Monitoring clearcutting and subsequent rapid recovery in Mediterranean coppice forests with Landsat time series
Key message This work analyses the rate of recovery of the spectral signal from clearcut areas of coppice Mediterranean forests using Landsat Time Series (LTS). The analysis revealed a more rapid rate of spectral signal recovery than what was found in previous investigations in boreal and temperate...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Chirici, Gherardo [verfasserIn] Giannetti, Francesca [verfasserIn] Mazza, Erica [verfasserIn] Francini, Saverio [verfasserIn] Travaglini, Davide [verfasserIn] Pegna, Raffaello [verfasserIn] White, Joanne C. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Übergeordnetes Werk: |
Enthalten in: Annals of forest science - Paris : Springer, 1999, 77(2020), 2 vom: 15. Apr. |
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| Übergeordnetes Werk: |
volume:77 ; year:2020 ; number:2 ; day:15 ; month:04 |
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| DOI / URN: |
10.1007/s13595-020-00936-2 |
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SPR039403890 |
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| 520 | |a Key message This work analyses the rate of recovery of the spectral signal from clearcut areas of coppice Mediterranean forests using Landsat Time Series (LTS). The analysis revealed a more rapid rate of spectral signal recovery than what was found in previous investigations in boreal and temperate forests. Context The rate of post-disturbance vegetation recovery is an important component of forest dynamics. Aims In this study, we analyze the recovery of the spectral signal from forest clearcut areas in Mediterranean conditions when the coppice system of forest management is applied. Methods We used LTS surface reflectance data (1999–2015).We generated an annual reference database of clearcuts using visual interpretation and local forest inventory data, and then derived the Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR) spectral trajectories for these clearcuts. From these spectral trajectories, we calculated the Years to Recovery or Y2R, the number of years it takes for a pixel to return to within a specified threshold (i.e., 70%, 80%, 90%, 100%) of its pre-disturbance value. Spectral recovery rates were then corroborated using measures of canopy height derived from airborne laser scanning (ALS) data. Results The coppice system is associated with rapid recovery rates when compared to rates of recovery from seeds or seedlings in temperate and boreal forest conditions. We found that the Y2R derived from the spectral trajectories of post-clearcut NBR and NDVI provided similar characterizations of rapid recovery for the coppice system of forest management applied in our study area. The ALS measures of canopy height indicated that the Y2R metric accurately captured the rapid regeneration of coppice systems. Conclusion The rapid rate of spectral recovery associated with the coppice system is 2–4 years, which contrasts with values reported in boreal and temperate forest environments, where spectral recovery was attained in approximately 10 years. NBR is an effective index for assessing rapid recovery in this forest system. | ||
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| 650 | 4 | |a Disturbance recovery |7 (dpeaa)DE-He213 | |
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| 650 | 4 | |a Satellite images |7 (dpeaa)DE-He213 | |
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| 700 | 1 | |a Travaglini, Davide |e verfasserin |4 aut | |
| 700 | 1 | |a Pegna, Raffaello |e verfasserin |4 aut | |
| 700 | 1 | |a White, Joanne C. |e verfasserin |4 aut | |
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10.1007/s13595-020-00936-2 doi (DE-627)SPR039403890 (DE-599)SPRs13595-020-00936-2-e (SPR)s13595-020-00936-2-e DE-627 ger DE-627 rakwb eng 630 640 ASE 48.00 bkl Chirici, Gherardo verfasserin aut Monitoring clearcutting and subsequent rapid recovery in Mediterranean coppice forests with Landsat time series 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Key message This work analyses the rate of recovery of the spectral signal from clearcut areas of coppice Mediterranean forests using Landsat Time Series (LTS). The analysis revealed a more rapid rate of spectral signal recovery than what was found in previous investigations in boreal and temperate forests. Context The rate of post-disturbance vegetation recovery is an important component of forest dynamics. Aims In this study, we analyze the recovery of the spectral signal from forest clearcut areas in Mediterranean conditions when the coppice system of forest management is applied. Methods We used LTS surface