9781032850207 - Fundamentals of Satellite Remote Sensing: An Environmental Approach di Chuvieco, Emilio (20 risultati)

Hardcover. Condizione: Very Good. 4. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

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Hardcover. Condizione: Brand New. 4th edition. 464 pages. 10.00x7.00x10.00 inches. In Stock.

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Hardcover. Condizione: new. Hardcover. 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:Thoroughly revised to include updates in all chapters due to the technological advances in space exploration.Covers new constellations of high-resolution sensors such as Planet, Maxar, Geo-Airbus etcExplains field sensors such as spectro-radiometers, ground lidars and dronesDiscusses image services including Earthengine and CreoDIAS, as well as public repositories: Copernicus, Earthexplorer, GlovisProvides an introduction to AI algorithmsDiscusses cloud computing approachesThis 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. The new 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condizione: new. Hardcover. 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:Thoroughly revised to include updates in all chapters due to the technological advances in space exploration.Covers new constellations of high-resolution sensors such as Planet, Maxar, Geo-Airbus etcExplains field sensors such as spectro-radiometers, ground lidars and dronesDiscusses image services including Earthengine and CreoDIAS, as well as public repositories: Copernicus, Earthexplorer, GlovisProvides an introduction to AI algorithmsDiscusses cloud computing approachesThis 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. The new 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condizione: new. Hardcover. 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:Thoroughly revised to include updates in all chapters due to the technological advances in space exploration.Covers new constellations of high-resolution sensors such as Planet, Maxar, Geo-Airbus etcExplains field sensors such as spectro-radiometers, ground lidars and dronesDiscusses image services including Earthengine and CreoDIAS, as well as public repositories: Copernicus, Earthexplorer, GlovisProvides an introduction to AI algorithmsDiscusses cloud computing approachesThis 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. The new 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condizione: Neu. Fundamentals of Satellite Remote Sensing | An Environmental Approach | Emilio Chuvieco | Buch | Einband - fest (Hardcover) | Englisch | 2026 | CRC Press | EAN 9781032850207 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.