Peer Reviewed Journal

  1. Atkins, J. W., Bhatt, P., Carrasco, L., Francis, E., Garabedian, J. E., Hakkenberg, C. R., Jung, J., ... & Krause, K. (2023). Integrating forest structural diversity measurement into ecological research. Ecosphere, 14(9), e4633.

  2. Jung, M., & Jung, J. (2023). A Scalable Method to Improve Large-Scale Lidar Topographic Differencing Results. Remote Sensing, 15(17), 4289.

  3. Song, H., & Jung, J. (2023). An Object-Based Ground Filtering of Airborne LiDAR Data for Large-Area DTM Generation. Remote Sensing, 15(16), 4105.

  4. Carpenter, J., Jung, J., & Lee, J. (2023). Photogrammetric 3D Scanning of Asphalt Cores for Automatic Layer Detection and Gradation Classification. KSCE Journal of Civil Engineering, 1-13.

  5. Carpenter, J., Rentauskas, D., Makkar, N., Jung, J., & Fei, S. (2023). Improving Deciduous Forest Inventory Plot Center Measurement Using Unoccupied Aerial Systems Imagery. Journal of Forestry, 121(3), 262-271.

  6. Roth, R. T., Chen, K., Scott, J. R., Jung, J., Yang, Y., Camberato, J. J., & Armstrong, S. D. (2023). Prediction of Cereal Rye Cover Crop Biomass and Nutrient Accumulation Using Multi-Temporal Unmanned Aerial Vehicle Based Visible-Spectrum Vegetation Indices. Remote Sensing, 15(3), 580.

  7. Lee, C., Seo, D., Jung, J. et al. Replacement Sensor Model Generation for a Long High-Resolution Satellite Image Strip. KSCE J Civ Eng 27, 1751–1759 (2023). https://doi.org/10.1007/s12205-023-1708-2

  8. Bhandari, M., Chang, A., Jung, J., Ibrahim, A. M., Rudd, J. C., Baker, S., ... & Landivar, J. (2023). Unmanned aerial system‐based high‐throughput phenotyping for plant breeding. The Plant Phenome Journal6(1), e20058.

  9. Zhang, C., Lane, B., Fernández-Campos, M., Cruz-Sancan, A., Lee, D. Y., Gongora-Canul, C., ... & Cruz, C. D. (2023). Monitoring tar spot disease in corn at different canopy and temporal levels using aerial multispectral imaging and machine learning. Frontiers in Plant Science13, 5549.

  10. Morshedi, M., Yoon, S., Bhattacharyya, A., Jung, J., & Hastak, M. (2023). Engaging Engineering Students with the Stakeholders for Infrastructure Planning. Buildings13(1), 39.

  11. Song, H., Yang, L., & Jung, J. (2022). Self-Filtered Learning for Semantic Segmentation of Buildings in Remote Sensing Imagery With Noisy Labels. 

    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

  12. Bawa, A., Samanta, S., Himanshu, S. K., Singh, J., Kim, J., Zhang, T., ... & Ale, S. (2022). A Support Vector Machine and Image Processing based Approach for Counting Open Cotton Bolls and Estimating Lint Yield from UAV Imagery. Smart Agricultural Technology, 100140.

  13. Kim, T., Park, J., Lee, C., Yun, Y., Jung, J., & Han, Y. (2022). Multi-temporal orthophoto and digital surface model registration produced from UAV imagery over an agricultural field. Geocarto International, 1-24.

  14. Carpenter, J.; Jung, J.; Oh, S.; Hardiman, B.; Fei, S. An Unsupervised Canopy-to-Root Pathing (UCRP) Tree Segmentation Algorithm for Automatic Forest Mapping. Remote Sens. 2022, 14, 4274. https://doi.org/10.3390/rs14174274 

  15. T. Wang, A. Chandra, J. Jung, A. Chang, "UAV remote sensing based estimation of green cover during turfgrass establishment," Computers and Electronics in Agriculture, 194, 106721, 2022, https://doi.org/10.1016/j.compag.2022.106721

  16. S. Oh, J. Jung, G. Shao, G. Shao, J. Gallion, S. Fei, "High-Resolution Canopy Height Model Generation and Validation Using USGS 3DEP LiDAR Data in Indiana, USA," Remote Sensing, 2022, 14 (4), 935;

    https://doi.org/10.3390/rs14040935

  17. W. Wu, S. Hague, J. Jung, A. Ashapure, M. Maeda, A. Maeda, A. Chang, D. Jones, J.A. Thomasson, J. Landivar, "Cotton row spacing and Unmanned Aerial Vehicle sensors," Agronomy Journal, https://doi.org/10.1002/agj2.20902, 2021.

  18. A. Chang, J. Jung, J. Landivar, J. Landivar, B. Barker, R. Ghosh, "Performance evaluation of parallel structure from motion (SfM) processing with public cloud computing and an on-premise cluster system for UAS images in agriculture," International Journal of Geo-Information, 10, 677, https://doi.org/10.3390/ijgi10100677, 2021. 

  19. S. Oh, D. Lee, C. Gongora, A. Ashapure, J. Carpenter, A. Cruz, M. Fernandez-Campos, B. Lane, D. Telenko, J. Jung, C. Cruz, "Tar Spot Disease Quantification Using Unmanned Aircraft Systems (UAS) Data," Remote Sensing, 13 (13), https://doi.org/10.3390/rs13132567, 2021. Article

  20. M. Bhandari, S. Baker, J. Rudd, A. Ibrahim, A. Chang, Q. Xue, J. Jung, J. Landivar, B. Auvermann, "Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned Aerial System (UAS)-Based Phenotyping," Remote Sensing, 13 (6), https://doi.org/10.3390/rs13061144, 2021. Article

  21. A. Chang, J. Jung, J. Yeom, M. Maeda, J. Landivar, J. Enciso, C. Avila, J. Anciso, "Unmanned Aircraft System based High Throughput Phenotyping for Tomato Yield Estimation," Journal of Sensors, vol. 2021, https://doi.org/10.1155/2021/8875606, 2021. Article

  22. A. Chang, J. Jung, J. Yeom, J. Landivar, "3D Characterization of Sorghum Panicles Using a 3D Point Cloud Derived from UAV Imagery", Remote Sensing, 13(2), 2021. Article

  23. J. Jung, M. Maeda, A. Chang, M. Bhandari, A. Ashapure, J. Landivar, "The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems", Current Opinion in Biotechnology, vol. 70, pp. 15-22, 2021. Article

  24. A. Chang, J. Yeom, J. Jung, J. Landivar, "Comparison of canopy shape and vegetation indices of citrus trees derived from UAV multispectral images for characterization of citrus greening disease", Remote Sensing, 12(24), 2020. Article

  25. A. Ashapure, J. Jung, A. Chang, S. Oh, J. Yeom, M. Maeda, A. Maeda, N. Dube, J. Landivar, S. Hague, W. Smith, "Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data", ISPRS Journal of Photogrammetry and Remote Sensing, vol. 169, pp. 180-194, 2020. Article

  26. S. Oh, A. Chang, A. Ashapure, J. Jung, N. Dube, M. Maeda, D. Gonzalez, J. Landivar, "Plant Counting of Cotton from UAS Imagery Using Deep Learning-Based Object Detection Framework", Remote Sensing, 12(18):2981, DOI: 10.3390/rs12182981, 2020. Article

  27. G. Galli, D. Horne, S. Collins, J. Jung, A. Chang, R. Fritsche-Neto, W. Rooney, "Optimization of UAS-based high-throughput phenotyping to estimate plant health and grain yield in sorghum", The Plant Phenome Journal, DOI: 10.1002/ppj2.20010, 2020. Article

  28. M. Bhandari, A. Ibrahim, Q. Xue, J. Jung, A. Chang, J. Rudd, M. Maeda, N. Rajan, H. Neely, J. Landivar, "Assessing winter wheat foliage disease severity using aerial imagery acquired from small Unmanned Aerial Vehicle (UAV)", Computers and Electronics in Agriculture, 176:105665, DOI: 10.1016/j.compag.2020.105665, 2020. Article

  29. S. Oh, A. Chang, J.E. Yang, H.S. Kim, K.J. Lim, J. Jung, "Recent advances in UAS based soil erosion mapping", Modern Concepts & Development in Agronomy, 7(2), pp. 712-714, 2020.

