20 Remote Sensing Interview Questions and Answers

If you’re interviewing for a job that involves remote sensing, you can expect to be asked questions about your experience and knowledge in the field. preparing for these questions in advance will help you go into the interview with confidence and give the best possible answers. In this article, we’ll discuss some common remote sensing interview questions and how you can answer them.

Remote Sensing Interview Questions and Answers

Here are 20 commonly asked Remote Sensing interview questions and answers to prepare you for your interview:

1. What is remote sensing?

Remote sensing is the process of acquiring information about an object or a phenomenon without coming into direct contact with it. This can be done through the use of sensors that collect data about the object or phenomenon from a distance. This data can then be used to create a model or map of the object or phenomenon being studied.

2. Can you explain what the electromagnetic spectrum is?

The electromagnetic spectrum is the range of all possible frequencies of electromagnetic radiation. The spectrum is often divided into different regions, with each region corresponding to a different type of electromagnetic radiation. For example, visible light occupies a very small portion of the electromagnetic spectrum, while radio waves occupy a much larger portion.

3. How do we classify the different wavelength bands in the EM spectrum?

We can classify the different wavelength bands in the EM spectrum by their frequency, wavelength, or energy. The EM spectrum is generally divided into seven different categories: radio waves, microwaves, infrared waves, visible light, ultraviolet waves, x-rays, and gamma rays.

4. What are multi-spectral and hyperspectral images?

Multi-spectral images are images that have been taken using multiple wavelengths of light, while hyperspectral images are images that have been taken using a continuous range of wavelengths. Hyperspectral images are often used in remote sensing applications, as they can provide a great deal of information about the composition of the objects being imaged.

5. Are there any differences between remote sensing satellites and airborne sensors? If yes, can you please explain them?

There are a few key differences between remote sensing satellites and airborne sensors. First, satellites are able to cover a much larger area than airborne sensors. Second, satellites have a longer lifespan than airborne sensors, meaning they can collect data over a longer period of time. Finally, satellites can be equipped with a variety of different sensors, while airborne sensors are usually limited to one type of sensor.

6. What’s the difference between active and passive sensors?

Active sensors emit energy (usually in the form of microwaves) in order to image an area, while passive sensors simply detect and record the energy that is already present. Active sensors are more expensive and require more power, but they can image an area regardless of weather conditions. Passive sensors are less expensive and require less power, but they can only image an area during daylight hours.

7. What are some common image types used in remote sensing?

Some common image types used in remote sensing are aerial photographs, satellite images, and radar images.

8. Why are digital numbers important to a remote sensor analyst?

Digital numbers are important to a remote sensor analyst because they are used to represent the intensity of the electromagnetic radiation that is being detected by the sensor. The higher the digital number, the greater the intensity of the radiation. This information is then used to create an image of the area being surveyed.

9. What is GIS and how does it relate to Remote Sensing?

GIS is a system that allows for the capture, storage, manipulation, analysis, and presentation of data that is spatially referenced. In other words, it allows you to see data in relation to where it is on the earth. Remote sensing is a technology that is used to collect data about the earth from a distance, usually from an aircraft or satellite. The data that is collected can be used in a GIS to create maps and perform analysis.

10. What is a coordinate reference system?

A coordinate reference system (CRS) is a system that defines how geographic coordinates are related to real-world features. A CRS can be used to define the coordinates of a point on the earth’s surface, or it can be used to define the coordinates of a point in space. There are many different coordinate reference systems in use today, and each one has its own advantages and disadvantages.

11. Can you give me an example of how ground control points are used in remote sensing?

Ground control points (GCPs) are used to help ensure the accuracy of remotely-sensed images. GCPs are points on the ground that can be identified in both the real world and in the image. By using GCPs, analysts can more accurately map the features in the image to their corresponding locations on the ground.

12. What type of data can be collected using satellite imagery?

Satellite imagery can be used to collect a variety of data types, including but not limited to: land use and land cover data, crop type data, soil type data, and elevation data.

13. What kind of information can be obtained from radar imaging?

Radar imaging can be used to obtain a variety of information, including but not limited to: topographical features, land cover type, and even some information about the composition of the ground.

14. Can you explain what lidar imaging is?

Lidar imaging is a remote sensing technology that uses laser pulses to create a three-dimensional image of an object or landscape. Lidar stands for Light Detection and Ranging, and it can be used to measure the distance to, and shape of, objects on the ground from an aircraft or satellite.

15. What is ASTER and what types of datasets does it provide?

ASTER is a remote sensing satellite operated by NASA and JAXA. ASTER provides high resolution imagery for a variety of applications including land cover mapping, geologic mapping, and disaster response.

16. What are some advantages of using IKONOS over other remote sensing solutions?

IKONOS offers a number of advantages over other remote sensing solutions, including its high spatial resolution, its multispectral capabilities, and its rapid image acquisition. IKONOS is also one of the only remote sensing solutions that can be used for both day and night operations, making it a versatile tool for a variety of applications.

17. What are some best practices for working with remotely sensed data?

There are a few best practices to keep in mind when working with remotely sensed data:

– Make sure to carefully calibrate and validate your data before using it for any analysis.
– Use appropriate software tools to process and visualize your data.
– Be aware of the limitations of your data, such as its spatial resolution and coverage.

18. What are some challenges related to working with remotely sensed data?

One challenge related to working with remotely sensed data is that the data can be very large and unwieldy. Another challenge is that the data can be difficult to interpret, since it is often taken from a very different perspective than what we are used to seeing.

19. In your opinion, what are some ways that remote sensing could help us better understand climate change?

There are a few ways that remote sensing could help us better understand climate change. First, remote sensing can help us track changes in the Earth’s surface over time. This can be helpful in understanding how the climate is changing and how that is affecting different areas of the world. Additionally, remote sensing can help us to understand the Earth’s atmosphere and how it is changing. This is important in understanding the greenhouse effect and how it is impacting the Earth’s climate. Finally, remote sensing can help us to monitor the Earth’s oceans and how they are being affected by climate change. This is important in understanding the role that the oceans play in the global climate.

20. Can you name a few popular tools for analyzing remotely sensed data?

There are a few popular tools for analyzing remotely sensed data, including:

– ENVI
– Erdas Imagine
– PCI Geomatica
– QGIS