CCE banner
 
Funded Research

A Global Forest Biomass Inventory Based upon GLAS Lidar Data

Healey, Sean: USDA Forest Service (Project Lead)
Wilson, Sylvia: USGS / SilvaCarbon (Stakeholder)

Project Funding: 2012 - 2014

NRA: 2011 NASA: Carbon Monitoring System   

Funded by NASA

Abstract:
The United Nations Food and Agriculture Organization (FAO) compiles and monitors national-level biomass estimates across the world s forests through the Global Forest Resources Assessment (FRA). FRA reports represent the current state of knowledge regarding key forest parameters as expressed by national forest agencies and ministries worldwide. Data collected in the FRA is important to UN initiatives such as REDD (Reducing Emissions from Deforestation and Degradation), which depend upon accurate, precise, and consistent national-level reporting of forest carbon storage. The proposed work would establish a satellite-based NASA CMS global inventory of aboveground tree biomass (a primary component of overall biomass) as an official component of FAO s FRA 2015. Methods for this inventory were developed during the CMS pilot phase though a partnership between members of the CMS national biomass pilot team and representatives of the national forest inventory (FIA: US Forest Service s Forest Inventory and Analysis unit) on the CMS Science Definition Team. Discrete full waveform lidar footprints from the GLAS (Geoscience Laser Altimeter System aboard ICESat) are strongly correlated with aboveground tree biomass, and are here used in a survey/sample context as the basis for the CMS/FAO global biomass inventory. Based upon CMS pilot results, this approach is likely to provide an improvement in the precision of biomass estimates for countries without established national forest inventories, and its global consistency should enhance inter-comparability of biomass stocks across all nations. This inventory would be based upon model-based estimation, an approach which provides clear estimates of biomass and related uncertainty, accounting for both the variance of the sample and variance introduced by modeling biomass at each GLAS shot. FAO will coordinate global compilation of the ground data needed from national forestry agencies for calibration of models to be used in this inventory. A series of approximately 10 regional workshops will be held for national forest inventory representatives from around the world in 2013. At each workshop, time will be dedicated to engage participating countries in the needed data sharing. Almost all costs associated with this effort (including travel and lodging for many participants) will be borne by FAO. In addition to providing country- and global-level forest biomass estimates, this project will publish relationships between GLAS heights and field-measured biomass, which may be of use to other CMS efforts using GLAS data to calibrate wall-to-wall maps. Lastly, there is a forward-looking element which involves forecasting the precision of this inventory approach using lidar data from the ICESat-2 satellite (launch: 2016). Collection of ground data by this project will be coordinated with the ICESat-2 Science Team, which is programming overflights of GLAS shots by MABEL (an ICESat-2 simulation platform) and airborne lidar. Taken together, the components of the proposed project will: 1) develop a global CMS aboveground forest biomass product; 2) establish it as a critical monitoring asset within the FAO FRA monitoring process; and 3) assess its sustainability in view of upcoming NASA missions. The proposed work includes a good deal of in-kind salary contribution from the Forest Service, and there is a 55/45 balance of funding to non-federal/federal entities. Sean Healey, FIA s remote sensing representative to FAO and a member of the CMS Science Definition Team, is nominated for membership on the CMS Science Team.

Publications:

Birdsey, Richard A.; Dugan, Alexa J.; Healey, Sean P.; Dante-Wood, Karen; Zhang, Fangmin; Mo, Gang; Chen, Jing M.; Hernandez, Alexander J.; Raymond, Crystal L.; McCarter, James. 2019. Assessment of the influence of disturbance, management activities, and environmental factors on carbon stocks of U.S. national forests. Gen. Tech. Rep. RMRS-GTR-402. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 116 pages plus appendices.

Healey, S. P., Patterson, P. L., Saatchi, S., Lefsky, M. A., Lister, A. J., Freeman, E. A. 2012. A sample design for globally consistent biomass estimation using lidar data from the Geoscience Laser Altimeter System (GLAS). Carbon Balance and Management. 7(1). DOI: 10.1186/1750-0680-7-10


2015 NASA Carbon Cycle & Ecosystems Joint Science Workshop Poster(s)

  • The New Forest Carbon Accounting Framework of the US and NASA Carbon Cycle Science: Identifying Concomitant Knowledge Gaps and Research Opportunities   --   (Sean P Healey, Christopher W. Woodall, Grant M Domke, John Coulston, Brian F Walters, James A Smith, Andy Gray)   [abstract]

2013 NASA Terrestrial Ecology Science Team Meeting Poster(s)

  • The Global Forest Biomass Inventory   --   (Sean P Healey, Erik Lindquist, Paul Patterson, Sassan Saatchi, Michael Lefsky, Michael Hernandez, Alicia Peduzzi)   [abstract]

More details may be found in the following project profile(s):