Satellite detection of land-use change and effects on regional forest aboveground biomass estimates
Abstract We used remote-sensing-driven models to detect land-cover change effects on forest aboveground biomass (AGB) density (Mg·$ ha^{−1} $, dry weight) and total AGB (Tg) in Minnesota, Wisconsin, and Michigan USA, between the years 1992–2001, and conducted an evaluation of the approach. Inputs in...
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Gespeichert in:
| Autor*in: |
Zheng, Daolan [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2007 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media B.V. 2007 |
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| Übergeordnetes Werk: |
Enthalten in: Environmental monitoring and assessment - Springer Netherlands, 1981, 144(2007), 1-3 vom: 20. Sept., Seite 67-79 |
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| Übergeordnetes Werk: |
volume:144 ; year:2007 ; number:1-3 ; day:20 ; month:09 ; pages:67-79 |
| Links: |
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| DOI / URN: |
10.1007/s10661-007-9946-1 |
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| Katalog-ID: |
OLC2073729851 |
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| 245 | 1 | 0 | |a Satellite detection of land-use change and effects on regional forest aboveground biomass estimates |
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| 520 | |a Abstract We used remote-sensing-driven models to detect land-cover change effects on forest aboveground biomass (AGB) density (Mg·$ ha^{−1} $, dry weight) and total AGB (Tg) in Minnesota, Wisconsin, and Michigan USA, between the years 1992–2001, and conducted an evaluation of the approach. Inputs included remotely-sensed 1992 reflectance data and land-cover map (University of Maryland) from Advanced Very High Resolution Radiometer (AVHRR) and 2001 products from Moderate Resolution Imaging Spectroradiometer (MODIS) at 1-km resolution for the region; and 30-m resolution land-cover maps from the National Land Cover Data (NLCD) for a subarea to conduct nine simulations to address our questions. Sensitivity analysis showed that (1) AVHRR data tended to underestimate AGB density by 11%, on average, compared to that estimated using MODIS data; (2) regional mean AGB density increased slightly from 124 (1992) to 126 Mg $ ha^{−1} $ (2001) by 1.6%; (3) a substantial decrease in total forest AGB across the region was detected, from 2,507 (1992) to 1,961 Tg (2001), an annual rate of −2.4%; and (4) in the subarea, while NLCD-based estimates suggested a 26% decrease in total AGB from 1992 to 2001, AVHRR/MODIS-based estimates indicated a 36% increase. The major source of uncertainty in change detection of total forest AGB over large areas was due to area differences from using land-cover maps produced by different sources. Scaling up 30-m land-cover map to 1-km resolution caused a mean difference of 8% (in absolute value) in forest area estimates at the county-level ranging from 0 to 17% within a 95% confidence interval. | ||
| 650 | 4 | |a Biomass density | |
| 650 | 4 | |a Change detection | |
| 650 | 4 | |a Land-cover map | |
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| 650 | 4 | |a Total biomass | |
| 700 | 1 | |a Heath, Linda S. |4 aut | |
| 700 | 1 | |a Ducey, Mark J. |4 aut | |
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10.1007/s10661-007-9946-1 doi (DE-627)OLC2073729851 (DE-He213)s10661-007-9946-1-p DE-627 ger DE-627 rakwb eng 333.7 VZ Zheng, Daolan verfasserin aut Satellite detection of land-use change and effects on regional forest aboveground biomass estimates 2007 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2007 Abstract We used remote-sensing-driven models to detect land-cover change effects on forest aboveground biomass (AGB) density (Mg·$ ha^{−1} $, dry weight) and total AGB (Tg) in Minnesota, Wisconsin, and Michigan USA, between the years 1992–2001, and conducted an evaluation of the approach. Inputs included remotely-sensed 1992 reflectance data and land-cover map (University of Maryland) from Advanced Very High Resolution Radiometer (AVHRR) and 2001 products from Moderate Resolution Imaging Spectroradiometer (MODIS) at 1-km resolution for the region; and 30-m resolution land-cover maps from the National Land Cover Data (NLCD) for a subarea to conduct nine simulations to address our questions. Sensitivity analysis showed that (1) AVHRR data tended to underestimate AGB density by 11%, on