---
title: "Satellite maps | Guides | Map tiling hosting | Data hosting"
description: "Guide to satellite imagery datasets and creating custom satellite maps."
---

> For AI agents: a documentation index is available at [/llms.txt](https://docs.maptiler.com/llms.txt). Markdown versions of all pages are available by appending .md to any URL.

# Satellite maps

In this article we explain what satellite data is, its benefits, and how maps from these data are created. We also show you which satellite data we host, and how you can use these different layers in your project.

## About satellite imagery

Sometimes even with the most accurate maps you can’t describe/capture the level of detail in our real world or maybe you want to do some specific analysis of a particular area.

All of this is becoming available thanks to satellite imagery.

Today there are plenty of satellites that are orbiting the globe, that’s the main reason why the availability of satellite data is increasing. 

Each of these satellites captures the globe in different _spatial, temporal, and spectral resolutions;_ some of them, like **MODIS,** capture the globe in spatial resolution of _100 m/px_, others like **Sentinel-2**  to a couple of meters (_10 m/px_)  or even centimeters _41 cm/px_ from **DigitalGlobe’s** **GeoEye-1**.

![](./file_0ea4807e17.webp)

In the context of temporal resolution, there are satellites that **acquire the same spot under the same angle in a couple of days or even days**.

All of these satellites, capture images in a different wavelength, which brings different information about the surveyed area, all the acquired information from specific wavelengths are stored in separate bands.

For visual purposes, like creating beautiful satellite maps, normally bands from the visible spectrum would be used like the **blue, green, and red bands**.

![](./file_6385b5e7db.webp)

## Available datasets

The creation of a beautiful satellite map, it’s a bit of alchemy, it is necessary to process a large amount of data with a decent dose of algorithmic art. This is caused by **huge variability in the quality** of satellite images, e.g. there are parts in the world where it is almost impossible to find satellite images without any artifacts in them like clouds, snow, or shadows.

And that’s why we in **[MapTiler](https://www.maptiler.com/satellite/)** do this tedious work for you and bring the best satellite maps to you in our **[MapTiler](https://www.maptiler.com/maps/#hybrid//vector/3/-84.98/44.16)** or thanks to our **[MapTiler Server](https://www.maptiler.com/server/)** you can host your satellite map on your own infrastructure by yourself. On our **[MapTiler](https://www.maptiler.com/data/)** page, you can find plenty of data sources, not just satellite data but also orthophoto, different maps, and so on.

## MapTiler satellite maps

Are created from data that comes from satellite **Sentinel-2** with spatial resolution **_10 m/px,_** for coverage see the official [Revisit and Coverage](https://sentinel.esa.int/web/sentinel/user-guides/sentinel-2-msi/revisit-coverage) of **Sentinel-2** mission from the **European Space Agency (ESA)_._** In our **Cloud,** you can find in overall **4 satellite maps**. Our main **[MapTiler](https://cloud.maptiler.com/tiles/satellite/)****[Satellite](https://cloud.maptiler.com/tiles/satellite/)** map is created from **Satellite Mediumres 2020** (zoom level 0-13) and aerial data (zoom level 14-19).

Then we have separate satellite map layers from different years **[Mediumres 2016](https://cloud.maptiler.com/tiles/satellite-mediumres/)** (zoom level 0-13)**, [Mediuemres 2018](https://cloud.maptiler.com/tiles/satellite-mediumres-2018/)** (zoom level 0-13)**,** and the latest one from **Mediumres 2020** (zoom level 0-13)**.** The quality of the maps goes in the same order, 2016 with the least quality to 2020 with the most detailed and highest map quality.

| **Product** | **Resolution** | **Accuisition years** | **Zoom level** | **Type** | **Link to product** |
| --- | --- | --- | --- | --- | --- |
| Satellite | 10 m/px - 20 cm/px | 2020 | 0-19 | raster | [https://cloud.maptiler.com/tiles/satellite/](https://cloud.maptiler.com/tiles/satellite/) |
| Satellite Mediumres 2021 | 10 m/px | 2020 and 2021 | 0-13 | raster | to be released |
| Satellite Mediumres 2018 | 10 m/px | 2017 and 2018 | 0-13 | raste | [https://cloud.maptiler.com/tiles/satellite-mediumres-2018/](https://cloud.maptiler.com/tiles/satellite-mediumres-2018/) |
| Satellite Mediumres 2016 | 10 m/px | 2016 | 0-13 | raster | [https://cloud.maptiler.com/tiles/satellite-mediumres/](https://cloud.maptiler.com/tiles/satellite-mediumres/) |

