Remote sensing technologies are changing the way we see our world. In India, the NRSC is responsible for remote sensing satellite data acquisition. Remote sensing refers to advanced surveying and data analysis methodology.
It relies on airborne sensors to record crucial structural and environmental information more precisely. With remote sensing, it becomes easy to measure and identify the properties of particular objects without direct contact.
Nowadays, it is common to witness the integration of remote sensing technology with machine learning and mapping software. With this integration, it becomes easier to convert raw image data into easy-to-understand 3D maps.
This integration also provides experts important insights into altering conditions over vast spatial distances. For engineers are researchers, remote sensing is a valuable toolset. This is because it decreases manual work and facilitates the collection of data in dangerous environments. With these things in mind, let’s take a glance at the essential aspects of remote sensing.
Close Association between Astronomy and Space Sciences and Sensing Remote
Much like other emerging technological platforms, remote sensing has its roots in the nascent days of the space age. In the 1950s and the 1970s, space researchers launched dozens of remote sensing satellites. The primary objective of this launch is to collect data from the electromagnetic spectrum.
The main aim of these satellites was to track weather patterns and send images of enemy bases. With the launch of remote sensing satellites, it became easier to get incredible views of the planet. It also became easier to collect vast amounts of data on infrastructure and landscape.
What are the Components of Remote Sensing?
The field of sensing remote is witnessing a more remarkable development with the evolution of science and technology in India. The primary source of remote sensing data is electromagnetic radiation. Here are the components of remote sensing to be aware of.
The platform is one of the most critical components in a remote sensing system. It refers to the carrier of the remote sensing sensors. Usually, there are three primary remote sensing platforms. They are ground-level platforms, aerial platforms, and space-borne platforms.
The ground platform usually comprises radars and towers. The aerial platform contains low altitude and high altitude aircraft. The space-borne platforms include space shuttles and satellites.
Sensors are the brain of the remote sensing system. Sensors receive electromagnetic radiations and convert these radiations into an easily recordable signal.
These signals are either in the form of numerical data or an image. With technology innovation in India, there has been an increase in the manufacturing of sophisticated sensors.
Elements Present in a Remote Sensing System
Here are the elements present in a NRSC.
- The atmosphere and the Radiation
- Sensor records the energy
- Transmission, reception, along with processing
- Interference and subsequent analysis
- Application of the recorded data
The Types of Remote Sensing
There are two types of remote sensing for physical sciences. Here is the list of them.
An active sensor refers to the phenomenon where it embodies itself within the illumination source. Active sensors emit their energy to scan objects. RADAR is the best example of an active sensor. It typically measures the time delay between discharge and reappearance.
As the name suggests, passive sensors accumulate energy released. One of the most common examples is the reflection of sunlight. Examples include radiometers, infrared, etc. Passive sensors are popular as they provide high-quality satellite images. When the context is about the technical observation of celestial bodies, passive sensors are ideal.
Applications of Remote Sensing
Satellites play an integral role in the development of new technologies. From world mapping to GPS, satellites are making our lives easier. The Department of Space & ISRO is responsible for analysing data obtained from remote sensing. Here are some of the prominent application areas of remote sensing.
- Gathering intelligence for defence
AI is allowing analysts to convert raw data collected from remote sensing to interactive figures. In the future, we would witness the rapid evolution of remote sensing to make human lives more comfortable.