average, compared to that estimated using MODIS data; (2) regional mean AGB density increased slightly from 124 (1992) to 126 Mg $ ha^{−1} $ (2001) by 1.6%; (3) a substantial decrease in total forest AGB across the region was detected, from 2,507 (1992) to 1,961 Tg (2001), an annual rate of −2.4%; and (4) in the subarea, while NLCD-based estimates suggested a 26% decrease in total AGB from 1992 to 2001, AVHRR/MODIS-based estimates indicated a 36% increase. The major source of uncertainty in change detection of total forest AGB over large areas was due to area differences from using land-cover maps produced by different sources. Scaling up 30-m land-cover map to 1-km resolution caused a mean difference of 8% (in absolute value) in forest area estimates at the county-level ranging from 0 to 17% within a 95% confidence interval. Biomass density Change detection Land-cover map Remote sensing Total biomass Heath, Linda S. aut Ducey, Mark J. aut Enthalten in Environmental monitoring and assessment Springer Netherlands, 1981 144(2007), 1-3 vom: 20. Sept., Seite 67-79 (DE-627)130549649 (DE-600)782621-7 (DE-576)476125413 0167-6369 nnns volume:144 year:2007 number:1-3 day:20 month:09 pages:67-79 https://doi.org/10.1007/s10661-007-9946-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-FOR SSG-OLC-IBL GBV_ILN_22 GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4219 AR 144 2007 1-3 20 09 67-79 |
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10.1007/s10661-007-9946-1 doi (DE-627)OLC2073729851 (DE-He213)s10661-007-9946-1-p DE-627 ger DE-627 rakwb eng 333.7 VZ Zheng, Daolan verfasserin aut Satellite detection of land-use change and effects on regional forest aboveground biomass estimates 2007 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2007 Abstract We used remote-sensing-driven models to detect land-cover change effects on forest aboveground biomass (AGB) density (Mg·$ ha^{−1} $, dry weight) and total AGB (Tg) in Minnesota, Wisconsin, and Michigan USA, between the years 1992–2001, and conducted an evaluation of the approach. Inputs included remotely-sensed 1992 reflectance data and land-cover map (University of Maryland) from Advanced Very High Resolution Radiometer (AVHRR) and 2001 products from Moderate Resolution Imaging Spectroradiometer (MODIS) at 1-km resolution for the region; and 30-m resolution land-cover maps from the National Land Cover Data (NLCD) for a subarea to conduct nine simulations to address our questions. Sensitivity analysis showed that (1) AVHRR data tended to underestimate AGB density by 11%, on average, compared to that estimated using MODIS data; (2) regional mean AGB density increased slightly from 124 (1992) to 126 Mg $ ha^{−1} $ (2001) by 1.6%; (3) a substantial decrease in total forest AGB across the region was detected, from 2,507 (1992) to 1,961 Tg (2001), an annual rate of −2.4%; and (4) in the subarea, while NLCD-based estimates suggested a 26% decrease in total AGB from 1992 to 2001, AVHRR/MODIS-based estimates indicated a 36% increase. The major source of uncertainty in change detection of total forest AGB over large areas was due to area differences from using land-cover maps produced by different sources. Scaling up 30-m land-cover map to 1-km resolution caused a mean difference of 8% (in absolute value) in forest area estimates at the county-level ranging from 0 to 17% within a 95% confidence interval. Biomass density Change detection Land-cover map Remote sensing Total biomass Heath, Linda S. aut Ducey, Mark J. aut Enthalten in Environmental monitoring and assessment Springer Netherlands, 1981 144(2007), 1-3 vom: 20. Sept., Seite 67-79 (DE-627)130549649 (DE-600)782621-7 (DE-576)476125413 0167-6369 nnns volume:144 year:2007 number:1-3 day:20 month:09 pages:67-79 https://doi.org/10.1007/s10661-007-9946-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-FOR SSG-OLC-IBL GBV_ILN_22 GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4219 AR 144 2007 1-3 20 09 67-79 |
