| Courses |
Duration/Units | Unit Content
|
Course/Unit Maps
| Datasets | Exercises/Activity/Software |
Image Processing for ERDAS v.9
|
10 hours
10 units |
Unit 1: Information Extraction
Unit 2: Spectral Mapping
Unit 3: Georeferencing
Unit 4: Structural Mapping
Unit 5: Vegetation Mapping
Unit 6: Land Cover Classification
Unit 7: Meteorology
Unit 8: Coastal Mapping
Unit 9: Landslide Mapping
Unit 10: Mineral Exploration |
Unit Map 1: Information Extraction
Unit Map 2: Spectral Mapping
Unit Map 3: Georeferencing
Unit Map 4: Structural Mapping
Unit Map 5: Vegetation Mapping
Unit Map 6: Land Cover Classification
Unit Map 7: Meteorology
Unit Map 8: Coastal Mapping
Unit Map 9: Landslide Mapping
Unit Map 10: Mineral Exploration |
LANDSAT
AVHRR
CASI
DEM
SPOT
ERS1 |
Workflow guidelines and demos
ERDAS Imagine v.9
|
Image Processing for ERDAS 2010
|
10 hours
10 units |
Unit 1: Information Extraction
Unit 2: Spectral Mapping
Unit 3: Georeferencing
Unit 4: Structural Mapping
Unit 5: Vegetation Mapping
Unit 6: Land Cover Classification
Unit 7: Meteorology
Unit 8: Coastal Mapping
Unit 9: Landslide Mapping
Unit 10: Mineral Exploration |
Unit Map 1: Information Extraction
Unit Map 2: Spectral Mapping
Unit Map 3: Georeferencing
Unit Map 4: Structural Mapping
Unit Map 5: Vegetation Mapping
Unit Map 6: Land Cover Classification
Unit Map 7: Meteorology
Unit Map 8: Coastal Mapping
Unit Map 9: Landslide Mapping
Unit Map 10: Mineral Exploration |
LANDSAT
AVHRR
CASI
DEM
SPOT
ERS1 |
Workflow guidelines and demos
ERDAS Imagine 2010
|
Image Processing for IDRISI
|
10 hours
10 units |
Unit 1: Information Extraction
Unit 2: Spectral Mapping
Unit 3: Georeferencing
Unit 4: Structural Mapping
Unit 5: Vegetation Mapping
Unit 6: Land Cover Classification
Unit 7: Meteorology
Unit 8: Coastal Mapping
Unit 9: Landslide Mapping
Unit 10: Mineral Exploration |
Unit Map 1: Information Extraction
Unit Map 2: Spectral Mapping
Unit Map 3: Georeferencing
Unit Map 4: Structural Mapping
Unit Map 5: Vegetation Mapping
Unit Map 6: Land Cover Classification
Unit Map 7: Meteorology
Unit Map 8: Coastal Mapping
Unit Map 9: Landslide Mapping
Unit Map 10: Mineral Exploration |
LANDSAT
AVHRR
CASI
DEM
SPOT
ERS1 |
Workflow guidelines and demos
IDRISI
|
Image Processing for PCI
|
10 hours
10 units |
Unit 1: Information Extraction
Unit 2: Spectral Mapping
Unit 3: Georeferencing
Unit 4: Structural Mapping
Unit 5: Vegetation Mapping
Unit 6: Land Cover Classification
Unit 7: Meteorology
Unit 8: Coastal Mapping
Unit 9: Landslide Mapping
Unit 10: Mineral Exploration |
Unit Map 1: Information Extraction
Unit Map 2: Spectral Mapping
Unit Map 3: Georeferencing
Unit Map 4: Structural Mapping
Unit Map 5: Vegetation Mapping
Unit Map 6: Land Cover Classification
Unit Map 7: Meteorology
Unit Map 8: Coastal Mapping
Unit Map 9: Landslide Mapping
Unit Map 10: Mineral Exploration |
LANDSAT
AVHRR
CASI
DEM
SPOT
ERS1 |
Workflow guidelines and demos
PCI
|
Image Processing for ENVI
|
10 hours
10 units |
Unit 1: Information Extraction
Unit 2: Spectral Mapping
Unit 3: Georeferencing
Unit 4: Structural Mapping
Unit 5: Vegetation Mapping
Unit 6: Land Cover Classification
Unit 7: Meteorology
Unit 8: Coastal Mapping
Unit 9: Landslide Mapping
Unit 10: Mineral Exploration |
Unit Map 1: Information Extraction
Unit Map 2: Spectral Mapping
Unit Map 3: Georeferencing
Unit Map 4: Structural Mapping
Unit Map 5: Vegetation Mapping
Unit Map 6: Land Cover Classification
Unit Map 7: Meteorology
Unit Map 8: Coastal Mapping
Unit Map 9: Landslide Mapping
Unit Map 10: Mineral Exploration |
LANDSAT
AVHRR
CASI
DEM
SPOT
ERS1 |
Workflow guidelines and demos
ENVI
|
Radar Imaging
|
5 units |
Unit 1: Thematic Information
Unit 2: Image Interpretation - Speckle
Unit 3: Image Interpretation - Reducing Speckle
Unit 4: Image Interpretation - Single Images
Unit 5: Image Interpretation - Multi-temporal SAR
Unit 6: Image Interpretation - Interferometric images
Unit 7: Image Interpretation - Polarisation
Unit 8: Landmap products
Unit 9: Data processing |
|
ERS-2
ASAR
|
