Biodiversity Mapping Using NEON Data

Investigating the Remote Sensing of Biodiversity

Project lead: Jessica Mitchell

We are developing new techniques to directly map environmentally diverse locations on the ground using laser scanning and image spectroscopy from airborne platforms (NSF 1703062). Specifically, we are developing methods for measuring biodiversity indicators using National Ecological Observatory Network (NEON) field and Airborne Observatory Platform datasets collected at seven sites along a latitudinal gradient in US temperate, broadleaf, and mixed forests. The mapping products will be integrated with broader scale environmental variables for predictive hotspot modeling and testing controls on macroscale patterns. See some preliminary findings in this poster presented by Di Yang at the 2019 AGU Fall Meeting.

A tutorial for calculating biodiversity metrics fro NEON field data is available. Stay tuned for a second tutorial on relating field and airborne biodiversity data.

Another aspect of this project is hosting two workshops in conjunction with EREN faculty. Participants in Workshop I have summarized their findings in a poster entitled Research Outreach: Leveraging NEON Data to Investigate Remote Sensing of Biodiversity Variables presented at the annual MSB PI meeting in Boulder, CO, May 2019.

Related Publications and Presentations