  30. A. Chang, J. Jung, M. Maeda, J. Landivar, H. Carvalho, J. Yeom, "Measurement of Cotton Canopy Temperature Using Radiometric Thermal Sensor Mounted on the Unmanned Aerial Vehicle (UAV)", Journal of Sensors, 2020:1-7, DOI: 10.1155/2020/8899325, 2020. Article

  31. S.L. Anderson, S.C. Murray, Y. Chen, L. Malambo, A. Chang, S. Popescu, D. Cope, J. Jung, “Unoccupied aerial system enabled functional modeling of maize height reveals dynamic expression of loci,” Plant Direct, 4, pp. 1-13, 2020. Article

  32. A. Ashapure, J. Jung, A. Chang, S. Oh, M. Maeda, J. Landivar, “A comparative study of RGB and multispectral sensor based cotton canopy cover modelling using multi-temporal UAS Data,” Remote Sensing, 11(23):2757, DOI: 10.3390/rs11232757, 2019. Article

  33. M. Ghadiri, A. Gasc, D. Francomnao, L. Villanueva-Rivera, J. Jung, M. Mossman, B. Pijanowski, “Effects of highways on bird distribution and soundscape diversity around Aldo Leopold’s shack in Baraboo, Wisconsin, USA,” Landscape and Urban Planning, 192: DOI: 10.1016/j.landurbplan.2019.103666, 2019. Article

  34. J. Yeom, J. Jung, A. Chang, A. Ashapure, M. Maeda, A. Maeda, J. Landivar, “Comparison of Vegetation Indices Derived from UAV Data for Tillage Treatment in Agriculture,” Remote Sensing, 11(13):1548, DOI: 10.3390/rs11131548, 2019. Article

  35. S.L. Anderson, S.C. Murray, L. Malambo, C. Ratcliff, S.C. Popescu, D. Cope, A. Chang, J. Jung, J.A. Thomasson, “Prediction of Maize Grain Yield Before Maturity Using Improved Temporal Height Estimates of Unmanned Aerial Systems,” The Plant Phenome, doi:10.2135/tppj2019.02.0004, 2019. Article

  36. H. Awika, R. Bedre, J. Yeom, T. Marconi, J. Enciso, K. Mandadi, J. Jung, Carlos Avila, “Developing Growth-Associated Molecular Markers Via High-Throughput Phenotyping in Spinach,” The Plant Genome, DOI: 10.3835/plantgenome2019.03.0027, 2019. Article

  37. A. Ashapure, J. Jung, J. Yeom, A. Chang, M. Maeda, A. Maeda, J. Landivar, “A novel framework to detect conventional tillage and No-tillage cropping system effect on cotton growth and development using multi-temporal UAS data,” ISPRS Journal of Photogrammetry and Remote Sensing, 152, pp. 49-64, 2019. Article

  38. Y. Han, J. Choi, J. Jung, A. Chang, S. Oh, J. Yeom, “Automated Co-registration of very-high-resolution multi-sensor orthophotos generated from UAV,” Journal of Sensors, vol. 2019, Article ID 2962734, 10 pages, 2019. https://doi.org/10.1155/2019/2962734 Article

  39. J. Enciso, C.A. Avila, J. Jung, S. Elsayed-Farag, A. Chang, J. Yeom, J. Landivar, M. Maeda, J.C. Chavez, “Validation of agronomic UAV and field measurements for tomato varieties,” Computers and Electronics in Agriculture, 158, pp. 278-283, 2019. Article

  40. A. Chang, J. Jung, D. Um, J. Yeom, F. Hanselmann, “Cost-effective framework for rapid underwater mapping with digital imagery and Structure from Motion,” KSCE Journal of Civil Engineering, 23(4), pp. 1776-1785, 2019. Article

  41. J. Yeom, J. Jung, A. Chang, M. Maeda, J. Landivar, “Automated Open Cotton Boll Detection for Yield Estimation Using Unmanned Aircraft Vehicle (UAV) Data,” Remote Sensing, doi:10.3390/rs10121895, 2018. Article

  42. X. Han, J.A. Thomasson, C. Bagnall, N.A. Pugh, D.W. Horne, W.L. Rooney, J. Jung, A. Chang, L. Malambo, S.C. Popescu, I.T. Gates, D.A. Cope, “Measurement and calibration of plant-height from fixed-wing UAV images,” Sensors, 18(12):4092, 2018. Article

  43. N.A. Pugh, X. Han, S.D. Collins, J.A. Thomasson, D. Cope, A. Chang, J. Jung, T.S. Isakeit, L.K. Prom, G. Carvalho, I.T. Gates, A. Vree, G.C. Bagnall, W. Rooney, “Estimation of plant health in a sorghum field infected with anthracnose using a fixed-wing unmanned aerial system,” Journal of Crop Improvement, DOI: 10.1080/15427528.2018.1535462, 2018. Article

  44. J. Jung, M. Maeda, A. Chang, J. Landivar, J. Yeom, J. McGinty, “Unmanned Aerial System assisted framework for the selection of high yielding cotton genotypes,” Computers and Electronics in Agriculture, 152, pp. 74-82, 2018. Article

  45. A. Gasc, B.L. Gottesman, D. Francomano, J. Jung, M. Durham, J. Mateljak, B.C. Pijanowki, “Soundscapes reveal disturbance impacts: biophonic response to wildfire in the Sonoran Desert Sky Islands,” Landscape Ecology, 33 (8), 2018. Article

  46. J. Enciso, J. Jung, A. Chang, J. Yeom, U. Cholua, G. Cavazos, “Assessing Land Levelling Needs and Performance with UAS,” Journal of Applied Remote Sensing, 12(1), pp. 1-8, 2018. Article

  47. N. Pugh, D. Horne, S. Murray, G. Carvalho, L. Malambo, J. Jung, A. Chang, M. Maeda, S. Popescu, G. Richardson, T. Chu, M. Starek, M. Brewer, W. Rooney, “Temporal estimates of crop growth in sorghum and maize breeding enabled by Unmanned Aerial Systems,” The Plant Phenome, 2017. Article

  48. J. Enciso, M. Maeda, J. Landivar, J. Jung, A. Chang, “A ground based platform for high throughput phenotyping”, Computers and Electronics in Agriculture, 141, pp. 286-291, 2017. Article

  49. A. Chang, J. Jung, M. Maeda, J. Landivar, “Crop height monitoring with digital imagery from Unmanned Aerial System (UAS),” Computers and Electronics in Agriculture, 141, pp. 232-237, 2017. Article

  50. A. David, J. Jung, B.C. Pijanowski, E.S. Minor, “Combined vegetation volume and greenness affect urban air temperature,” Applied Geography, 71, pp. 106-114, 2016. Article

