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Handbook on Advances in Remote Sensing and Geographic Information Systems Paradigms and Applications in Forest Landscape Modeling

Favorskaya Margarita N. Jain, Lakhmi C.
Innbundet / 2017 / Engelsk

Produktdetaljer

ISBN
9783319523064
Publisert
2017-03-06
Utgiver
Vendor
Springer International Publishing AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet

Forfatter
Favorskaya Margarita N.
Jain, Lakhmi C.

Handbook on Advances in Remote Sensing and Geographic Information Systems Paradigms and Applications in Forest Landscape Modeling

Favorskaya Margarita N. Jain, Lakhmi C.
Innbundet / 2017 / Engelsk
Favorskaya Margarita N. Jain, Lakhmi C.
Innbundet / 2017 / Engelsk
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This book presents the latest advances in remote-sensing and geographic information systems and applications. It is divided into four parts, focusing on Airborne Light Detection and Ranging (LiDAR) and Optical Measurements of Forests; Individual Tree Modelling; Landscape Scene Modelling; and Forest Eco-system Modelling.

Given the scope of its coverage, the book offers a valuable resource for students, researchers, practitioners, and educators interested in remote sensing and geographic information systems and applications.

Les mer
<p>This book presents the latest advances in remote-sensing and geographic information systems and applications.</p>
Innovations in Remote Sensing of Forests.- Overview of LiDAR Technologies and Equipment for Land Cover Scanning.- Software Tools for Terrain and Forest Modelling.- Data Fusion for Evaluation of Woodland Parameters.- Tree Modelling in Virtual Reality Environment.- Realistic Tree Modelling.-  Digital Modelling of Terrain Surface.- Texturing of Landscape Scenes.- Large Scene Rendering.- Scene Rendering under Meteorological Impacts.- Lighting and Shadows Rendering in Natural Scenes.- Modelling of Forest Ecosystems.
Les mer

This book presents the latest advances in remote-sensing and geographic information systems and applications. It is divided into four parts, focusing on Airborne Light Detection and Ranging (LiDAR) and Optical Measurements of Forests; Individual Tree Modelling; Landscape Scene Modelling; and Forest Eco-system Modelling.

Given the scope of its coverage, the book offers a valuable resource for students, researchers, practitioners, and educators interested in remote sensing and geographic information systems and applications.

Les mer
Presents recent research in remote-sensing and geographic information systems Features detailed computer-aided methods of modelling, intelligent data fusion technologies, rendering technologies, and evaluation methodologies Presents innovative methods for use with terrain and vegetation Includes supplementary material: sn.pub/extras
Les mer
GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
Les mer

Relaterte produkter

This book presents the latest advances in remote-sensing and geographic information systems and applications. It is divided into four parts, focusing on Airborne Light Detection and Ranging (LiDAR) and Optical Measurements of Forests; Individual Tree Modelling; Landscape Scene Modelling; and Forest Eco-system Modelling.

Given the scope of its coverage, the book offers a valuable resource for students, researchers, practitioners, and educators interested in remote sensing and geographic information systems and applications.

Les mer
<p>This book presents the latest advances in remote-sensing and geographic information systems and applications.</p>
Innovations in Remote Sensing of Forests.- Overview of LiDAR Technologies and Equipment for Land Cover Scanning.- Software Tools for Terrain and Forest Modelling.- Data Fusion for Evaluation of Woodland Parameters.- Tree Modelling in Virtual Reality Environment.- Realistic Tree Modelling.-  Digital Modelling of Terrain Surface.- Texturing of Landscape Scenes.- Large Scene Rendering.- Scene Rendering under Meteorological Impacts.- Lighting and Shadows Rendering in Natural Scenes.- Modelling of Forest Ecosystems.
Les mer

This book presents the latest advances in remote-sensing and geographic information systems and applications. It is divided into four parts, focusing on Airborne Light Detection and Ranging (LiDAR) and Optical Measurements of Forests; Individual Tree Modelling; Landscape Scene Modelling; and Forest Eco-system Modelling.

Given the scope of its coverage, the book offers a valuable resource for students, researchers, practitioners, and educators interested in remote sensing and geographic information systems and applications.

Les mer
Presents recent research in remote-sensing and geographic information systems Features detailed computer-aided methods of modelling, intelligent data fusion technologies, rendering technologies, and evaluation methodologies Presents innovative methods for use with terrain and vegetation Includes supplementary material: sn.pub/extras
Les mer
GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
Les mer

Produktdetaljer

ISBN
9783319523064
Publisert
2017-03-06
Utgiver
Vendor
Springer International Publishing AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet

Forfatter
Favorskaya Margarita N.
Jain, Lakhmi C.

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