Synergy of ICESat-2 and Landsat for Mapping Forest Aboveground Biomass with Deep Learning. - Lana L. Narine; Sorin C. Popescu; Lonesome Malambo (Remote. Sens., 2019)

Using ICESat-2 to Estimate and Map Forest Aboveground Biomass: A First Example. - Lana L. Narine; Sorin C. Popescu; Lonesome Malambo (Remote. Sens., 2020)

Using Airborne Lidar, Multispectral Imagery, and Field Inventory Data to Estimate Basal Area, Volume, and Aboveground Biomass in Heterogeneous Mixed Species Forests: A Case Study in Southern Alabama. - Schyler Brown; Lana L. Narine; John Gilbert (Remote. Sens., 2022)

A Comparison of Machine Learning and Geostatistical Approaches for Mapping Forest Canopy Height over the Southeastern US Using ICESat-2. - Kasip Tiwari; Lana L. Narine (Remote. Sens., 2022)

A Methodological Framework for Mapping Canopy Cover Using ICESat-2 in the Southern USA. - Lana L. Narine; Sorin C. Popescu; Lonesome Malambo (Remote. Sens., 2023)