  51. J. Goolsby, J. Jung, J. Landivar, W. McCutcheon, R. Lacewell, R. Duhaime, D. Baca, R. Puhger, H. Hasel, K. Varner, B. Miller, A. Schwartz, A. Perez de Leon, “Evaluation of Unmanned Aerial Vehicles (UAVs) for detection of cattle in the Cattle Fever Tick Permanent Quarantine Zone,” Subtropical Agriculture and Environments, 67, pp. 24-27, 2016. Article

  52. A. Chang, J. Choi, A. Song, J. Jung, “Vicarious radiometric calibration of RapidEye satellite image using CASI hyperspectral data,” Journal of the Korean Society for Geospatial Information Science, 23(3), pp.3-10, 2016. Article

  53. A. Chang, J. Jung, Y. Kim, “Estimation of forest stand diameter class using airborne LiDAR and field data,” Remote Sensing Letters, 6(6), pp.419-428, 2015. Article

  54. J. Jung, B. C. Pijanowski, “LiDARHub: A free and open source software platform for web-based management, visualization and analysis of LiDAR data,” Geosciences Journal, pp.1-9, DOI: 10.1007/s12303-015-0003-8, 2015. Article

  55. Y. Zhang, L. Yang, S. Prasad, E. Passoli, J. Jung, M. Crawford, J. Tilton, “Ensemble multiple kernel active learning for robust classification of multi-source remote sensing data,” IEEE Journal of Selected Topics in Applied Earth observations and Remote Sensing, 8(2), pp. 845-858, 2015. Article

  56. J. Jung, E. Pasolli, S. Prasad, J. Tilton, M. Crawford, “A framework for land cover classification using discrete return LiDAR data: Adopting pseudo-waveform and hierarchical segmentation,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(2), pp. 491-502, 2014. Article

  57. J. Jung, B. K. Pekin, B. C. Pijanowski, “Mapping gaps in an old-growth, secondary-growth, and selectively-logged tropical rainforest using discrete return LIDAR,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(6), pp. 2453-2461, 2013. Article

  58. J. Jung, B. C. Pijanowski, “Mapping vegetation volume in urban environments by fusing LiDAR and multispectral data,” Korean Journal of Remote Sensing, 28(6), pp. 661-670, 2012. Article

  59. B. K. Pekin, J. Jung, L. J. Villanueva-Rivera, B. C. Pijanowski, J. A. Ahumada, “Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical canopy structure in a neotropical rainforest,” Landscape Ecology, 27(10), pp. 1513-1522, 2012. Article

  60. J. Jung, M. Crawford, “Extraction of Features From LIDAR Waveform Data for Characterizing Forest Structure,” Geoscience and Remote Sensing Letters, 9(3), pp. 492-496, 2012. Article

  61. J. Jung, M. Crawford, S. Lee, “A Sequential LiDAR Waveform Decomposition Algorithm,” Korean Journal of Remote Sensing, 26(6), pp. 681-691, 2010. Article

  62. J. Jung, M. Crawford, S. Lee, “Complexity Estimation Based Work Load Balancing for a Parallel LIDAR Waveform Decomposition Algorithm,” Korean Journal of Remote Sensing, 25(6), pp. 547-557, 2009. Article

  63. J. Jung, H.D. Park, “Development of 3D Subsurface Characterization Interface for Groundwater Modeling System Using Borehole GIS Database,” Korean Journal of Geosystem Engineering, 42(5), pp. 465-475, 2005.

Presentations

  1. J. Jung, A. Ashapure, J. Landivar, "Satellite data based cotton yield estimation using deep learning approach," 2022 Beltwide Cotton Conference, San Antonio, TX, Jan 4 - 6, 2022.

  2. A. Bawa, S. Samanta, S. Himanshu, J. Kim, J. Singh, S. Ale, A. Chang, J. Jung, J. Bordovsky, E. Barnes, "An image processing and machine learning-based method for counting cotton bolls from UAV imagery," 2022 Beltwide Cotton Conference, San Antonio, TX, Jan 4 - 6, 2022.

  3. S. Oh, J. Jung, S. Fei, "Statewide canopy height model generation using USGS 3DEP LiDAR data in Indiana, USA," Big Ten Academic Alliance GIS Conference, West Lafayette, IN, Nov 12, 2021.

  4. J. Landivar, J. Jung, A. Ashapure, M. Bhandari, M. Maeda, J. Landivar, D. Gonzalez, "In-season management of cotton crops using digital twins models," 2021 ASA, CSSA, SSSA International Annual Meeting, Salt Lake City, UT, Nov 7 - 10, 2021.

  5. A. Chang, J. Jung, J. Landivar, J. Landivar, B. Barker, R. Ghosh, "Utilizing high performance computing clusters for large scale UAS data processing," 2021 ASA, CSSA, SSSA International Annual Meeting, Salt Lake City, UT, Nov 7 - 10, 2021.

  6. S. Oh, J. Jung, G. Shao, G. Shao, J. Galliond, S. Fei, "Indiana statewide canopy height model generation using USGS 3DEP LiDAR," 2021 HTIRC Annual Meeting, West Lafayette, IN, Oct 15, 2021.

  7. J. Jung, "Democratization of Geospatial Data," FOSS4G Korea 2021 Workshop, Virtual Conference, Oct 29, 2021.

  8. S. Samanta, S. Himanshu, A. Chang, T. Zhang, J. Singh, S. Ale, P. DeLaune, J. Jung, C. Morgan, E. Barnes, "Evaluation of the impacts of tillage and winter cover crops on soil water availability for and yield of cotton using UAV-acquired data," 2021 ASABE (American Society of Agricultural and Biological Engineers) Annual International Meeting, Virtual Conference, July 12 - 16, 2021.

  9. H. Song, J. Jung, "Validation of radiometric calibration using solar irradiance sensor for UAS multispectral image," 2021 International Symposium on Remote Sensing, Virtual Conference, May 26 - 28, 2021.

  10. H. Song, J. Jung, "Deep learning with Open Street Map and LiDAR for building footprint extraction," 2021 IGIC (Indiana Geographic Information Council) Conference, Virtual Conference, May 24 - 26, 2021.

  11. A. Ashapure, J. Jung, J. Landivar, A. Chang, M. Maeda, "In-season growth prediction of cotton phenotypic traits using a machine learning approach," 2021 NAPPN (North America Plant Phenotyping Network) Annual Conference, Virtual Conference, Feb 16 - 19, 2021. 

  12. J. Jung, A. Ashapure, J. Landivar, A. Chang, M. Maeda, "In-season cotton growth prediction using UAS data and machine learning," 2021 Southwest Cotton Physiology Meeting, Virtual Conference, Feb 2 - 3, 2021.

  13. J. Jung, A. Chang, J. Dever, J. Zwonitzer, A. Maeda, M. Maeda, "UAS-based plant stand monitoring for FOV4 resistance evaluation," 2021 Beltwide Cotton Conferences, Virtual Conference, January 5 - 7, 2021.

  14. J. Landivar, M. Maeda, A. Chang, J. Jung, J. McGinty, C. Bednarz, "Estimating the time and rate of harvest aid chemicals using an Unmanned Aircraft System," 2021 Beltwide Cotton Conferences, Online Conference, January 5 - 7, 2021.

  15. S. Oh, J. Jung, "Processing LiDAR data using Python," FOSS4G Korea 2020 Workshop, Virtual Conference, Nov 11 - 12, 2020.

  16. J. Jung, "Free and Open Source Software (FOSS) in my career," FOSS4G Korea 2020 Workshop, Virtual Conference, Nov 11 - 12, 2020.

  17. H. Song, J. Jung, "Evaluation of deep learning based building footprint extraction algorithm for remote sensing images regarding the training size and transferability," 2020 Korean Society of Remote Sensing Annual Conference, Virtual Conference, Nov 4 - 6, 2020.

