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Title
Multi-sensor System Applications in the Everglades Ecosystem Hardcover
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Hardcover
$149.95
Ebook
$57.95
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Overview
This book explores the applicability of multiple remote sensors to acquire information relevant to restoration and conservation efforts in wetlands using data collected from airborne and space multispectral/hyperspectral sensors, light detection and ranging (LiDAR), Unmanned Aircraft Systems (UAS), and a hand-held spectroradiometer.... This book also examines digital data processing techniques such as object-based image analysis, machine learning, texture analysis, and data fusion. After an introduction to the Everglades and to remote sensing, the book is divided into four parts based on the sensor systems used. There are chapters on vegetation mapping, biomass and water quality modeling, applications of hyperspectral data for plant stress analysis and coral reef mapping, studies of airborne LiDAR data for coastal vulnerability analysis and DEM improvement, as well as chapters that explore a fusion of multiple sensors for different datasets. Product Details
Image
Price
$149.95
Language
English
ISBN-13
9781498711777
Publisher
Taylor & Francis
Publish Time
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Flat rate
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10% Discount
Stock level
10 Is Paperback available?
No
Is Hardcover available?
Yes
Hardcover
$149.95
Is Ebook available?
Yes
Ebook
$57.95
Ebook Link
Hardcover Link
Category
Science Education
Is Paperback available?
No
Is Hardcover available?
Yes
Is Ebook available?
Yes
|
Overview
This book explores the applicability of multiple remote sensors to acquire information relevant to restoration and conservation efforts in wetlands using data collected from airborne and space multispectral/hyperspectral sensors, light detection and ranging (LiDAR), Unmanned Aircraft Systems (UAS), and a hand-held spectroradiometer.... This book also examines digital data processing techniques such as object-based image analysis, machine learning, texture analysis, and data fusion. After an introduction to the Everglades and to remote sensing, the book is divided into four parts based on the sensor systems used. There are chapters on vegetation mapping, biomass and water quality modeling, applications of hyperspectral data for plant stress analysis and coral reef mapping, studies of airborne LiDAR data for coastal vulnerability analysis and DEM improvement, as well as chapters that explore a fusion of multiple sensors for different datasets. Product Details
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