- Thapa, N., Narine, L.L., Fan, Z., Yang, S. and Tiwari, K. 2023. Detection of invasive plants using NAIP imagery and airborne LiDAR in coastal Alabama and Mississippi, USA. Annals of Forest Research, 66(1), https://doi.org/10.15287/afr.2023.2548
- Harder A.M., Sundaram M., Narine L., and Willoughby J.R. 2023. Remotely sensed environmental measurements detect decoupled processes driving population dynamics at contrasting scales. Ecology and Evolution, https://doi.org/10.1002/ece3.10358
- Rijal, A., Cristan, R., Gallagher, T., Narine, L.L., and Parajuli, M. 2023. Evaluating the feasibility and potential of unmanned aerial vehicles to monitor implementation of forestry best management practices in the coastal plain of the southeastern United States. Forest Ecology and Management, 545(1), https://doi.org/10.3390/rs15061548
- Narine, L.L., Popescu, S., Malambo, L. 2023. A Methodological Framework for Mapping Canopy Cover Using ICESat-2 in the Southern USA. Remote Sensing, 15(6), https://doi.org/10.3390/rs15061548
- Adjei, E., Li, W., Narine, L., and Zhang, Y. 2023. What Drives Land Use Change in the Southern U.S.? A Case Study of Alabama. Forests, 14(2), https://doi.org/10.3390/f14020171
- Tiwari, K., and Narine, L.L 2022. A Comparison of Machine Learning and Geostatistical Approaches for Mapping Forest Canopy Height over the Southeastern US Using ICESat-2. Remote Sensing, 14(22), https://doi.org/10.3390/rs14225651
- Fan, Z., Yang, S., Kush, J.M., and Narine, L. 2022. Natural Regeneration Dynamics of Longleaf Pine Under Frequent, Low-Intensity Prescribed Fires in Southern Alabama, USA. Forest Science, fxac032, https://doi.org/10.1093/forsci/fxac032
- Guerra-Hernández, J., Narine, L.L., Pascual, A., Gonzalez-Ferreiro, E., Botequim, B., Malambo, L., Neuenschwander, A., Popescu, S.C., and Godinho, S. 2022. Aboveground biomass mapping by integrating ICESat-2, SENTINEL-1, SENTINEL-2, ALOS2/PALSAR2, and topographic information in Mediterranean forests. GIScience & Remote Sensing, 59(1), 1509-1533, https://doi.org/10.1080/15481603.2022.2115599
- Shepard, N.T., Narine, L., Peng, Y., and Maggard, A. 2022. Climate Smart Forestry in the Southern United States. Forests, 13(9), https://doi.org/10.3390/f13091460
- Narine, L., Malambo, L., and Popescu, S. 2022. Characterizing canopy cover with ICESat-2: A case study of southern forests in Texas and Alabama, USA. Remote Sensing of Environment, 281, https://doi.org/10.1016/j.rse.2022.113242
- Brown, S., Narine, L.L., and Gilbert, J. 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 study in Southern Alabama. Remote Sensing, 14(11), https://doi.org/10.3390/rs14112708
- Stack, V. and Narine, L.L. 2022. Sustainability at Auburn University: Assessing Rooftop Solar Energy Potential for Electricity Generation with Remote Sensing and GIS in a Southern US Campus. Sustainability, 14(2), https://doi.org/10.3390/su14020626
- Narine, L.L., Popescu, S., and Malambo, L. 2020. Using ICESat-2 to estimate and map forest aboveground biomass: A first example. Remote Sensing, 12(11), https://doi.org/10.3390/rs12111824
- Narine, L.L., Popescu, S., and Malambo, L. 2019. Synergy of ICESat-2 and Landsat for mapping forest aboveground biomass with deep learning. Remote Sensing, 11, 1-19, https://doi.org/10.3390/rs11121503
- Narine, L.L., Popescu, S., Zhou, T., Srinivasan, S., and Harbeck, K. 2019. Mapping forest aboveground biomass with a simulated ICESat-2 vegetation canopy product and Landsat data. Annals of Forest Research, 62(1), 1-17, https://doi.org/10.15287/afr.2018.1163
- Narine, L.L., Popescu, S., Neuenschwander, A., Zhou, T., Srinivasan, S., and Harbeck, K. 2019. Estimating aboveground biomass and forest canopy cover with simulated ICESat-2 data. Remote Sensing of Environment, 224: 1-11, https://doi.org/10.1016/j.rse.2019.01.037
- Popescu, S.C., Zhou, T., Nelson, R, Neuenschwander, A., Sheridan, R., Narine, L., and Walsh, K.M. 2018. Photon counting LiDAR: an adaptive ground and canopy height retrieval algorithm for ICESat-2 data. Remote Sensing of Environment, 208: 154-170, https://doi.org/10.1016/j.rse.2018.02.019
- Cai, Z., Narine, L.L., D’Amato, A., and Aguilar, F.X. 2016. Attitudinal and revenue effects on non-industrial private forest owners’ willingness-to-harvest timber and woody biomass. Forest Policy and Economics, 63:52-61, https://doi.org/10.1016/j.forpol.2015.11.007
- Aguilar, F.X., Daniel, M., and Narine, L.L. 2013. Opportunities and challenges to the supply of woody biomass for energy from Missouri nonindustrial privately owned forests. Journal of Forestry, 111(4):249-260, https://doi.org/10.5849/jof.13-009