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Lana L. Narine

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2023
[j5]
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  - journals/remotesensing/NarinePM23
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  - https://dblp.org/rec/journals/remotesensing/NarinePM23
Lana L. Narine, Sorin C. Popescu, Lonesome Malambo:
A Methodological Framework for Mapping Canopy Cover Using ICESat-2 in the Southern USA. Remote. Sens. 15(6): 1548 (2023)
2022
[j4]
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  - journals/remotesensing/BrownNG22
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Schyler Brown, Lana L. Narine, John Gilbert:
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. Sens. 14(11): 2708 (2022)
[j3]
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  - journals/remotesensing/TiwariN22
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Kasip Tiwari, Lana L. Narine:
A Comparison of Machine Learning and Geostatistical Approaches for Mapping Forest Canopy Height over the Southeastern US Using ICESat-2. Remote. Sens. 14(22): 5651 (2022)
2020
[j2]
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  - journals/remotesensing/NarinePM20
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Lana L. Narine, Sorin C. Popescu, Lonesome Malambo:
Using ICESat-2 to Estimate and Map Forest Aboveground Biomass: A First Example. Remote. Sens. 12(11): 1824 (2020)
2019
[j1]
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Lana L. Narine, Sorin C. Popescu, Lonesome Malambo:
Synergy of ICESat-2 and Landsat for Mapping Forest Aboveground Biomass with Deep Learning. Remote. Sens. 11(12): 1503 (2019)

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