Benjamin A. Haldane (Tsimshian), who photographed Native communities throughout southeast Alaska and British Columbia in the late 1800s and early 1900s, to the cutting-edge digital photographs of contemporary Native artists. Their cameras variously capture startled eyes, hidden laughter, misappropriated icons, and neon signs of cultural change.
See the Holy Land locations that are associated with Jesus, all with detailed explanations.
Land O' Lakes, Wisconsin, is surrounded by more freshwater than any small town in America. Originally named State Line because it straddled the border of Wisconsin and upper Michigan, Land O' Lakes quickly became a premier vacation destination because of its wilderness beauty. Resorts built from local timber, like the famous Gateway, attracted celebrities including Dwight Eisenhower and Lawrence Welk. In 1946, Stevens Point-based North Central Airlines inaugurated seasonal flights to Land O' Lakes, complementing railroad service by the Chicago and North Western Railway. The word had spread: for the best north woods entertainment, recreation, and beauty, head to Land O' Lakes, "at the top of Wisconsin." This book features the best images available from the Land O' Lakes Historical Society to depict the region's early pioneers, resorts, and businesses.
The book introduces two domains namely Remote Sensing and Digital Image Processing. It discusses remote sensing, texture, classifiers, and procedures for performing the texture-based segmentation and land cover classification. The first chapter discusses the important terminologies in remote sensing, basics of land cover classification, types of remotely sensed images and their characteristics. The second chapter introduces the texture and a detailed literature survey citing papers related to texture analysis and image processing. The third chapter describes basic texture models for gray level images and multivariate texture models for color or remotely sensed images with relevant Matlab source codes. The fourth chapter focuses on texture-based classification and texture-based segmentation. The Matlab source codes for performing supervised texture based segmentation using basic texture models and minimum distance classifier are listed. The fifth chapter describes supervised and unsupervised classifiers. The experimental results obtained using a basic texture model (Uniform Local Binary Pattern) with the classifiers described earlier are discussed through the relevant Matlab source codes. The sixth chapter describes land cover classification procedure using multivariate (statistical and spectral) texture models and minimum distance classifier with Matlab source codes. A few performance metrics are also explained. The seventh chapter explains how texture based segmentation and land cover classification are performed using the hidden Markov model with relevant Matlab source codes. The eighth chapter gives an overview of spatial data analysis and other existing land cover classification methods. The ninth chapter addresses the research issues and challenges associated with land cover classification using textural approaches. This book is useful for undergraduates in Computer Science and Civil Engineering and postgraduates who plan to do research or project work in digital image processing. The book can serve as a guide to those who narrow down their research to processing remotely sensed images. It addresses a wide range of texture models and classifiers. The book not only guides but aids the reader in implementing the concepts through the Matlab source codes listed. In short, the book will be a valuable resource for growing academicians to gain expertise in their area of specialization and students who aim at gaining in-depth knowledge through practical implementations. The exercises given under texture based segmentation (excluding land cover classification exercises) can serve as lab exercises for the undergraduate students who learn texture based image processing.
Sacramento wasn't always so proud of the area now called Land Park. In fact, due to a notorious roadhouse at Sutterville and Riverside roads, the city took great pains to distance itself from here in the early days, calling the roadhouse and environs a "foul plaguespot" and a "sink of iniquity," and purposely excluding it from city borders! But times change, and the 1911 death of hotelier and philanthropist William Land set the stage for Land Park's remarkable renaissance. A bequest in Land's will directed that some monies be used to find "a recreation spot for the children and a pleasure ground for the poor," and so began the pleasant area of homes, parklands and riverfront paths we know today.