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Integrating Vegetation 3D Structure and Ecological modeling for Continental Scale Assessments of Biodiversity, Biomass and Disturbance
Project Funding: 2008 - 2011
NRA: 2007 NASA: Terrestrial Ecology
Funded by NASA
Abstract:With the advent of new satellite remote sensing technology, particularly the Geoscience Laser Altimeter System (GLAS) on board ICESAT, and proposed future missions, such as DESDynI, there is new opportunity to derive information on the vertical structure of vegetation canopies of the utmost relevance to terrestrial ecology applications. The overall science goal of this proposal is to link lidar remote sensing of vegetation structure and ecosystem modeling to improve the characterization and predictability of terrestrial systems for both ecosystem dynamics and associated patterns of biodiversity. In addressing this science goal we will also answer questions of direct relevance to this NRA concerning the development of requirements for space missions focused on the observation of vertical vegetation structure and the ecosystems models that will use these observations. In particular we seek to answer the following three questions: 1) How can patterns of ecosystem structure be observed and modeled at region- to continental- scales using an approach that combines remotely-sensed observations of canopy structure with ecosystem modeling? (2) What are the satellite measurement requirements, derived from ecosystem model requirements, needed to accurately quantify patterns of ecosystem structure and improve model predictions of future dynamics for carbon and biodiversity studies? (3) What are the relationships between bird species richness, vegetation structure and ecosystem productivity at regional to continental-scales? The proposed research falls into five categories: (1) New LVIS flying along important ecosystem gradients, and analysis of existing LVIS data, to assess the relationship between structure and biodiversity at fine scales; (2) Production of North American forest height and 3D structure distributions from ICESAT at various model gird resolutions; (3) development of a continental-scale framework and subsequent modeling of carbon stocks, fluxes and productivity using and ecosystemd model (ED) initialized with ICESAT; (4) validation and sensitivity studies of ED model outputs of carbon stock, flux and productivity to variations in vertical canopy structure inputs at different spatial scales to determine measurement requirements for carbon and biodiversity studies; (5) application of the derived and modeled products along LVIS gradients, and continentally using ICESAT/ED in national scale assessments of structure, productivity and biodiversity.
Publications:
Goetz, S., Dubayah, R. 2014. Advances in remote sensing technology and implications for measuring and monitoring forest carbon stocks and change. Carbon Management. 2(3), 231-244. DOI: 10.4155/CMT.11.18
Tang, H., Brolly, M., Zhao, F., Strahler, A. H., Schaaf, C. L., Ganguly, S., Zhang, G., Dubayah, R. 2014. Deriving and validating Leaf Area Index (LAI) at multiple spatial scales through lidar remote sensing: A case study in Sierra National Forest, CA. Remote Sensing of Environment. 143, 131-141. DOI: 10.1016/j.rse.2013.12.007
Tang, H., Dubayah, R., Swatantran, A., Hofton, M., Sheldon, S., Clark, D. B., Blair, B. 2012. Retrieval of vertical LAI profiles over tropical rain forests using waveform lidar at La Selva, Costa Rica. Remote Sensing of Environment. 124, 242-250. DOI: 10.1016/j.rse.2012.05.005
Zolkos, S. G., Goetz, S. J., Dubayah, R. 2013. A meta-analysis of terrestrial aboveground biomass estimation using lidar remote sensing. Remote Sensing of Environment. 128, 289-298. DOI: 10.1016/j.rse.2012.10.017
2015 NASA Carbon Cycle & Ecosystems Joint Science Workshop Poster(s)
2011 NASA Carbon Cycle & Ecosystems Joint Science Workshop Poster(s)
2010 NASA Terrestrial Ecology Science Team Meeting Poster(s)
More details may be found in the following project profile(s):