My interests are to use satellite and aerial remotely sensed images to map tree properties and understand forest dynamics in temperate and tropical landscapes.
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IDTReeS Integrating Data science for Trees and Remote Sensing
I am part of a interdisciplinary collaborative research team to map individual trees in the continental US. My role is to lead a data science competition to evaluate methods for tree detection, delineation, and species classification. Species composition and biomass of tropical trees on farms: A landscape perspective enabled by novel hyperspectral and lidar aerial data
Graves, S.J., Caughlin, T.T., Asner, G.P. and Bohlman, S.A., 2018. A tree-based approach to biomass estimation from remote sensing data in a tropical agricultural landscape. Remote Sensing of Environment, 218, pp.32-43. Graves, S. J., Asner, G. P., Martin, R. E., Anderson, C. B., Colgan, M. S., Kalantari, L., & Bohlman, S. A. 2016. Tree Species Abundance Predictions in a Tropical Agricultural Landscape with a Supervised Classification Model and Imbalanced Data. Remote Sensing, 8(2), 161. Caughlin, T. T., Rifai, S. W., Graves, S. J., Asner, G. P., & Bohlman, S. A. 2016. Integrating LiDAR‐derived tree height and Landsat satellite reflectance to estimate forest regrowth in a tropical agricultural landscape. Remote Sensing in Ecology and Conservation, 2(4), 190-203. |
Tree growth detection from hyperspectral leaf reflectance and aerial imagery.
Data used include 1 meter hyperspectral and lidar imagery collected by the NEON-AOP system, in addition to ground-measured vegetation traits, spectral reflectance, and tree growth. Caughlin, T. T., Graves, S. J., Asner, G. P., Breugel, M., Hall, J. S., Martin, R. E., & Bohlman, S. A. 2016. A hyperspectral image can predict tropical tree growth rates in single‐species stands. Ecological Applications. 26 (8), 2367-2373 |
Impacts of Global Markets and National Policies on Forest Carbon Trajectories and Social Outcomes in the Guiana Shield Ecoregion
I am co-investigator on a NASA Early Career Land Cover Land Use Change project. The work is in collaboration with Conservation International. Our research goals are to:
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