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Remote Sensing for Vegetation Monitoring

Technologies, Applications and Models

Polyphenol Nutraceuticals and Healthcare

Urban Air Pollution and Plant Responses: The Critical Connection Between Urban Air Quality and Plants delves into the complex relationship between urban air pollution and plants, examining how plants are affected by air pollutants in urban environments. An expert group of contributing authors explores the nature and sources of urban air pollutants, highlighting the challenges posed by poor air quality in urban areas. The chapters cover various plant responses to urban air pollution, including physiological, morphological, and biochemical reactions. Additionally, the book addresses the impact of urban air pollution on agriculture and discusses the role of plants in producing volatile organic compounds (VOCs) and their effects on air pollution. Sustainable urban planning strategies, innovations in urban greening, and policy and management approaches are explored as means to improve air quality and create healthier urban landscapes. The book provides a comprehensive overview of the critical connection between urban air quality, air pollution, and plant health, offering insights and solutions for achieving sustainable, cleaner growth in urban areas.

The Critical Connection Between Urban Air Quality and Plants

Urban Air Pollution and Plant Responses

Rosa Luxemburg's Herbarium

Earth Observation

Multimodal Remote Sensing Data Fusion for Classification: Algorithms and Applications offers a comprehensive overview of Earth observation data fusion, focusing on multimodal remote sensing. It presents state-of-the-art algorithms and practical applications that enhance understanding of Earth's dynamic processes. Through detailed analysis, case studies, and practical examples, this book equips readers with the necessary tools to effectively utilize multimodal data fusion for land cover and land use classification, as well as environmental monitoring, making it an invaluable resource for those in remote sensing and Earth sciences. Furthermore, the book is tailored for Masters and Doctorate students, scientists, and professionals in remote sensing, geography, and Earth sciences. It delves into the integration and analysis of multimodal remote sensing data, offering insights into sustainable solutions for environmental challenges. This comprehensive coverage ensures readers are well-versed in the cutting-edge techniques and methodologies required for advanced Earth observation and classification tasks.

Algorithms and Applications

Multimodal Remote Sensing Fusion and Classification

An Optical Remote Sensing Perspective

Introduction to Radiative Transfer

Photonic Materials and Applications Series

Fiber-Optic Distributed Acoustic Sensing: Principles and Applications addresses the fundamentals of fiber optic distributed acoustic sensors (DAS) and their most important application fields. It is divided into three parts, the first of which covers the theoretical aspects of the working principle of DAS technology, including the description of the main optical components used for DAS monitoring, concepts of Rayleigh scattering, and approaches for resolving the spatial information based on optical time-domain and optical frequency-domain reflectometry. The second part focuses on the different interrogation techniques existing today, including dedicated signal processing and other advanced methods for enhancing sensing performance. The third part of the book is devoted to the main industrial applications of DAS technology, such as structural health monitoring, security, geophysical studies and seismic monitoring, including also relevant aspects related to the industrial standardization of the technology. For a reader with a basic background in photonics, the book provides the basis for knowing and understanding distributed acoustic sensing technology and its applications, in a single volume. It is relevant for a broad range of scientists and researchers working in the fields of photonics, sensing, environmental and structural health monitoring, optical communications, and optical fiber systems.

Principles and Applications

Fiber-Optic Distributed Acoustic Sensing

Agricultural Soil Degradation and Restoration

Agroforestry Solutions for Soil Restoration and Sustainable Land Management

Advantages, Challenges and Further Improvement

Sustainable Agricultural Waste Management

Decoding Plant-Environment-Microbiome Interactions in Stress-Resilient Agriculture provides foundational as well as future-facing insights into the emerging field of phytomicrobiome. Highlighting its unique advantages in addressing stressed soils and optimizing crop production this book specifically delves into the potential of phytomicrobiomes as natural bioresources to be optimized for improved interactions. Research has shown that the phytomicrobiome, comprising root-associated microbiota, plant growth-promoting rhizobacteria (PGPR), endophytes, phosphate-solubilizing microorganisms (PSMs), arbuscular mycorrhizal (AM) fungi, and actinomycetal populations, can enhance stress tolerance and ameliorate contaminated soils, enabling sustainable crop production under adverse conditions. However, the precise mechanisms through which the phytomicrobiome enhances stress resilience remain largely unexplored. Successful utilization of these natural bioresources in agriculture necessitates a comprehensive understanding of the intricate interplay between phytomicrobiomes and stressed plants, from fundamental processes to mechanistic insights. Presenting data and insights from globally recognized scientists and academicians with extensive research experience in microbiome-plant interactions Decoding Plant-Environment_Microbiome Interactions provides readers with the latest information and enables further advancements.

Decoding Plant-Environment-Microb

The fourth edition of this core textbook in advanced remote sensing continues to be the best guide on satellite-based remote sensing tools and methods for space-based Earth observation, and the use of remote sensing satellite data for studying and monitoring the planet. It is thoroughly updated with information related to new satellite missions from different agencies with particular attention to the new constellations of high-resolution sensors and new field observations for model calibration and validation, including field sensors and drones. The commercialization of remote sensing data with open cloud services and new classifications by AI algorithms and cloud computing services are also discussed. New in the Fourth Edition:<ul> <li>Thoroughly revised to include updates in all chapters due to the technological advances in space exploration.</li> <li>Covers new constellations of high-resolution sensors such as Planet, Maxar, Geo-Airbus, etc.</li> <li>Explains field sensors such as spectro-radiometers, ground lidars, and drones.</li> <li>Discusses image services including Earthengine, CreoDIAS, as well as public repositories: Copernicus, Earthexplorer, Glovis.</li> <li>Provides an introduction to AI algorithms.</li> <li>Discusses cloud computing approaches.</li> </ul>This textbook is for upper-level undergraduate and graduate students taking advanced courses in Remote Sensing and GIS in physical geography, geophysics, engineering, soil and plant sciences, urban planning, etc. It is also an excellent text for researchers and scientists interested in learning techniques and technologies for collecting, analyzing, managing, processing, and visualizing geospatial datasets.

An Environmental Approach

Fundamentals of Satellite Remote Sensing

Deep Learning for Synthetic Aperture Radar Remote Sensing

Health Geography: Innovative Geospatial Epidemiology presents a comprehensive exploration of the fundamental principles and methodologies underpinning remote sensing for spatial epidemiology. Organised in two parts, the first delves into the methodology of utilizing cutting-edge remote sensing technologies to detect, analyze, and predict the spatial distribution of infectious diseases through the process of extracting critical information and creating accurate geospatial models for disease mapping and monitoring. The second part provides numerous case studies that illustrate the real-world applications and transformative potential of the interdisciplinary approaches, allowing the book to bridge the gap between theoretical knowledge and practical implementation. Health Geography is an indispensable resource for researchers, practitioners, and graduate students in spatial epidemiology, geospatial sciences, and geostatistics seeking to utilize the potential of remote sensing technologies in tackling spatial epidemiological challenges.

Innovative Geospatial Epidemiology

Health Geography

Remote Sensing for Vegetation Monitoring

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