Publications

Journal Publications

  1. Harikumar, A.; D’Odorico, P.; Ensminger, I. “Combining Spectral, Spatial-Contextual, and Structural Information in Multispectral UAV Data for Spruce Crown Delineation.Remote Sens. 202214, 2044. 
  2. A. Harikumar, X. Liang, F. Bovolo and L. Bruzzone. “Void-volume based Stem Geometric Modelling and Branch-knot Localization in Terrestrial Laser Scanning Data.” in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022).
  3. Harikumar A, Paris C, Bovolo F, Bruzzone L. “A Crown Quantization-Based Approach to Tree-Species Classification Using High-Density Airborne Laser Scanning Data.IEEE Transactions on Geoscience and Remote Sensing. 2020 Aug 10;59(5):4444-53. IEEE Transactions on Geoscience and Remote Sensing (2020).
  4. Harikumar, Aravind, Francesca Bovolo, and Lorenzo Bruzzone. “A local projection-based approach to individual tree detection and 3-D crown delineation in multistoried coniferous forests using high-density airborne LiDAR data.” IEEE Transactions on Geoscience and Remote Sensing 57.2 (2019): 1168-1182.
  5. Harikumar, Aravind, Francesca Bovolo, and Lorenzo Bruzzone. “An internal crown geometric model for conifer species classification with high-density lidar data.” IEEE Transactions on Geoscience and Remote Sensing 55.5 (2017): 2924-2940.
  6. Harikumar A, Kumar A, Stein A, Raju PL, Krishna Murthy YV.”An effective hybrid approach to remote-sensing image classification.International journal of remote sensing 36.11 (2015): 2767-2785.
  7. Aravind, H., C. Rajgopal, and K. P. Soman. “A simple approach to clustering in excel.”  International Journal of Computer Applications 11.7 (2010): 19-25.

Conference Proceedings

  1. Harikumar A, Wang. S, Ensminger I (2021), ‘A Band Grouping Based Approach for Phenotype-Class Mapping of Tree Genotypes using Spectro-Temporal Information in Hyperspectral Time-series UAV Data.’ IGARSS 2021 (submitted).
  2. Harikumar A, D’Odorico P, Ensminger I (2020) ‘A Fuzzy Approach to individual tree crown delineation in UAV based photogrammetric multispectral data.’ IGARSS 2020 (IGARSS_2020).
  3. Harikumar, A., Bovolo, F., and Xinlian, L. (2019) ’An effective approach to 3D stem modeling and branch-knot localization in multiscan TLS data.’ , Geoscience and Remote Sensing Symposium (IGARSS), IEEE, 2019 Jul, Tokyo, Japan.  
  4. Harikumar, A., Paris, C., Bovolo, F., and Bruzzone, L. (2018), ’A novel data-driven approach to tree species classification using high density multireturn airborne lidar data.’ , In SPIE Remote Sensing, International Society for Optics and Photonics, 2018 Sep, Berlin, Germany. 
  5. Harikumar, A., Xinlian, L. and Bovolo, F. (2018) ’An approach to tree species classification using voxel neighborhood density based subsampling of multiscan terrestrial LiDAR data.’ , Geoscience and Remote Sensing Symposium (IGARSS), IEEE, 2018 Jul, Valencia, Spain. 
  6. Harikumar, A., Bovolo, F., and Bruzzone, L., (2017) ’An approach to conifer stem location and modeling in high density airborne LiDAR data.’ , Proc. SPIE 10427, Image and Signal Processing for Remote Sensing XXIII, 104270Q, 4 October 2017, Warsaw, Poland. 
  7. Harikumar A., Bovolo F., Bruzzone L., (2017) ’Subdominant Tree Detection in Multi-layered forests by a local projection of airborne LiDAR data.’ , Geoscience and Remote Sensing Symposium (IGARSS), IEEE, 2017 Jul, Texas, USA. 
  8. Harikumar, A., Bovolo, F. and Bruzzone, L., (2016) ’A novel approach to internal crown characterization for coniferous tree species classification.’ , Proc. SPIE 10004, Image and Signal Processing for Remote Sensing XXII, 100040H, 18 October 2016, Eidenburg, United Kingdom.
  9. Harikumar A., Bovolo F., Bruzzone L. (2016) ’An approach to conifer species classification based on crown structure modeling in high density airborne LiDAR data.’ , Geoscience and Remote Sensing Symposium (IGARSS), IEEE, 2016 Jul, Beijing, China.

Poster presentations

  1. S. Wang, A. Harikumar, N. Isabel, P. Lenz, I. Ensminger, “High-throughput Phenotypic-Trait-Class Mapping using Crown Structural Information in Very-High-Spatial-Resolution Photogrammetric Multispectral Drone Data”, AGU fall meeting, New Orleans, LA, United States, Dec 2021, Hybrid (poster).
  2. S. Wang, A. Harikumar, I. Ensminger, “Can Drone Based Vegetation Indices Track Photosynthetic Phenology in Forest Ecosystems” Canadian Society of Plant Biologists (CSPB) Annual Conference, Jun 2021, Virtual (poster).
  3. S. Wang, A. Harikumar, I. Ensminger, “Can UAV-based Vegetation Indices Track the photosynthetic phenology in Boreal Ecosystems”, Atwood 2021, April 2021, Virtual (talk)
  4. A. Harikumar, C. Wong, P. D’Odorico, A. Gessler, P. Lenz, N. Isabel, I. Ensminger, “Drone-based High-througput phenotyping for monitoring forest health and breeding trees better adapted to future climate”, 10th International Conference on Agro-Geoinformatics and 43rd Canadian Symposium on Remote Sensing (submitted).

Seminar Presentions

  1. A. Harikumar, “Phenotyping on the Fast Track – High-resolution Remote Sensing of Tree Traits”, February 2021.
  2. A. Harikumar, “Mapping Vegetation Traits using Drone Based Remote Sensing Time-series Data”, February 2021.
%d bloggers like this: