Predictions of Tropical Forest Biomass and Biomass Growth Based on Stand Height or Canopy Area Are Improved by Landsat-Scale Phenology across Puerto Rico and the U.S. Virgin Islands. - David Gwenzi; Eileen H. Helmer; Xiaolin Zhu 001; Michael A. Lefsky; Humfredo Marcano-Vega (Remote. Sens., 2017)

Spatial Modeling of Lidar-Derived Woody Biomass Estimates Collected Along Transects in a Heterogeneous Savanna Landscape. - David Gwenzi; Michael Andrew Lefsky (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Estimating Tree Crown Area and Aboveground Biomass in Miombo Woodlands From High-Resolution RGB-Only Imagery. - Herbet Tichaona Mareya; Paradzayi Tagwireyi; Henry Ndaimani; Tawanda W. Gara; David Gwenzi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Characterization of Dry-Season Phenology in Tropical Forests by Reconstructing Cloud-Free Landsat Time Series. - Xiaolin Zhu 001; Eileen H. Helmer; David Gwenzi; Melissa Collin; Sean Fleming; Jiaqi Tian; Humfredo Marcano-Vega; Elvia J. Meléndez-Ackerman; Jess K. Zimmerman (Remote. Sens., 2021)