LiDAR Remote Sensing and Applications

• Main Authors: Dong, Pinliang, Chen, Qi
• Format: eBook Book
• Language: English
• Published: Boca Raton, FL CRC Press 2018; Taylor & Francis Group
• Edition: 1
• Series: Remote Sensing Applications Series
• Subjects: AGRICULTUREnetBASE; airborne; binary; cloud; data; Ecology; Ecology > Remote sensing; ENVIROnetBASE; ENVIRONMENTALSCIENCEnetBASE; Forestry; Forests and forestry; Forests and forestry > Remote sensing; Geography; Geography > Remote sensing; Optical radar; point; Qi Chen; raster; Remote sensing; SCI-TECHnetBASE; STMnetBASE; La File; LiDAR Data; LiDAR Point Cloud; LiDAR Metric; LiDAR Intensity Image; Chm; Terrain Dataset; Full Waveform LiDAR Data; LiDAR Analysis; LiDAR Remote Sensing; Road Extraction; RANSAC Method; LiDAR Point; DEM Raster; LiDAR System; Snow Depth Distribution; Small Area Population Estimation; DEM Layer; LiDAR Data Processing; La Format; IDW Interpolation; Airborne LiDAR; Marker Controlled Watershed Segmentation; Non-ground Returns; Bare Earth Digital Elevation Models

Ideal for both undergraduate and graduate students in the fields of geography, forestry, ecology, geographic information science, remote sensing, and photogrammetric engineering, LiDAR Remote Sensing and Applications expertly joins LiDAR principles, data processing basics, applications, and hands-on...

Table of Contents:

• Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- LiDAR Data Index Map -- Foreword -- Preface -- Authors -- List of Abbreviations -- Chapter 1 Brief Overview of Remote Sensing -- 1.1 From Aerial Photography to Remote Sensing -- 1.2 Multispectral Remote Sensing -- 1.3 Hyperspectral Remote Sensing -- 1.4 Radar Remote Sensing -- 1.5 LiDAR Remote Sensing -- References -- Chapter 2 Principles of LiDAR Remote Sensing -- 2.1 Introduction -- 2.2 Basic Components of LiDAR -- 2.3 Physical Principles of LiDAR -- 2.4 LiDAR Accuracy -- 2.5 LiDAR Data Formats -- 2.6 LiDAR Systems -- 2.7 LiDAR Resources -- Project 2.1: Review of Zonal Statistics for Raster Data in ArcGIS -- Project 2.2: Creating an LAS Dataset Using LiDAR Point Clouds from Fremont, CA, USA -- Project 2.3: Exploring Airborne LiDAR Data -- References -- Chapter 3 Basics of LiDAR Data Processing -- 3.1 Introduction -- 3.2 Filtering -- 3.2.1 TIN-Based Methods -- 3.2.2 Raster-Based Methods -- 3.3 Classification of Non-ground Points -- 3.4 Spatial Interpolation -- Project 3.1: Creating DTM, DSM, and DHM from LiDAR Data in Indianapolis, IN, USA -- Project 3.2: Generating a Terrain Dataset Using LiDAR Data from St. Albans, VT, USA -- References -- Chapter 4 LiDAR for Forest Applications -- 4.1 Introduction -- 4.2 Canopy Surface Height Modeling and Mapping -- 4.3 LiDAR Metrics for Vegetation Analysis -- 4.4 Individual Tree Isolation and Mapping -- 4.4.1 Grid-Based Tree Mapping -- 4.4.2 Point-Based Tree Mapping -- 4.4.3 Remaining Challenges in Tree Mapping -- 4.4.4 Modeling and Predicting Individual Tree Attributes -- 4.4.5 A Simulation Study for Tree Isolation -- 4.5 Area-Based Modeling and Mapping -- 4.6 Modeling, Mapping, and Estimating Biomass -- Project 4.1: Extracting Canopy Heights from Leaf-On and Leaf-Off LiDAR Data in Susquehanna Shale Hills, PA, USA
• Project 4.2: Identifying Disturbances from Hurricanes and Lightning Strikes to Mangrove Forests Using LiDAR Data in Everglades National Park, FL, USA -- References -- Chapter 5 LiDAR for Urban Applications -- 5.1 Introduction -- 5.2 Road Extraction -- 5.3 Building Extraction and 3D Reconstruction -- 5.4 Population Estimation -- 5.5 Change Detection -- 5.6 Assessment of Post-Disaster Building Damage -- 5.7 Assessment of Post-Disaster Road Blockage -- Project 5.1: Locating 3D LiDAR Points Near a Powerline in the City of Denton, TX, USA -- Project 5.2: Small-Area Population Estimation Using Count, Area, and Volume of Residential Buildings Extracted from LiDAR Data in Denton, TX, USA -- References -- Chapter 6 LiDAR for Geoscience Applications -- 6.1 Introduction -- 6.2 Aeolian Landforms -- 6.3 Fluvial Landforms -- 6.4 Surface Hydrology -- 6.5 Volcanic and Impact Landforms -- 6.6 Tectonic Landforms -- 6.7 Lithology and Geologic Structures -- Project 6.1: Measuring Sand Dune Migration Using Multi-Temporal LiDAR Data in White Sands Dune Field, NM, USA -- Project 6.2: Deriving Trend Surfaces of Simple Folds Using LiDAR Data in Raplee Ridge, UT, USA -- References -- Index