Описание: This book presents an introductory overview of spatial data analysis methods and geoinformation analysis techniques. Each chapter introduces the related theory, explains how to interpret metrics outputs, and provides worked examples using ArcGIS and GeoDa. This is a valuable resource for graduate students and researchers analyzing geospatial data.
Автор: Wang, Peng, Название: Subpixel mapping for remote sensing images / ISBN: 1032229381 ISBN-13(EAN): 9781032229386 Издательство: Taylor&Francis Рейтинг: Цена: 18374.00 р. Наличие на складе: Нет в наличии.
Описание: This book provides a complete overview of subpixel image processing methods, basic principles, and different subpixel mapping techniques based on single or multi-shift remote sensing images. Real-life applications are a great resource for understanding how and where to use subpixel mapping with different remote sensing imaging data.
Автор: Edited By David R. Green, Billy J. Gregory, Alexan Название: Unmanned Aerial Remote Sensing ISBN: 1032474343 ISBN-13(EAN): 9781032474342 Издательство: Taylor&Francis Рейтинг: Цена: 7042.00 р. Наличие на складе: Нет в наличии.
Описание: In response to the rapidly evolving technology and applications UAS technology, this book discusses both UAV and similar systems` platforms and environmental applications. The platforms and sensors provide the setting while the applications chapters are focused on the environment from monitoring to mapping. The book also addresses the constraint
Автор: Hong Название: Remote Sensing and Natural Hazards ISBN: 1119159121 ISBN-13(EAN): 9781119159124 Издательство: Wiley Рейтинг: Цена: 25019.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Every year, natural disasters cause substantial loss of life and livelihoods globally, costing an estimated over $100 billion per year in the form of property loss and mobilization of emergency response personnel and equipment. It is critical to monitor, model and predict the risks of natural hazards in order to save lives, enhance societal resilience to natural hazards, and reduce economic losses. Modern technologies such as remote sensing, geographical information system, and high-performance computation have greatly propelled advances in the studies of natural hazards. Remote sensing, in particular, is a useful and important tool for monitoring, modeling and early warning of natural hazards (e.g. landslides, floods, earthquakes, tornados). Recent advanced methods include but not limited in: optical images, satellite and ground-based SAR, airborne and terrestrial laser scanning, GNSS, hyperspectral imaging and sensor network. With the rapid development of technology, future improvements in resolution, precision, efficiency, accuracy and smartness can be expected.
The overall objectives of this proposed book is to review and summarize the recent progresses in the monitoring, modeling and early warning of natural hazards, including floods, landslides, droughts, hurricanes, wildfires, earthquakes, tornadoes and volcanoes, and collect novel techniques and discover potential applications.
The first section of the book will thus cover the methods and techniques used to monitor, detect and measure the natural hazard events and the means to obtain important informant and data to study nature hazards. The second section will describe the uses of remote sensing technologies to investigate the processes and causes of natural hazards and recent advances in the theories and mechanisms of natural hazards. Last, the third section will introduce the existing operational, early warning and forecasting systems for natural hazards.
This proposed book will include four sections: section one describes the methodologies used to monitor and detect the occurrences of natural hazards; section two summarizes the application of remote sensing technologies in investigating and understanding natural hazards; and section three provides an overview of the existing early warning and forecasting systems for natural hazards. In section one, we will present recent studies and advances that are focused on how to obtain important and necessary data to conduct the studies of natural hazards. In section two, we will compile recent advances in the theories and mechanisms that govern the processes and occurrences of natural hazards. In section three, the topic is shifted to the operational, early warning and forecasting systems for natural hazards.
Автор: Rees Название: Physical Principles of Remote Sensing (2017) ISBN: 052118116X ISBN-13(EAN): 9780521181167 Издательство: Cambridge Academ Рейтинг: Цена: 6599.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covering a wide range of remote sensing techniques and applications, this new edition is now more accessible to students, while retaining its focus on physical and mathematical principles. Chapter summaries, review questions, problem sets and supporting online material allow students to test their understanding and practise handling data for themselves.
Описание: This book examines the theory and methods of remote sensing intelligent interpretation based on deep learning. Based on geological and environmental effects on mines, this book constructs a set of systematic mine remote sensing datasets focusing on the multi-level task with the system of “target detection?scene classification?semantic segmentation." Taking China’s Hubei Province as an example, this book focuses on the following four aspects: 1. Development of a multiscale remote sensing dataset of the mining area, including mine target remote sensing dataset, mine (including non-mine areas) remote sensing scene dataset, and semantic segmentation remote sensing dataset of mining land cover. The three datasets are the basis of intelligent interpretation based on deep learning. 2. Research on mine target remote sensing detection method based on deep learning. 3. Research on remote sensing scene classification method of mine and non-mine areas based on deep learning. 4. Research on the fine-scale classification method of mining land cover based on semantic segmentation. The book is a valuable reference both for scholars, practitioners and as well as graduate students who are interested in mining environment research.