  18. M. Maeda, J. Landivar, A. Chang, J. Jung, S. Oh, A. Ashapure, M. Bhandari, N. Dube, L. Shiratsuchi, " Cotton Variety Performance, How can we measure it?", 2020 ASA-CSSA-SSSA International Annual Meeting, Virtual Conference, Nov 9 - 13, 2020.

  19. S. Himanshu, S. Samanta, A. Chang, J. Kim, S. Ale, J. Bordovsky, J. Jung, E. Barnes, "A comparison of UAV-derived and manually-measured cotton phenological dataset under different irrigation strategies," 2020 ASA-CSSA-SSSA International Annual Meeting, Virtual Conference, Nov 9 - 13, 2020.

  20. J. Landivar, A. Chang, M. Maeda, C. Bednadz, J. Jung, "Estimating cotton genotype maturity using UAS-based remote sensing," 2020 ASA-CSSA-SSSA International Annual Meeting, Virtual Conference, Nov 9 - 13, 2020.

  21. S. Oh, D. Lee, A. Ashapure, C. Gongora-Canul, A. Cruz-Sancan, M. Fernandez, J. Jung, D. Telenko, C. Cruz, "Optimal design of spatial grid structure for UAS-based disease severity estimation of tar spot of corn," 2020 ASA-CSSA-SSSA International Annual Meeting, Virtual Conference, Nov 9 - 13, 2020.

  22. J. Carpenter, J. Jung, J. Landivar, "High throughput phenotyping using spaceborne LiDAR systems," 2020 ASA-CSSA-SSSA International Annual Meeting, Virtual Conference, Nov 9 - 13, 2020.

  23. J. Jung, A. Chang, M. Maeda, J. Landivar, A. Miller, G. Gabriel, S. Kulasekran, "UASHub: Build a modern cloud-based data portal for the management of big UAS data," 2020 ASA-CSSA-SSSA International Annual Meeting, Virtual Conference, Nov 9 - 13, 2020.

  24. C. Morse, J. Jung, D. Nail, J. Keene, "Indiana 3DEP LiDAR data products, accuracy, and access," 2020 IGIC Virtual Conference, Sep 29 - Oct 1, 2020.

  25. A. Ashapure, J. Jung, S. Oh, A. Chang, N. Dube, J. Landivar, "Combining UAS and Sentinel-2 data to estimate canopy parameters of a cotton crop using machine learning," 2020 IEEE International Geoscience and Remote Sensing Symposium, Virtual Conference, Sep 26 - Oct 2, 2020.

  26. S. Oh, D. Lee, C. Gongora-Canul, A. Cruz-Sancan, A. Ashapure, M. Fernandez, D. Telenko, J. Jung, C. Cruz, "Estimation of visual rating of tar spot disease of corn using UAS data and machine learning techniques," 2020 IEEE International Geoscience and Remote Sensing Symposium, Virtual Conference, Sep 26 - Oct 2, 2020.

  27. J. Carpenter, J. Jung, J. Landivar, "High throughput phenotyping using spaceborne LiDAR systems," 2020 ISS R&D Conference, Virtual Conference, Aug 2 - 5, 2020.

  28. J. Jung, J. Landivar, "AI in agricultural drone research for precision agriculture", Online Workshop: Artificial Intelligence Applications to Agriculture, Texas A&M Institute of Data Science, Jul 17, 2020. Web Site

  29. S. Kumar, S. Samanta, A. Chang, J. Kim, S. Ale, J. Bordovsky, J. Jung, E. Barnes, "Comparative Validation of UAV-collected Cotton Phenological Dataset with Manual Measurements under different Irrigation Treatments", 2020 ASABE Annual International Meeting, Virtual Event, Jul 13 - 15, 2020. 

  30. J. Carpenter, J. Jung, J. Lee, "Photogrammetry based 3D Scanning of Asphalt Pavement Samples", JTRP Poster Session, Indianapolis, IN, Feb 27, 2020.

  31. J. Jung, M. Hastak, S. Yoon, S. Oh, "Automated Traffic Sign Detection Tool from Video Recordings", JTRP Poster Session, Indianapolis, IN, Feb 27, 2020.

  32. S. Oh, D. Lee, C. Congora, A. Cruz, A. Ashapure, M. Fernandez, J. Jung, C. Cruz, "Estimation of Visual Severity of Tar Spot Disease in Corn using UAS Data and Machine Learning Techniques", Purdue Sigma Xi Conference, West Lafayette, IN, Feb 2, 2020. 

  33. J. Jung, M. Tuinstra, Y. Yang, "Development of Online Collaboration HUB for Controlled Environment Phenotyping Facility", Ag-Eng Day 2.0, West Lafayette, IN, Jan 9, 2020.

  34. J. Jung, “Adapting Big Data Analytics and Machine Learning into Agriculture: Unmanned Aircraft System based High Throughput Phenotyping System,” Keynote speaker in EcoSSSoil International Symposium, Seoul, Korea. December 4-5, 2019.

  35. J. Jung, J. Landivar, A. Chang, M. Maeda, S. Oh, J. Yeom, A. Ashapure, N. Dube, A. Maeda, “Unmanned Aircraft System Based High Throughput Phenotyping at Texas A&M: Adopting Big Data Analytics and Machine Learning into Agriculture,” 2019 ASA-CSSA-SSSA International Annual Meeting, San Antonio, TX. November 13, 2019.

  36. J. Landivar, J. Jung, M. Maeda, N. Dube, J. McGinty, A. Chang, A. Ashapure, S. Oh, “Genotype Response to Irrigation Using an Unmanned Aircraft System Based High Throughput Phenotyping System,” 2019 ASA-CSSA-SSSA International Annual Meeting, San Antonio, TX. November 12, 2019.

  37. A. Ashapure, J. Jung, S. Oh, J. Yeom, A. Chang, M. Maeda, A. Maeda, N. Dube, J. Landivar, T. Gerik, J. Jeong, “Combining UAS and Sentinel-2 Data to Estimate Canopy Parameters and Yield of a Rice Crop Using Machine Learning,” 2019 ASA-CSSA-SSSA International Annual Meeting, San Antonio, TX. November 12, 2019.

  38. M. Bhandari, A. Ibrahim, S. Baker, A. Chang, J. Rudd, Q. Xue, H. Neely, N. Rajan, J. Jung, J. Landivar, M. Maeda, “Yield Prediction of Winter Wheat Genotypes Based on Unmanned Aerial Vehicle (UAV) Aerial Imagery,” 2019 ASA-CSSA-SSSA International Annual Meeting, San Antonio, TX. November 12, 2019.

  39. S. Baker, J. Rudd, J. Jung, A. Chang, A. Ibrahim, B. Auvermann, J. Landivar, “Integrating UAS-Based High Throughput Phenotyping System into a Winter Wheat Breeding Program,” 2019 ASA-CSSA-SSSA International Annual Meeting, San Antonio, TX. November 12, 2019.

  40. M. Maeda, J. Landivar, J. Jung, A. Chang, S. Oh, “Unmanned Aerial Systems (UAS) As a Tool to Evaluate Variety Performance,” 2019 ASA-CSSA-SSSA International Annual Meeting, San Antonio, TX. November 12, 2019.

  41. S. Oh, N. Dube, A. Ashapure, A. Chang, J. Jung, M. Maeda, A. Maeda, J. Landivar, “Cotton Stand Counting Via UAS Photogrammetry and Deep Learning,” 2019 ASA-CSSA-SSSA International Annual Meeting, San Antonio, TX. November 12, 2019.