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10.1007/s10661-007-9946-1 doi (DE-627)OLC2073729851 (DE-He213)s10661-007-9946-1-p DE-627 ger DE-627 rakwb eng 333.7 VZ Zheng, Daolan verfasserin aut Satellite detection of land-use change and effects on regional forest aboveground biomass estimates 2007 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2007 Abstract We used remote-sensing-driven models to detect land-cover change effects on forest aboveground biomass (AGB) density (Mg·$ ha^{−1} $, dry weight) and total AGB (Tg) in Minnesota, Wisconsin, and Michigan USA, between the years 1992–2001, and conducted an evaluation of the approach. Inputs included remotely-sensed 1992 reflectance data and land-cover map (University of Maryland) from Advanced Very High Resolution Radiometer (AVHRR) and 2001 products from Moderate Resolution Imaging Spectroradiometer (MODIS) at 1-km resolution for the region; and 30-m resolution land-cover maps from the National Land Cover Data (NLCD) for a subarea to conduct nine simulations to address our questions. Sensitivity analysis showed that (1) AVHRR data tended to underestimate AGB density by 11%, on average, compared to that estimated using MODIS data; (2) regional mean AGB density increased slightly from 124 (1992) to 126 Mg $ ha^{−1} $ (2001) by 1.6%; (3) a substantial decrease in total forest AGB across the region was detected, from 2,507 (1992) to 1,961 Tg (2001), an annual rate of −2.4%; and (4) in the subarea, while NLCD-based estimates suggested a 26% decrease in total AGB from 1992 to 2001, AVHRR/MODIS-based estimates indicated a 36% increase. The major source of uncertainty in change detection of total forest AGB over large areas was due to area differences from using land-cover maps produced by different sources. Scaling up 30-m land-cover map to 1-km resolution caused a mean difference of 8% (in absolute value) in forest area estimates at the county-level ranging from 0 to 17% within a 95% confidence interval. Biomass density Change detection Land-cover map Remote sensing Total biomass Heath, Linda S. aut Ducey, Mark J. aut Enthalten in Environmental monitoring and assessment Springer Netherlands, 1981 144(2007), 1-3 vom: 20. Sept., Seite 67-79 (DE-627)130549649 (DE-600)782621-7 (DE-576)476125413 0167-6369 nnns volume:144 year:2007 number:1-3 day:20 month:09 pages:67-79 https://doi.org/10.1007/s10661-007-9946-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-FOR SSG-OLC-IBL GBV_ILN_22 GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4219 AR 144 2007 1-3 20 09 67-79 |
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10.1007/s10661-007-9946-1 doi (DE-627)OLC2073729851 (DE-He213)s10661-007-9946-1-p DE-627 ger DE-627 rakwb eng 333.7 VZ Zheng, Daolan verfasserin aut Satellite detection of land-use change and effects on regional forest aboveground biomass estimates 2007 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2007 Abstract We used remote-sensing-driven models to detect land-cover change effects on forest aboveground biomass (AGB) density (Mg·$ ha^{−1} $, dry weight) and total AGB (Tg) in Minnesota, Wisconsin, and Michigan USA, between the years 1992–2001, and conducted an evaluation of the approach. Inputs included remotely-sensed 1992 reflectance data and land-cover map (University of Maryland) from Advanced Very High Resolution Radiometer (AVHRR) and 2001 products from Moderate Resolution Imaging Spectroradiometer (MODIS) at 1-km resolution for the region; and 30-m resolution land-cover maps from the National Land Cover Data (NLCD) for a subarea to conduct nine simulations to address our questions. Sensitivity analysis showed that (1) AVHRR data tended to underestimate AGB density by 11%, on average, compared to that estimated using MODIS data; (2) regional mean AGB density increased slightly from 124 (1992) to 126 Mg $ ha^{−1} $ (2001) by 1.6%; (3) a substantial decrease in total forest AGB across the region was detected, from 2,507 (1992) to 1,961 Tg (2001), an annual rate of −2.4%; and (4) in the subarea, while NLCD-based estimates suggested a 26% decrease in total AGB from 1992 to 2001, AVHRR/MODIS-based estimates indicated a 36% increase. The major source of uncertainty in change detection of total forest AGB over large areas was due to area differences from using land-cover maps produced by different sources. Scaling up 30-m land-cover map to 1-km resolution caused a mean difference of 8% (in absolute value) in forest area estimates at the county-level ranging from 0 to 17% within a 95% confidence interval. Biomass density Change detection Land-cover map Remote sensing Total biomass Heath, Linda S. aut Ducey, Mark J. aut Enthalten in Environmental monitoring and assessment Springer Netherlands, 1981 144(2007), 1-3 vom: 20. Sept., Seite 67-79 (DE-627)130549649 (DE-600)782621-7 (DE-576)476125413 0167-6369 nnns volume:144 year:2007 number:1-3 day:20 month:09 pages:67-79 https://doi.org/10.1007/s10661-007-9946-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-FOR SSG-OLC-IBL GBV_ILN_22 GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4219 AR 144 2007 1-3 20 09 67-79 |
