Advanced applications in remote sensing of agricultural crops and natural vegetation, Klima, Richard (appalachian State University, Boone, North Carolina, Usa) Klima, Richard E. (appalachian State University, Boone, North Carolina, Usa)
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: Liang, Shunlin Название: Advanced Remote Sensing ISBN: 0128158263 ISBN-13(EAN): 9780128158265 Издательство: Elsevier Science Рейтинг: Цена: 23749.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Advanced Remote Sensing: Terrestrial Information Extraction and Applications, Second Edition, is a thoroughly updated application-based reference that provides a single source on the mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors like RADAR and LIDAR. The book provides scientists in a number of different fields, including geography, geophysics, geology, atmospheric science, environmental science, planetary science and ecology with access to critically-important data extraction techniques and their virtually unlimited applications.
While rigorous enough for the most experienced of scientists, the techniques presented are well designed and integrated, making the book's content intuitive and practical in its implementation.
Описание: This book equips readers to understand how to monitor tsunamis from space with remote sensing technology art to create a better alarm warning system. The innovation in space technologies has generated a new trend for observing and monitoring tsunamis from space. Most tsunami remote sensing studies focus on using classical image processing
Название: Unmanned Aerial Remote Sensing ISBN: 1482246074 ISBN-13(EAN): 9781482246070 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Unmanned Aircraft Systems (UAS) are a rapidly evolving technology with an expanding array of diverse applications. In response to the continuing evolution of this technology, this book discusses unmanned aerial vehicles (UAVs) and similar systems, platforms and sensors, as well as exploring some of their environmental applications. It explains how they can be used for mapping, monitoring, and modeling a wide variety of different environmental aspects, and at the same time addresses some of the current constraints placed on realizing the potential use of the technology such as s flight duration and distance, safety, and the invasion of privacy etc.
Features of the book:
Provides necessary theoretical foundations for pertinent subject matter areas
Introduces the role and value of UAVs for geographical data acquisition, and the ways to acquire and process the data
Provides a synthesis of ongoing research and a focus on the use of technology for small-scale image and spatial data acquisition in an environmental context
Written by experts of the technology who bring together UAS tools and resources for the environmental specialist
Unmanned Aerial Remote Sensing: UAS for Environmental Applications is an excellent resource for any practitioner utilizing remote sensing and other geospatial technologies for environmental applications, such as conservation, research, and planning. Students and academics in information science, environment and natural resources, geosciences, and geography, will likewise find this comprehensive book a useful and informative resource.
Описание: This report examines the scientific basis for the use of remotely sensed data, particularly Normalized Difference Vegetation Index (NDVI), primarily for the assessment of land degradation at different scales and for a range of applications, including resilience of agro-ecosystems.
Описание: Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation.Volume I, Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation introduces the fundamentals of hyperspectral or imaging spectroscopy data, including hyperspectral data processes, sensor systems, spectral libraries, and data mining and analysis, covering both the strengths and limitations of these topics. Volume II, Hyperspectral Indices and Image Classifications for Agriculture and Vegetation evaluates the performance of hyperspectral narrowband or imaging spectroscopy data with specific emphasis on the uses and applications of hyperspectral narrowband vegetation indices in characterizing, modeling, mapping, and monitoring agricultural crops and vegetation. Volume III, Biophysical and Biochemical Characterization and Plant Species Studies demonstrates the methods that are developed and used to study terrestrial vegetation using hyperspectral data. This volume includes extensive discussions on hyperspectral data processing and how to implement data processing mechanisms for specific biophysical and biochemical applications such as crop yield modeling, crop biophysical and biochemical property characterization, and crop moisture assessments. Volume IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications, such as forest manag
Описание: Part of a series of manuals covering the range of applications of remotely sensed imagery, this volume addresses the use of this technology in natural resource management and environmental monitoring. It covers terrestrial ecosystems, aquatic ecosystems, and agriculture ecosystems, as well as future directions in technology and research.
Описание: This volume discusses the use of hyperspectral data in numerous applications such as forest management, precision farming, monitoring invasive species, local to global land cover change detection, crop yield modeling and crop moisture assessment. Also emphasizes the importance of hyperspectral remote sensing tools for studying vegetation.
Описание: Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of-the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation.Volume IV, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation discusses the use of hyperspectral or imaging spectroscopy data in numerous specific and advanced applications, such as forest management, precision farming, managing invasive species, and local to global land cover change detection. It emphasizes the importance of hyperspectral remote sensing tools for studying vegetation processes and functions as well as the appropriate use of hyperspectral data for vegetation management practices. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume IV through the editors’ perspective.Key Features of Volume IV:Guides readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation.Includes specific applications on agriculture, crop management practices, study of crop stress and diseases, crop characteristics based on inputs (e.g., nitrogen, irrigation), study of vegetation impacted by heavy metals, gross and net primary productivity studies, light use efficiency studies, crop water use and actual evapotranspiration studies, phenology monitoring, land use and land cover studies, global change studies, plant species detection, wetland and forest characterization and mapping, crop productivity and crop water productivity mapping, and m
Автор: Prasad S. Thenkabail, John G. Lyon, Alfredo Huete Название: Biophysical and Biochemical Characterization and Plant Species Studies ISBN: 1138364711 ISBN-13(EAN): 9781138364714 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume reviews existing "state-of-art" knowledge, highlights the advances made, and provides guidance for appropriate use of hyperspectral data in applications such as crop yield modeling, crop biophysical and biochemical property characterization, and crop moisture assessment. Includes extensive discussions on data processing mechanisms.
Описание: Evaluating the performance of various types of hyperspectral vegetation indices in characterizing agricultural crops, this volume discusses non-invasive quantification of foliar pigments, leaf nitrogen concentration of cereal crop, the estimation of nitrogen content in crops and pastures, forest leaf chlorophyll content, among other applications.
Описание: This book discusses both the strengths and the limitations of the topics covered: (a) hyperspectral processes, (b) sensors, and (c) data analysis. Each chapter reviews existing "state-of-art" knowledge, highlights the advances made, and provides guidance for appropriate use of hyperspectral data in study of vegetation and its numerous applications.
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