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To help you figure out which of these options can cover your needs, let’s look at all the pros and cons of each. But can you really get any useful information from Google Maps other than just a close view of the location at one (unknown) point of time? You don’t need to pay for fine resolution or download free images one by one from a satellite data base. There are free Google Maps and Bing Maps providing a high-resolution map of the entire world rather than a separate satellite image of a small area. Original ModifiedThere’s a third option when it comes to working with satellite image data: satellite maps. On the right is a 10m per pixel medium-resolution image from Sentinel-2 that provides a much coarser view, but ‒ just like any open source satellite data ‒ it’s available free of charge.
![4M Fine Free 4M Fine Free](https://gentlehome.com/wp-content/uploads/2018/04/image.png)
![4M Fine Free 4M Fine Free](https://i.redd.it/r0120riszxv61.jpg)
The left one is a 50cm high-resolution image from Pleiades satellite (Airbus) it allows to clearly see the buildings, small boats, narrow streets, and unfortunately, you have to pay for it. To illustrate the difference between various resolutions of satellite image data, look at these two satellite images of Venice. – High to very high resolution: 30cm ‒ 5m/pixel.The finest resolution as of now is 30cm provided by very high-resolution commercial satellites. What was considered high resolution back in the 80s ‒ for example, NASA satellite data from Landsat with its 60m per pixel ‒ has become low in today’s standards.
![4M Fine Free 4M Fine Free](https://i.ebayimg.com/images/g/hEIAAOSwhmlezSsf/s-l400.jpg)
This subdivision into low, medium and high is provisional, as imaging technology advances all the time.
![4M Fine Free 4M Fine Free](https://s3-eu-west-1.amazonaws.com/images.linnlive.com/0ae9e4427189064591c693f12a20f46b/28a51200-a225-4412-ab61-ab7d247517db.jpg)
It’s considered a medium-resolution image, which can cover an entire city area alone, but the level of detail isn’t fine enough to distinguish individual objects like houses or cars. Landsat data, for example, has a 30m resolution, meaning each pixel stands for a 30m x 30m area on the ground. A pixel is that smallest ‘dot’ that makes up an optical satellite image and basically determines how detailed a picture is. Spatial resolution refers to the size of one pixel on the ground. What Is Spatial Resolution Of Satellite Imagery Data? So you’ve decided to start using satellite data but have absolutely no idea what kind of image has the information you need? Our first tip is: figure out what spatial resolution is good for you.
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