reflectance data (1999–2015).We generated an annual reference database of clearcuts using visual interpretation and local forest inventory data, and then derived the Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR) spectral trajectories for these clearcuts. From these spectral trajectories, we calculated the Years to Recovery or Y2R, the number of years it takes for a pixel to return to within a specified threshold (i.e., 70%, 80%, 90%, 100%) of its pre-disturbance value. Spectral recovery rates were then corroborated using measures of canopy height derived from airborne laser scanning (ALS) data. Results The coppice system is associated with rapid recovery rates when compared to rates of recovery from seeds or seedlings in temperate and boreal forest conditions. We found that the Y2R derived from the spectral trajectories of post-clearcut NBR and NDVI provided similar characterizations of rapid recovery for the coppice system of forest management applied in our study area. The ALS measures of canopy height indicated that the Y2R metric accurately captured the rapid regeneration of coppice systems. Conclusion The rapid rate of spectral recovery associated with the coppice system is 2–4 years, which contrasts with values reported in boreal and temperate forest environments, where spectral recovery was attained in approximately 10 years. NBR is an effective index for assessing rapid recovery in this forest system. Landsat (dpeaa)DE-He213 Forest disturbances (dpeaa)DE-He213 Clearcut (dpeaa)DE-He213 Time series analysis (dpeaa)DE-He213 Remote sensing (dpeaa)DE-He213 Disturbance recovery (dpeaa)DE-He213 Mediterranean forest (dpeaa)DE-He213 Vegetation index (dpeaa)DE-He213 LiDAR (dpeaa)DE-He213 Optical time series images (dpeaa)DE-He213 Satellite images (dpeaa)DE-He213 Coppice (dpeaa)DE-He213 Giannetti, Francesca verfasserin aut Mazza, Erica verfasserin aut Francini, Saverio verfasserin aut Travaglini, Davide verfasserin aut Pegna, Raffaello verfasserin aut White, Joanne C. verfasserin aut Enthalten in Annals of forest science Paris : Springer, 1999 77(2020), 2 vom: 15. Apr. (DE-627)312842457 (DE-600)2012340-1 1297-966X nnns volume:77 year:2020 number:2 day:15 month:04 https://dx.doi.org/10.1007/s13595-020-00936-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-FOR SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 48.00 ASE AR 77 2020 2 15 04 |
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10.1007/s13595-020-00936-2 doi (DE-627)SPR039403890 (DE-599)SPRs13595-020-00936-2-e (SPR)s13595-020-00936-2-e DE-627 ger DE-627 rakwb eng 630 640 ASE 48.00 bkl Chirici, Gherardo verfasserin aut Monitoring clearcutting and subsequent rapid recovery in Mediterranean coppice forests with Landsat time series 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Key message This work analyses the rate of recovery of the spectral signal from clearcut areas of coppice Mediterranean forests using Landsat Time Series (LTS). The analysis revealed a more rapid rate of spectral signal recovery than what was found in previous investigations in boreal and temperate forests. Context The rate of post-disturbance vegetation recovery is an important component of forest dynamics. Aims In this study, we analyze the recovery of the spectral signal from forest clearcut areas in Mediterranean conditions when the coppice system of forest management is applied. Methods We used LTS surface reflectance data (1999–2015).We generated an annual reference database of clearcuts using visual interpretation and local forest inventory data, and then derived the Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR) spectral trajectories for these clearcuts. From these spectral trajectories, we calculated the Years to Recovery or Y2R, the number of years it takes for a pixel to return to within a specified threshold (i.e., 70%, 80%, 90%, 100%) of its pre-disturbance value. Spectral recovery rates were then corroborated using measures of canopy height derived from airborne laser scanning (ALS) data. Results The coppice system is associated with rapid recovery rates when compared to rates of recovery from seeds or seedlings in temperate and boreal forest conditions. We found that the Y2R derived from the spectral trajectories of post-clearcut NBR and NDVI provided similar characterizations of rapid recovery for the coppice system of forest management applied in our study area. The ALS measures of canopy height indicated that the Y2R metric accurately captured the rapid regeneration of coppice systems. Conclusion The rapid rate of spectral recovery associated with the coppice system is 2–4 years, which contrasts with values reported in boreal and temperate forest environments, where spectral recovery was