Remote Sensing for Landscape Ecology: New Metric Indicators for Monitoring, Modeling, and Assessment of Ecosystems

Introduction Goals and Objectives Significance of Research Selection of Study Sites Summary of Chapters Background and Evaluation of Landscape Metrics Landscape Ecology Metrics The Contagion Metric The Fractal Dimension Metric Introduction of Improved Metrics Potential Problems of Existing Landscape Metrics for Use with Remote Sensing Data Systematic Evaluation of Landscape Metrics Problems with Contagion Problems with Fractal Dimension Research Methods Overview of Experimental Design Capability of Metrics to Capture Changes in Landscape Pattern Sensitivity of Metrics to Spatial Resolution of Remote Sensing Data Analysis of Metrics Along a Spatial Gradient in Rhodonia, Brazil Analysis of Metrics Along a Spatial Gradient in Washington, D.C. Analysis of Metrics Along a Vertical Gradient in the Sierra Nevada Analysis of Metrics Along a Temporal Gradient in Ouro Preto, Brazil Empirical Analysis of Landscape Metrics Metric Capability in Quantifying Changes Along a Spatial Gradient in Rodonia, Brazil Sensitivity of Metrics to Landscape Pattern Variation Sensitivity of Metrics to Spatial Resolution Test of the Regression Equations for PPU and SqP Using Landsat MSS 79 Meter Data Metric Capability in Quantifying Changes Along a Spatial Gradient in Washington, D.C. Sensitivity of Metrics to Landscape Pattern Variation Sensitivity of Metrics to Spatial Resolution Metric Capability in Quantifying Changes Along a Vertical Gradient in the Sierra Nevada Sensitivity of Metrics to Landscape Pattern Variation Sensitivity of Metrics to Spatial Resolution Metric Capability in Quantifying Changes Along a Temporal Gradient in Ouro Preto, Brazil Sensitivity of Metrics to Landscape Pattern Variation Sensitivity of Metrics to Spatial Resolution Summary Conclusions and Future Work Bibliography Index