  42. N. Dube, J. Landivar, A. Ashapure, J. Jung, A. Chang, S. Oh, M. Maeda, A. Maeda, “Using UAS Acquired Data to Explore within and between Plot Variability for a till and No till Cropping System for Cotton,” 2019 ASA-CSSA-SSSA International Annual Meeting, San Antonio, TX. November 12, 2019.

  43. J. Landivar, J. Jung, A. Ashapure, N. Dube, A. Chang, M. Maeda, J. McGinty, T. Gerik, S. Oh, “Uses of Digital Twins for in-Season Management of Inputs for Cotton Crops,” 2019 ASA-CSSA-SSSA International Annual Meeting, San Antonio, TX. November 12, 2019.

  44. A. Chang, N. Dube, S. Oh, A. Ashapure, J. Jung, J. Landivar, M. Maeda, A. Maeda, “Single Plant High Throughput Phenotyping (HTP) for Cotton Using Unmanned Aerial System (UAS) Data,” 2019 ASA-CSSA-SSSA International Annual Meeting, San Antonio, TX. November 10, 2019.

  45. H. Song, J. Jung, A. Chang, J. Yeom, Y. Kim, "Domain Adaptation for 2D/3D Change Detection in VHR Imagery via the Calibration of Convolutional Neural Network under Prior Probability Shift", 40th Asian Conference on Remote Sensing (ACRS 2019), Daejeon, South Korea, Oct 14 - 18, 2019.

  46. A. Chang, J. Jung, J. Landivar, "Single Crop Phenotyping using Unmanned Aircraft System (UAS) Data", 40th Asian Conference on Remote Sensing (ACRS 2019), Daejeon, South Korea, Oct 14 - 18, 2019.

  47. J. Jung, “Marriage between Geomatics and Big Data: UAV based Remote Sensing System for Agriculture Applications,” DJI Airworks 2019, Los Angeles, CA. September 25, 2019.

  48. S. Oh, A. Ashapure, T. Marconi, J. Jung, J. Landivar, “UAS based tomato yellow leaf curl virus (TYLCV) disease detection system,” Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV, Baltimore, MD. April 16, 2019.

  49. A. Ashapure, S. Oh, T. Marconi, A. Chang, J. Jung, J. Landivar, J. Enciso, “Unmanned Aerial System based Tomato Yield Estimation using Machine Learning,” Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV, Baltimore, MD. April 16, 2019.

  50. T. Marconi, S. Oh, A. Ashapure, A. Chang, J. Jung, J. Landivar, J. Enciso, “Application of Unmanned Aerial System for Management of Tomato Cropping System,” Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IV, Baltimore, MD. April 16, 2019.

  51. J. Landivar, J. Jung, A. Ashapure, A. Chang, S. Oh, M. Maeda, J. Osorio, T. Gerik, " Potential Uses of Digital Twins for Cotton Research and Management," 2019 Beltwide Cotton Conferences, New Orleans, LA. January 9, 2019.

  52. S. Oh, A. Chang, A. Ashapure, J. Jung, M. Maeda, J. Landivar, W. Smith, S. Hague, "Investigating Relation between Open Boll Count and Cotton Seedlings Emergence Using Unmanned Aerial System Images and Yolo, a Deep Learning Framework," 2019 Beltwide Cotton Conferences, New Orleans, LA. January 9, 2019.

  53. J. Jung, A. Ashapure, A. Chang, S. Oh, M. Maeda, J. Landivar, S. Hague, W. Smith, "Artificial Neural Network Based Cotton Yield Estimation Using Unmanned Aerial System Data," 2019 Beltwide Cotton Conferences, New Orleans, LA. January 9, 2019.

  54. A. Chang, J. Jung, S. Oh, A. Ashapure, M. Maeda, J. Landivar, W. Smith, S. Hague, "High Throughput Phenotyping (HTP) for Single Plant Using Unmanned Aerial System (UAS) Data in Cotton," 2019 Beltwide Cotton Conferences, New Orleans, LA. January 9, 2019.

  55. A. Ashapure, J. Jung, M. Maeda, A. Chang, S. Oh, J. Landivar, S. Hague, W. Smith, "A Comparative Study of RGB and Multispectral Sensor Based Cotton Canopy Cover Modelling Using Multi-Temporal UAS Data," 2019 Beltwide Cotton Conferences, New Orleans, LA. January 9, 2019.

  56. J. Jung, "Unmanned Aerial System based High Throughput Phenotyping System Development in Texas A&M AgriLife Research," The 5th International GEAR-UP Forum, Taichung, Taiwan, Nov 12 – 13, 2018.

  57. J. Landivar, J. Jung, M. Maeda, A. Chang, S. Oh, J. Yeom, “Remote Sensing Platform for Research and Precision Management,” UN World Data Forum 2018, Dubai, United Arab Emirates, October 22 – 24, 2018.

  58. N. Pugh, X. Han, S.D. Collins, J.A. Thomasson, D. Cope, A. Chang, J. Jung, T. Isakeit, L.K. Prom, G. Carvalho, I. Gates, A. Vree, G.C. Bagnall, W. Rooney, "Estimation of Anthracnose Disease Incidence and Severity in Sorghum Using a Fixed-Wing Unmanned Aerial System," 2018 ASA and CSSA Meeting, Baltimore, MD, Nov 4 – 7, 2018.

  59. J. Landivar, M. Maeda, J. Jung, A. Chang, A. Ashapure, "Plant Population Effects on Genotype Yield Under Irrigated and Dryland Conditions in South Texas Using UAS-Collected Data," 2018 ASA and CSSA Meeting, Baltimore, MD, Nov 4 – 7, 2018.

  60. A. Maeda, M. Maeda, J.L. Foster, A. Ashapure, J. Yeom, A. Chang, J. Jung, "Evaluation and Quantification of Environmental Sustainability of Different Tillage Treatments in South Texas," 2018 ASA and CSSA Meeting, Baltimore, MD, Nov 4 – 7, 2018.

  61. M. Maeda, J. Jung, J. Landivar, J. Yeom, S. Oh, A. Maeda, A. Chang, T. Gerik, J. Jeong, K.P. Price, D. Cummins, "Comparison of Crop Data Obtained from Manned and Unmanned Aircraft Systems," 2018 ASA and CSSA Meeting, Baltimore, MD, Nov 4 – 7, 2018.

  62. M. Bhandari, A. Ibrahim, Q. Xue, H. Neely, N. Rajan, J. Jung, M. Maeda, J. Landivar, G. Opena, J.C. Rudd, S. Baker, A. Adhikari, "High-Throughput Field Phenotyping in Wheat to Assess Yield and Foliage Disease Severity," 2018 ASA and CSSA Meeting, Baltimore, MD, Nov 4 – 7, 2018.

  63. Han, X., A. Thomasson, C. Bagnall, W. Rooney, N. Pugh, D. Horne, L. Malambo, J. Jung, A. Chang, D. Cope, "Calibrated plant height estimates with structure from motion from fixed-wing UAV images," Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, Orlando, FL, April 15 – 19, 2018.

  64. Chang, A., J. Jung, J. Yeom, M. Maeda, J. Landivar, "Phenotyping of sorghum panicles using Unmanned Aeiral System data," Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, Orlando, FL, April 15 – 19, 2018.

  65. Jung, J., A. Ashapure, M. Maeda, J. Landivar, A. Chang, J. Yeom, S. Hague, W. Smith, "Unmanned Aerial System based cotton genotype selection using machine learning," Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, Orlando, FL, April 15 – 19, 2018.

  66. Jung, J., Chang, A., Yeom, J., Maeda, M., Landivar, J., "Feed the World: New Revolution in Agriculture using Drone Technologies," Drone Show Korea 2018, Pusan, Korea. January 26, 2018.

