Produktbild: Zhang, C: Multi-sensor System Applications in the Everglades

Zhang, C: Multi-sensor System Applications in the Everglades

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.01.2023

Abbildungen

farbige Illustrationen

Verlag

Taylor & Francis

Seitenzahl

358

Maße (L/B)

25.4/17.8 cm

Gewicht

980 g

Sprache

Englisch

ISBN

978-1-03-247487-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.01.2023

Abbildungen

farbige Illustrationen

Verlag

Taylor & Francis

Seitenzahl

358

Maße (L/B)

25.4/17.8 cm

Gewicht

980 g

Sprache

Englisch

ISBN

978-1-03-247487-8

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  • Produktbild: Zhang, C: Multi-sensor System Applications in the Everglades
  • Part I. Florida Everglades and Remote Sensing. 1. Florida Everglades and Restoration. 2. Introduction to Remote Sensing. 3. Vegetation Classification System in the Everglades. Part II. 4. Applying Aerial Photography to Map Marsh Species in the Wetland of Lake Okeechobee. 5. Unmanned Aircraft System (UAS) for Wetland Species Mapping. 6. Spaceborne Multispectral Sensors for Vegetation Mapping and Change Analysis. 7. Water Quality Modeling and Mapping using Landsat Data. 8. Mapping Sawgrass Aboveground Biomass using Landsat Data. 9. Applying Landsat Products to Assess the Damage and Resilience of Mangroves from Hurricanes. Part III. Hyperspectral Remote Sensing Applications 10. Applying Point Spectroscopy Data to Assess the Effects of Salinity and Sea Level Rise on Canopy Water Content of Juncus roemaerianus. 11. Applying Point Spectroscopy Data to Characterize Sand Properties. 12. Land Cover-level Vegetation Mapping using AVIRIS. 13. Species-level Vegetation Mapping in the Kissimmee River Floodplain using HyMap Data. 14. Benthic Habitat Mapping in the Florida Keys using EO-1/Hyperion. Part IV. Lidar Remote Sensing Applications. 15. Vulnerability Analysis of Coastal Everglades to Sea Level Rise using SLAMM. 16. Enhancing Lidar Data Integrity in the Coastal Everglades. 17. Assessing the Effects of Hurricane Irma on Mangrove Structures in the Coastal Everglades using Airborne Lidar Data. Part V. Fusing Multiple Sensors for Everglades Applications. 18. Integrating Aerial Photography, EO-1/Hyperion, and Lidar Data to Map Vegetation in the Coastal Everglades. 19. Assessing a Multi-sensor Fusion Approach to Map Detailed Reef Benthic Habitats in the Florida Reef Tract. Index.