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 from NEON field data is available. Stay tuned for a second tutorial on the 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.
Yang D, Fu C. Mapping Regional Forest Management Units: A Road-based Framework in Southeastern U.S. Coastal Plain and Piedmont. Forest Ecosystems. 2020, 8(1): 1-17. DOI: 10.1186/s40663-021-00289-w
Marsik M, Staub CG, Kleindl WJ, Hall J, Fu C, Yang D, Stevens FR, Binford MW. Regional-scale management maps for forested areas of the Southeastern United States and the US Pacific Northwest. Nature Scientific Data. 2018 Aug 28; 5:180165. DOI:10.1038/sdata.2018.1651
Yang D, Mitchell J, Rock R, Xu R, Tolbaske C, Hart M. Spatial Vegetation Diversity Patterns from Stands to Regional Scales Incorporating Airborne Observatory Platform (AOP) Datasets with Satellite Data in Northeastern U.S. 2020 AGU Annual Meeting, December 1st – 17th, 2020
Yang D, Mitchell J, Glenn N. Spatial Vegetation Diversity Patterns from Stands to Regional Scales Incorporating Airborne Observatory Platform (AOP) Datasets with Satellite Data in Northeastern U.S. 2019 AGU Annual Meeting, San Francisco, United States. December 9th – 13th, 2019 Poster here
Yang D, Fu C, Binford M. Linking Forest Management to Surrounding Lands: A Citizen-Based Approach Towards the Regional Understanding of Land-Use Change. 2018 AGU Annual Meeting, Washington D.C. United States. December 10th - 14th, 2018
Fu C, Yang D, Binford M. Characterizing Forest Disturbance Regimes: Impact Assessment of Management in US Forests. 2019 AAG Annual Meeting, Wethington D.C. United States. April 3rd -7th, 2019
Marsik M, Staub C, Kleindl W, Hall J, Fu CS, Yang D, Stevens F, Binford M. Regional-scale Management Maps for Forested Areas of the Southeastern United States and the U.S. Pacific Northwest. 2019 AAG Annual Meeting, Wethington D.C. United States. April 3rd -7th, 2019
Stoy P, Kleindl W, Binford M, Desai A, Dietze M, Duffy P, Fu C, Rollinson C, Schultz C, Starr G, Marsik M, Yang D, Staudhammer. Integrating Management into Models of Forest Function at Local to Continental Scales. 2019 12th North American Forest Ecology Workshop, Flagstaff, Arizona, United States, June 23rd -27th, 2019