Principles of GIS and Remote Sensing
stable
Introduction
How to Use the Exercises
GI Science
1. Spatial Data Models
2. Data Entry
3. Spatial Reference Systems
4. Databases
5. Vector Analysis
6. Raster Analysis
7. Data Quality
8. Visualisation
Earth Observation
1. Radiometric Operations
2. Radiometric Corrections
3. Digital Image Classification
Data Integration
1. Systems and Models
2. Spatial Data Infrastructure
3. Use and Users
4. Resampling
5. Mono and Multi-Temporal Classification
6. Change Detection
Appendices
Common GIS File Formats
Shaded Terrain Models
Sistan Basin Dataset
Principles of GIS and Remote Sensing
»
The Core Course: Exercises
Edit on GitHub
The Core Course: Exercises
ΒΆ
Introduction
How to Use the Exercises
Structure
Conventions
Reporting Issues
GI Science
1. Spatial Data Models
1.1. Geographic Phenomena
1.2. Computer Representations
2. Data Entry
2.1. Direct Spatial Data Acquisition
2.2. Indirect Spatial Data Acquisition
3. Spatial Reference Systems
3.1. Reference Surfaces
3.2. Coordinate Systems
3.3. Map Projections
3.4. Coordinate Transformation
3.5. Ground Control Points
3.6. Additional Questions
4. Databases
4.1. Database Management Systems
4.2. Relational Databases
4.3. Data Retrieval
5. Vector Analysis
5.1. Geometric Measures
5.2. Overlays
5.3. Proximity Operators
5.4. Networks
6. Raster Analysis
6.1. Reclassification
6.2. Automatic Classification
6.3. Manual Classification
6.4. Raster Overlay
6.5. Raster Measurements & Computations
6.6. Surface Analysis
7. Data Quality
7.1. Accuracy
7.2. Data Acquisition Errors
7.3. Error Propagation
7.4. Data Management and Metadata
8. Visualisation
8.1. Cartographic Grammar
8.2. Critical Map Viewing
8.3. Creating a Topographic Map
Earth Observation
1. Radiometric Operations
1.1. Image Display
1.2. Image Enhancement by Histogram Operations
1.3. Image Enhancement by Filter Operations
2. Radiometric Corrections
2.1. Haze correction
2.2. Sun Angle Correction
3. Digital Image Classification
3.1. Inspection of Image characteristics
3.2. Legend & Visual Interpretation
3.3. Field Survey
3.4. Organising Field data
3.5. Defining Mapping Classes
3.6. Defining Spectral Signatures (ROIs)
3.7. Evaluation of Spectral Signatures
3.8. Supervised Image Classification
3.9. Accuracy assessment
Data Integration
1. Systems and Models
1.1. Systems
1.2. Models
1.3. The Purpose of a Model
1.4. Modelling Processes
1.5. Evaluating Systems Models
2. Spatial Data Infrastructure
2.1. The PDOK Geoportal
3. Use and Users
4. Resampling
4.1. Basic Resampling
4.2. Advanced Resampling
5. Mono and Multi-Temporal Classification
5.1. Setting Up the Analysis Environment
5.2. Data Preparation
5.3. Classification
5.4. Analysis
6. Change Detection
6.1. The Sistan Basin
6.2. Understanding the Data
6.3. Overall Concentration of Environmental Variables
6.4. Identification and Comparison of Seasonal Changes
6.5. Quantifying Differences in the Presence of Water
6.6. Quantifying Changes in Water and Vegetation
Appendices
Common GIS File Formats
Vector GIS File Extensions
Raster GIS file extensions
Shaded Terrain Models
Depicting a DEM as Layer Tints
Using a DEM to Create a Hillshade
Sistan Basin Dataset
Read the Docs
v: stable
Versions
latest
stable
Downloads
On Read the Docs
Project Home
Builds