Exploring Uncertainty in Biomass Mapping: Case Study Insights
Delve into the complexities of uncertainty in biomass mapping with a focus on pixel-level uncertainties, comparing maps, aggregation techniques, and uncertainty propagation. Discover how a case study approach using synthetic populations and NFI data can aid in testing various ideas and solutions for addressing these challenges.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.
E N D
Presentation Transcript
Finalized and submitted our synthesis paper on uncertainty to the special issue of ERL
What We Talked About in the Uncertainty Working Group Breakout Concentrated on Biomass/Carbon maps Unsure how to use the pixel-level uncertainties How do we compare maps using uncertainties? uncertainty calculated differently project to project How do we aggregate uncertainties, e.g., small area estimation? How do we propagate uncertainties through subsequent analyses? What We Decided to do About It Develop a case study Uses synthetic populations and/or well establish NFI data Simulate the problems identified Test out different ideas that we all have
