Lana Narine
Lana Narine
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Cited by
Photon counting LiDAR: An adaptive ground and canopy height retrieval algorithm for ICESat-2 data
SC Popescu, T Zhou, R Nelson, A Neuenschwander, R Sheridan, ...
Remote Sensing of Environment 208, 154-170, 2018
Estimating aboveground biomass and forest canopy cover with simulated ICESat-2 data
LL Narine, S Popescu, A Neuenschwander, T Zhou, S Srinivasan, ...
Remote Sensing of Environment 224, 1-11, 2019
Using ICESat-2 to estimate and map forest aboveground biomass: A first example
LL Narine, SC Popescu, L Malambo
Remote Sensing 12 (11), 1824, 2020
Synergy of ICESat-2 and Landsat for mapping forest aboveground biomass with deep learning
LL Narine, SC Popescu, L Malambo
Remote Sensing 11 (12), 1503, 2019
Aboveground biomass mapping by integrating ICESat-2, SENTINEL-1, SENTINEL-2, ALOS2/PALSAR2, and topographic information in Mediterranean forests
J Guerra-Hernández, LL Narine, A Pascual, E Gonzalez-Ferreiro, ...
GIScience & Remote Sensing 59 (1), 1509-1533, 2022
Opportunities and challenges to the supply of woody biomass for energy from Missouri nonindustrial privately owned forestlands
FX Aguilar, MJ Daniel, LL Narine
Journal of Forestry 111 (4), 249-260, 2013
Attitudinal and revenue effects on non-industrial private forest owners' willingness-to-harvest timber and woody biomass
Z Cai, LL Narine, A D'Amato, FX Aguilar
Forest Policy and Economics 63, 52-61, 2016
Mapping forest aboveground biomass with a simulated ICESat-2 vegetation canopy product and Landsat data
LL Narine, S Popescu, T Zhou, S Srinivasan, K Harbeck
Annals of Forest Research 52, 69-86, 2009
Characterizing canopy cover with ICESat-2: A case study of southern forests in Texas and Alabama, USA
L Narine, L Malambo, S Popescu
Remote Sensing of Environment 281, 113242, 2022
Using airborne lidar, multispectral imagery, and field inventory data to estimate basal area, volume, and aboveground biomass in heterogeneous mixed species forests: A case …
S Brown, LL Narine, J Gilbert
Remote Sensing 14 (11), 2708, 2022
A comparison of machine learning and geostatistical approaches for mapping forest canopy height over the southeastern US using ICESat-2
K Tiwari, LL Narine
Remote Sensing 14 (22), 5651, 2022
Climate smart forestry in the Southern United States
NT Shephard, L Narine, Y Peng, A Maggard
Forests 13 (9), 1460, 2022
Sustainability at Auburn University: Assessing Rooftop Solar Energy Potential for Electricity Generation with Remote Sensing and GIS in a Southern US Campus
V Stack, LL Narine
Sustainability 14 (2), 626, 2022
A methodological framework for mapping canopy cover using ICESat-2 in the southern USA
LL Narine, SC Popescu, L Malambo
Remote Sensing 15 (6), 1548, 2023
What drives land use change in the southern us? a case study of alabama
E Adjei, W Li, L Narine, Y Zhang
Forests 14 (2), 171, 2023
Comparing the Borich model with the ranked discrepancy model for competency assessment: A novel approach. Advancements in Agricultural Development, 2 (3), 96-111
L Narine, A Harder
Evaluating the feasibility and potential of unmanned aerial vehicles to monitor implementation of forestry best management practices in the coastal plain of the southeastern …
A Rijal, R Cristan, T Gallagher, LL Narine, M Parajuli
Forest Ecology and Management 545, 121280, 2023
Woody biomass availability for energy: a perspective from non-industrial private forest landowners in the US Great Lakes states
LL Narine
University of Missouri--Columbia, 2013
Natural regeneration dynamics of longleaf pine under frequent, low-intensity prescribed fires in southern Alabama, USA
Z Fan, S Yang, JM Kush, L Narine
Forest Science 68 (5-6), 496-507, 2022
Estimating canopy cover from ICESat-2
L Narine, L Malambo, S Popescu
Proceedings of the SilviLaser Conference, 157-159, 2021
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