Mapping and monitoring the environmental impacts of mining using hyperspectral data
The use of multi-temporal remotely-sensed airborne hyperspectral data for monitoring environmental conditions associated with mining activities is in its infancy and few publications provide the necessary workflow and guidelines to generate validated information. This thesis provides the environmen...
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| Format: | Thesis |
| Language: | English |
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Curtin University
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/1755 |
| _version_ | 1848743759443918848 |
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| author | Ong, Cindy Chin Hui |
| author_facet | Ong, Cindy Chin Hui |
| author_sort | Ong, Cindy Chin Hui |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The use of multi-temporal remotely-sensed airborne hyperspectral data for monitoring environmental conditions associated with mining activities is in its infancy and few publications provide the necessary workflow and guidelines to generate validated information. This thesis provides the environmental professional with quantitative tools to make informed management decisions.Two case studies were generated to demonstrate the application of hyperspectral data for two of the mining industry’s largest challenges, namely, dust contamination and acid drainage. |
| first_indexed | 2025-11-14T05:50:40Z |
| format | Thesis |
| id | curtin-20.500.11937-1755 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T05:50:40Z |
| publishDate | 2014 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-17552017-02-20T06:37:57Z Mapping and monitoring the environmental impacts of mining using hyperspectral data Ong, Cindy Chin Hui The use of multi-temporal remotely-sensed airborne hyperspectral data for monitoring environmental conditions associated with mining activities is in its infancy and few publications provide the necessary workflow and guidelines to generate validated information. This thesis provides the environmental professional with quantitative tools to make informed management decisions.Two case studies were generated to demonstrate the application of hyperspectral data for two of the mining industry’s largest challenges, namely, dust contamination and acid drainage. 2014 Thesis http://hdl.handle.net/20.500.11937/1755 en Curtin University fulltext |
| spellingShingle | Ong, Cindy Chin Hui Mapping and monitoring the environmental impacts of mining using hyperspectral data |
| title | Mapping and monitoring the environmental impacts of mining using hyperspectral data |
| title_full | Mapping and monitoring the environmental impacts of mining using hyperspectral data |
| title_fullStr | Mapping and monitoring the environmental impacts of mining using hyperspectral data |
| title_full_unstemmed | Mapping and monitoring the environmental impacts of mining using hyperspectral data |
| title_short | Mapping and monitoring the environmental impacts of mining using hyperspectral data |
| title_sort | mapping and monitoring the environmental impacts of mining using hyperspectral data |
| url | http://hdl.handle.net/20.500.11937/1755 |