Aravind Harikumar
Postdoctoral Fellow
Contact Information
Email: aravind.harikumar@utoronto.ca
Phone: 905-569-4235
ResearchGate: Profile
Profile
Hometown: Trivandrum, India
Aravind is a postdoctoral fellow at the University of Toronto Mississauga. He studies vegetation dynamics using optical and LiDAR remote sensing and machine learning techniques. His current research focus is on tree genotype classification using high-resolution UAV-based optical remote sensing data.
Aravind received his doctorate in Information and Communication Technology from the University of Trento, Italy. His PhD thesis is focused on biophysical parameter estimation and tree species classification using high-density LiDAR data. He completed his masters in Geoinformatics from the University of Twente, Netherlands in 2014, and masters in Remote sensing and Wireless Sensor Networks form the Amrita Vishwa Vidyapeetham, India in 2011.
Outside the lab, Aravind enjoys playing volley ball and running
Education
PhD (Information and Communication Technology), University of Trento, Trento, Italy (2014-2019)
MSc (Geoinformatics), University of Twente, The Netherlands (2012 – 2014)
MTech (Remote Sensing and Wireless Sensor Networks), Amrita Vishwa Vidyapeetham, India (2009 – 2011)
BTech (Electronics and Communication), University of Kerala, India (2003 – 2007)
Journal Publications
- Harikumar, A.; D’Odorico, P.; Ensminger, I. (2022) “Combining Spectral, Spatial-Contextual, and Structural Information in Multispectral UAV Data for Spruce Crown Delineation.” Remote Sens. 2022, 14, 2044.
- A. Harikumar, X. Liang, F. Bovolo and L. Bruzzone. (2022) “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.
- Harikumar, A., Paris, C., Bovolo, F., & Bruzzone, L. (2020). A Crown Quantization-Based Approach to Tree-Species Classification Using High-Density Airborne Laser Scanning Data. IEEE Transactions on Geoscience and Remote Sensing.
- Harikumar, A., Bovolo, F., and Bruzzone, L. (2019), ’A local projection based approach to individual tree detection and 3D Crown Delineation in multistoried coniferous forests using high density airborne LiDAR data.’ , IEEE Transactions on Geoscience and Remote Sensing.
- Harikumar, A., Bovolo, F., and Bruzzone, L. (2017), ’An internal crown geometric model for conifer species classification with high density LiDAR data.’, IEEE Transactions on Geoscience and Remote Sensing.
- Harikumar, A., Kumar, A., Stein, A., Raju, P.L.N. and Krishna Murthy, Y.V.N, (2015). ’An effective hybrid approach to remote sensing image classification.’, International Journal of Remote Sensing.
- Harikumar, A., Chundaikattu R., Soman K.P. (2010), ‘A simple approach to clustering in excel.’ International Journal of Computer Applications.
Conference Proceedings
- Harikumar A, Wang.S, and 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, Jul. 2021 (accepted for oral presentation).
- Harikumar A, D’Odorico P, Ensminger I (2020) “A Fuzzy Approach to Individual Tree Crown Delineation in Uav Based Photogrammetric Multispectral Data,” in IGARSS 2020 – 2020 IEEE International Geoscience and Remote Sensing Symposium, Sep. 2020, pp. 4132–4135.
- 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 (oral presentation).
- 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 (oral presentation).
- 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 (poster presentation).
- 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 (oral presentation).
- 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 (oral presentation).
- 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 (oral presentation).
- 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 (oral presentation).
Abstracts
- Harikumar. A, Wang. S, and I. Ensminger. I, (2021) “Deep-Feature based Phenotypic Classification of Tree Genotypes in Very-high-resolution Hyperspectral UAV Data” presented at the 42nd Canadian Symposium on Remote Sensing, Jun. 2021
- Harikumar. A and Ensminger. I, (2020) “Classification of Tree Genotype using Spectro-temporal Variance in Biophysical Traits Estimated from UAV-based Hyperspectral Time Series Data,” presented at the AGU Fall Meeting 2020, Dec. 2020.