attained in approximately 10 years. NBR is an effective index for assessing rapid recovery in this forest system. Landsat (dpeaa)DE-He213 Forest disturbances (dpeaa)DE-He213 Clearcut (dpeaa)DE-He213 Time series analysis (dpeaa)DE-He213 Remote sensing (dpeaa)DE-He213 Disturbance recovery (dpeaa)DE-He213 Mediterranean forest (dpeaa)DE-He213 Vegetation index (dpeaa)DE-He213 LiDAR (dpeaa)DE-He213 Optical time series images (dpeaa)DE-He213 Satellite images (dpeaa)DE-He213 Coppice (dpeaa)DE-He213 Giannetti, Francesca verfasserin aut Mazza, Erica verfasserin aut Francini, Saverio verfasserin aut Travaglini, Davide verfasserin aut Pegna, Raffaello verfasserin aut White, Joanne C. verfasserin aut Enthalten in Annals of forest science Paris : Springer, 1999 77(2020), 2 vom: 15. Apr. (DE-627)312842457 (DE-600)2012340-1 1297-966X nnns volume:77 year:2020 number:2 day:15 month:04 https://dx.doi.org/10.1007/s13595-020-00936-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-FOR SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 48.00 ASE AR 77 2020 2 15 04 |
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10.1007/s13595-020-00936-2 doi (DE-627)SPR039403890 (DE-599)SPRs13595-020-00936-2-e (SPR)s13595-020-00936-2-e DE-627 ger DE-627 rakwb eng 630 640 ASE 48.00 bkl Chirici, Gherardo verfasserin aut Monitoring clearcutting and subsequent rapid recovery in Mediterranean coppice forests with Landsat time series 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Key message This work analyses the rate of recovery of the spectral signal from clearcut areas of coppice Mediterranean forests using Landsat Time Series (LTS). The analysis revealed a more rapid rate of spectral signal recovery than what was found in previous investigations in boreal and temperate forests. Context The rate of post-disturbance vegetation recovery is an important component of forest dynamics. Aims In this study, we analyze the recovery of the spectral signal from forest clearcut areas in Mediterranean conditions when the coppice system of forest management is applied. Methods We used LTS surface reflectance data (1999–2015).We generated an annual reference database of clearcuts using visual interpretation and local forest inventory data, and then derived the Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR) spectral trajectories for these clearcuts. From these spectral trajectories, we calculated the Years to Recovery or Y2R, the number of years it takes for a pixel to return to within a specified threshold (i.e., 70%, 80%, 90%, 100%) of its pre-disturbance value. Spectral recovery rates were then corroborated using measures of canopy height derived from airborne laser scanning (ALS) data. Results The coppice system is associated with rapid recovery rates when compared to rates of recovery from seeds or seedlings in temperate and boreal forest conditions. We found that the Y2R derived from the spectral trajectories of post-clearcut NBR and NDVI provided similar characterizations of rapid recovery for the coppice system of forest management applied in our study area. The ALS measures of canopy height indicated that the Y2R metric accurately captured the rapid regeneration of coppice systems. Conclusion The rapid rate of spectral recovery associated with the coppice system is 2–4 years, which contrasts with values reported in boreal and temperate forest environments, where spectral recovery was attained in approximately 10 years. NBR is an effective index for assessing rapid recovery in this forest system. Landsat (dpeaa)DE-He213 Forest disturbances (dpeaa)DE-He213 Clearcut (dpeaa)DE-He213 Time series analysis (dpeaa)DE-He213 Remote sensing (dpeaa)DE-He213 Disturbance recovery (dpeaa)DE-He213 Mediterranean forest (dpeaa)DE-He213 Vegetation index (dpeaa)DE-He213 LiDAR (dpeaa)DE-He213 Optical time series images (dpeaa)DE-He213 Satellite images (dpeaa)DE-He213 Coppice (dpeaa)DE-He213 Giannetti, Francesca verfasserin aut Mazza, Erica verfasserin aut Francini, Saverio verfasserin aut Travaglini, Davide verfasserin aut Pegna, Raffaello verfasserin aut White, Joanne C. verfasserin aut Enthalten in Annals of forest science Paris : Springer, 1999 77(2020), 2 vom: 15. Apr. (DE-627)312842457 (DE-600)2012340-1 1297-966X nnns volume:77 year:2020 number:2 day:15 month:04 https://dx.doi.org/10.1007/s13595-020-00936-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-FOR SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 48.00 ASE AR 77 2020 2 15 04 |
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10.1007/s13595-020-00936-2 doi (DE-627)SPR039403890 (DE-599)SPRs13595-020-00936-2-e (SPR)s13595-020-00936-2-e DE-627 ger DE-627 rakwb eng 630 640 ASE 48.00 bkl Chirici, Gherardo verfasserin aut Monitoring clearcutting and subsequent rapid recovery in Mediterranean coppice forests with Landsat time series 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Key message This work analyses the rate of recovery of the spectral signal from clearcut areas of coppice Mediterranean forests using Landsat Time Series (LTS). The analysis revealed a more rapid rate of spectral signal recovery than what was found in previous investigations in boreal and temperate forests. Context The rate of post-disturbance vegetation recovery is an important component of forest dynamics. Aims In this study, we analyze the recovery of the spectral signal from forest clearcut areas in Mediterranean conditions when the coppice system of forest management is applied. Methods We used LTS surface reflectance data (1999–2015).We generated an annual reference database of clearcuts using visual interpretation and local forest inventory data, and then derived the Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR) spectral trajectories for these clearcuts. From these spectral trajectories, we calculated the Years to Recovery or Y2R, the number of years it takes for a pixel to return to within a specified threshold (i.e., 70%, 80%, 90%, 100%) of its pre-disturbance value. Spectral recovery rates were then corroborated using measures of canopy height derived from airborne laser scanning (ALS) data. Results The coppice system is associated with rapid recovery rates when compared to rates of recovery from seeds or seedlings in temperate and boreal forest conditions. We found that the Y2R derived from the spectral trajectories of post-clearcut NBR and NDVI provided similar characterizations of rapid recovery for the coppice system of forest management applied in our study area. The ALS measures of canopy height indicated that the Y2R metric accurately captured the rapid regeneration of coppice systems. Conclusion The rapid rate of spectral recovery associated with the coppice system is 2–4 years, which contrasts with values reported in boreal and temperate forest environments, where spectral recovery was attained in approximately 10 years. NBR is an effective index for assessing rapid recovery in this forest system. Landsat (dpeaa)DE-He213 Forest disturbances (dpeaa)DE-He213 Clearcut (dpeaa)DE-He213 Time series analysis (dpeaa)DE-He213 Remote sensing (dpeaa)DE-He213 Disturbance recovery (dpeaa)DE-He213 Mediterranean forest (dpeaa)DE-He213 Vegetation index (dpeaa)DE-He213 LiDAR (dpeaa)DE-He213 Optical time series images (dpeaa)DE-He213 Satellite images (dpeaa)DE-He213 Coppice (dpeaa)DE-He213 Giannetti, Francesca verfasserin aut Mazza, Erica verfasserin aut Francini, Saverio verfasserin aut Travaglini, Davide verfasserin aut Pegna, Raffaello verfasserin aut White, Joanne C. verfasserin aut Enthalten in Annals of forest science Paris : Springer, 1999 77(2020), 2 vom: 15. Apr. (DE-627)312842457 (DE-600)2012340-1 1297-966X nnns volume:77 year:2020 number:2 day:15 month:04 https://dx.doi.org/10.1007/s13595-020-00936-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-FOR SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 48.00 ASE AR 77 2020 2 15 04 |
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10.1007/s13595-020-00936-2 doi (DE-627)SPR039403890 (DE-599)SPRs13595-020-00936-2-e (SPR)s13595-020-00936-2-e DE-627 ger DE-627 rakwb eng 630 640 ASE 48.00 bkl Chirici, Gherardo verfasserin aut Monitoring clearcutting and subsequent rapid recovery in Mediterranean coppice forests with Landsat time series 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Key message This work analyses the rate of recovery of the spectral signal from clearcut areas of coppice Mediterranean forests using Landsat Time Series (LTS). The analysis revealed a more rapid rate of spectral signal recovery than what was found in previous investigations in boreal and temperate forests. Context The rate of post-disturbance vegetation recovery is an important component of forest dynamics. Aims In this study, we analyze the recovery of the spectral signal from forest clearcut areas in Mediterranean conditions when the coppice system of forest management is applied. Methods We used LTS surface reflectance data (1999–2015).We generated an annual reference database of clearcuts using visual interpretation and local forest inventory data, and then derived the Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR) spectral trajectories for these clearcuts. From these spectral trajectories, we calculated the Years to Recovery or Y2R, the number of years it takes for a pixel to return to within a specified threshold (i.e., 70%, 80%, 90%, 100%) of its pre-disturbance value. Spectral recovery rates were then corroborated using measures of