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Remote Sensing and Image Interpretation - Coggle Diagram
Remote Sensing and Image Interpretation
Concept and Fundation of Remote Sensing
1.1. Introduction
1.2. Energy Source and Radiation Principles
1.3. Energy Interaction in the atmosphere
1.4. Energy Interaction with Earth Surface Features
1.5. Data Acquisition and Digital Image Concept
1.6. Reference Data
1.7. Global Positioning System and Other Global Navigation Satellite System
1.8. Characteristic of Remote Sensing System
1.9. Successful Application of Remote Sensing
1.10. Geographic Information System (GIS)
1.11. Spatial Data Framework for GIS and Remote Sensing
1.12. Visual Image Interpretation
Element of Photograpic System
2.1. Introduction
2.2. Early History of Aerial Photography
2.3. Photograpic Basic
2.4. Film Photographyc
2.5. Digital Photography
2.6. Aerials Camera
2.7. Spatial Resolution of Camera System
2.8. Aerial Videography
2.9. Conclussion
Basic Principles of Photogrammetry
3.6. Relief Displacement of Vertical Features
3.7. Image Parallax
3.8. Ground Control for Aerial Photography
3.9. Determining the Element of Exterior Orientation of Areal Photographs
3.5. Area Measurement
3.4. Ground Coverage of Areal Photograph
3.3. Photographic Scale
3.10. Production of Mapping Product from Aerial Photography
3.2. Basic Geometric Characteristic
3.11. Flight Planning
3.1. Introduction
3.12. Conclussion
Multispektral, Thermal, and Hyperspectral Sensing
4.7. Geometric Characteristic of Along-Track Scanner Imagery
4.8. Thermal Imaging
4.9. Thermal Radiation Principles
4.10. Interpreting Thermal Imagery
4.6. Geometric Characteristic of Across-Track Scanner Imagery
4.5. Example Along-Track Multispectral Scanner and Imagery
4.4. Example Across-Track Multispectral Scanner and Imagery
4.11. Radiometric Calibration of Thermal Image and Temperature Mapping
4.3. Along-Track Scanning
4.12. FLIR System
4.2. Across-Track Scanning
4.13. Hyperspectral Sensing
4.1. Introduction
4.14. Conclussion
Earth Resource Satellite Operating in the Optical Spectrum
5.11. Moderate Resolution System Launched Since 1999
5.12. High Resolution System
5.13. Hyperspectral Satellite System
5.14. Meteorological Satellite Frequently Applied to Earth Surface Features Observation
5.15. NOAA POES Sattelites
5.10. Moderate Resolution System Launched Prior to 1999
5.9. Evolution of Other Moderate Resolution System
5.8. SPOT-6 and -7
5.7. SPOT-1 to -5
5.16. JPSS Satellite
5.6. Future Landsat Missions and the Global Earth Observation System of Systems
5.17. GOES Satellite
5.5. Landsat -8
5.18. Ocean Monitoring Satellite
5.4. Landsat -1 to -7
5.19. Earth Observing System
5.3. Moderate resolution System
5.20. Space Station Remote Sensing
5.2. General Characteristic of Satellite remote Sensing System Operating in the Optical Spectrum
5.21. Space Debris
5.1. Introduction
Microwave and LiDAR Sensing
6.13. ERS, Envisat and Sentinel-1
6.14. JERS-1, ALOS, and ALOS-2
6.15. Radarsat
6.16. TerraSAR-X, TanDEM-X, and PAZ
6.12. Almaz-1
6.11. Seasat-1 and the Shuttle Imaging Radar Mission
6.10. Radar Remote Sensing from Space
6.17. The COSMO-SkyMed Constellation
6.9. Interferometric radar
6.18. Other High Resolution Spaceborne Radar System
6.19. Shuttle Radar Topography Mission
6.20. Space Borne Radar System
6.8. Radar Image Interpretation
6.7. Other Radar Image Characteristics
6.6. Transmission Characteristic of Radar Signals
6.21. Radar Altimetry
6.5. Geometric Characteristic of Radar Imagery
6.22. Passive Microwave Sensing
6.4. Sinthetic Aperture Radar
6.23. Basic Principles of Lidar
6.3. Imaging Radar System Operation
6.24. Lidar Data Analisys and Applications
6.2. Radar Development
6.25. Spaceborne Lidar
6.1. Introduction
Digital Image Analysis
7.12. Hybrid Classification
7.13. Classification of Mixed Pixels
7.14. The Output Stage and Postclassification Smoothing
7.15. Object-Based Classification
7.11. Unsupervised Classification
7.10. The Training Stage
7.9. The Classification Stage
7.16. Neural Network Classification
7.8. Supervised Classification
7.17. Classification Accuracy Assessment
7.7. Image Classification
7.18. Change Detection
7.6. Multi-Image Manipulation
7.19. Image Time Series Analysis
7.5. Spatial Feature Manipulation
7.20. Data Fusion and GIS Integration
7.4. Contrast Manipulation
7.21. Hyperspectral Image Analysis
7.3. Image Enhancement
7.22. Biophysical Modelling
7.2. Preprocessing of Images
7.23. Conclussion
7.1. Introduction
Application of Remote Sensing
8.8. Snow and Ice Application
8.9. Urban and Regional Planning Applications
8.10. Wetland Mapping
8.11. Wildlife Ecology Applications
8.7. Water Resource Applications
8.6. Rangeland Applications
8.5. Forestry Applications
8.12. Archaeological Applications
8.4. Agricultural Applications
8.13. Environmental Assessment and Protection
8.3. Geologic and Soil Mapping
8.14. Natural Disaster Assessment
8.2. Land Used and Land Cover Mapping
8.15. Principles of Landform Identification and Evaluation
8.1. Introduction
8.16. Conclussion