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Landmap GeoSpatial Education Resources
Open Mic Session, 23 February 2012
Mimas, University of Manchester
Bharti Gupta Kamie Kitmitto Gail Millin-Chalabi
Conference 2012
• A nationally designated data-centre
• A Centre of Excellence at the University of Manchester
Mimas - Who are we?
To power world-class research and teaching
Our Mission?
Session Objectives • What is Landmap?
• Awareness of geospatial datasets
• Learning Zone – Structure
– Level and applications – Technological Framework – Pedagogic Framework
• Future Plans/Projects
What is Landmap? • Negotiate licenses • Purchase datasets • Free to Users • A unique combination of remotely-sensed imagery and spatial information • Spatial data download • Learning Zone
Optical & Thermal
Radar
Elevation Feature
Geospatial Datasets
Morecambe Bay acquired 07/05/00
2. SPOT (10m resolution)
River Thames, London acquired 13/09/91
1. Landsat 7 (25m resolution)
Used to map vegetation cover, land use and coastal sediment patterns.
Optical Satellite Imagery
• Agreement with Infoterra to order TopSat
Imagery almost any where around the world
• Countries include; – Nigeria – Iraq – Argentina – China – Sudan – Palestine – Mali – Egypt
TopSat: Lake Ghio, Argentina acquired 07/01/08
3. TopSAT
4. Colour Infrared
Provides information about vegetation health and vegetation type.
5. Modern Aerial Photography
Applications: Tree Preservation, Regeneration, Mineral and Waste Planning
6. Historic Aerial Photography
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Manchester Ship Canal (approx. 1940s)
Thermal Satellite Imagery • Excellent resource for analysing relative heat
loss from: • Buildings • Ground features & • Objects below the ground
• Digital database showing relative heat loss for individual buildings
• Compare heat loss by property • Associate heat loss with specific addresses
• Five level colour classification for ease of use and quick analysis
• Thermal measurement accuracy of 0.018°C; measure heat loss differences of less than 1°C
Thermal image to show heat loss in urban areas
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Alternating Polarisation
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Image Mode
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Radar Collection
Elevation Collection
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1. LiDAR
Ideal for applications requiring height, volume or 3D visualisation information
2. BlueSky DTM
Photogrammetrically Derived 5m resolution Coverage England and Wales Suitable for rural and urban applications
• Identification of residential properties by age & type of structure for many conurbations
• Applications: • Estate management • Direct marketing • Crime analysis • Fire prevention schemes
1. Building Class Data Feature Collection
2. Building Heights Data • Detailed height info for individual building block • Applications
• Telecom network planning • Property management • CCTV location • Noise pollution modelling • Air pollution modelling • Emergency planning
1:1,000 scale topographic mapping, accurately locates buildings, garages, property boundaries, roads, trees and other features
UKMap Data
Learning Zone
Way to cover the linkage between
- satellite data,
- software(s) used to process those data, and
- theory
• The new Learning Zone (LZ) contains 15 courses 68% being new and 32% reworked.
• Semantic structure of LZ – Course (15) – Units (70+) – Topics (100 +)
• Each unit is characterised by four attribute types – Software – Data – Knowledge (theory, practice or application) – Workflow (work processes used in image handling)
Learning Zone Structure
Level & Applications • Airborne Imaging – Basic
– Urban sociologist looking at the change in the urban landscape with time using historic aerial photography
• Applying Heights – Basic/Intermediate – Planning and landscape student wanting to create a basic 3D model of an urban
area in Google Sketch-Up or Global Mapper – Archaeologist wanting to understand how to use LiDAR for getting height values
of an archaeological site • UKMap & Landuse – Basic/Intermediate
– Geography student wanting to gain the skills to assess land use change for an undergraduate dissertation
• Image Processing – Intermediate – Masters students wanting to gain essential image processing skills to incorporate
satellite data into their research • Radar Imaging – Basic/Intermediate
– Ecology Masters/PhD students wanting to learn Radar for the first time and use the data for assessing the phenology of vegetation
• Classification Methods – Advanced – Environmental scientists wanting to create a vegetation map using an object
oriented approach
Technological Framework • Joomla 1.5.25 CMS, Apache Server, Solaris
• Storyboards and Wireframes generated • Teachers/Lecturers – Course Planner • Students/Researchers – Course Selector
• New Graphic Design – distinct from other areas of the Landmap website
• Under discussion to implement • Feedback questionnaire • Discussion Forum
Pedagogic Framework • Structure content into ‘small chunks’ easily digestible on the web.
• Provide a basis for searching of resources and designing activities, feedback and assessment
• Telaman Ltd advised to follow a 6 part Educational Model (Pask, 1975) for each course:
– Context – overview of learning unit, learning objectives, wider context and pre-requisites
– Explanation – Theory and workflows for improving students understanding – Demonstration – step by step instructions of how to undertake a task. – Challenge – put theory and tasks completed together and put into practice
with an exercise (not guided). – Feedback – provides possible outcomes for the activities and suggestions for
revision – Summary – summarise the content and intended learning outcomes and
suggestions for further units to take.
• Currently the learning resources at Landmap can be accessed using institution authentication and look forward to making them open under Creative Commons license in near future.
• Learning Zone for Schools project is almost complete, target launch in 2012 • Covering the range from A-Levels to specialist/PhD level • Looking forward to launch new content in the following areas:
– Image Processing for GRASS – Introduction to OGC Standards
• We buy data, create learning and teaching resources around that data, but not enough in context of L&T and Research work.
• Looking forward to work on engaging more collaborators, researchers and authors
Future Plans/Projects
The Landmap Team
Gail Millin-Chalabi G e o D a t a R e s e a r c h a n d Development Officer
Kamie Kitmito Landmap Manager
James Scumm Geodata Services Software Engineer
Yin Tun Geo Metadata Development Officer
Bharti Gupta Applications Development Programmer
Helpdesk: [email protected] Website: http://landmap.mimas.ac.uk Follow us on Twitter: @Landmap
Thanks for Listening