Workflow guidelines
ERDAS Imagine or ENVI
|
| Object-Oriented Classification |
15.5 hours
10 units |
Unit 1: Definiens Introduction
Unit 2: Image Segmentation
Unit 3: Nearest Neighbour Classification
Unit 4: Rule Based Classification
Unit 5: Threshold Identification
Unit 6: Working with Levels
Unit 7: Putting it all Together
Unit 8: Calculating Image Thresholds
Unit 9: Using Fuzzy Membership Functions |
Unit Map 1: Definiens Introduction
Unit Map 2: Image Segmentation
Unit Map 3: Nearest Neighbour Classification
Unit Map 4: Rule Based Classification
Unit Map 5: Threshold Identification
Unit Map 6: Working with Levels
Unit Map 7: Putting it all Together
Unit Map 8: Calculating Image Thresholds
Unit Map 9: Using Fuzzy Membership Functions (Not available)
|
LANDSAT |
Software procedures, O-O classification methods
Definiens Developer
|
| Modern Aerial Photography for ArcGIS |
1.5 hours
4 units |
Unit 1: Format of Aerial Photography
Unit 2: Key Characteristics
Unit 3: Sherlock Holmes Process
Unit 4: Workshop (3 exercises on comparing imagery; identifying features and additional questions) |
|
Digital Aerial Photographs |
Workshop
ArcGIS
|
| Modern Aerial Photography for CR Viewer |
1.5 hours
6 units |
Unit 1: Introduction
Unit 2: Basics of Aerial Photography
Unit 3: Digital Cameras and Images
Unit 4: Process of Image Interpretation
Unit 5: Image Interpretation Test
Unit 6: Image Software Workshop |
|
Digital Aerial Photographs |
Workshop
CR Viewer
|
| Historical Aerial Photography |
2 hours
4 units |
Unit 1: Historical Aerial Photography
Unit 2: Applications
Unit 3: Factors in use of historical aerial photography
Unit 4: Workshop (loading data; what do historical data tell us? How does the past affect the present? Using additional resources) |
|
Digital Aerial Photographs |
Workshop
CR Viewer
|
| LiDAR |
2 hours
6 units |
Unit 1: What is LiDAR?
Unit 2: Refresher test and answers
Unit 3: Airborne LiDAR
Unit 4: Understanding LiDAR products
Unit 5: IfSAR
Unit 6: Workshop (Loading data; Viewing data; Compariing terrain data; Terrain data conclusions; Line of sight; View shed analysis and Flood analysis) |
|
LiDAR
IFSAR |
Workshop
Global Mapper
|
| 3-D Modelling |
2 hours
4 units |
Unit 1: Introduction to 3-D Modelling
Unit 2: Types of 3-D data
Unit 3: Exercise
Unit 4: Workshop (The Base; Creating 3-D buildings; Adding textures; Adding photos; Adding other models; Interacting with the model; Exporting the model) |
|
Google Earth
3D models |
Demo
Google Sketch-Up
|
| Introduction to UKMap |
3 hours
6 units |
Unit 1: Understanding UKMap
Unit 2: Applications of UKMap
Unit 3: Downloading UKMap for Landmap Kaia
Unit 4: Using UKMap in ArcGIS (Personal Geodatabase)
Unit 5: Using UKMap in ArcGIS (Flat Files)
Unit 6: Using UKMap in QGIS |
|
UKMap |
Workflow guidelines and demo
ArcGIS and QGIS
|
| Landuse Mapping |
3 hours
7 units |
Unit 1: Early Landuse Mapping
Unit 2: Digital Mapping and Classification Schemes
Unit 3: Cities Revealed Landuse
Unit 4: Landuse Applications
Unit 5: Creating Landuse databases
Unit 6: Image Interpretation
Unit 7: Workshop (6 exercises)
|
|
Cities Revealed Landuse |
Workflow guidelines and demo
ArcGIS
|
| Python Scripting for Remote Sensing |
10 hours
10 units |
Unit 1: Introduction
Unit 2: Python Basics (Hello world; Variables; Lists; Decisions)
Unit 3: Text Processing (Read and write text files)
Unit 4: File System (File identification; recursive operations)
Unit 5: Plotting (Simple plots; line plots)
Unit 6: Statistics (Simple statistics, biomass and exceptions; fitting linear equation)
Unit 7: Arc Toolboxes (Batch processing; creating a new toolbox; calculating polygon area; automating hydrology tools)
Unit 8: Batch Processing Command Line Tools (Merging ESRI shapefiles; Converting images to GeoTIFF; Passing imputs from the command line)
Unit 9: Image Processing (Opening an image with GDAL; calculate NDVI using GDAL; create a simple rule based classifier)
Unit 10: LiDAR (Gridding LiDAR data; visualisation; scatterplots) |
|
Scripts and Data |
Demo
ArcGIS
|
