Greenberg, Jonathan: University of Nevada (Project Lead)
Ramirez Reyes, Carlos: USDA Forest Service (Stakeholder)
Slaton, Michele: USDA Forest Service (Stakeholder)
Project Funding:
2014 - 2018
NRA: 2014 NASA: Carbon Monitoring System
Funded by NASA
Abstract:
We propose to create a prototype Carbon Monitoring System (CMS) for the state of California, with the goal of estimating the mean tree-sequestered above-ground biomass AGB) using various remote sensing techniques for the period of 2005 to 2015 at 30m resolution, and determine the spatially explicit uncertainty in these estimates. One of the key characteristics of this CMS will be a detailed propagation of error analysis for both the field and remote sensing steps. We will investigate and compare state-of-the-art AGB estimation approaches applied to commercial LiDAR and Worldview-2, as well as dense time series of Landsat 4 8 imagery. The CMS will be developed with future-proofing in mind: new techniques, as they become available, will be easily integrated into the system and fused with previous techniques. All models and data products will be released under open content/open source licenses to maximize the utility of the research to the wider community.
Publications:
Xu, Q., Man, A., Fredrickson, M., Hou, Z., Pitkanen, J., Wing, B., Ramirez, C., Li, B., Greenberg, J. A. 2018. Quantification of uncertainty in aboveground biomass estimates derived from small-footprint airborne LiDAR. Remote Sensing of Environment. 216, 514-528. DOI: 10.1016/j.rse.2018.07.022
More details may be found in the following project profile(s):
