Bad Weather
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There S No Such Thing As Bad Weather
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Author : Linda Åkeson McGurk
language : en
Publisher: Simon and Schuster
Release Date : 2017-10-03
There S No Such Thing As Bad Weather written by Linda Åkeson McGurk and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-03 with Family & Relationships categories.
Bringing Up Bébé meets Last Child in the Woods in this “fascinating exploration of the importance of the outdoors to childhood development” (Kirkus Reviews) from a Swedish-American mother who sets out to discover if the nature-centric parenting philosophy of her native Scandinavia holds the key to healthier, happier lives for her American children. Could the Scandinavian philosophy of “There’s no such thing as bad weather, only bad clothes” hold the key to happier, healthier lives for American children? When Swedish-born Linda Åkeson McGurk moved to Indiana, she quickly learned that the nature-centric parenting philosophies of her native Scandinavia were not the norm. In Sweden, children play outdoors year-round, regardless of the weather, and letting babies nap outside in freezing temperatures is common and recommended by physicians. Preschoolers spend their days climbing trees, catching frogs, and learning to compost, and environmental education is a key part of the public-school curriculum. In the US, McGurk found the playgrounds deserted, and preschoolers were getting drilled on academics with little time for free play in nature. And when a swimming outing at a nearby creek ended with a fine from a park officer, McGurk realized that the parenting philosophies of her native country and her adopted homeland were worlds apart. Struggling to decide what was best for her family, McGurk embarked on a six-month journey to Sweden with her two daughters to see how their lives would change in a place where spending time in nature is considered essential to a good childhood. Insightful and lively, There’s No Such Thing as Bad Weather is a fascinating personal narrative that illustrates how Scandinavian culture could hold the key to raising healthy, resilient, and confident children in America.
Bad Weather Good Weather
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Author : Pierre Latour
language : en
Publisher:
Release Date : 2004
Bad Weather Good Weather written by Pierre Latour and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Readers (Primary) categories.
Different people have different points of view on the weather.Text type: Discussion
Combating Bad Weather Part I
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Author : Sudipta Mukhopadhyay
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
Combating Bad Weather Part I written by Sudipta Mukhopadhyay and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Technology & Engineering categories.
Current vision systems are designed to perform in normal weather condition. However, no one can escape from severe weather conditions. Bad weather reduces scene contrast and visibility, which results in degradation in the performance of various computer vision algorithms such as object tracking, segmentation and recognition. Thus, current vision systems must include some mechanisms that enable them to perform up to the mark in bad weather conditions such as rain and fog. Rain causes the spatial and temporal intensity variations in images or video frames. These intensity changes are due to the random distribution and high velocities of the raindrops. Fog causes low contrast and whiteness in the image and leads to a shift in the color. This book has studied rain and fog from the perspective of vision. The book has two main goals: 1) removal of rain from videos captured by a moving and static camera, 2) removal of the fog from images and videos captured by a moving single uncalibrated camera system. The book begins with a literature survey. Pros and cons of the selected prior art algorithms are described, and a general framework for the development of an efficient rain removal algorithm is explored. Temporal and spatiotemporal properties of rain pixels are analyzed and using these properties, two rain removal algorithms for the videos captured by a static camera are developed. For the removal of rain, temporal and spatiotemporal algorithms require fewer numbers of consecutive frames which reduces buffer size and delay. These algorithms do not assume the shape, size and velocity of raindrops which make it robust to different rain conditions (i.e., heavy rain, light rain and moderate rain). In a practical situation, there is no ground truth available for rain video. Thus, no reference quality metric is very useful in measuring the efficacy of the rain removal algorithms. Temporal variance and spatiotemporal variance are presented in this book as no reference quality metrics. An efficient rain removal algorithm using meteorological properties of rain is developed. The relation among the orientation of the raindrops, wind velocity and terminal velocity is established. This relation is used in the estimation of shape-based features of the raindrop. Meteorological property-based features helped to discriminate the rain and non-rain pixels. Most of the prior art algorithms are designed for the videos captured by a static camera. The use of global motion compensation with all rain removal algorithms designed for videos captured by static camera results in better accuracy for videos captured by moving camera. Qualitative and quantitative results confirm that probabilistic temporal, spatiotemporal and meteorological algorithms outperformed other prior art algorithms in terms of the perceptual quality, buffer size, execution delay and system cost. The work presented in this book can find wide application in entertainment industries, transportation, tracking and consumer electronics. Table of Contents: Acknowledgments / Introduction / Analysis of Rain / Dataset and Performance Metrics / Important Rain Detection Algorithms / Probabilistic Approach for Detection and Removal of Rain / Impact of Camera Motion on Detection of Rain / Meteorological Approach for Detection and Removal of Rain from Videos / Conclusion and Scope of Future Work / Bibliography / Authors' Biographies
Bad Weather
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Author : Michael Fish
language : en
Publisher:
Release Date : 2014
Bad Weather written by Michael Fish and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Documentary photography categories.
