Celebrating progress, possibilities, and partnerships: Proceedings of the 2019 Forest Inventory and Analysis (FIA) Science Stakeholder Meeting.

  • Authors: Brandeis, Thomas J.
  • Publication Year: 2020
  • Publication Series: General Technical Report (GTR)
  • Source: e-Gen. Tech. Rep. SRS-256. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station.

Abstract

The Forest Service’s Forest Inventory and Analysis Program (FIA) is the primary source of information about our Nation’s forests’ status and trends. Built on a statistically robust sampling network of permanent forest inventory and monitoring plots, the program has created a framework upon which a diverse variety of scientific studies have been built. An FIA Science Stakeholder Meeting was held November 19-21st, 2019 in Knoxville, TN, to bring together FIA personnel, researchers from peer organizations, academia, policymakers, and members of the international scientific community under the theme "Celebrating progress, possibilities and partnerships". Presentations given at this meeting showed the evolution of FIA over time, innovative uses of the data collected by the program now, and looked to future applications in the fields of vegetation monitoring, land use and land cover change, and methods for delivering this information to stakeholders. These biennial meetings serve to maintain and expand the community of FIA data users by providing them with a forum in which to share and explore their ideas on how to make use of this ever growing body of data and information. This proceedings document includes abstracts of the presentation given and expanded details from selected papers presented at the meeting.

  • Citation: Brandeis, Thomas J., comp. 2020. Celebrating progress, possibilities, and partnerships: Proceedings of the 2019 Forest Inventory and Analysis (FIA) Science Stakeholder Meeting. November 19-21, 2019; Knoxville, TN. e-Gen. Tech. Rep. SRS-256. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station. 267 p.
  • Keywords: Cover estimation, data integrity, environmental monitoring, estimation, forest health, forest inventory, international forest monitoring, modeling, remote sensing, sampling
  • Posted Date: September 11, 2020
  • Modified Date: November 25, 2020
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