Vegetation recovery and landscape change assessment at Chiufenershan landslide area caused by Chichi earthquake in central Taiwan
Abstract This study discusses vegetation recovery and land cover change with reference to the Chiufenershan landslide, a major disaster caused by the Chichi earthquake, 21 September 1999. Image classification technology, landscape indicators from multi-temporal remotely sensed data and a field surve...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lin, Chao-Yuan [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2009 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media B.V. 2009 |
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| Übergeordnetes Werk: |
Enthalten in: Natural hazards - Springer Netherlands, 1988, 53(2009), 1 vom: 09. Juli, Seite 175-194 |
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| Übergeordnetes Werk: |
volume:53 ; year:2009 ; number:1 ; day:09 ; month:07 ; pages:175-194 |
| Links: |
|---|
| DOI / URN: |
10.1007/s11069-009-9421-0 |
|---|
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OLC2053647558 |
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| 520 | |a Abstract This study discusses vegetation recovery and land cover change with reference to the Chiufenershan landslide, a major disaster caused by the Chichi earthquake, 21 September 1999. Image classification technology, landscape indicators from multi-temporal remotely sensed data and a field survey provide the data. Image differencing methods and threshold values coupled with pre- and post-quake satellite images were used. Multi-temporal images in combination with various vegetation indices were drawn on to classify land cover patterns and discuss differences and suitability of indices. Landscape indicators and field investigations fed into an investigation of vegetation recovery and landscape change. The study results show that the best image classification system is original wavebands coupled with a cropping management factor index (CMFI). The land cover analysis shows that areas of forest and grass are increasing and areas of landslide are decreasing. From the field investigation, because the left and right sides of the landslide area were not disturbed by the earthquake, their calculated similarity index is the highest (30.08%). Miscanthus floridulus is the most dominant pioneer plant at the landslide collapse area with an importance value index (IVI) of 63.6%. | ||
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| 700 | 1 | |a Chuang, Chin-Wei |4 aut | |
| 700 | 1 | |a Lin, Wen-Tzu |4 aut | |
| 700 | 1 | |a Chou, Wen-Chieh |4 aut | |
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10.1007/s11069-009-9421-0 doi (DE-627)OLC2053647558 (DE-He213)s11069-009-9421-0-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Lin, Chao-Yuan verfasserin aut Vegetation recovery and landscape change assessment at Chiufenershan landslide area caused by Chichi earthquake in central Taiwan 2009 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2009 Abstract This study discusses vegetation recovery and land cover change with reference to the Chiufenershan landslide, a major disaster caused by the Chichi earthquake, 21 September 1999. Image classification technology, landscape indicators from multi-temporal remotely sensed data and a field survey provide the data. Image differencing methods and threshold values coupled with pre- and post-quake satellite images were used. Multi-temporal images in combination with various vegetation indices were drawn on to classify land cover patterns and discuss differences and suitability of indices. Landscape indicators and field investigations fed into an investigation of vegetation recovery and landscape change. The study results show that the best image classification system is original wavebands coupled with a cropping management factor index (CMFI). The land cover analysis shows that areas of forest and grass are increasing and areas of landslide are decreasing. From the field investigation, because the left and right sides of the landslide area were not disturbed by the earthquake, their calculated similarity index is the highest (30.08%). Miscanthus floridulus is the most dominant pioneer plant at the landslide collapse area with an importance value index (IVI) of 63.6%. Landslide Remote sensing Vegetation index Vegetation recovery Chuang, Chin-Wei aut Lin, Wen-Tzu aut Chou, Wen-Chieh aut Enthalten in Natural hazards Springer Netherlands, 1988 53(2009), 1 vom: 09. Juli, Seite 175-194 (DE-627)131010271 (DE-600)1088547-X (DE-576)03285272X 0921-030X nnns volume:53 year:2009 number:1 day:09 month:07 pages:175-194 https://doi.org/10.1007/s11069-009-9421-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_24 GBV_ILN_40 GBV_ILN_70 AR 53 2009 1 09 07 175-194 |
