| Description |
1 online resource (359 pages) |
| Series |
Remote Sensing Applications Ser |
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Remote sensing applications.
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| Contents |
Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Series Foreword -- Preface -- Author -- Contributors -- Abbreviations -- Part I: Florida Everglades and Remote Sensing -- 1. Florida Everglades and Restoration -- 1.1 Florida Everglades -- 1.2 Geology and Landforms of the Everglades -- 1.3 Everglades Ecosystem -- 1.3.1 Freshwater Ecosystem -- 1.3.2 Coastal Ecosystem -- 1.4 Everglades Restoration -- References -- 2. Introduction to Remote Sensing -- 2.1 Overview of Remote Sensing -- 2.2 Multispectral Remote Sensing |
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2.2.1 Aerial Photography and Products -- 2.2.2 Drone Remote Sensing and Products -- 2.2.3 Spaceborne Sensors and Products -- 2.3 Hyperspectral Remote Sensing -- 2.3.1 Handheld Spectroradiometer to Collect Point Hyperspectral Data -- 2.3.2 Airborne Sensors to Collect Hyperspectral Imagery -- 2.3.3 Spaceborne Sensors to Collect Hyperspectral Imagery -- 2.4 Lidar Remote Sensing -- 2.4.1 Lidar Data Attributes -- 2.4.2 Lidar Data Format -- 2.4.3 Lidar Data Resources in the Everglades -- References -- 3. Vegetation Classification Systems in the Everglades |
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3.1 Vegetation Classification for South Florida Natural Areas -- 3.2 FLUCCS -- 3.3 Everglades Vegetation Classification System -- 3.4 KRREP Baseline Vegetation Classification -- References -- Part II: Multispectral Remote Sensing Applications -- 4. Applying Aerial Photography to Map Marsh Species in the Wetland of Lake Okeechobee -- 4.1 Introduction -- 4.2 Study Area and Data -- 4.3 Methodology -- 4.3.1 Image Segmentation to Create Image Objects -- 4.3.2 Classification: SVM, RF, and ANN -- 4.3.3 Accuracy Assessment -- 4.4 Results and Discussion |
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4.4.1 Experimental Analyses to Examine the Contribution of Texture Measures -- 4.4.2 Object-Based Marsh Species and Spatial Uncertainty Mapping -- 4.5 Summary and Conclusions -- References -- 5. Unmanned Aircraft System (UAS) for Wetland Species Mapping -- 5.1 Introduction -- 5.1.1 Background of UAS -- 5.1.2 Structure from Motion Photogrammetry -- 5.1.3 UAS Data Collection -- 5.1.4 UAS for Vegetation Mapping -- 5.2 Study Site and Data Collection -- 5.2.1 Study Site -- 5.2.2 UAS Data Collection -- 5.2.3 In-situ Data Collection -- 5.3 Methodology for Species Mapping |
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5.3.1 UAS Image Pre-processing -- 5.3.2 UAS Orthoimage Radiometric Correction and Segmentation -- 5.3.3 Data Matching and Manual Interpretation -- 5.3.4 Species Classification -- 5.3.5 Accuracy Assessment -- 5.4 Experimental Analysis and Results -- 5.5 Discussion -- 5.6 Conclusion -- References -- 6. Spaceborne Multispectral Sensors for Vegetation Mapping and Change Analysis -- 6.1 Introduction -- 6.2 Data -- 6.3 Methodology -- 6.3.1 Time Series Image Normalization -- 6.3.2 Image Segmentation -- 6.3.3 Training/Testing Sample Selection in the Classification |
| Summary |
Multi-sensor System Applications in the Everglades Ecosystems 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 |
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Multi-sensor System Applications in the Everglades Ecosystems provides a comprehensive application of remote sensing techniques in the Florida Everglades and its coastal ecosystems. It will prove an invaluable resource for the restoration and conservation of the Florida Everglades and beyond, for global wetlands in general. Any professional, scientist, engineer, or student working with remote sensing and wetland ecosystems will reap enormous benefits from this book |
| Notes |
6.3.4 Image Classification and Accuracy Assessment |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Remote sensing -- Florida -- Everglades
|
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Remote sensing.
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Florida -- Everglades.
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| Form |
Electronic book
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| ISBN |
9780429075872 |
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0429075871 |
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9780429530784 |
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0429530781 |
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9781498711784 |
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1498711782 |
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