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This article shows you how to deal with Sentinel-2 data in ESA SNAP, the content is concise and easy to understand, it can definitely brighten your eyes. I hope you can get something through the detailed introduction of this article.

The Super Resolution (Super Resolution) expansion module of ESA SNAP can reconstruct the 20m and 60m bands of Sentinel-2 data by 10m. The effects of several regions are shown below:

Enshi, Hubei

The B12B11B5 combination of 20200803 S2A_MSIL2A data after super-score reconstruction shows:

The following is a comparison of the original data B4 B3B2 10-meter band combination display and B12 B11 B5 20-meter band combination display on the 1VR 20000 scale:

Comparing the images, we can see that the data of 20 meters is a little more blurred than that of 10 meters.

The following is a comparison between the 10m band combination display of the original data B4B3B2 and the 10m band combination display after B12B11B5 super-division processing on the scale of 1VR 20000:

Comparing the images, we can see that the obvious details of the 10-meter data have been improved after the super-score processing.

The following is a comparison between the original data B12 B11 B5 original 20 m band combination display and the 10 m band combination display after B12 B11 B5 hyper-division processing on the scale of 1VR 20000:

Needless to say about the effect.

Okinawa, Japan:

The data is the S2A_MSIL2A data of 20200829. The effect is shown below:

2.1 Oil storage tanks:

From the high-definition image, you can see that there is a photovoltaic power station in the south of the oil storage tank:

The following is a comparison of the original data B4 B3B2 10-meter band combination display and B12 B11 B5 20-meter band combination display on the 1VR 15000 scale:

Comparing the images, we can see that the data of 20 meters is blurred than that of 10 meters, especially the texture of the solar panels in the south is much more blurred than that of the 10 meters band.

The following is a comparison between the 10m band combination display of the original data B4B3B2 and the 10m band combination display after B12B11B5 hyper-division processing on the scale of 1VR 15000:

Compared with the image, we can see that the detail of the 10-meter data obtained from the 20-meter data has been significantly improved, which is comparable to the texture of the original 10-meter band.

The following is a comparison between the original data B12 B11 B5 original 20 m band combination display and the 10 m band combination display after B12 B11 B5 hyper-division processing on the scale of 1VR 15000:

In particular, the texture of the southern solar panel is much higher than that of the original 20-meter data.

2.2 ships:

USA's "America" class # amphibious # attack # strike # ship #: no more words, look at the picture

2.3 Islands:

Super separation processing is a harmful process to spectral information. Here are the spectral curves before and after processing.

Appendix:

Installation process:

First download the extension tool:

Install according to the instructions on the official website, and run after installation:

Data after successful operation:

This tool is very time-consuming, this article is first cut, about the range of 20KM multiplied by 20KM, run for half an hour to get the result: the machine is 16G memory + solid state

The above is how the hypermodule processes Sentinel-2 data in ESA SNAP. Have you learned the knowledge or skills? If you want to learn more skills or enrich your knowledge reserve, you are welcome to follow the industry information channel.

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