Author(s): Serbin S; Meng R; Wu J; Ely K
Site ID: PR-CAM; PR-CAR; PR-FLM; PR-SB2; PR-UPR
Site Name: CAM2: Cambalache State Forest; CAR1: Carite State Forest; Fundacion Luis Munoz Marin (FLMM); SB2: Sabana 2; International Institute of Tropical Forestry
Variables: Leaf spectra
Date Range: March 3, 2017 - March 9, 2017
Description: Measurements of leaf full-spectrum (i.e. 350-2500 nm) reflectance and transmittance across 54 tropical tree species from five sites in Puerto Rico. Sites are located in the Cambalache State Forest, Carite State Forest, Sabana Field Station, Fundacion Luis Munoz Marin and at the International Institute of Tropical Forestry at the University of Puerto Rico. Data includes leaves collected from fully sunlit and shaded canopy strata as well as leaves for young, mature, old and senescent leaf ages. Data for each sample includes the relative age estimate, leaf canopy position, and sample number. This data was collected as part of the 2017 NGEE-Tropics / NASA G-LiHT airborne campaign. See related datasets for sample details including photographs, leaf traits including leaf mass per area (LMA), water content, and leaf carbon and nitrogen.
QA/QC: Full QA-QC
Methods Description: Reflectance spectra were measured on detached leaves from five sites in Puerto Rico. Leaf reflectance spectra were measured with a SVC HR-1024i Spectroradiometer, w/ SVC leaf clip attachment or Spectral Evolution PSRplus spectroreadiometer. Relative reflectance is reported, where the reflectance calculated as the ratio of the radiance or DN (digital number) of the target (i.e. leaf) divided by the radiance or DN of the Spectralon standard for each instrument channel.
Access Level: Public
Originating Institution(s): Brookhaven National Laboratory
Sponsor Organization(s): None
Contact: Serbin, Shawn - Brookhaven National Laboratory (sserbin@bnl.gov)
Version: 1.0
Dataset Citation: Serbin S; Meng R; Wu J; Ely K (2023): G-LiHT Campaign Leaf Spectral Reflectance and Transmittance, Mar2017: Puerto Rico. 1.0. NGEE Tropics Data Collection. (dataset). http://dx.doi.org/10.15486/ngt/1495204
Acknowledgement: This research was supported as part of NGEE-Tropics, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under contract no. DE-SC0012704
Data Link: Download Dataset
Serbin, S.P., Wu, J., Ely, K.S., Kruger, E.L., Townsend, P.A., Meng, R., Wolfe, Brett T., Chlus, A., Wand, Z., and A. Rogers (2019), From the Arctic to the tropics: multi‐biome prediction of leaf mass per area using leaf reflectance, New Phytologist. DOI:10.1111/nph.16123.
Related datasets: Shawn Serbin, Jin Wu, Ran Meng, Kim Ely(2021). G-LiHT Campaign Leaf Sample details & photos, March 2017: Puerto Rico. NGEE Tropics Data Collection. Accessed at http://dx.doi.org/10.15486/ngt/1781005.Shawn Serbin, Ran Meng, Jin Wu, Kim Ely(2021). G-LiHT Campaign Leaf Mass Area and Water Content, Mar2017: Puerto Rico. NGEE Tropics Data Collection. Accessed at http://dx.doi.org/10.15486/ngt/1495202.Shawn Serbin, Ran Meng, Jin Wu, Bailey Morrison, Kim Ely(2022). G-LiHT Campaign Leaf Carbon and Nitrogen Content, Mar2017: Puerto Rico. NGEE Tropics Data Collection. Accessed at https://doi.org/10.15486/ngt/1905770.
