Department of Geography, Environment, &, Spatial Sciences Michigan State University East Lansing Michigan USA, USDA Forest Service Geospatial Technology and Applications Center Salt Lake City Utah USA"/>
Department of Geography, Environment, &, Spatial Sciences Michigan State University East Lansing Michigan USA, Program in Ecology, Evolution, and Behavior Michigan State University East Lansing Michigan USA"/>
National Socio‐Environmental Synthesis Center Annapolis Maryland USA"/>
Department of Biology Bryn Mawr College Bryn Mawr Pennsylvania USA"/>
Department of Forestry Michigan State University East Lansing Michigan USA"/>
Environmental and Climate Sciences Department Upton Brookhaven National Laboratory New York New York USA"/>
Program in Ecology, Evolution, and Behavior Michigan State University East Lansing Michigan USA, Department of Integrative Biology Michigan State University East Lansing Michigan USA"/>
Published Article:
Towards mapping biodiversity from above: Can fusing lidar and hyperspectral remote sensing predict taxonomic, functional, and phylogenetic tree diversity in temperate forests?
Title: Towards mapping biodiversity from above: Can fusing lidar and hyperspectral remote sensing predict taxonomic, functional, and phylogenetic tree diversity in temperate forests?
Kamoske, Aaron G., Dahlin, Kyla M., Read, Quentin D., Record, Sydne, Stark, Scott C., Serbin, Shawn P., Zarnetske, Phoebe L., and Dornelas, Maria. Towards mapping biodiversity from above: Can fusing lidar and hyperspectral remote sensing predict taxonomic, functional, and phylogenetic tree diversity in temperate forests?. Global Ecology and Biogeography 31.7 Web. doi:10.1111/geb.13516.
Kamoske, Aaron G., Dahlin, Kyla M., Read, Quentin D., Record, Sydne, Stark, Scott C., Serbin, Shawn P., Zarnetske, Phoebe L., & Dornelas, Maria. Towards mapping biodiversity from above: Can fusing lidar and hyperspectral remote sensing predict taxonomic, functional, and phylogenetic tree diversity in temperate forests?. Global Ecology and Biogeography, 31 (7). https://doi.org/10.1111/geb.13516
Kamoske, Aaron G., Dahlin, Kyla M., Read, Quentin D., Record, Sydne, Stark, Scott C., Serbin, Shawn P., Zarnetske, Phoebe L., and Dornelas, Maria.
"Towards mapping biodiversity from above: Can fusing lidar and hyperspectral remote sensing predict taxonomic, functional, and phylogenetic tree diversity in temperate forests?". Global Ecology and Biogeography 31 (7). Country unknown/Code not available: Wiley-Blackwell. https://doi.org/10.1111/geb.13516.https://par.nsf.gov/biblio/10377175.
@article{osti_10377175,
place = {Country unknown/Code not available},
title = {Towards mapping biodiversity from above: Can fusing lidar and hyperspectral remote sensing predict taxonomic, functional, and phylogenetic tree diversity in temperate forests?},
url = {https://par.nsf.gov/biblio/10377175},
DOI = {10.1111/geb.13516},
abstractNote = {Not Available},
journal = {Global Ecology and Biogeography},
volume = {31},
number = {7},
publisher = {Wiley-Blackwell},
author = {Kamoske, Aaron G. and Dahlin, Kyla M. and Read, Quentin D. and Record, Sydne and Stark, Scott C. and Serbin, Shawn P. and Zarnetske, Phoebe L. and Dornelas, Maria},
}