canopy height derived from airborne laser scanning (ALS) data. Results The coppice system is associated with rapid recovery rates when compared to rates of recovery from seeds or seedlings in temperate and boreal forest conditions. We found that the Y2R derived from the spectral trajectories of post-clearcut NBR and NDVI provided similar characterizations of rapid recovery for the coppice system of forest management applied in our study area. The ALS measures of canopy height indicated that the Y2R metric accurately captured the rapid regeneration of coppice systems. Conclusion The rapid rate of spectral recovery associated with the coppice system is 2–4 years, which contrasts with values reported in boreal and temperate forest environments, where spectral recovery was attained in approximately 10 years. NBR is an effective index for assessing rapid recovery in this forest system. Landsat (dpeaa)DE-He213 Forest disturbances (dpeaa)DE-He213 Clearcut (dpeaa)DE-He213 Time series analysis (dpeaa)DE-He213 Remote sensing (dpeaa)DE-He213 Disturbance recovery (dpeaa)DE-He213 Mediterranean forest (dpeaa)DE-He213 Vegetation index (dpeaa)DE-He213 LiDAR (dpeaa)DE-He213 Optical time series images (dpeaa)DE-He213 Satellite images (dpeaa)DE-He213 Coppice (dpeaa)DE-He213 Giannetti, Francesca verfasserin aut Mazza, Erica verfasserin aut Francini, Saverio verfasserin aut Travaglini, Davide verfasserin aut Pegna, Raffaello verfasserin aut White, Joanne C. verfasserin aut Enthalten in Annals of forest science Paris : Springer, 1999 77(2020), 2 vom: 15. Apr. (DE-627)312842457 (DE-600)2012340-1 1297-966X nnns volume:77 year:2020 number:2 day:15 month:04 https://dx.doi.org/10.1007/s13595-020-00936-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-FOR SSG-OPC-ASE GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_90 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 48.00 ASE AR 77 2020 2 15 04 |
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Monitoring clearcutting and subsequent rapid recovery in Mediterranean coppice forests with Landsat time series |
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Chirici, Gherardo |
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Annals of forest science |
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Chirici, Gherardo Giannetti, Francesca Mazza, Erica Francini, Saverio Travaglini, Davide Pegna, Raffaello White, Joanne C. |
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Chirici, Gherardo |
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monitoring clearcutting and subsequent rapid recovery in mediterranean coppice forests with landsat time series |
| title_auth |
Monitoring clearcutting and subsequent rapid recovery in Mediterranean coppice forests with Landsat time series |
| abstract |
Key message This work analyses the rate of recovery of the spectral signal from clearcut areas of coppice Mediterranean forests using Landsat Time Series (LTS). The analysis revealed a more rapid rate of spectral signal recovery than what was found in previous investigations in boreal and temperate forests. Context The rate of post-disturbance vegetation recovery is an important component of forest dynamics. Aims In this study, we analyze the recovery of the spectral signal from forest clearcut areas in Mediterranean conditions when the coppice system of forest management is applied. Methods We used LTS surface reflectance data (1999–2015).We generated an annual reference database of clearcuts using visual interpretation and local forest inventory data, and then derived the Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR) spectral trajectories for these clearcuts. From these spectral trajectories, we calculated the Years to Recovery or Y2R, the number of years it takes for a pixel to return to within a specified threshold (i.e., 70%, 80%, 90%, 100%) of its pre-disturbance value. Spectral recovery rates were then corroborated using measures of canopy height derived from airborne laser scanning (ALS) data. Results The coppice system is associated with rapid recovery rates when compared to rates of recovery from seeds or seedlings in temperate and boreal forest conditions. We found that the Y2R derived from the spectral trajectories of post-clearcut NBR and NDVI provided similar characterizations of rapid recovery for the coppice system of forest management applied in our study area. The ALS measures of canopy height indicated that the Y2R metric accurately captured the rapid regeneration of coppice systems. Conclusion The rapid rate of spectral recovery associated with the coppice system is 2–4 years, which contrasts with values reported in boreal and temperate forest environments, where spectral recovery was attained in approximately 10 years. NBR is an effective index for assessing rapid recovery in this forest system. |