  67. Jung, J., Yeom, J., Chang, A., Maeda, M., Landivar, J., Hague, S., Smith, W., "3D Open Cotton Boll Detection Using Unmanned Aerial System (UAS) Data," 2018 Beltwide Cotton Conferences,San Antonio, TX. January 4, 2018.

  68. Landivar, J., Jung, J., Maeda, M., Chang, A., Yeom, J., "Analysis of Plant Growth and Yield Using an UAS (Unmanned Aircraft System)-Based Remote Sensing Platform," 2018 Beltwide Cotton Conferences,San Antonio, San Antonio, TX. January 4, 2018.

  69. Ashapure, A., Jung, J., Yeom, J., Chang, A., Maeda, M., Maeda, A., Landivar, J., "Comparison of Conventional Tillage and No-Tillage Cotton Crop Treatments Using Multi-Temporal UAS Data," 2018 Beltwide Cotton Conferences,San Antonio, San Antonio, TX. January 4, 2018.

  70. Yeom, J., Jung, J., Chang, A., Maeda, M., Ashapure, A., Maeda, A., Landivar, J., "Evaluation of Tillage Practices in Cotton Using Multi-Temporal UAS Vegetation Index Data," 2018 Beltwide Cotton Conferences,San Antonio, San Antonio, TX. January 4, 2018.

  71. Chang, A., Jung, J., Yeom, J., Ashapure, A., Maeda, M., Landivar, J., Hague, S., "Traits Estimation of the Endophyte Treatment for Cotton Using Unmanned Aerial System (UAS) Data," 2018 Beltwide Cotton Conferences,San Antonio, San Antonio, TX. January 4, 2018.

  72. Maeda, M., Jung, J., Yeom, J., Chang, A., Maeda, A., Landivar, J., Hague, S., Smith, W., McGinty, J., Enciso, J., "Validation of Unmanned Aerial System (UAS) Data for Cotton Research," 2018 Beltwide Cotton Conferences,San Antonio, San Antonio, TX. January 4, 2018.

  73. Landivar, J., Jung, J., Maeda, M., "Advanced Remote Sensing Platform for Cotton Research and High-throughput Phenotyping," Texas Plant Protection Conference, College Station, TX. December 6, 2017.

  74. Jung, J., Landivar, J., Maeda, M., Chang, A., Yeom, J., Ashapure, A., "Sensors and Drone Applications in Agriculture," Texas Plant Protection Conference, College Station, TX. December 6, 2017.

  75. Rooney, W., Pugh, N., Horne, D., Maeda, M., Jung, J., Malambo, L., Thomasson, A., Popescu, S., "Estimating Height and Yield in Grain Sorghum using UAV systems and their Applications in Breeding," American Society of Agronomy, Tampa, FL. October 25, 2017.

  76. Cruzato, N., Murray, S., Cope, D., Chang, A., Jung, J., Anderson, S., Ratcliff, C., "Spectral and three-dimensional high-throughput phenotypes as indicators of plant variability in a maize breeding program," American Society of Agronomy, Tampa, FL. October 25, 2017.

  77. Landivar, J., Jung, J., Maeda, M., Chang, A., Yeom, J., "Analysis of plant growth and yield using UAS based remote sensing platform," American Society of Agronomy, Tampa, FL. October 23, 2017.

  78. Maeda, M., Jung, J., Landivar, J., Chang, A., Yeom, J., Rooney, W., Pugh, N., Horne, D., Carvalho, G., "UAS based panicle size extraction for grain sorghum yield estimates," American Society of Agronomy, Tampa, FL. October 23, 2017.

  79. Jung, J., Chang, A., Yeom, J., Maeda, M., Landivar, J., "UASHub: Online Research Collaboration Portal for UAS Data," American Society of Agronomy, Tampa, FL. October 23, 2017.

  80. Jung, J., Maeda, M., Landivar, J., "Agricultural Drones: Principles and Applications," American Society of Agronomy, Tampa, FL. October 22, 2017.

  81. Ibrahim, A., Rudd, J., Liu, S., Xue, Q., Hays, D., Jung, J., Maeda, M., Landivar, J., Neely, C., Dong, X., Johnson, C., Thomson, M., Rajan, N., Thomasson, A., Auvermann, B., Neely, H., Awika, J., "Current Trends in Genomics and Phenomics in Wheat Breeding," Agri Engineering, San Antonio, TX. September 12, 2017.

  82. Jung, J., "Unmanned Systems Research & Remote Sensing," Texas A&M AgeriLife Advanced Leaders Program, Corpus Christi, TX. August 17, 2017.

  83. Jung, J., Maeda, M., "The Future of Agronomic Management: Remote Sensors," Texas A&M AgeriLife Advanced Leaders Program, Corpus Christi, TX. August 15, 2017.

  84. Yeom, J., Jung, J., Chang, A., Maeda, M., Landivar, J., "Cotton Growth Modeling using UAV Vegetation Indicies," International Geoscience and Remote Sensing Symposium, Dallas, TX. July 27, 2017.

  85. Chang, A., Jung, J., Yeom, J., Maeda, M., Landivar, J., "Sorghum Panicle Extraction from UAS data," International Geoscience and Remote Sensing Symposium, Dallas, TX. July 27, 2017.

  86. Ashapure, A., Mahta, A., Dikshit, O., Jung, J., "Ensemble Classifier based Training Data Refinement Technique for Classification of Remotely Sensed Optical Images," International Geoscience and Remote Sensing Symposium, Dallas, TX. July 26, 2017.

  87. Jung, J., "High throughput phenotyping using UAS," USDA HSI Field Day on UAS in Precision Farming, Corpus Christi, TX. June 13, 2017.

  88. Jung, M., Yeom, J., Chang, A., Jung, J., Kim, Y., "Automatic GCP Target Detection from UAS Imagery," International Symposium on Remote Sensing, Nagoya, Japan. May 17, 2017.

  89. Kim, Y., Chang, A., Yeom, J., Jung, J., Kim, Y., "Image Fusion for Data with Different Spectral Ranges," International Symposium on Remote Sensing, Nagoya, Japan. May 17, 2017.

  90. Jung, J., Enciso, J., "UAV applications for phenotyping and selecting best management practices," Texas A&M AgriLife Field Day, Weslaco, TX. May 11, 2017.

  91. Avant, B., Cope, D., Jung, J., Rajan, N., "Application of UAS in Agriculture Research," Texas UAS Summit, Dallas, TX. May 9, 2017.

  92. Nguyen, V., Jung, J., "Integrate Dual Thermal RGB Camera on UAV For Cattle Tracking," Texas UAS Summit, Dallas, TX. May 9, 2017.

  93. Ashapure, A., Jung, J., "Sorghum emergence and pinnacle detection using UAVs," Texas UAS Summit, Dallas, TX. May 9, 2017.

  94. Chang, A., Jung, J., "Radiometric Calibration using ELM (Empirical Line Method) for UAV data," Texas A&M AgriLife Workshop, College Station, TX. April 21, 2017.

  95. Jung, J., "UAS for Agriculture Research," Texas A&M AgriLife 2017 Spring Seminar Series, Corpus Christi, TX. March 20, 2017.

  96. Landivar, J., Jung, J., Maeda, M., Chang, A., Yeom, J., "Agronomic and physiological basis for the development of a UAS-based remote sensing platform for cotton research, phenotyping and precision management," 2017 Texas/Oklahoma Cotton Physiology Meeting, College Station, TX. February 2, 2017.

  97. Jung, J., Maeda, M., "Unmanned Aerial System (UAS) Platforms for Cotton Breeding," 2017 Texas/Oklahoma Cotton Physiology Meeting, College Station, TX. February 2, 2017.