Martin Parr's Bad Weather is the debut book from Britain's most world-renown and prolific photographers. Armed with wry humor (and a water-proof camera), Parr captured the social landscape of the UK during downpours, snow storms and the most challenging elements. Published in 1982, Bad Weather has been long out of print and is one of Parr's most sought after books. Books on Books # 17 offers an in-depth study of this important photobook including a new essay by Thomas Weski called Even the Queen Gets Wet.--Publisher.
I Love Bad Weather Days
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Author : Brenda Lee Thomas
language : en
Publisher: AuthorHouse
Release Date : 2014-05-01
I Love Bad Weather Days written by Brenda Lee Thomas and has been published by AuthorHouse this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-01 with Education categories.
This book is a great read for children 3-12 years of age. There are fun activities that will keep children busy while learning about the weather. The children will get information about Hurricanes, Tornadoes, Cold Winter Days and extra Hot Days. The children will learn how to be helpful to their parents, siblings, elders and others in need of assistance. They will learn how to be prepared by knowing what to pack during an evacuation and how to remain calm. This book is also school friendly; it has a Lesson Plan, Group Activity, Parent and Child Activity, Poem and Song. This is a book the whole family and school can use to learn and have fun.
The Complete Idiot S Guide To Extreme Weather
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Author : Christopher Passante
language : en
Publisher: Penguin
Release Date : 2006-09-13
The Complete Idiot S Guide To Extreme Weather written by Christopher Passante and has been published by Penguin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-13 with Science categories.
It'll blow readers away. CD-ROM included! The past few years have delivered some of the most awesome and destructive weather patterns in history. From blistering heat and icy blasts, to hurricane winds and the Greenhouse Effect, The Compete Idiot's Guide® to Extreme Weather enables readers to experience the incredible ferocity of big, bad weather without getting soaked, wind-tossed, thunderstruck, or frozen. And with the CD-ROM that accompanies the book, they'll learn what it's like to be a real- life storm tracker. * Includes a CD-ROM that explores extreme weather in all its frightening glory * Features a listing of record-book extremes, from the worst storms in history to the wettest, hottest, coldest, driest, and snowiest places on Earth
The Extreme Weather Survival Manual
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Author : Dennis Mersereau
language : en
Publisher: Weldon Owen International
Release Date : 2015-10-06
The Extreme Weather Survival Manual written by Dennis Mersereau and has been published by Weldon Owen International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-06 with Nature categories.
Fast facts and practical advice to keep you prepared, whether you’re dealing with mud or flood, drought or derecho. This valuable, comprehensive guide is full of life-saving information for virtually any extreme weather event—blizzard, hurricane, firestorm, tornado, heatwave, and beyond. Weather reporter Dennis Mersereau, working with the editors of Outdoor Life magazine, debunks common myths, provides hands-on survival tips (some of them literally hands-on—as in, don’t lose your fingers to frostbite), and shares some fascinating historical facts and world records. Learn how to: Read a weather map Survive in a snowbound car Stay oriented in a whiteout Make waterproof matches Avoid lightning hot spots Rescue someone caught in a flood Know your monsoons Survive a sandstorm Make peace with the polar vortex Drought-proof your home and much more “Don’t mess with the Mersereau. He will find your weather fables and he will crush them…We need more Dennises. In fact, the National Weather Service itself should be run by Dennis, with each local office headed by a Dennis-like weather blogger tasked with explaining the relevant weather news of the day, and entertaining us when the weather is boring.”—Slate
Extreme Weather For Kids
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Author : Matthew Cappucci
language : en
Publisher: Quarry Books
Release Date : 2024-03-26
Extreme Weather For Kids written by Matthew Cappucci and has been published by Quarry Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-26 with Juvenile Nonfiction categories.
Extreme Weather for Kids is a whirlwind ride through the wild world of weather, written in accessible language and complemented by vivid descriptions and imagery. Designed to harness children’s natural curiosity, this action-packed introduction to meteorology incorporates firsthand accounts from inside Mother Nature’s most dramatic moments. For each phenomenon introduced, explanatory text, informative illustrations, sidebars, and asides allow readers to explore at their own pace. Along with storm-chasing reports and photos from in the field, each chapter includes a step-by-step hands-on activity for engaging with the science. What is the polar vortex? And why does a disrupted “polar vortex” lead to extreme cold air outbreaks across Europe, Asia, and North America? Among the many “in case you were wondering” questions addressed: How strong can a hurricane get? What’s the biggest tornado to have ever happened? How large can hail get? Is “thundersnow” real? How does it form? How thick is lightning? And how powerful is it? Where can I find “fossilized lightning?” Can it snow in the dessert? What are “solar storms?” What makes the northern (and southern) lights? Weather is one of the most accessible sciences there is. Everyone experiences it in some way or another, and learning the basics behind it naturally sparks interest in other sciences. That’s why Extreme Weather for Kids also teaches the basic principles of scientific observation, while placing a key emphasis on safety. Extreme Weather for Kids is sure to awaken the joy of learning—rain or shine.
