Remote Sensing for Landscape Ecology Monitoring, Modeling, and Assessment of Ecosystems

3.8.1 Inferring Habitat Suitability and Vulnerability -- 3.8.2 Inferring Water Quality and Hydrologic Impairment -- 3.9 Utilizing Complementary Research for a Successful Project -- 3.10 Communicating Landscape Scale Projects Effectively -- Chapter 4: Applied Analyses of Broad-Scale Landscape Gradients of Condition -- 4.1 Case Study: The Laurentian Great Lakes Watershed -- 4.1.1 Great Lakes Landscape Context and Background -- 4.1.1.1 Landscape Characterization of Biophysical Conditions in the Great Lakes -- 4.1.1.2 Measuring Landscape Ecological Vulnerability in the Great Lakes -- 4.1.2 Determining Terrestrial Conditions -- 4.1.2.1 Areal Extent of Great Lakes Wetlands -- 4.1.2.2 Proximity of Land Cover and Land Use to Wetlands -- 4.1.3 Determining Patch Characteristics -- 4.1.3.1 Inter-Wetland Spacing and Landscape Integration -- 4.1.4 Inferring Ecosystem Functions from Landscape Metrics -- 4.1.4.1 Water Quality Metrics Related to Wetlands of the Great Lakes Basin -- 4.2 Case Study: Impacts of Sea Level Rise on California and North Carolina Coastal Ecosystems -- 4.2.1 California and North Carolina Coastal Landscapes: Context and Background -- 4.2.2 Determining Terrestrial Conditions and Changes in Sea Level -- 4.2.2.1 SLAMM Approach -- 4.2.2.2 ESLM "Bathtub Model" Approach -- 4.2.3 Inferring Ecosystem Conditions Using Associated Sea Level -- Chapter 5: Applied Analyses of Regional Scale Landscape Gradients of Condition -- 5.1 Case Study: Ozark Mountains Watershed -- 5.1.1 Ozark Mountains: Landscape Context and Background -- 5.1.2 Determining Watershed Conditions -- 5.1.3 Determining Patch Characteristics with Geospatial Statistics -- 5.1.4 Inferring Ecosystem Water Quality Conditions Using Riparian Landscape Metrics -- 5.1.4.1 Total Phosphorus Model -- 5.1.4.2 Total Ammonia Model -- 5.1.4.3 Escherichia coli Model -- 5.1.4.4 Model Integration