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10.1007/s10661-007-9946-1 doi (DE-627)OLC2073729851 (DE-He213)s10661-007-9946-1-p DE-627 ger DE-627 rakwb eng 333.7 VZ Zheng, Daolan verfasserin aut Satellite detection of land-use change and effects on regional forest aboveground biomass estimates 2007 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2007 Abstract We used remote-sensing-driven models to detect land-cover change effects on forest aboveground biomass (AGB) density (Mg·$ ha^{−1} $, dry weight) and total AGB (Tg) in Minnesota, Wisconsin, and Michigan USA, between the years 1992–2001, and conducted an evaluation of the approach. Inputs included remotely-sensed 1992 reflectance data and land-cover map (University of Maryland) from Advanced Very High Resolution Radiometer (AVHRR) and 2001 products from Moderate Resolution Imaging Spectroradiometer (MODIS) at 1-km resolution for the region; and 30-m resolution land-cover maps from the National Land Cover Data (NLCD) for a subarea to conduct nine simulations to address our questions. Sensitivity analysis showed that (1) AVHRR data tended to underestimate AGB density by 11%, on average, compared to that estimated using MODIS data; (2) regional mean AGB density increased slightly from 124 (1992) to 126 Mg $ ha^{−1} $ (2001) by 1.6%; (3) a substantial decrease in total forest AGB across the region was detected, from 2,507 (1992) to 1,961 Tg (2001), an annual rate of −2.4%; and (4) in the subarea, while NLCD-based estimates suggested a 26% decrease in total AGB from 1992 to 2001, AVHRR/MODIS-based estimates indicated a 36% increase. The major source of uncertainty in change detection of total forest AGB over large areas was due to area differences from using land-cover maps produced by different sources. Scaling up 30-m land-cover map to 1-km resolution caused a mean difference of 8% (in absolute value) in forest area estimates at the county-level ranging from 0 to 17% within a 95% confidence interval. Biomass density Change detection Land-cover map Remote sensing Total biomass Heath, Linda S. aut Ducey, Mark J. aut Enthalten in Environmental monitoring and assessment Springer Netherlands, 1981 144(2007), 1-3 vom: 20. Sept., Seite 67-79 (DE-627)130549649 (DE-600)782621-7 (DE-576)476125413 0167-6369 nnns volume:144 year:2007 number:1-3 day:20 month:09 pages:67-79 https://doi.org/10.1007/s10661-007-9946-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-FOR SSG-OLC-IBL GBV_ILN_22 GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4219 AR 144 2007 1-3 20 09 67-79 |
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| author |
Zheng, Daolan |
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333.7 VZ Satellite detection of land-use change and effects on regional forest aboveground biomass estimates Biomass density Change detection Land-cover map Remote sensing Total biomass |
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Satellite detection of land-use change and effects on regional forest aboveground biomass estimates |
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Zheng, Daolan Heath, Linda S. Ducey, Mark J. |
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satellite detection of land-use change and effects on regional forest aboveground biomass estimates |
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Satellite detection of land-use change and effects on regional forest aboveground biomass estimates |
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Abstract We used remote-sensing-driven models to detect land-cover change effects on forest aboveground biomass (AGB) density (Mg·$ ha^{−1} $, dry weight) and total AGB (Tg) in Minnesota, Wisconsin, and Michigan USA, between the years 1992–2001, and conducted an evaluation of the approach. Inputs included remotely-sensed 1992 reflectance data and land-cover map (University of Maryland) from Advanced Very High Resolution Radiometer (AVHRR) and 2001 products from Moderate Resolution Imaging Spectroradiometer (MODIS) at 1-km resolution for the region; and 30-m resolution land-cover maps from the National Land Cover Data (NLCD) for a subarea to conduct nine simulations to address our questions. Sensitivity analysis showed that (1) AVHRR data tended to underestimate AGB density by 11%, on average, compared to that estimated