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Sorin C. Popescu
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2020 – today
- 2024
- [j24]Pappu Kumar Yadav
, J. Alex Thomasson
AI-Driven Computer Vision Detection of Cotton in Corn Fields Using UAS Remote Sensing Data and Spot-Spray Application. Remote. Sens. 16(15): 2754 (2024) - 2023
- [j23]Pappu Kumar Yadav, J. Alex Thomasson, Robert G. Hardin
Detecting volunteer cotton plants in a corn field with deep learning on UAV remote-sensing imagery. Comput. Electron. Agric. 204: 107551 (2023) - [j22]Lonesome Malambo
Landsat-Scale Regional Forest Canopy Height Mapping Using ICESat-2 Along-Track Heights: Case Study of Eastern Texas. Remote. Sens. 15(1): 1 (2023) - [j21]Lana L. Narine
A Methodological Framework for Mapping Canopy Cover Using ICESat-2 in the Southern USA. Remote. Sens. 15(6): 1548 (2023) - [j20]Lonesome Malambo
Image to Image Deep Learning for Enhanced Vegetation Height Modeling in Texas. Remote. Sens. 15(22): 5391 (2023) - [j19]Emre Akturk
ICESat-2 for Canopy Cover Estimation at Large-Scale on a Cloud-Based Platform. Sensors 23(7): 3394 (2023) - 2022
- [j18]Horia G. Olariu
Woody Plant Encroachment: Evaluating Methodologies for Semiarid Woody Species Classification from Drone Images. Remote. Sens. 14(7): 1665 (2022) - [i4]Pappu Kumar Yadav, J. Alex Thomasson, Robert G. Hardin IV
Detecting Volunteer Cotton Plants in a Corn Field with Deep Learning on UAV Remote-Sensing Imagery. CoRR abs/2207.06673 (2022) - [i3]Pappu Kumar Yadav, J. Alex Thomasson, Stephen W. Searcy, Robert G. Hardin
Computer Vision for Volunteer Cotton Detection in a Corn Field with UAS Remote Sensing Imagery and Spot Spray Applications. CoRR abs/2207.07334 (2022) - [i2]Pappu Kumar Yadav, J. Alex Thomasson, Stephen W. Searcy, Robert G. Hardin
Assessing The Performance of YOLOv5 Algorithm for Detecting Volunteer Cotton Plants in Corn Fields at Three Different Growth Stages. CoRR abs/2208.00519 (2022) - [i1]Pappu Kumar Yadav, J. Alex Thomasson, Robert G. Hardin
Plastic Contaminant Detection in Aerial Imagery of Cotton Fields with Deep Learning. CoRR abs/2212.07527 (2022) - 2021
- [j17]Nian-Wei Ku
Regionalization of an Existing Global Forest Canopy Height Model for Forests of the Southern United States. Remote. Sens. 13(9): 1722 (2021) - 2020
- [j16]Meng Liu
Feasibility of Burned Area Mapping Based on ICESAT-2 Photon Counting Data. Remote. Sens. 12(1): 24 (2020) - [j15]Lana L. Narine
Using ICESat-2 to Estimate and Map Forest Aboveground Biomass: A First Example. Remote. Sens. 12(11): 1824 (2020) - [j14]Lonesome Malambo
PhotonLabeler: An Inter-Disciplinary Platform for Visual Interpretation and Labeling of ICESat-2 Geolocated Photon Data. Remote. Sens. 12(19): 3168 (2020)
2010 – 2019
- 2019
- [j13]Lana L. Narine
Synergy of ICESat-2 and Landsat for Mapping Forest Aboveground Biomass with Deep Learning. Remote. Sens. 11(12): 1503 (2019) - [j12]Tan Zhou
waveformlidar: An R Package for Waveform LiDAR Processing and Analysis. Remote. Sens. 11(21): 2552 (2019) - [j11]Lonesome Malambo
A Deep Learning Semantic Segmentation-Based Approach for Field-Level Sorghum Panicle Counting. Remote. Sens. 11(24): 2939 (2019) - 2018
- [j10]Lonesome Malambo
Multitemporal field-based plant height estimation using 3D point clouds generated from small unmanned aerial systems high-resolution imagery. Int. J. Appl. Earth Obs. Geoinformation 64: 31-42 (2018) - [j9]Tan Zhou
Bayesian and Classical Machine Learning Methods: A Comparison for Tree Species Classification with LiDAR Waveform Signatures. Remote. Sens. 10(1): 39 (2018) - [j8]Tan Zhou
From LiDAR Waveforms to Hyper Point Clouds: A Novel Data Product to Characterize Vegetation Structure. Remote. Sens. 10(12): 1949 (2018) - [j7]Xiongzhe Han, J. Alex Thomasson
Measurement and Calibration of Plant-Height from Fixed-Wing UAV Images. Sensors 18(12): 4092 (2018) - [j6]Eric B. Putman
Automated Estimation of Standing Dead Tree Volume Using Voxelized Terrestrial Lidar Data. IEEE Trans. Geosci. Remote. Sens. 56(11): 6484-6503 (2018) - 2016
- [j5]Chinsu Lin
An IPCC-Compliant Technique for Forest Carbon Stock Assessment Using Airborne LiDAR-Derived Tree Metrics and Competition Index. Remote. Sens. 8(6): 528 (2016) - 2015
- [j4]Ryan D. Sheridan, Sorin C. Popescu
Modeling Forest Aboveground Biomass and Volume Using Airborne LiDAR Metrics and Forest Inventory and Analysis Data in the Pacific Northwest. Remote. Sens. 7(1): 229-255 (2015) - [j3]Shruthi Srinivasan, Sorin C. Popescu
Terrestrial Laser Scanning as an Effective Tool to Retrieve Tree Level Height, Crown Width, and Stem Diameter. Remote. Sens. 7(2): 1877-1896 (2015) - 2013
- [j2]Lei Wang, Andrew G. Birt, Charles W. Lafon, David M. Cairns
Computer-based synthetic data to assess the tree delineation algorithm from airborne LiDAR survey. GeoInformatica 17(1): 35-61 (2013) - 2012
- [j1]Harri Kaartinen, Juha Hyyppä
An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning. Remote. Sens. 4(4): 950-974 (2012)
Coauthor Index
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