Combating Bad Weather Part Ii
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Author : Sudipta Mukhopadhyay
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Combating Bad Weather Part Ii written by Sudipta Mukhopadhyay and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Technology & Engineering categories.
Every year lives and properties are lost in road accidents. About one-fourth of these accidents are due to low vision in foggy weather. At present, there is no algorithm that is specifically designed for the removal of fog from videos. Application of a single-image fog removal algorithm over each video frame is a time-consuming and costly affair. It is demonstrated that with the intelligent use of temporal redundancy, fog removal algorithms designed for a single image can be extended to the real-time video application. Results confirm that the presented framework used for the extension of the fog removal algorithms for images to videos can reduce the complexity to a great extent with no loss of perceptual quality. This paves the way for the real-life application of the video fog removal algorithm. In order to remove fog, an efficient fog removal algorithm using anisotropic diffusion is developed. The presented fog removal algorithm uses new dark channel assumption and anisotropic diffusion for the initialization and refinement of the airlight map, respectively. Use of anisotropic diffusion helps to estimate the better airlight map estimation. The said fog removal algorithm requires a single image captured by uncalibrated camera system. The anisotropic diffusion-based fog removal algorithm can be applied in both RGB and HSI color space. This book shows that the use of HSI color space reduces the complexity further. The said fog removal algorithm requires pre- and post-processing steps for the better restoration of the foggy image. These pre- and post-processing steps have either data-driven or constant parameters that avoid the user intervention. Presented fog removal algorithm is independent of the intensity of the fog, thus even in the case of the heavy fog presented algorithm performs well. Qualitative and quantitative results confirm that the presented fog removal algorithm outperformed previous algorithms in terms of perceptual quality, color fidelity and execution time. The work presented in this book can find wide application in entertainment industries, transportation, tracking and consumer electronics.
Combating Bad Weather Part I
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Author : Sudipta Mukhopadhyay
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2014-12-01
Combating Bad Weather Part I written by Sudipta Mukhopadhyay and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-01 with Technology & Engineering categories.
Current vision systems are designed to perform in normal weather condition. However, no one can escape from severe weather conditions. Bad weather reduces scene contrast and visibility, which results in degradation in the performance of various computer vision algorithms such as object tracking, segmentation and recognition. Thus, current vision systems must include some mechanisms that enable them to perform up to the mark in bad weather conditions such as rain and fog. Rain causes the spatial and temporal intensity variations in images or video frames. These intensity changes are due to the random distribution and high velocities of the raindrops. Fog causes low contrast and whiteness in the image and leads to a shift in the color. This book has studied rain and fog from the perspective of vision. The book has two main goals: 1) removal of rain from videos captured by a moving and static camera, 2) removal of the fog from images and videos captured by a moving single uncalibrated camera system. The book begins with a literature survey. Pros and cons of the selected prior art algorithms are described, and a general framework for the development of an efficient rain removal algorithm is explored. Temporal and spatiotemporal properties of rain pixels are analyzed and using these properties, two rain removal algorithms for the videos captured by a static camera are developed. For the removal of rain, temporal and spatiotemporal algorithms require fewer numbers of consecutive frames which reduces buffer size and delay. These algorithms do not assume the shape, size and velocity of raindrops which make it robust to different rain conditions (i.e., heavy rain, light rain and moderate rain). In a practical situation, there is no ground truth available for rain video. Thus, no reference quality metric is very useful in measuring the efficacy of the rain removal algorithms. Temporal variance and spatiotemporal variance are presented in this book as no reference quality metrics. An efficient rain removal algorithm using meteorological properties of rain is developed. The relation among the orientation of the raindrops, wind velocity and terminal velocity is established. This relation is used in the estimation of shape-based features of the raindrop. Meteorological property-based features helped to discriminate the rain and non-rain pixels. Most of the prior art algorithms are designed for the videos captured by a static camera. The use of global motion compensation with all rain removal algorithms designed for videos captured by static camera results in better accuracy for videos captured by moving camera. Qualitative and quantitative results confirm that probabilistic temporal, spatiotemporal and meteorological algorithms outperformed other prior art algorithms in terms of the perceptual quality, buffer size, execution delay and system cost. The work presented in this book can find wide application in entertainment industries, transportation, tracking and consumer electronics. Table of Contents: Acknowledgments / Introduction / Analysis of Rain / Dataset and Performance Metrics / Important Rain Detection Algorithms / Probabilistic Approach for Detection and Removal of Rain / Impact of Camera Motion on Detection of Rain / Meteorological Approach for Detection and Removal of Rain from Videos / Conclusion and Scope of Future Work / Bibliography / Authors' Biographies
