Hyperspectral data analyst uses his skills to get meaningful results from the images. – Tarun Khatana

Interview with Tarun Khatana

Tarun Khatana

Hyperspectral Data Analyst, Remote Sensing & GIS Expert
Lucknow, Uttar Pradesh, India

Q1. You are a Civil Engineer then what did attract you towards Geomatics?

Geomatics is a sub branch of advance surveying. Geomatics opens up lot of opportunities in different sectors, be it in agriculture, disaster management, water management, etc.

 Opportunity to work in different sectors and sticking to technical domain attract me.

Q2. What is the main job of Hyperspectral Data Analyst in real world?

Hyperspectral Data is one of the remotely sensed data type. A hyperspectral data analyst uses his skills to get meaningful results from the images he gets. To obtain results hyperspectral data analyst should be familiar with various image processing software’s, basics of statistics, a programming language. Various domain uses hyperspectral data for example in agriculture to identity crop health, for identification of minerals etc.

Q3. How do you see Remote Sensing field for new students as a career?

Remote Sensing will be a good career option especially in the coming years. It is a multidisciplinary field where students can use their own understating of their domain subjects. Remote sensing is a field, which is open for many sectors. One having an understating of the subject will be able to explore various sectors.

Q4. Which type of satellite data is appropriate to get vegetation index or crop yield?

Multispectral optical satellite data are appropriate for vegetation indices and crop yield estimation.

Tarun Khatana

Q5. How many different projects have you done in your career?

I had opportunity to work on crop health estimation, various crop parameters estimation, crop yield prediction and lunar ice detection

Q6. Which one skill do you like most about yourself?

 Ability to find answers

Q7. What is the best steps to become a Geomatics Engineer or Expert?

Knowing the basics of remote sensing and GIS is important, understanding the science behind image formation, basics statistics and a programming language.

Best step would be to know ones interest, as this field is multidisciplinary   

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