About the Course:
The use of using robotic vehicles to explore the extreme environments of Earth and the solar system has greatly increased over the last decades. Whilst in the past extreme environments were inaccessible, Remote Operated Vehicles (ROVs) and planetary Rovers now collect large image and sensor data sets. In addition to image collection techniques, the fields of computer processing and data transfer are also developing rapidly. Computer techniques now allow for much greater statistical investigation of features from images, and for data sets to be remotely accessible via the internet from many international institutions simultaneously.
Aimed at new PhD students, masters or undergraduates, 'An Introduction to image analysis and spatial statistics' (IASS) takes an experimental approach to explore how researchers can best manage, analyse and disseminate these emerging data sets. In this rolling, 10 week, remote learning course we introduce students from Earth and Planetary science disciplines to three statistical packages of use in image analysis:
ImageJ - A versatile program for quantifying point counts and areas of coverage within images.
PaSSAGE 2 - A program for the analysis of transect data, including co-variance analysis.
SPSS - We introduce population analysis with the ANOVA facilities offered by SPSS, with comparable freely available packages
also introduced.
..and various other, current software packages with particular relevance to the Planetary and Marine sciences.
In all cases, examples are given from both Earth and Planetary science disciplines for use in teaching. The course is freely accessible to anyone in a ROBEX partner institute. The course resources will additionally be available via download to any other interested users, though without access to the tutor/student component of the course.
Drawing on the experiential learning approach, we introduce image analysis, experimenting with applying spatial statistics in a safe environment, before students begin to utilise their learning and explore wider applications. Housed in Weebly, collaborative learning is promoted through a-synchronous discussion, blogs and wiki building, with a unique ‘field trip’, where work groups dial in to gather real-time data from a deep sea Remote Operated Vehicle (ROV). Synchronous Skype tutorials and a-synchronous quizzes scaffold and continually assess learning from key reading materials.
Prepared by:
Autun Purser & Laurenz Thomsen, Jacobs University, Bremen
Marlene Bamberg & Frank Sohl - DLR, Berlin
and support from the Heimholz ROBEX Alliance, 'ROBotic exploration of Extreme environments’ partners, Ocean Networks Canada and Wally the crawler
Further data have been provided by Jacopo Aguzzi and Carol Doya of CSIC, Barcelona.
Presented by:
Autun Purser / Marlene Bamberg / Laurenz Thomsen
Dates and durations:
The course lasts 10 weeks, and will be started periodically throughout the year.
The next course presentation will start 20th October 2015. Please email [email protected] if you would like to take part.
Gaining transferable ECTS credits:
For the initial runs of this course, official ECTS points will not be provided - we will introduce these if there is demand in the future. The course has been designed to represent approx. 2-5 ECTS credits.
Read more about transferring ECTS Credits between institutions.
Course syllabus
The course is divided into 10 weekly blocks, and will introduce aspects of image and statistical analysis relevant to Planetary and Marine research, and focus particularly on introducing techniques applicable to both sorts of research. Remote collected data is also a focus. PLease explore the Course page for more information.
System requirements
You will need a reliable internet connection to access the content on this site, and to take part in the week 7 'field trip', where we will connect to an under water ROV and collect live data.
Most functions of this site will be supported on mobile platforms, but processing requirements for the field trip require using a PC. With any concerns, please contact us to find out if you can run the ROV from your personal computer.
Other details
This course is taught in English.
The use of using robotic vehicles to explore the extreme environments of Earth and the solar system has greatly increased over the last decades. Whilst in the past extreme environments were inaccessible, Remote Operated Vehicles (ROVs) and planetary Rovers now collect large image and sensor data sets. In addition to image collection techniques, the fields of computer processing and data transfer are also developing rapidly. Computer techniques now allow for much greater statistical investigation of features from images, and for data sets to be remotely accessible via the internet from many international institutions simultaneously.
Aimed at new PhD students, masters or undergraduates, 'An Introduction to image analysis and spatial statistics' (IASS) takes an experimental approach to explore how researchers can best manage, analyse and disseminate these emerging data sets. In this rolling, 10 week, remote learning course we introduce students from Earth and Planetary science disciplines to three statistical packages of use in image analysis:
ImageJ - A versatile program for quantifying point counts and areas of coverage within images.
PaSSAGE 2 - A program for the analysis of transect data, including co-variance analysis.
SPSS - We introduce population analysis with the ANOVA facilities offered by SPSS, with comparable freely available packages
also introduced.
..and various other, current software packages with particular relevance to the Planetary and Marine sciences.
In all cases, examples are given from both Earth and Planetary science disciplines for use in teaching. The course is freely accessible to anyone in a ROBEX partner institute. The course resources will additionally be available via download to any other interested users, though without access to the tutor/student component of the course.
Drawing on the experiential learning approach, we introduce image analysis, experimenting with applying spatial statistics in a safe environment, before students begin to utilise their learning and explore wider applications. Housed in Weebly, collaborative learning is promoted through a-synchronous discussion, blogs and wiki building, with a unique ‘field trip’, where work groups dial in to gather real-time data from a deep sea Remote Operated Vehicle (ROV). Synchronous Skype tutorials and a-synchronous quizzes scaffold and continually assess learning from key reading materials.
Prepared by:
Autun Purser & Laurenz Thomsen, Jacobs University, Bremen
Marlene Bamberg & Frank Sohl - DLR, Berlin
and support from the Heimholz ROBEX Alliance, 'ROBotic exploration of Extreme environments’ partners, Ocean Networks Canada and Wally the crawler
Further data have been provided by Jacopo Aguzzi and Carol Doya of CSIC, Barcelona.
Presented by:
Autun Purser / Marlene Bamberg / Laurenz Thomsen
Dates and durations:
The course lasts 10 weeks, and will be started periodically throughout the year.
The next course presentation will start 20th October 2015. Please email [email protected] if you would like to take part.
Gaining transferable ECTS credits:
For the initial runs of this course, official ECTS points will not be provided - we will introduce these if there is demand in the future. The course has been designed to represent approx. 2-5 ECTS credits.
Read more about transferring ECTS Credits between institutions.
Course syllabus
The course is divided into 10 weekly blocks, and will introduce aspects of image and statistical analysis relevant to Planetary and Marine research, and focus particularly on introducing techniques applicable to both sorts of research. Remote collected data is also a focus. PLease explore the Course page for more information.
System requirements
You will need a reliable internet connection to access the content on this site, and to take part in the week 7 'field trip', where we will connect to an under water ROV and collect live data.
Most functions of this site will be supported on mobile platforms, but processing requirements for the field trip require using a PC. With any concerns, please contact us to find out if you can run the ROV from your personal computer.
Other details
This course is taught in English.