Автор: Suratman Название: Concepts and Applications of Remote Sensing in Forestry ISBN: 9811941998 ISBN-13(EAN): 9789811941993 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This edited book is a collection of information on recent advancements in remote sensing for forestry application. The main focus of this book is to address the novel applications in remote sensing in terms of recent techniques, sensors, methods and data collection. Remote sensing has been used for many decades. Today, remote sensing is heavily utilized in forest management, which is acquired from airborne and space-borne platforms using satellite data. In recent years, there have been rapid advances in the new types of sensors. The new generations of satellite sensors are introduced not only to provide important information on forest ecosystems, but also to improve the techniques and accuracies obtained by the traditional approaches. Researchers have become increasingly aware of the potential of remote sensing to address important forestry issues and challenges. The number of forestry publications using remote sensing has grown very rapidly, and this is noticeable with many recent technologies and applications. This book provides valuable source of reference to foresters, researchers, ecologists, climate change scientists and scholars who use remote sensing in their work. Furthermore, it serves as an academic book for undergraduate and graduate students of forestry, agriculture, natural resources and environmental sciences. The book demonstrates and engages the students how the new advancements in remote sensing technology and theory relate to the many real-world forestry applications. It gives readers deeper understanding on how remote sensing has come a long way and evolved into a mature science in the past five decades.
Описание: This book discusses the problems in planning, building, and management strategies in the wake of application and expansion of remote sensing and GIS products in natural resources and infrastructure management. The book suggests proactive solutions to problems of natural resources and infrastructure management, providing alternatives for strategic planning, effective delivery, and growth perspectives. The uniqueness of the book is its broader spectrum of coverage with related interconnections and interdependences across science, engineering, and innovation. The book contains information that can be downscaled to the local level. Presenting a wide spectrum of viewpoints and approaches, the book is a collective of topics such as application to agriculture and forestry (land and landscape, agriculture, forestry management and deforestation), water resources and ecology (hydro-meteorological, climate diagnostics, and prognostics, water resources management, environment management, cross-scale ecology and resilience), urban management (urban planning, design, construction and operations of infrastructure, natural disasters, novel approaches to upgrade old infrastructure), hydro informatics, predictive and geospatial data analytics, synthesis, and management through the various processes, tools, and technologies.
Автор: Joseph Awange; John Kiema Название: Environmental Geoinformatics ISBN: 3030030164 ISBN-13(EAN): 9783030030162 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This second edition includes updated chapters from the first edition as well as five additional new chapters (Light detection and ranging (LiDAR), CORONA historical de-classified products, Unmanned Aircraft Vehicles (UAVs), GNSS-reflectometry and GNSS applications to climate variability), shifting the main focus from monitoring and management to extreme hydro-climatic and food security challenges and exploiting big data. Since the publication of first edition, much has changed in terms of technology, and the demand for geospatial data has increased with the advent of the big data era. For instance, the use of laser scanning has advanced so much that it is unavoidable in most environmental monitoring tasks, whereas unmanned aircraft vehicles (UAVs)/drones are emerging as efficient tools that address food security issues as well as many other contemporary challenges. Furthermore, global navigation satellite systems (GNSS) are now responding to challenges posed by climate change by unravelling the impacts of teleconnection (e.g., ENSO) as well as advancing the use of reflected signals (GNSS-reflectometry) to monitor, e.g., soil moisture variations. Indeed all these rely on the explosive use of “big data” in many fields of human endeavour.
Moreover, with the ever-increasing global population, intense pressure is being exerted on the Earth’s resources, leading to significant changes in its land cover (e.g., deforestation), diminishing biodiversity and natural habitats, dwindling fresh water supplies, and changing weather and climatic patterns (e.g., global warming, changing sea level). Environmental monitoring techniques that provide information on these are under scrutiny from an increasingly environmentally conscious society that demands the efficient delivery of such information at a minimal cost. Environmental changes vary both spatially and temporally, thereby putting pressure on traditional methods of data acquisition, some of which are highly labour intensive, such as animal tracking for conservation purposes. With these challenges, conventional monitoring techniques, particularly those that record spatial changes call for more sophisticated approaches that deliver the necessary information at an affordable cost. One direction being pursued in the development of such techniques involves environmental geoinformatics, which can act as a stand-alone method or complement traditional methods.
Автор: Prasad Thenkabail et al Название: Remote sensing of global croplands for food security ISBN: 1138116556 ISBN-13(EAN): 9781138116559 Издательство: Taylor&Francis Рейтинг: Цена: 11789.00 р. Наличие на складе: Нет в наличии.
Описание: A complete review of practical mapping technologies based on advanced remote sensing data and methods, this book provides approaches for estimating irrigated and rainfed cropland areas and their water use on a national, continental, or global basis. It offers case studies from a variety of continents highlighting the subtle requirements of each.
Описание: The current volume provides examples of how environmental hazards such as landslides, earthquakes, mountain processes, cold climate processes and tidal flows and currents can affect the energy supply infrastructure.
Автор: Bhupendra Jasani; Martino Pesaresi; Stefan Schneid Название: Remote Sensing from Space ISBN: 9400789459 ISBN-13(EAN): 9789400789456 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is tailored to the scientific community and deals with the application of EO data as well as to project managers and decision makers working in the field of security. Figures and sample images allow a swift grasp of the technical background.
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