Satellite image analysis for environment studies |
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Author: | Mansouri Serenjianeh, Arman1 |
Organizations: |
1University of Oulu, Faculty of Information Technology and Electrical Engineering, Computer Science |
Format: | ebook |
Version: | published version |
Access: | open |
Online Access: | PDF Full Text (PDF, 4.7 MB) |
Pages: | 63 |
Persistent link: | http://urn.fi/URN:NBN:fi:oulu-202106188583 |
Language: | English |
Published: |
Oulu : A. Mansouri Serenjianeh,
2021
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Publish Date: | 2021-06-23 |
Thesis type: | Master's thesis (tech) |
Tutor: |
Oussalah, Mourad Torabi Haghighi, Ali |
Reviewer: |
Rossi, Pekka Matias Oussalah, Mourad |
Description: |
Abstract In Finnish gold mining, passive treatment plays a significant role in filtration of mining-influenced water, which has important impacts on aquatic and terrestrial ecosystems such as peatlands. The unstable and unpredictable natural factors and parameters such as temperature, sunlight, and rainfall during gold extraction, have made the analysis of the mine operation impact assessment (MOIA) very challenging, which calls for further research on the issue. This study uses remote sensing data from a reference area to test a new technique for MOIA. The approach makes use of the normalized difference vegetation index (NDVI) of images captured from Landsat satellites, before and during the operation of gold mine from the impacted peatlands and surrounding areas, followed by a correlation analysis and impact assessment. The results demonstrate the feasibility of the approach to predict the status of peatlands in the vicinity of the mining site. The analysis also showed the influence of the temperature and water treatment operation on the target peatlands, which can pave the way for the development of future MOIA tools for peatland drainage. see all
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Copyright information: |
© Arman Mansouri Serenjianeh, 2021. Except otherwise noted, the reuse of this document is authorised under a Creative Commons Attribution 4.0 International (CC-BY 4.0) licence (https://creativecommons.org/licenses/by/4.0/). This means that reuse is allowed provided appropriate credit is given and any changes are indicated. For any use or reproduction of elements that are not owned by the author(s), permission may need to be directly from the respective right holders. |
https://creativecommons.org/licenses/by/4.0/ |