using MODIS data; (2) regional mean AGB density increased slightly from 124 (1992) to 126 Mg $ ha^{−1} $ (2001) by 1.6%; (3) a substantial decrease in total forest AGB across the region was detected, from 2,507 (1992) to 1,961 Tg (2001), an annual rate of −2.4%; and (4) in the subarea, while NLCD-based estimates suggested a 26% decrease in total AGB from 1992 to 2001, AVHRR/MODIS-based estimates indicated a 36% increase. The major source of uncertainty in change detection of total forest AGB over large areas was due to area differences from using land-cover maps produced by different sources. Scaling up 30-m land-cover map to 1-km resolution caused a mean difference of 8% (in absolute value) in forest area estimates at the county-level ranging from 0 to 17% within a 95% confidence interval. © Springer Science+Business Media B.V. 2007 |
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Abstract We used remote-sensing-driven models to detect land-cover change effects on forest aboveground biomass (AGB) density (Mg·$ ha^{−1} $, dry weight) and total AGB (Tg) in Minnesota, Wisconsin, and Michigan USA, between the years 1992–2001, and conducted an evaluation of the approach. Inputs included remotely-sensed 1992 reflectance data and land-cover map (University of Maryland) from Advanced Very High Resolution Radiometer (AVHRR) and 2001 products from Moderate Resolution Imaging Spectroradiometer (MODIS) at 1-km resolution for the region; and 30-m resolution land-cover maps from the National Land Cover Data (NLCD) for a subarea to conduct nine simulations to address our questions. Sensitivity analysis showed that (1) AVHRR data tended to underestimate AGB density by 11%, on average, compared to that estimated using MODIS data; (2) regional mean AGB density increased slightly from 124 (1992) to 126 Mg $ ha^{−1} $ (2001) by 1.6%; (3) a substantial decrease in total forest AGB across the region was detected, from 2,507 (1992) to 1,961 Tg (2001), an annual rate of −2.4%; and (4) in the subarea, while NLCD-based estimates suggested a 26% decrease in total AGB from 1992 to 2001, AVHRR/MODIS-based estimates indicated a 36% increase. The major source of uncertainty in change detection of total forest AGB over large areas was due to area differences from using land-cover maps produced by different sources. Scaling up 30-m land-cover map to 1-km resolution caused a mean difference of 8% (in absolute value) in forest area estimates at the county-level ranging from 0 to 17% within a 95% confidence interval. © Springer Science+Business Media B.V. 2007 |
| abstract_unstemmed |
Abstract We used remote-sensing-driven models to detect land-cover change effects on forest aboveground biomass (AGB) density (Mg·$ ha^{−1} $, dry weight) and total AGB (Tg) in Minnesota, Wisconsin, and Michigan USA, between the years 1992–2001, and conducted an evaluation of the approach. Inputs included remotely-sensed 1992 reflectance data and land-cover map (University of Maryland) from Advanced Very High Resolution Radiometer (AVHRR) and 2001 products from Moderate Resolution Imaging Spectroradiometer (MODIS) at 1-km resolution for the region; and 30-m resolution land-cover maps from the National Land Cover Data (NLCD) for a subarea to conduct nine simulations to address our questions. Sensitivity analysis showed that (1) AVHRR data tended to underestimate AGB density by 11%, on average, compared to that estimated using MODIS data; (2) regional mean AGB density increased slightly from 124 (1992) to 126 Mg $ ha^{−1} $ (2001) by 1.6%; (3) a substantial decrease in total forest AGB across the region was detected, from 2,507 (1992) to 1,961 Tg (2001), an annual rate of −2.4%; and (4) in the subarea, while NLCD-based estimates suggested a 26% decrease in total AGB from 1992 to 2001, AVHRR/MODIS-based estimates indicated a 36% increase. The major source of uncertainty in change detection of total forest AGB over large areas was due to area differences from using land-cover maps produced by different sources. Scaling up 30-m land-cover map to 1-km resolution caused a mean difference of 8% (in absolute value) in forest area estimates at the county-level ranging from 0 to 17% within a 95% confidence interval. © Springer Science+Business Media B.V. 2007 |
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Satellite detection of land-use change and effects on regional forest aboveground biomass estimates |
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