Characterization of aboveground biomass in an unmanaged boreal forest using Landsat temporal segmentation metrics
Canada is dominated by forested ecosystems which are subject to various inventory and management practices, with more northern boreal forests subject to neither. Our objectives were to measure the capacity of temporal trajectory metrics for estimating selected forest attributes in a northern Canadia...
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| Published in | ISPRS journal of photogrammetry and remote sensing Vol. 92; pp. 137 - 146 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Amsterdam
Elsevier B.V
01.06.2014
Elsevier |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Canada is dominated by forested ecosystems which are subject to various inventory and management practices, with more northern boreal forests subject to neither. Our objectives were to measure the capacity of temporal trajectory metrics for estimating selected forest attributes in a northern Canadian boreal forest context using Landsat imagery and investigate the importance of different types of temporal trajectory metrics. Results indicated that Wetness was the best Tasseled Cap (TC) component for aboveground biomass estimation (R2=50%, RMSE%=56%), and the combination of simple and complex metrics from all TC components produced the highest R2 (62%) and lowest RMSE% (49%). Using a similar combination of variables, other forest attributes were estimated equally reliably with lower RMSE% values. The most important temporal trajectory metrics were simple and described TC component values at each point of change in the temporal trajectory, however the most important variables overall were environmental variables. |
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| AbstractList | Canada is dominated by forested ecosystems which are subject to various inventory and management practices, with more northern boreal forests subject to neither. Our objectives were to measure the capacity of temporal trajectory metrics for estimating selected forest attributes in a northern Canadian boreal forest context using Landsat imagery and investigate the importance of different types of temporal trajectory metrics. Results indicated that Wetness was the best Tasseled Cap (TC) component for aboveground biomass estimation (R super(2) = 50%, RMSE% = 56%), and the combination of simple and complex metrics from all TC components produced the highest R super(2) (62%) and lowest RMSE% (49%). Using a similar combination of variables, other forest attributes were estimated equally reliably with lower RMSE% values. The most important temporal trajectory metrics were simple and described TC component values at each point of change in the temporal trajectory, however the most important variables overall were environmental variables. Canada is dominated by forested ecosystems which are subject to various inventory and management practices, with more northern boreal forests subject to neither. Our objectives were to measure the capacity of temporal trajectory metrics for estimating selected forest attributes in a northern Canadian boreal forest context using Landsat imagery and investigate the importance of different types of temporal trajectory metrics. Results indicated that Wetness was the best Tasseled Cap (TC) component for aboveground biomass estimation (R²=50%, RMSE%=56%), and the combination of simple and complex metrics from all TC components produced the highest R² (62%) and lowest RMSE% (49%). Using a similar combination of variables, other forest attributes were estimated equally reliably with lower RMSE% values. The most important temporal trajectory metrics were simple and described TC component values at each point of change in the temporal trajectory, however the most important variables overall were environmental variables. Canada is dominated by forested ecosystems which are subject to various inventory and management practices, with more northern boreal forests subject to neither. Our objectives were to measure the capacity of temporal trajectory metrics for estimating selected forest attributes in a northern Canadian boreal forest context using Landsat imagery and investigate the importance of different types of temporal trajectory metrics. Results indicated that Wetness was the best Tasseled Cap (TC) component for aboveground biomass estimation (R2=50%, RMSE%=56%), and the combination of simple and complex metrics from all TC components produced the highest R2 (62%) and lowest RMSE% (49%). Using a similar combination of variables, other forest attributes were estimated equally reliably with lower RMSE% values. The most important temporal trajectory metrics were simple and described TC component values at each point of change in the temporal trajectory, however the most important variables overall were environmental variables. |
| Author | Frazier, Ryan J. Coops, Nicholas C. Wulder, Michael A. Kennedy, Robert |
| Author_xml | – sequence: 1 givenname: Ryan J. surname: Frazier fullname: Frazier, Ryan J. email: farawayhillsaregreener@gmail.com organization: Department of Forest Resource Management, University of British Columbia, 2424 Main Mall, Vancouver, British Columbia V6T 1Z4, Canada – sequence: 2 givenname: Nicholas C. surname: Coops fullname: Coops, Nicholas C. organization: Department of Forest Resource Management, University of British Columbia, 2424 Main Mall, Vancouver, British Columbia V6T 1Z4, Canada – sequence: 3 givenname: Michael A. surname: Wulder fullname: Wulder, Michael A. organization: Canadian Forest Service, Pacific Forestry Center, Natural Resources Canada, Victoria, British Columbia V8Z 1M5, Canada – sequence: 4 givenname: Robert surname: Kennedy fullname: Kennedy, Robert organization: Boston University, 685 Commonwealth Avenue, Boston, Massachusetts 02215, USA |
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| Keywords | Multitemporal Canada Landsat LiDAR Forest Boreal Random forests Boreal forest Forest zone Space remote sensing Environmental factor inventory North America trajectory management imagery Above ground plant part segmentation |
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| SubjectTerms | aboveground biomass Animal, plant and microbial ecology Applied geophysics Biological and medical sciences Biomass Boreal boreal forests Canada Earth sciences Earth, ocean, space ecosystems environmental factors Exact sciences and technology Forest Forest management Forests Fundamental and applied biological sciences. Psychology General aspects. Techniques Internal geophysics inventories Landsat LiDAR Multitemporal Random forests Segmentation Stockpiling Teledetection and vegetation maps Temporal logic Trajectories Wetness |
| Title | Characterization of aboveground biomass in an unmanaged boreal forest using Landsat temporal segmentation metrics |
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