Whether you’re a businessman looking for land for contract farming or a geographer tracking the human footprints, satellite imagery is a boon. With trained AI at your disposal, you don’t need to step outside the house to get all the information. You get high-resolution satellite imagery of Australia to check the soil type or demographic expansion in a single click.
If you ever tried finding your house on Google Maps, you know how exciting it becomes looking at the world from above. Various options are available to get you low and medium-resolution imagery, but professional work requires higher quality.
Don’t stop reading yet if you don’t know what to look for in your images!
How Is Satellite Imagery Useful?
Satellite Imagery is the photos collected by satellites or aircraft to scan the planet and gain information about it. The imagery is a small, zoomed-in part of a land that you want the details about. You get the images when a satellite collects the electromagnetic radiation from the Earth’s surface through its sensors. (It feels like a geography or physics class, right?)
The trick behind capturing the kind of radiation is in the surfaces’ reaction to it. In short, a plain, smooth surface reflects all the radiation in a direction while the rough surfaces don’t.
What Should You Look for in Your Satellite Imagery?
You have decided to use the remote sensing images but can’t figure out the best ones?
Before you invest your time and mind in it, you need to clarify the outcome you want. As accurate as the Google Maps imagery looks, the exact resolution and quality aren’t practical if you plan to draw analysis.
So, let’s figure out what works the best for you!
Resolution
1. Spatial Resolution
Your spatial resolution is the number of dots in a pixel in satellite imagery. It measures the detailing in a picture. The higher the dots, the more satisfactory your high-quality satellite imagery quality. Say you want to take an exemplary image of the Gold Coast in Australia. A satellite image of 50 cm per pixel would be much better in quality than the one of 100cm per pixel.
2. Spectral Resolution
Spectral Resolution is the ability of a satellite sensor to define the wavelengths of the bands clearly. The more the spectral resolution, the higher the quality.
3. Radiometric Resoltuion
Radiometric Resolution is the sensitivity of a sensor in a remote satellite to detect the changes in the reflection of radiation. The higher the radiometric resolution, the quicker the ability to see the slightest disturbances in the surface’s reflection.
4. Temporal Resolution
Temporal Resolution is typically the frequency with which a satellite clicks the images. Your temporal resolution for a dinner meal would be the number of times you have clicked its photo. The more frequent you collect the photos, the easier it is to identify the changes.
Accuracy
The accuracy in satellite imagery is the distance between objects in actual geographic location and the image obtained. It’s challenging to capture the precise image unless your positioning device is highly efficient.
The remote sensing imagery is the best example of getting a map with the most precise details. To observe the Heard Island volcanic soil from afar, all you need is high-resolution satellite imagery in Australia. With the constant improvement in science and technology, the world is getting smaller and more accessible.