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

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. - Brown, Schyler; Narine, Lana L.; Gilbert, John (Remote. Sens., 2022)

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

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

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