  98. J. Jung, “UASHub: Online research collaboration portal for UAS data,” Keynote/Plenary Address in 2016 Internal UAS Post Season Meeting, College Station, TX. January, 12, 2017

  99. C. Yang, J. Landivar, M. Maeda, J. Jung, M. Starek, T. Chu, A. Chang, “Comparison of Aerial Imagery from Manned and Unmanned Aircraft-Based Platforms for Monitoring Cotton Growth,” 2017 Beltwide Cotton Conferences, Dallas, TX. January 5, 2017

  100. J. Landivar, J. Jung, A. Maeda, L. Huynh, M. Maeda, “Integration of Unmanned Aerial System (UAS) Data and Process Based Simulation Models to Forecast Crop Growth and Yield,” 2017 Beltwide Cotton Conferences, Dallas, TX. January 5, 2017

  101. J. Yeom, J. Jung, A. Chang, J. Landivar, M. Maeda, “Open Cotton Boll Detection Methodology Using Unmanned Aerial System (UAS) Imagery,” 2017 Beltwide Cotton Conferences, Dallas, TX. January 5, 2017

  102. M. Maeda, J. Landivar, J. Jung, A. Chang, J. Yeom, A. Maeda, J. McGinty, J. Enciso, W. Smith, D. Stelly, S. Hague, J. Dever, “Unmanned Aerial System (UAS) Platforms for Cotton Breeding: Findings and Challenges,” 2017 Beltwide Cotton Conferences, Dallas, TX. January 5, 2017

  103. J. Jung, J. Landivar, A. Chang, J. Yeom, M. Maeda, “Unmanned Aerial System (UAS)-Based Asymmetric Cotton Growth Model for High Throughput Phenotyping,” 2017 Beltwide Cotton Conferences, Dallas, TX. January 5, 2017

  104. A. Chang, J. Jung, M. Maeda, J. Landivar, H. Cavalho, J. Yeom, “Unmanned Aerial System (UAS)-Based Cotton Canopy Temperature Measurement System,” 2017 Beltwide Cotton Conferences, Dallas, TX. January 5, 2017

  105. G. Odvody, S. Murray, J. Jung, M. Maeda, T. Chu, M. Starek, "UAS imaging of corn hybrid response to southern rust and progression to charcoal stalk rot," Plant Protection Association Conference, College Station, TX. December 7, 2016

  106. J. Jung, "Development of UAS based High Throughput Phenotyping System," Coastal Bend GIS Day 2016, Corpus Christi, TX. November 16, 2016

  107. S. C. Murray, G. Richardson, L. Malambo, Y. Shi, B. Hartley, J. Demieville, J. Pekar, A. Thomasson, S. Popescu, D. Cope, J. Olsenholler, M. P. Bishop, J. Valasek, X. Dong, W. L. Rooney, G. Oliver, C. Ratcliff, D. D. Baltensperger, M. Maeda, A. Maeda, A. Chang, T. Chu, J. Jung, M. Starek, M. Brewer and J. Landivar, "Temporal Estimates of Maize Plant Growth in a Breeding Program Using Ground Based and Unmanned Aerial Vehicle Systems," American Society of Agronomy, Phoenix, AZ. Nov 6-9, 2016

  108. J. Jung, J. Landivar, M. Maeda, A. Chang, "High Throughput Phenotyping using UAS," UAS research center workshop at Oak Ridge National Laboratory, Knoxville, TN. November 1, 2016

  109. J. Jung, "3D structure analysis using LiDAR," Texas A&M University – Kingsville guest lecture, Texas A&M University - Kingsville, Kingsville, TX. October 4, 2016

  110. J. Jung, "Beyond flying: Using UAS for precision agriculture," FAA / UAS Test Sites: Technical Interchange Meeting, Texas A&M University - Corpus Christi, Corpus Christi, TX. September 28, 2016

  111. J. Jung, "UAS based high throughput phenotyping system," APHIS|ARS|Texas A&M AgriLife workshop, USDA ARS, College Station, TX. September 13, 2016

  112. J. Jung, A. Chang, J. Landivar, M. Maeda, "UASHub: online research collaboration portal for UAS data," North American Plant Phenotyping Network, Purdue University, West Lafayette, IN. August 29, 2016

  113. J. Landivar, M. Maeda, J. Mcginty, J. Jung, A. Chang, J. Enciso, "Integration of ground and UAS platforms for the evaluation of cultivar performance (phenotyping) and experimental treatments," World cotton research conference, Brazil. May 2, 2016

  114. J. Jung, "High throughput phenotyping using UAS," Texas UAS Summit, Austin, TX, March 31, 2016

  115. J. Jung, "UAS based high throughput phenotyping for agriculture applications," ESRI FedGIS 2016, Washington DC, February 24, 2016

  116. J. Jung, "UAS based high throughput phenotyping system," Natural resource management with remote sensing 2016, Texas A&M AgriLife Research, Corpus Christi, TX, February 4, 2016

  117. J. Landivar, M. Maeda, J. McGinty, J. Jung, R. Chen, A. Chang, T. Chu, J. Enciso, C. Yang, “Integration of Ground- and UAS-Platforms for the Evaluation of Cultivar Performance (phenotyping) and Experimental Treatments,” 2016 Beltwide Cotton Conferences, New Orleans, Louisiana, January 5-7, 2016

  118. J. Jung, A. Chang, J. Landivar, M. Maeda, R. Chen, T. Chu, J. Enciso , C. Yang, “Unmanned Aerial System (UAS) Assisted Framework for the Selection of High Yielding Cultivars,” 2016 Beltwide Cotton Conferences, New Orleans, Louisiana, January 5-7, 2016

  119. A. Chang , J. Jung, J. Landivar, M. Maeda, R. Chen , T. Chu , J. Enciso , C. Yang, “Unmanned Aerial System (UAS) Based Cotton Growth Monitoring System,” 2016 Beltwide Cotton Conferences, New Orleans, Louisiana, January 5-7, 2016

  120. R. Chen , T. Chu , J. Landivar, J. Jung, C. Yang, A. Chang, M. Maeda, J. Enciso , “Unmanned Aerial System (UAS) for Precision Agriculture: First Results from a Growing Cycle of Cotton,” 2016 Beltwide Cotton Conferences, New Orleans, Louisiana, January 5-7, 2016

  121. M. Maeda, J. Landivar, J. McGinty, J. Jung, R. Chen, A. Chang, T. Chu, J. Enciso, C. Yang, “Development of a Ground-Based Platform for Plant Phenotyping and Crop Management Decisions,” 2016 Beltwide Cotton Conferences, New Orleans, Louisiana, January 5-7, 2016

  122. J. Jung, A. Chang, H. Lee, "Comparison of vegetation structural parameters at stand level derived from leaf-on and leaf-off LiDAR data," US-Korea Conference, Korean-American Science and Engineer Association, Atlanta, GA, July 30, 2015

  123. H. Lee, J. Jung, Y. Yoon, "Deformation measurement of railroad-bridge using digital photogrammetry," US-Korea Conference, Korean-American Science and Engineer Association, Atlanta, GA, July 30, 2015

  124. A. Chang, J. Jung, "Tree level forest thematic map generation using airborne LiDAR data," US-Korea Conference, Korean-American Science and Engineer Association, Atlanta, GA, July 30, 2015

  125. J. Jung, M. Starek, M. Rahnemoonfar, J. Landivar, "High-throughput UAS-based phenotyping system in support of energy crop development," International Laser Mapping Forum 2015, Denver, CO, February 23, 2015

