zpl99 / STSR-Seg

https://essd.copernicus.org/articles/15/3547/2023/essd-15-3547-2023.html
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Inquiry on Alternative Datasets to Sentinel2 from GEE #1

Open XCZhou520 opened 7 months ago

XCZhou520 commented 7 months ago

I hope this email finds you well. First and foremost, I would like to express my sincere gratitude for the outstanding work you have been doing. Your expertise and dedication are truly commendable.

Recently, I have encountered some difficulties while attempting to download Sentinel2 data from the Google Earth Engine (GEE). This has led me to consider alternative solutions. In this regard, I am reaching out to inquire if there are other datasets available that could serve as a substitute for the Sentinel2 dataset, particularly those with lower resolution.

If such alternatives exist, I am keen to understand the following aspects:

Are there any specific resolution limitations or requirements for these alternative datasets? How should these datasets be organized for optimal use? Your guidance on this matter could be immensely valuable, especially in facilitating the application of this method in various contexts. Any insights or recommendations you could provide would be greatly appreciated.

Thank you for your time and consideration. I look forward to your response.

Best regards,

zpl99 commented 7 months ago

I hope this email finds you well. First and foremost, I would like to express my sincere gratitude for the outstanding work you have been doing. Your expertise and dedication are truly commendable.

Recently, I have encountered some difficulties while attempting to download Sentinel2 data from the Google Earth Engine (GEE). This has led me to consider alternative solutions. In this regard, I am reaching out to inquire if there are other datasets available that could serve as a substitute for the Sentinel2 dataset, particularly those with lower resolution.

If such alternatives exist, I am keen to understand the following aspects:

Are there any specific resolution limitations or requirements for these alternative datasets? How should these datasets be organized for optimal use? Your guidance on this matter could be immensely valuable, especially in facilitating the application of this method in various contexts. Any insights or recommendations you could provide would be greatly appreciated.

Thank you for your time and consideration. I look forward to your response.

Best regards,

Hello.

First of all, can you tell me what difficulties you encountered in Sentinel data? Perhaps I can help you solve it.

As for the alternative datasets, maybe you can use Landsat data. It can also be accessed from GEE, but at a lower resolution of around 30m. The resolution of the Landsat dataset is lower than that of Sentinel, so for smaller features, especially buildings, the results are not ideal even with super-resolution technology. However, Landsat has a longer observation history, so it is more suitable for time series analysis.

For optimal use, the first step is to remove the cloud, which is usually done using QA_PIXEL in the landsat data. If you want to do time analysis, you can use the CCDC algorithm, which is implemented directly on GEE. If you use our method, you can configure it to the corresponding path but note that the size of each patch should be 64 * 64.

Just ask me if you have any questions.