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Full Description
Making Spatial Decisions Using GIS and Remote Sensing is the first workbook to highlight the image processing capabilities inherent in ArcGIS software. Designed to complement remote sensing textbooks in an undergraduate curriculum, this workbook teaches students image processing and analysis skills with ArcGIS 10.1 for Desktop. The book uses step-by-step instruction, guided activities that reinforce learned concepts, and independent projects that encourage students to solve problems using local data.
A DVD with Landsat imagery and other data accompanies the book along with access to ArcGIS 10.1 for Desktop Advanced software (180-day use). Instructor resources are available.
Contents
Preface
Acknowledgments
Introduction
Workflow
Module 1 - Enhancing images
Project 1: Displaying and enhancing Landsat imagery of the Chesapeake Bay
Project 2: Displaying and enhancing Landsat imagery of Las Vegas, Nevada
Project 3: On your own
Module 2 - Composite images
Project 1: Creating multispectral imagery of the Chesapeake Bay
Project 2: Creating multispectral imagery of Las Vegas, Nevada
Project 3: On your own
Module 3 - Spectral signatures
Project 1: Investigating spectral signatures of the Chesapeake Bay
Project 2: Investigating spectral signatures of Las Vegas, Nevada
Project 3: On your own
Module 4 - Land cover
Project 1: Comparing digitized land cover to USGS land-cover classes in Loudoun County, Virginia
Project 2: Comparing digitized land cover to USGS land-cover classes near Lake Mohave
Project 3: On your own
Module 5 - Unsupervised classification
Project 1: Calculating unsupervised classification of the Chesapeake Bay
Project 2: Calculating unsupervised classification of Las Vegas, Nevada
Project 3: On your own
Module 6 - Supervised classification
Project 1: Calculating supervised classification of the Chesapeake Bay
Project 2: Calculating supervised classification of Las Vegas, Nevada
Project 3: On your own
Module 7 - Classification accuracy
Project 1: Assessing the accuracy of land-cover data and different types of classification of the Chesapeake Bay
Project 2: Assessing the accuracy of land-cover data and different types of classifications of Las Vegas, Nevada
Project 3: On your own
Module 8 - Urban change
Project 1: Measuring urban change in Loudoun County, Virginia
Project 2: Measuring urban change in Las Vegas, Nevada
Project 3: On your own
Module 9 - Water
Project 1: Measuring the impact of drought on Texas reservoirs
Project 2: Measuring Minnesota lake temperature using thermal infrared data
Project 3: On your own
Module 10 - Normalized Difference Vegetation Index
Project 1: Using NDVI to study drought conditions in Texas
Project 2: Using NDVI to study seasonal change in Minnesota
Project 3: On your own
Appendix A: Downloading Landsat imagery
Appendix B: References
Appendix C: Image and data credits
Appendix D: Data license agreement
Appendix E: Installing the data and software
