College of Sciences staff by location (campus)

Dr Nitin Bhatia staff profile picture

Contact details +6469517121

Dr Nitin Bhatia PhD

Research Officer - Precision Agriculture

Contract Research Unit

Providing expertise in hyperspectral remote sensing and AI by utilizing advanced techniques to extract meaningful information from airborne/spaceborne and lab-based hyperspectral sensors. Estimate the greenhouse gases using remote sensing data. Develop machine learning/deep learning-based models for classification and regression problems. Develop atmospheric correction modules and other image correction modules. As a continuous work of my PhD, I have developed my own atmospheric correction module on Python platform. Provide technical guidance, mentoring and training to technical employees, and PhD and master students. Quantify the propagation of uncertainty in the chain of processes. Sensitivity analysis of parameters/models involved in estimating nutrient content of pasture lands. 

My research includes hyperspectral remote sensing and AI with a deep understanding of how to acquire and analyze data from sensors that capture information across a wide range of the electromagnetic spectrum. I possess expertise in developing algorithms and statistical models to process hyperspectral data and extract meaningful information about natural and built environments. With extensive knowledge of machine learning techniques and can apply them to analyze and interpret complex data sets. Strong analytical skills and proficiency in programming languages (C/C++, Python, R, MATLAB etc).

More about me...View less...

Professional

Qualifications

  • Doctor of Philosophy - University of Twente (2018)

Research Expertise

Research Interests

Hyperspectral remote sensing

Land use/Land cover change detection

Precision Agriculture

Sustainability 

Greenhouse gases estimations

Forest carbon biomass

Research Opportunities

  • PhD  (01/07/2023) Hyperspectral remote sensing in prevision agriculture and to estimate greenhouse gases (for more information send an email to me: N.Bhatia@massey.ac.nz)

Thematics

Resource Development and Management

Area of Expertise

Field of research codes
Agricultural And Veterinary Sciences (070000): Agricultural Spatial Analysis and Modelling (070104): Agriculture, Land and Farm Management (070100):
Atmospheric Radiation (040103): Atmospheric Sciences (040100): Climate Change Processes (040104):
Conservation and Biodiversity (050202):
Earth Sciences (040000):
Environmental Impact Assessment (050204): Environmental Monitoring (050206): Environmental Science and Management (050200): Environmental Sciences (050000):
Forestry Sciences (070500):
Information And Computing Sciences (080000)

Keywords

Hyperspectral Remote Sensing

Machine learning (AI) techniques

Precision Agriculture

Greenhouse gas estimation

Data science and Data processing

Multispectral remote sensing

Airborne and space-borne remote sensing

Uncertainty propagation analyses

Sensitivity analyses

Research Projects

Summary of Research Projects

Position Current Completed
Key Researcher / Named Investigator / Associate Investigator 1 0
Project Leader 2 5

Research Outputs

Journal

Odendaal, JH., Le Guen, MJ., Diegel, O., Bhatia, N., Wilson, R., & Potgieter, J. (2023). On using steerable needles for the 3D printing of biomaterials. Materials Today: Proceedings.
[Journal article]Authored by: Bhatia, N.
Bhatia, N., Pullanagari, RR., & Cumming, GS. (2021). Propagation of atmospheric condition parameter uncertainty in measurements of landscape heterogeneity. International Journal of Remote Sensing. 42(21), 8345-8364
[Journal article]Authored by: Bhatia, N.
Pullanagari, RR., Dehghan-Shoar, M., Yule, IJ., & Bhatia, N. (2021). Field spectroscopy of canopy nitrogen concentration in temperate grasslands using a convolutional neural network. Remote Sensing of Environment. 257
[Journal article]Authored by: Bhatia, N.
Bhatia, N., & Cummings, G. (2020). Deforestation and economic growth trends on oceanic islands highlight the need for meso-scale analysis and improved mid-range theory in conservation. Ecology and Society: a journal of integrative science for resilience and sustainability.
[Journal article]Authored by: Bhatia, N.
Bhatia, N. (2018). An optimization approach to estimate and calibrate column water vapour for hyperspectral airborne data. International Journal of Remote Sensing. 39
[Journal article]Authored by: Bhatia, N.
Bhatia, N. (2018). Propagation of uncertainty in atmospheric parameters to hyperspectral unmixing. Remote Sensing of Environment: an interdisciplinary journal.
[Journal article]Authored by: Bhatia, N.

Conference

Odendaal, JH., Bhatia, N., Wilson, R., & Potgieter, J.Exploring non-destructive mechanical characterisation of hydrogels using hyperspectral imaging and machine vision. 2022 28th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2022.
[Conference]Authored by: Bhatia, N.
Odendaal, JH., Joo Le Guen, M., Diegel, O., Bhatia, N., Wilson, R., & Potgieter, J.3D Printing using steerable needles. 2022 28th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2022.
[Conference]Authored by: Bhatia, N.

Teaching and Supervision

Teaching Statement

Doctor of Philosophy
Soon going to start with Dan Sturgess who is going to detect and quantify hydrothermal alteration and volcanic degassing using hyperspectral remote sensing
Jean Henri Odendaal developed (2022) a steerable needle robot with biomaterials for the application of 3D printing in situ towards vivo artificial muscles. He used the hyperspectral sensor to detect the firmness of hydrogels.

Current MSc students:
Sunmeet Bhatia's research focuses on detecting wild carrots using airborne hyperspectral data

Stefan Carter's research aims to identify regional hotspots where mature indigenous forest health in New Zealand is under threat using landscape configuration statistics and classified, multi-spectral satellite imagery

Summary of Doctoral Supervision

Position Current Completed
Co-supervisor 2 1

Current Doctoral Supervision

Co-supervisor of:

  • Dhanesha Nanayakkara Nanayakkara Hinidu - Doctor of Philosophy
    Utilizing multispectral and hyperspectral remote sensing techniques for the timely identification of weed contaminants during hybrid vegetable seed production
  • Dan Sturgess - Doctor of Philosophy
    Detection and quantification of hydrothermal alteration and volcanic degassing using hyperspectral remote sensing

Completed Doctoral Supervision

Co-supervisor of:

  • 2023 - Jean Odendaal - Doctor of Philosophy
    The Development of a Steerable Needle Robot with Biomaterials for the Application of 3D Printing In Situ Towards In Vivo Artificial Muscles

Media and Links