Frye, H. A., Euston-Brown, D., Kovach, K. R., Slingsby, J. A., Ye, Z., & Townsend, P. A. (2026). BioSCape: Foliar Trait Maps derived from AVIRIS-NG imagery (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/2521 Date Accessed: 2026-11-12

@article{Frye_Euston-Brown_Kovach_Slingsby_Ye_Townsend_2026, title={BioSCape: Foliar Trait Maps derived from AVIRIS-NG imagery}, url={https://www.earthdata.nasa.gov/data/catalog/ornl-cloud-bioscape-foliar-trait-maps-2521-1}, DOI={10.3334/ORNLDAAC/2521}, abstractNote={This dataset provides maps of 20 foliar functional traits and 11 trait-relevant spectral indices derived from AVIRIS-NG imagery that was acquired during the Biodiversity Survey of the Cape (BioSCape) project in October-November 2023. Foliar traits were predicted with permutational partial least squares regression (PLSR) models trained with vegetation samples collected concurrently with image acquisition. The estimated foliar traits include concentrations of aluminum, boron, calcium, carbon, cellulose, copper, hemicellulose, iron, lignin, magnesium, manganese, nitrogen, phosphorus, potassium, sodium, sulfur, and zinc along with leaf mass per area and d13C and d15N isotope ratios. Each of the 20 trait data sets has associated pixelwise uncertainty estimations, expressed in units of the trait. The trait-relevant spectral indices are related to traits not sampled during image acquisition, such as pigment concentrations. The data are provided in cloud-optimized GeoTIFF format.}, publisher={ORNL Distributed Active Archive Center}, author={Frye, H.A. and Euston-Brown, D. and Kovach, K.R. and Slingsby, J.A. and Ye, Z. and Townsend, P.A.}, year={2026}, language={en}, }

Frye, H.A., D. Euston-Brown, K.R. Kovach, J.A. Slingsby, Z. Ye, and P.A. Townsend. “BioSCape: Foliar Trait Maps Derived from AVIRIS-NG Imagery.” ORNL Distributed Active Archive Center, January 1, 2026. doi:10.3334/ORNLDAAC/2521. Date Accessed: 2026-11-12

Frye, H. A., et al. “BioSCape: Foliar Trait Maps Derived from AVIRIS-NG Imagery.” With ORNL DAAC, Version 1, ORNL Distributed Active Archive Center, 1 Jan. 2026, https://doi.org/10.3334/ORNLDAAC/2521. Date Accessed: 2026-11-12