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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Condizione: Nuevo. Remote sensing of climate editado por Elsevier uk.

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Taschenbuch. Condizione: Neu. Remote Sensing of Climate | Timothy Dube (u. a.) | Taschenbuch | Einband - fest (Hardcover) | Englisch | 2024 | Elsevier Inc | EAN 9780443217319 | Verantwortliche Person für die EU: Zeitfracht Medien GmbH, Ferdinand-Jühlke-Str. 7, 99095 Erfurt, produktsicherheit[at]zeitfracht[dot]de | Anbieter: preigu. …

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Taschenbuch. Condizione: Neu. Neuware -Remote Sensing of Climate provides cutting-edge techniques in remote sensing of climate variability and the environment. The book focuses on methods and data analytics, advancements in scientific research in the field, and further proffers recommendations on the possible knowledge gaps and future scientific research directions. It covers eight key themes of remote sensing and climate variability, including discussions on how the various aspects from each chapter of the themes interrelate. It also integrates several divergent perspectives on remote sensing and climate variability and the environment to show the interrelationships between the perspectives. This is an important reference for those in education and research working on remote sensing and climate science who need methods, data analytics, case studies, research strides, and key knowledge gaps in the field.…

Taschenbuch. Condizione: Neu. Neuware - Remote Sensing of Climate provides cutting-edge techniques in remote sensing of climate variability and the environment. The book focuses on methods and data analytics, advancements in scientific research in the field, and further proffers recommendations on the possible knowledge gaps and future scientific research directions. It covers eight key themes of remote sensing and climate variability, including discussions on how the various aspects from each chapter of the themes interrelate. It also integrates several divergent perspectives on remote sensing and climate variability and the environment to show the interrelationships between the perspectives.This is an important reference for those in education and research working on remote sensing and climate science who need methods, data analytics, case studies, research strides, and key knowledge gaps in the field.…

Paperback. Condizione: New. Remote Sensing of Climate provides cutting-edge techniques in remote sensing of climate variability and the environment. The book focuses on methods and data analytics, advancements in scientific research in the field, and further proffers recommendations on the possible knowledge gaps and future scientific research directions. It covers eight key themes of remote sensing and climate variability, including discussions on how the various aspects from each chapter of the themes interrelate. It also integrates several divergent perspectives on remote sensing and climate variability and the environment to show the interrelationships between the perspectives.This is an important reference for those in education and research working on remote sensing and climate science who need methods, data analytics, case studies, research strides, and key knowledge gaps in the field.…

Otros. Condizione: New. Condizione sovraccoperta: Nuevo. 01. LIBRO.

Paperback. Condizione: New. Remote Sensing of Climate provides cutting-edge techniques in remote sensing of climate variability and the environment. The book focuses on methods and data analytics, advancements in scientific research in the field, and further proffers recommendations on the possible knowledge gaps and future scientific research directions. It covers eight key themes of remote sensing and climate variability, including discussions on how the various aspects from each chapter of the themes interrelate. It also integrates several divergent perspectives on remote sensing and climate variability and the environment to show the interrelationships between the perspectives.This is an important reference for those in education and research working on remote sensing and climate science who need methods, data analytics, case studies, research strides, and key knowledge gaps in the field.…

Taschenbuch. Condizione: Neu. Neuware -Remote Sensing of Climate provides cutting-edge techniques in remote sensing of climate variability and the environment. The book focuses on methods and data analytics, advancements in scientific research in the field, and further proffers recommendations on the possible knowledge gaps and future scientific research directions. It covers eight key themes of remote sensing and climate variability, including discussions on how the various aspects from each chapter of the themes interrelate. It also integrates several divergent perspectives on remote sensing and climate variability and the environment to show the interrelationships between the perspectives.This is an important reference for those in education and research working on remote sensing and climate science who need methods, data analytics, case studies, research strides, and key knowledge gaps in the field. 458 pp. Englisch.…

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Hardcover. Condizione: new. Hardcover. Plants' functional traits reflect their ecological strategies, responses to environmental factors, and shape ecosystem properties. The variation in functional traits is important for addressing ecological questions across multiple scales, demanding standardized techniques across space and time. This research domain has proven highly productive for comprehending ecological and evolutionary patterns and processes related to the functional characteristics of plants. Consequently, precise and timely acquisition of plant traits improves our understanding of the impact of environmental changes and disturbances on plants. Remote sensing coupled with advanced models has the capacity to monitor vegetation functioning through traits across multiple spatial and temporal scales. Spectral signals from remote sensing instruments enable the retrieval of species traits, including pigments, species composition, ecosystem structure and function. Plant traits can be retrieved from remote sensing through radiative transfer model inversion, machine learning, and deep learning techniques. As remote sensing data become more accessible through UAVs and freely available satellite data, machine and deep learning have emerged as compelling methods for enhancing the extraction of plant traits from airborne and spaceborne sensors. This Special Issue presents innovative contributions from authors from around the world that examine the application of both active and passive remote sensing sensors in the retrieval of key vegetation and landscape metrics that reflect ecosystem structure and function. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Plants' functional traits reflect their ecological strategies, responses to environmental factors, and shape ecosystem properties. The variation in functional traits is important for addressing ecological questions across multiple scales, demanding standardized techniques across space and time. This research domain has proven highly productive for comprehending ecological and evolutionary patterns and processes related to the functional characteristics of plants. Consequently, precise and timely acquisition of plant traits improves our understanding of the impact of environmental changes and disturbances on plants. Remote sensing coupled with advanced models has the capacity to monitor vegetation functioning through traits across multiple spatial and temporal scales. Spectral signals from remote sensing instruments enable the retrieval of species traits, including pigments, species composition, ecosystem structure and function. Plant traits can be retrieved from remote sensing through radiative transfer model inversion, machine learning, and deep learning techniques. As remote sensing data become more accessible through UAVs and freely available satellite data, machine and deep learning have emerged as compelling methods for enhancing the extraction of plant traits from airborne and spaceborne sensors. This Special Issue presents innovative contributions from authors from around the world that examine the application of both active and passive remote sensing sensors in the retrieval of key vegetation and landscape metrics that reflect ecosystem structure and function.…