Integration of multispectral and SAR data for monitoring forest ecosystems recovery after fire
The aim of this study is assessing the impacts and monitoring the condition and recovery processes of forest ecosystems after fire based on remote aerospace methods and data. To achieve this goal, satellite imagery in microwave and optical range of the spectrum were used. A hybrid model for assessin...
| Main Authors: | , , , |
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| Format: | Conference Paper |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/60441 |
| _version_ | 1848760605844963328 |
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| author | Stankova, N. Nedkov, R. Ivanova, Ivana Avetisyan, D. |
| author_facet | Stankova, N. Nedkov, R. Ivanova, Ivana Avetisyan, D. |
| author_sort | Stankova, N. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The aim of this study is assessing the impacts and monitoring the condition and recovery processes of forest ecosystems after fire based on remote aerospace methods and data. To achieve this goal, satellite imagery in microwave and optical range of the spectrum were used. A hybrid model for assessing the instantaneous condition of forest ecosystems after fire that uses parallel data from optical and Synthetic Aperture Radar (SAR) was developed. Based on the three Tasseled Cap components (Brightness-BR, Greenness-GR and Wetness-W), a vector describing the current condition of the forest ecosystems was obtained and used as input data from the optical range. Results obtained by implementation of the proposed approach show that the integrated composite images of VIC and SAR represent the degree of recovery. |
| first_indexed | 2025-11-14T10:18:26Z |
| format | Conference Paper |
| id | curtin-20.500.11937-60441 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:18:26Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-604412018-05-30T06:13:31Z Integration of multispectral and SAR data for monitoring forest ecosystems recovery after fire Stankova, N. Nedkov, R. Ivanova, Ivana Avetisyan, D. The aim of this study is assessing the impacts and monitoring the condition and recovery processes of forest ecosystems after fire based on remote aerospace methods and data. To achieve this goal, satellite imagery in microwave and optical range of the spectrum were used. A hybrid model for assessing the instantaneous condition of forest ecosystems after fire that uses parallel data from optical and Synthetic Aperture Radar (SAR) was developed. Based on the three Tasseled Cap components (Brightness-BR, Greenness-GR and Wetness-W), a vector describing the current condition of the forest ecosystems was obtained and used as input data from the optical range. Results obtained by implementation of the proposed approach show that the integrated composite images of VIC and SAR represent the degree of recovery. 2017 Conference Paper http://hdl.handle.net/20.500.11937/60441 10.1117/12.2277313 restricted |
| spellingShingle | Stankova, N. Nedkov, R. Ivanova, Ivana Avetisyan, D. Integration of multispectral and SAR data for monitoring forest ecosystems recovery after fire |
| title | Integration of multispectral and SAR data for monitoring forest ecosystems recovery after fire |
| title_full | Integration of multispectral and SAR data for monitoring forest ecosystems recovery after fire |
| title_fullStr | Integration of multispectral and SAR data for monitoring forest ecosystems recovery after fire |
| title_full_unstemmed | Integration of multispectral and SAR data for monitoring forest ecosystems recovery after fire |
| title_short | Integration of multispectral and SAR data for monitoring forest ecosystems recovery after fire |
| title_sort | integration of multispectral and sar data for monitoring forest ecosystems recovery after fire |
| url | http://hdl.handle.net/20.500.11937/60441 |