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10.1007/s11069-009-9421-0 doi (DE-627)OLC2053647558 (DE-He213)s11069-009-9421-0-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Lin, Chao-Yuan verfasserin aut Vegetation recovery and landscape change assessment at Chiufenershan landslide area caused by Chichi earthquake in central Taiwan 2009 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2009 Abstract This study discusses vegetation recovery and land cover change with reference to the Chiufenershan landslide, a major disaster caused by the Chichi earthquake, 21 September 1999. Image classification technology, landscape indicators from multi-temporal remotely sensed data and a field survey provide the data. Image differencing methods and threshold values coupled with pre- and post-quake satellite images were used. Multi-temporal images in combination with various vegetation indices were drawn on to classify land cover patterns and discuss differences and suitability of indices. Landscape indicators and field investigations fed into an investigation of vegetation recovery and landscape change. The study results show that the best image classification system is original wavebands coupled with a cropping management factor index (CMFI). The land cover analysis shows that areas of forest and grass are increasing and areas of landslide are decreasing. From the field investigation, because the left and right sides of the landslide area were not disturbed by the earthquake, their calculated similarity index is the highest (30.08%). Miscanthus floridulus is the most dominant pioneer plant at the landslide collapse area with an importance value index (IVI) of 63.6%. Landslide Remote sensing Vegetation index Vegetation recovery Chuang, Chin-Wei aut Lin, Wen-Tzu aut Chou, Wen-Chieh aut Enthalten in Natural hazards Springer Netherlands, 1988 53(2009), 1 vom: 09. Juli, Seite 175-194 (DE-627)131010271 (DE-600)1088547-X (DE-576)03285272X 0921-030X nnns volume:53 year:2009 number:1 day:09 month:07 pages:175-194 https://doi.org/10.1007/s11069-009-9421-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_24 GBV_ILN_40 GBV_ILN_70 AR 53 2009 1 09 07 175-194 |
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10.1007/s11069-009-9421-0 doi (DE-627)OLC2053647558 (DE-He213)s11069-009-9421-0-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Lin, Chao-Yuan verfasserin aut Vegetation recovery and landscape change assessment at Chiufenershan landslide area caused by Chichi earthquake in central Taiwan 2009 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2009 Abstract This study discusses vegetation recovery and land cover change with reference to the Chiufenershan landslide, a major disaster caused by the Chichi earthquake, 21 September 1999. Image classification technology, landscape indicators from multi-temporal remotely sensed data and a field survey provide the data. Image differencing methods and threshold values coupled with pre- and post-quake satellite images were used. Multi-temporal images in combination with various vegetation indices were drawn on to classify land cover patterns and discuss differences and suitability of indices. Landscape indicators and field investigations fed into an investigation of vegetation recovery and landscape change. The study results show that the best image classification system is original wavebands coupled with a cropping management factor index (CMFI). The land cover analysis shows that areas of forest and grass are increasing and areas of landslide are decreasing. From the field investigation, because the left and right sides of the landslide area were not disturbed by the earthquake, their calculated similarity index is the highest (30.08%). Miscanthus floridulus is the most dominant pioneer plant at the landslide collapse area with an importance value index (IVI) of 63.6%. Landslide Remote sensing Vegetation index Vegetation recovery Chuang, Chin-Wei aut Lin, Wen-Tzu aut Chou, Wen-Chieh aut Enthalten in Natural hazards Springer Netherlands, 1988 53(2009), 1 vom: 09. Juli, Seite 175-194 (DE-627)131010271 (DE-600)1088547-X (DE-576)03285272X 0921-030X nnns volume:53 year:2009 number:1 day:09 month:07 pages:175-194 https://doi.org/10.1007/s11069-009-9421-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_24 GBV_ILN_40 GBV_ILN_70 AR 53 2009 1 09 07 175-194 |
