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: spatial@mimas.ac.uk Website: http://landmap.mimas.ac.uk Follow us on Twitter: @Landmap

Thanks for Listening