|
Edinburgh Research Archive >
Geosciences, School of >
Geography and the Lived Environment Research Institute >
MSc Geographical Information Science thesis collection >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1842/3089
|
Files in This Item:
| File |
Description |
Size | Format |
Research Document.pdf | File only available to GIS staff and students | 11.94 MB | Adobe PDF | | Technical Report.pdf | File only available to GIS staff and students | 56.73 MB | Adobe PDF | |
|
| Title: | Exploring the Role of a Planetary GIS in the Route Selection of Martian Rovers |
| Authors: | Strang, Adam L |
| Supervisor(s): | Mackaness, William |
| Issue Date: | 26-Nov-2009 |
| Abstract: | The route management of a Martian rover is both complex and perilous. Its perambulations subject to myriad constraints: all the while looking to operate at maximum efficacy within an alien environment under the duress of a prohibitively limited operating window. Such a fraught geospatial scenario seems ideally suited to the quantitative analytical power of a GIS and it is the aim of this study to construct and evaluate such a system: critiquing its effectiveness and potential role in mission architecture. Developed with the aid of a nascent high resolution DEM and explored through least-cost path analysis: a series of rover mission scenarios were posited, challenging the systems ability to manage route operations on both strategic and tactical levels. Through data derivation, reclassification and the introduction of supplementary techniques the numerous parameters that inform operations were transferred to within the body of the GIS; enabling it to return routes that responded admirably to topography, anisotropy, technical limitations and the temporal elements of route management. Considering the success achieved in the high-level strategic production and appraisal of routes the systems influence is likely to extend to a noticeable ground-level reduction in the need for computationally expensive navigational techniques, such as visual odometry. |
| Keywords: | Planetary Science NASA GIS Mars Remotely Operated Vehicle DEM Least-Cost Path Analysis Remote Sensing |
| URI: | http://hdl.handle.net/1842/3089 |
| Appears in Collections: | MSc Geographical Information Science thesis collection
|
Items in ERA are protected by copyright, with all rights reserved, unless otherwise indicated.
|