Making Spatial Decisions Using ArcGIS Pro

Preface
About the Authors
Acknowledgements

Introduction

Module 1: Hazardous emergency decisions
Project 1: An explosive situation in Springfield, Virginia
Project 2: Skirting the spill in Mecklenburg County, North Carolina

Module 2: Hurricane damage decisions
Project 1: Coastal flooding from Hurricane Katrina
Project 2: Hurricane Wilma storm surge

Module 3: Law enforcement decisions
Project 1: Crime in the nation's capital
Project 2: Analyzing crime in San Diego, CA

Module 4: Composite Images
Project 1: Creating multispectral imagery of the Chesapeake Bay
Project 2: Multispectral Composite Bands of the Las Vegas Area

Module 5: Unsupervised Classification
Project 1: Unsupervised classification of the Chesapeake Bay
Project 2: Calculating unsupervised classification of Las Vegas, Nevada

Module 6: Supervised Classification
Project 1: Calculating supervised classification of the Chesapeake Bay
Project 2: Calculating supervised classification of Las Vegas, Nevada

Module 7: Basic Lidar Skills
Project 1: Basic lidar skills using Baltimore, MD data
Project 2: San Francisco, CA

Module 8: Location of Solar Panels
Project 1: James Madison University, Harrisonburg, Virginia
Project 2: San Francisco University, San Francisco, California

Module 9: Forest Vegetation Height
Project 1: George Washington National Forest, Virginia
Project 2: Michaux State Forest, PA

Appendix A: Image and Data Credits
Book Resources