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Part I: Image Processing Methods and Approaches.
1. Digital Image Processing: A Review of the Fundamental Methods and Techniques.
2. Image Classification Methods in Land Cover and Land Use and Cropland Studies.
3. Urban Image Classification: Per-pixel Classifiers, Sub-pixel Analysis, Object-based Image Analysis, and Geospatial Methods.
4. Hyperspectral Image Processing: Methods and Approaches.
5. Collaborative Representation for Hyperspectral Image Classification and Detection.
6. Thermal Infrared Remote Sensing: Principles and Theoretical Background.
7. Remote Sensing Image Segmentation: Methods, Approaches, and Advances.
8. Object Based Image Analysis: Evolution, History, State-of-the-Art and Future Vision.
9. Geospatial Data Integration in OBIA- implications of Accuracy and Validity.
10. Image Segmentation Algorithms for Land Categorization.
11. LiDAR Data Processing and Applications. Part II: Change Detection.
12. Forest Clear-Cutting Detection in Subtropical Regions with Time Series Remotely Sensed Data. Part III: Integrating Geographic Information Systems (GIS) and Remote Sensing in Spatial Modeling Framework for Decision Support.
13. Geoprocessing, Workflows, and Provenance.
14. Toward Democratization of Geographic Information: GIS, Remote Sensing, and GNSS Applications in Everyday Life.
15. Frontiers of GIScience: Evolution, State-of-Art, and Future Pathways.
16. Object-Based Regionalization for Policy-Oriented Partitioning of Space. Part IV: Summary and Synthesis of Volume II.
17. Remote Sensing Handbook, Volume II: Image Processing, Change Detection, GIS and Spatial Data Analysis.