### Satellite Medium res 2016

It has some qualitative issues (visible clouds) mainly in **America**, **Asia,** and areas around the **equator**. This was caused by the lower temporal resolution of **Sentinel-2** around these areas until the year 2017 when **Sentinel-2B** was launched, which then increased the total revisit time and brought the higher quality of improved **Satellite Mediures 2018**. Both **Satellite Mediumres 2016** and **Satellite Mediumres 2018** have visible strips almost in all locations. This is caused by different time periods from which the algorithm was selecting input files for the final map creation. But in the areas like **Europe, North Africa, Middle East,** and **Australia** **Satellite Mediumres 2016** is fairly looking.

![](./file_a68df4a85b.webp)

### Satellite Mediumres 2018

Thanks to the higher revisit time of twin satellites **Sentinel-2A** and **Sentinel-2B**, areas that did not contain clouds increased. Mountain ranges with snow cover look more real, they don’t contain that many clouds as in **Mediumres 2016.** Most of the coastlines and islands got significant improvement in quality. **Asia** and also **America** has fewer clouds on them, but strip visibility caused by different seasons is still significantly present. Finally, **improved color toning** brought a more realistic look to the satellite map. In **Mediumres 2018** you can spot a huge improvement in quality, but we think that it was still far from perfect.

![](./file_f5b7d59408.webp)

### Satellite Mediumres 2021

We improved the algorithm in a way that the artifacts like **clouds**, **snow**, and **shadows** are visible only on a fraction of areas compared to **Satellite Mediumres 2018**, also these areas are those with the least significance. We managed to **eliminate the strip visibilities** that were visible on both **Mediumres 2016** and **Mediumres 2018**, also with the better algorithmic approach of selecting the input files we brought to you a more greeny-looking satellite map. We have also added a new **NIR (B08) band** to the final product, for analytic purposes. Finally, with the new-looking color toning, you can enjoy an even more realistic feel of a satellite map.

![](./file_caf139ee2b.webp)

### New Mediumres 2021

Let’s look at some astonishing places on earth that you can find in our new **Mediumres 2020.**

![](./file_bd6ea2346f.webp)

![](./file_db1636b503.webp)

![](./file_a9df03b8f6.webp)

![](./file_59779cd4ff.webp)

![](./file_a1f2741a8b.webp)

![](./file_36d1b6538f.webp)

![](./file_b8021155e1.webp)

![](./file_af961551b9.webp)

![](./file_53748b8f3d.webp)

But there is so much more to see. Find out more at the [MapTiler page](https://www.maptiler.com/data/).

## Using MapTiler satellite maps

You can find our satellite map on our **[MapTiler](https://www.maptiler.com/maps/#hybrid//vector/3/-84.98/44.16)** as **[MapTiler Satellite](https://cloud.maptiler.com/tiles/satellite/)**, currently, we are using **[Mediumres 2018](https://cloud.maptiler.com/tiles/satellite-mediumres-2018/)** as the source dataset**,** but in a very short period, we would be switching it to our new **Mediumres 2021** satellite map. You can try it for **[free](https://www.maptiler.com/cloud/)**.

But if there is any reason why the cloud solution is not the right choice for you, we provide you our **[MapTiler Server](https://www.maptiler.com/server/)** solution, so you can host your **[datasets](https://www.maptiler.com/data/)** by yourself.

For more info about satellite maps don’t hesitate to visit our **[MapTiler Satellite](https://www.maptiler.com/satellite/)** page.

## Useful links

[MapTiler Satellite Imagery](https://cloud.maptiler.com/tiles/satellite/)  
[Satellite Mediumres 2018](https://cloud.maptiler.com/tiles/satellite-mediumres-2018/)  
[MapTiler data](https://www.maptiler.com/data/)