scholarly journals Modeling Forest Aboveground Biomass and Volume Using Airborne LiDAR Metrics and Forest Inventory and Analysis Data in the Pacific Northwest

2014 ◽  
Vol 7 (1) ◽  
pp. 229-255 ◽  
Author(s):  
Ryan Sheridan ◽  
Sorin Popescu ◽  
Demetrios Gatziolis ◽  
Cristine Morgan ◽  
Nian-Wei Ku
Keyword(s):  
Pacific Northwest ◽  
Aboveground Biomass ◽  
Forest Inventory ◽  
Analysis Data ◽  
Airborne Lidar ◽  
Forest Inventory And Analysis ◽  
The Pacific ◽  
Forest Aboveground Biomass

scholarly journals High-resolution forest carbon flux mapping and monitoring in the Pacific Northwest with time since disturbance and disturbance legacies inferred from remote sensing and inventory data

2016 ◽  
Author(s):  
Huan Gu ◽  
Christopher A. Williams ◽  
Bardan Ghimire ◽  
Feng Zhao ◽  
Chengquan Huang
Keyword(s):  
Remote Sensing ◽  
Pacific Northwest ◽  
Forest Inventory ◽  
Stand Age ◽  
Net Ecosystem Productivity ◽  
Fine Scale ◽  
Ecosystem Productivity ◽  
Inventory Data ◽  
Forest Inventory Data ◽  
The Pacific

Abstract. Assessment of forest carbon storage and uptake is central to understanding the role forests play in the global carbon cycle and policy-making aimed at mitigating climate change. Current U.S. carbon stocks and fluxes are monitored and reported at fine-scale regionally, or coarse-scale nationally. We proposed a new methodology of quantifying carbon uptake and release across forested landscapes in the Pacific Northwest (PNW) at a fine scale (30 m) by combining remote-sensing based disturbance year, disturbance type, and aboveground biomass with forest inventory data in a carbon modelling framework. Time since disturbance is a key intermediate determinant that aided the assessment of disturbance-driven carbon emissions and removals legacies. When a recent disturbance was detected, time since disturbance can be directly determined by remote sensing-derived disturbance products; and if not, time since last stand-clearing was inferred from remote sensing-derived 30 m biomass map and field inventory-derived species-specific biomass regrowth curves. Net ecosystem productivity (NEP) was further mapped based on carbon stock and flux trajectories that described how NEP changes with time following harvest, fire, or bark beetle disturbances of varying severity. Uncertainties from biomass map and forest inventory data were propagated by probabilistic sampling to provide a probabilistic, statistical distribution of stand age and NEP for each forest pixel. We mapped mean, standard deviation and statistical distribution of stand age and NEP at 30 m in the PNW region. Our map indicated a net ecosystem productivity of 5.2 Tg C y−1 for forestlands circa 2010 in the study area, with net uptake in relatively mature (> 24 year old) forests (13.6 Tg C y−1) overwhelming net negative NEP from tracts that have seen recent harvest (−6.4 Tg C y−1), fires (−0.5 Tg C y−1), and bark beetle outbreaks (−1.4 Tg C y−1). The approach will be applied to forestlands in other regions of the conterminous U.S. to advance a more comprehensive monitoring, mapping and reporting the carbon consequences of forest change across the U.S.

Supporting National Forest System Planning with Forest Inventory and Analysis Data

2019 ◽  
Vol 118 (3) ◽  
pp. 289-306 ◽  
Author(s):  
Zachary Wurtzebach ◽  
R Justin DeRose ◽  
Renate R Bush ◽  
Sara A Goeking ◽  
Sean Healey ◽  
...  
Keyword(s):  
Forest Inventory ◽  
Ecological Integrity ◽  
Analysis Data ◽  
Forest Planning ◽  
National Forest ◽  
Forest Inventory And Analysis ◽  
Monitoring Strategies ◽  
Assessment And Monitoring ◽  
Using Data ◽  
Statistical Sample

Abstract In 2012, the US Forest Service promulgated new regulations for land-management planning that emphasize the importance of scientifically credible assessment and monitoring strategies for adaptive forest planning and the maintenance or restoration of ecological integrity. However, in an era of declining budgets, the implementation of robust assessment and monitoring strategies represents a significant challenge for fulfilling the intent of the new planning rule. In this article, we explore opportunities for using data and products produced by the USDA Forest Service’s Forest Inventory and Analysis (FIA) Program to support the implementation of the 2012 Planning Rule. FIA maintains a nationally consistent statistical sample of field plots that covers most national forests with hundreds of plots. We suggest that leveraging FIA data and products can generate efficiencies for assessment, planning, and monitoring requirements detailed in the 2012 Planning Rule, and help fulfill the adaptive intent of the new planning rule. However, strong national leadership and investment in regional-level analytical capacity, FIA liaisons, and decision-support tools are essential for systematically realizing the benefits of FIA data for forest planning across the National Forest System.

scholarly journals Integrating Airborne LiDAR and Optical Data to Estimate Forest Aboveground Biomass in Arid and Semi-Arid Regions of China

2018 ◽  
Vol 10 (4) ◽  
pp. 532 ◽  
Author(s):  
Luodan Cao ◽  
Jianjun Pan ◽  
Ruijuan Li ◽  
Jialin Li ◽  
Zhaofu Li
Keyword(s):  
Aboveground Biomass ◽  
Arid Regions ◽  
Airborne Lidar ◽  
Optical Data ◽  
Semi Arid ◽  
Forest Aboveground Biomass

scholarly journals Integrating forest inventory and analysis data into a LIDAR-based carbon monitoring system

2014 ◽  
Vol 9 (1) ◽  
Author(s):  
Kristofer D Johnson ◽  
Richard Birdsey ◽  
Andrew O Finley ◽  
Anu Swantaran ◽  
Ralph Dubayah ◽  
...  
Keyword(s):  
Monitoring System ◽  
Forest Inventory ◽  
Analysis Data ◽  
Forest Inventory And Analysis

scholarly journals Mapping Global Forest Aboveground Biomass with Spaceborne LiDAR, Optical Imagery, and Forest Inventory Data

2016 ◽  
Vol 8 (7) ◽  
pp. 565 ◽  
Author(s):  
Tianyu Hu ◽  
Yanjun Su ◽  
Baolin Xue ◽  
Jin Liu ◽  
Xiaoqian Zhao ◽  
...  
Keyword(s):  
Aboveground Biomass ◽  
Forest Inventory ◽  
Inventory Data ◽  
Forest Inventory Data ◽  
Optical Imagery ◽  
Forest Aboveground Biomass
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