  126. B. Madurapperuma, B. Iannone, J. Jung, B. Pijanowski, S. Fei, "Relationship of structural vegetation complexity and plant invasivability: Integrating LiDAR and FIA invasive species plot data in the Appalachian Mountains of the USA," Restoring Forests Congress, IUFRO, West Lafayette, IN, October 15, 2014

  127. A.Y. Davis, J. Jung, B.C. Pijanowski, E.S. Minor, “Characterizing the relationship between vegetation volume, building volume, and urban heat islands,” 2014 US-IALE Annual Landscape Ecology Symposium, Anchorage, Alaska, May 18–22, 2014

  128. M. Ghadiri Khanaposhtani, L.J. Villanueva-Rivera, J. Jung, B.C. Pijanowski, “Acoustic and bird diversity modeled with highway noise and habitat structure extracted from LiDAR,” 2014 US-IALE Annual Landscape Ecology Symposium, Anchorage, Alaska, May 18–22, 2014

  129. J. Jung, M.M. Crawford, B.C. Pijanowski, “Characterizing forest structure using full waveform LiDAR,” Workshop on advancing continuous wave LADAR for surveying, mapping and remote sensing, Purdue University, West Lafayette, IN, Apr 3, 2014

  130. B.D. Branch, K. Wegner, S. Smith, D.G. Schulze, V. Merwade, J. Jung, A. Bessenbacher, “A library approach to establish an educational data curation framework that supports K-12 data science sustainability,” American Geophysical Union Fall Meeting, San Diego, Dec 9-13, 2013

  131. J. Jung, “Introduction to LiDARHub,” Indiana Geographic Information Council Webinars, Sep 26, 2013

  132. J. Jung, “Use of geospatial data for K12 Education,” Globe Workshop, Purdue University, West Lafayette, IN, Jul 15-18, 2013

  133. J. Jung, B. C. Pijanowski, “Satellite and remote sensing applications for soundscape ecological research,” Desert Soundscapes: An NSF Workshop on Soundscapes and Society, C.O.D. Ranch, Oracle, AZ, Jul 14-17, 2013

  134. J. Jung, B. Pijanowski, M. Crawford, “Development of the LiDAR-HUB,” 2013 Indiana GIS Conference, Muncie, Indiana, May 7–8, 2013

  135. J. Jung, B. Pijanowski, “Using LiDAR to model invasive species across regional landscapes,” 2013 US-IALE Annual Landscape Ecology Symposium, Austin, Texas, Apr 14–18, 2013

  136. J. Jung, B. C. Pijanowski, “Development of a multi-faceted, interactive, web-based Chicago ULTRA-Hub,” The Postdoctoral Research Symposium, Argonne National Laboratory, Illinois, Sep 20-21, 2012

  137. L. J. Villanueva-Rivera, B. Pijanowski, B. K. Pekin, J. Jung, “Soundscape of a neotropical soundscape: Temporal and spatial patterns,” 2012 Ecological Society of America Annual Meeting, Portland, Oregon, Aug 5–10, 2012

  138. B. Pijanowski, L. J. Villanueva-Rivera, J. Jung, M. Crawford, “Soundscape patterns are related to landscape structure in a Costa Rican tropical rain forest,” 2012 US-IALE Annual Landscape Ecology Symposium, Newport, Rhode Island, Apr 8–12, 2012

  139. J. Jung, B. Pijanowski, A. Davis, “3D Mapping of green infrastructure using data fusion,” American Association of Geographers Annual Meeting, New York, New York, Feb 24-28, 2012

  140. G. Rochon, B. H. Mbongo, L. Biehl, J. Jung, S. Fall, J. Quansah, B. Araya, A. Maud, W. Kim, D. Grant, T. Thiam, “Combining Heterogeneous Data for Improved Identification & Sustainable Mitigation of Infectious Disease Vector Habitat and for Assessment of Vulnerability to Vector-Borne, Water-Borne and Airborne Diseases,” US-Egypt Workshop on Space Technology and Geo-information for Sustainable Development, Cairo, Egypt, Jun 14-17, 2010

  141. J. Jung, D. Grant, “High Performance Computing for the Rapid Generation of Digital Terrain Models from LIDAR Data,” Computational Science & Engineering Student Conference, West Lafayette, Indiana, Apr 1, 2010

  142. J. Jung, M. Crawford, “Aiding Haiti Earthquake Disaster Response Using Free Open Source Software,” Sigma XI Graduate Student Poster Competition, West Lafayette, Indiana, Feb 17, 2010

  143. J. Jung, M. Crawford, S. Lee, “Efficiency Assessment of Complexity Estimation Based Work Load Balancing for a Parallel LIDAR Waveform Decomposition Algorithm,” Proceedings of American Society of Photogrammetry and Remote Sensing Conference, April 26-30, San Diego, California, 2010, DVD.

  144. J. Jung, M. Crawford, S. Lee, “Work Load Balancing For A Parallel LIDAR Waveform Decomposition Algorithm,” Proceedings of International Symposium on Remote Sensing, Oct 28-30, Busan, Korea, 2009, DVD.

  145. G. Rochon, L. Biehl, C. Maringanti, S. Fall, C. Robinson, B. Araya, J. Jung, V. Kolluri, “The Origins and Development of Orbiting Sensors & Spatial Databases to Facilitate Disaster Mitigation in Africa,” Egyptian Meteorological Authority (EMA) & Eastern Nile Technical Regional Office (ENTRO), Cairo, Egypt, Mar 16, 2008

  146. G. Rochon, L. Tsoukalas, C. Johannsen, J. Quansah, L. Biehl, D. Kearney, S. Fall, C. Maringanti, B. Araya, C. Robinson, V. Kolluri, J. Jung, P. Durr, J. Daw, W. Hutchinson, “BioFuels: The Dialectics of Energy Security and Food Security,” BioFuels Symposium, NATO Pilot Study on Clean Technologies & Processes, Berlin, Germany, May 4-9, 2008

  147. M. Buergin, J. Jung, M. Moghaddam, M. Crawford, “Model-Based Integration of INSAR and LIDAR For Canopy Structure,” 2009 IEEE Geoscience and Remote Sensing Symposium, July 12-17, Cape Town, South Africa, 2009

  148. J. Jung, M. Crawford, “A Two-Stage Approach for Decomposition of ICESat Waveforms, Geoscience and Remote Sensing Symposium,” 2008 IEEE Geoscience and Remote Sensing Symposium, July 6-11, Boston, Massachusetts, pp. 680-683, 2008.

  149. L. Biehl, G. Rochon, J. Jung, S. Fall, B. Araya, C. Maringanti, B. H. Mbongo, “Direct Broadcast Activities at Purdue University,” SeaSpace 18th International Remote Sensing Conference, Mexico City, Oct 6-7, 2008

  150. J. Jung, H.D. Park, “Development of Interface for Information Extraction from 3D GIS Database,” Proceedings of The Korean Society for Geosystem Engineering, Apr 19, Daejeon, Korea, pp. 41-45, 2005.

  151. J. Jung, H.D. Park, “Design of Interface for Borehole, Groundwater and Potential Pollutant Data,” Proceedings of The Korean Society for Geosystem Engineering, Oct 19, Seoul, Korea, pp. 257-262, 2004.

  152. J. Jung, H.D. Park, “Integrated Management System of Ground Water Using the GIS and 3D Contaminant Model,” Proceedings of American Society for Photogrammetry and Remote Sensing Conference, May 23-38, Denver, Colorado, 2004, CD-ROM.

  153. J. Jung, H.D. Park, J.G. Choe, “Development of Subsurface Characterization System Using Borehole Data,” Proceedings of The Korean Society for Geosystem Engineering, Apr 16-17, Chuncheon, Korea, pp. 77-80, 2004.