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10.1007/s11069-009-9421-0 doi (DE-627)OLC2053647558 (DE-He213)s11069-009-9421-0-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Lin, Chao-Yuan verfasserin aut Vegetation recovery and landscape change assessment at Chiufenershan landslide area caused by Chichi earthquake in central Taiwan 2009 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2009 Abstract This study discusses vegetation recovery and land cover change with reference to the Chiufenershan landslide, a major disaster caused by the Chichi earthquake, 21 September 1999. Image classification technology, landscape indicators from multi-temporal remotely sensed data and a field survey provide the data. Image differencing methods and threshold values coupled with pre- and post-quake satellite images were used. Multi-temporal images in combination with various vegetation indices were drawn on to classify land cover patterns and discuss differences and suitability of indices. Landscape indicators and field investigations fed into an investigation of vegetation recovery and landscape change. The study results show that the best image classification system is original wavebands coupled with a cropping management factor index (CMFI). The land cover analysis shows that areas of forest and grass are increasing and areas of landslide are decreasing. From the field investigation, because the left and right sides of the landslide area were not disturbed by the earthquake, their calculated similarity index is the highest (30.08%). Miscanthus floridulus is the most dominant pioneer plant at the landslide collapse area with an importance value index (IVI) of 63.6%. Landslide Remote sensing Vegetation index Vegetation recovery Chuang, Chin-Wei aut Lin, Wen-Tzu aut Chou, Wen-Chieh aut Enthalten in Natural hazards Springer Netherlands, 1988 53(2009), 1 vom: 09. Juli, Seite 175-194 (DE-627)131010271 (DE-600)1088547-X (DE-576)03285272X 0921-030X nnns volume:53 year:2009 number:1 day:09 month:07 pages:175-194 https://doi.org/10.1007/s11069-009-9421-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_24 GBV_ILN_40 GBV_ILN_70 AR 53 2009 1 09 07 175-194 |
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10.1007/s11069-009-9421-0 doi (DE-627)OLC2053647558 (DE-He213)s11069-009-9421-0-p DE-627 ger DE-627 rakwb eng 550 VZ 14 ssgn Lin, Chao-Yuan verfasserin aut Vegetation recovery and landscape change assessment at Chiufenershan landslide area caused by Chichi earthquake in central Taiwan 2009 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2009 Abstract This study discusses vegetation recovery and land cover change with reference to the Chiufenershan landslide, a major disaster caused by the Chichi earthquake, 21 September 1999. Image classification technology, landscape indicators from multi-temporal remotely sensed data and a field survey provide the data. Image differencing methods and threshold values coupled with pre- and post-quake satellite images were used. Multi-temporal images in combination with various vegetation indices were drawn on to classify land cover patterns and discuss differences and suitability of indices. Landscape indicators and field investigations fed into an investigation of vegetation recovery and landscape change. The study results show that the best image classification system is original wavebands coupled with a cropping management factor index (CMFI). The land cover analysis shows that areas of forest and grass are increasing and areas of landslide are decreasing. From the field investigation, because the left and right sides of the landslide area were not disturbed by the earthquake, their calculated similarity index is the highest (30.08%). Miscanthus floridulus is the most dominant pioneer plant at the landslide collapse area with an importance value index (IVI) of 63.6%. Landslide Remote sensing Vegetation index Vegetation recovery Chuang, Chin-Wei aut Lin, Wen-Tzu aut Chou, Wen-Chieh aut Enthalten in Natural hazards Springer Netherlands, 1988 53(2009), 1 vom: 09. Juli, Seite 175-194 (DE-627)131010271 (DE-600)1088547-X (DE-576)03285272X 0921-030X nnns volume:53 year:2009 number:1 day:09 month:07 pages:175-194 https://doi.org/10.1007/s11069-009-9421-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-MAT SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_24 GBV_ILN_40 GBV_ILN_70 AR 53 2009 1 09 07 175-194 |
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Vegetation recovery and landscape change assessment at Chiufenershan landslide area caused by Chichi earthquake in central Taiwan |
| abstract |