| abstractGer |
Key message This work analyses the rate of recovery of the spectral signal from clearcut areas of coppice Mediterranean forests using Landsat Time Series (LTS). The analysis revealed a more rapid rate of spectral signal recovery than what was found in previous investigations in boreal and temperate forests. Context The rate of post-disturbance vegetation recovery is an important component of forest dynamics. Aims In this study, we analyze the recovery of the spectral signal from forest clearcut areas in Mediterranean conditions when the coppice system of forest management is applied. Methods We used LTS surface reflectance data (1999–2015).We generated an annual reference database of clearcuts using visual interpretation and local forest inventory data, and then derived the Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR) spectral trajectories for these clearcuts. From these spectral trajectories, we calculated the Years to Recovery or Y2R, the number of years it takes for a pixel to return to within a specified threshold (i.e., 70%, 80%, 90%, 100%) of its pre-disturbance value. Spectral recovery rates were then corroborated using measures of canopy height derived from airborne laser scanning (ALS) data. Results The coppice system is associated with rapid recovery rates when compared to rates of recovery from seeds or seedlings in temperate and boreal forest conditions. We found that the Y2R derived from the spectral trajectories of post-clearcut NBR and NDVI provided similar characterizations of rapid recovery for the coppice system of forest management applied in our study area. The ALS measures of canopy height indicated that the Y2R metric accurately captured the rapid regeneration of coppice systems. Conclusion The rapid rate of spectral recovery associated with the coppice system is 2–4 years, which contrasts with values reported in boreal and temperate forest environments, where spectral recovery was attained in approximately 10 years. NBR is an effective index for assessing rapid recovery in this forest system. |
| abstract_unstemmed |
Key message This work analyses the rate of recovery of the spectral signal from clearcut areas of coppice Mediterranean forests using Landsat Time Series (LTS). The analysis revealed a more rapid rate of spectral signal recovery than what was found in previous investigations in boreal and temperate forests. Context The rate of post-disturbance vegetation recovery is an important component of forest dynamics. Aims In this study, we analyze the recovery of the spectral signal from forest clearcut areas in Mediterranean conditions when the coppice system of forest management is applied. Methods We used LTS surface reflectance data (1999–2015).We generated an annual reference database of clearcuts using visual interpretation and local forest inventory data, and then derived the Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR) spectral trajectories for these clearcuts. From these spectral trajectories, we calculated the Years to Recovery or Y2R, the number of years it takes for a pixel to return to within a specified threshold (i.e., 70%, 80%, 90%, 100%) of its pre-disturbance value. Spectral recovery rates were then corroborated using measures of canopy height derived from airborne laser scanning (ALS) data. Results The coppice system is associated with rapid recovery rates when compared to rates of recovery from seeds or seedlings in temperate and boreal forest conditions. We found that the Y2R derived from the spectral trajectories of post-clearcut NBR and NDVI provided similar characterizations of rapid recovery for the coppice system of forest management applied in our study area. The ALS measures of canopy height indicated that the Y2R metric accurately captured the rapid regeneration of coppice systems. Conclusion The rapid rate of spectral recovery associated with the coppice system is 2–4 years, which contrasts with values reported in boreal and temperate forest environments, where spectral recovery was attained in approximately 10 years. NBR is an effective index for assessing rapid recovery in this forest system. |
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Monitoring clearcutting and subsequent rapid recovery in Mediterranean coppice forests with Landsat time series |
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https://dx.doi.org/10.1007/s13595-020-00936-2 |
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Giannetti, Francesca Mazza, Erica Francini, Saverio Travaglini, Davide Pegna, Raffaello White, Joanne C. |
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