Abstract This study discusses vegetation recovery and land cover change with reference to the Chiufenershan landslide, a major disaster caused by the Chichi earthquake, 21 September 1999. Image classification technology, landscape indicators from multi-temporal remotely sensed data and a field survey provide the data. Image differencing methods and threshold values coupled with pre- and post-quake satellite images were used. Multi-temporal images in combination with various vegetation indices were drawn on to classify land cover patterns and discuss differences and suitability of indices. Landscape indicators and field investigations fed into an investigation of vegetation recovery and landscape change. The study results show that the best image classification system is original wavebands coupled with a cropping management factor index (CMFI). The land cover analysis shows that areas of forest and grass are increasing and areas of landslide are decreasing. From the field investigation, because the left and right sides of the landslide area were not disturbed by the earthquake, their calculated similarity index is the highest (30.08%). Miscanthus floridulus is the most dominant pioneer plant at the landslide collapse area with an importance value index (IVI) of 63.6%. © Springer Science+Business Media B.V. 2009 |
| abstractGer |
Abstract This study discusses vegetation recovery and land cover change with reference to the Chiufenershan landslide, a major disaster caused by the Chichi earthquake, 21 September 1999. Image classification technology, landscape indicators from multi-temporal remotely sensed data and a field survey provide the data. Image differencing methods and threshold values coupled with pre- and post-quake satellite images were used. Multi-temporal images in combination with various vegetation indices were drawn on to classify land cover patterns and discuss differences and suitability of indices. Landscape indicators and field investigations fed into an investigation of vegetation recovery and landscape change. The study results show that the best image classification system is original wavebands coupled with a cropping management factor index (CMFI). The land cover analysis shows that areas of forest and grass are increasing and areas of landslide are decreasing. From the field investigation, because the left and right sides of the landslide area were not disturbed by the earthquake, their calculated similarity index is the highest (30.08%). Miscanthus floridulus is the most dominant pioneer plant at the landslide collapse area with an importance value index (IVI) of 63.6%. © Springer Science+Business Media B.V. 2009 |
| abstract_unstemmed |
Abstract This study discusses vegetation recovery and land cover change with reference to the Chiufenershan landslide, a major disaster caused by the Chichi earthquake, 21 September 1999. Image classification technology, landscape indicators from multi-temporal remotely sensed data and a field survey provide the data. Image differencing methods and threshold values coupled with pre- and post-quake satellite images were used. Multi-temporal images in combination with various vegetation indices were drawn on to classify land cover patterns and discuss differences and suitability of indices. Landscape indicators and field investigations fed into an investigation of vegetation recovery and landscape change. The study results show that the best image classification system is original wavebands coupled with a cropping management factor index (CMFI). The land cover analysis shows that areas of forest and grass are increasing and areas of landslide are decreasing. From the field investigation, because the left and right sides of the landslide area were not disturbed by the earthquake, their calculated similarity index is the highest (30.08%). Miscanthus floridulus is the most dominant pioneer plant at the landslide collapse area with an importance value index (IVI) of 63.6%. © Springer Science+Business Media B.V. 2009 |
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| title_short |
Vegetation recovery and landscape change assessment at Chiufenershan landslide area caused by Chichi earthquake in central Taiwan |
| url |
https://doi.org/10.1007/s11069-009-9421-0 |
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false |
| author2 |
Chuang, Chin-Wei Lin, Wen-Tzu Chou, Wen-Chieh |
| author2Str |
Chuang, Chin-Wei Lin, Wen-Tzu Chou, Wen-Chieh |
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| doi_str |
10.1007/s11069-009-9421-0 |
| up_date |
2024-07-03T20:00:24.408Z |
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