Where can I find the Sentinel-2 dataset?

Where can I find the Sentinel-2 dataset?

To access this dataset in Earth Engine, please sign up for Earth Engine then return to this page. Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas.

How to calculate ndwi from Sentinel 2 image collection?

– Geographic Information Systems Stack Exchange Google Earth Engine code for calculating NDWI from sentinel 2 image collection?

What is the EE asset ID for Sentinel-2?

Each Sentinel-2 product (zip archive) may contain multiple granules. Each granule becomes a separate Earth Engine asset. EE asset ids for Sentinel-2 assets have the following format: COPERNICUS/S2/20151128T002653_20151128T102149_T56MNN.

How many QA bands are there in Sentinel-2?

The Sentinel-2 data contain 13 UINT16 spectral bands representing TOA reflectance scaled by 10000. See the Sentinel-2 User Handbook for details. In addition, three QA bands are present where one (QA60) is a bitmask band with cloud mask information. For more details, see the full explanation of how cloud masks are computed.

How to extract water bodies from satellite images?

Extracting water bodies from satellite images with a pixel-based method or indexes cannot eliminate other objects that have a low albedo, such as shadows and built-up areas. Since their spectral differences cannot be separated, in this paper a method that combines a pixel-

Can a Google Earth Engine be used for aquaculture?

Google Earth Engine can automatically and efficiently monitor changes in aquaculture ponds in a large area. Traditional extraction methods are not suitable for automated extraction of aquaculture ponds in complex environments.

What are the spectral bands of Sentinel-2?

Sentinel-2 (S2) is a wide-swath, high-resolution, multispectral imaging mission with a global 5-day revisit frequency. The S2 Multispectral Instrument (MSI) samples 13 spectral bands: visible and NIR at 10 meters, red edge and SWIR at 20 meters, and atmospheric bands at 60 meters spatial resolution.

How to remove clouds from Sentinel-2 radiometric resolution?

Clouds can be mostly removed by using COPERNICUS/S2_CLOUD_PROBABILITY . See this tutorial explaining how to apply the cloud mask. For more details on Sentinel-2 radiometric resolution, see this page.

What is the purpose of the Sentinel 2 mission?

Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas. The Sentinel-2 L2 data are downloaded from scihub. They were computed by running sen2cor.

Is there an atmospheric correction for Sentinel-2 imagery?

The atmospheric correction for this data set is performed by sen2cor. Note the time period the data are available for as Level-2A data is not available for the entire data archive. Thanks for contributing an answer to Stack Overflow!

Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas.

How to create Sentinel-2 NDVI time series chart?

Creating Sentinel-2 NDVI time series chart in Google Earth Engine? – Geographic Information Systems Stack Exchange Creating Sentinel-2 NDVI time series chart in Google Earth Engine? I am exploring Sentinel-2 time-series NDVI with Google Earth Engine. In another post ( here) I calculated and exported NDVI values from Sentinel-2.

How many spectral bands are there in Sentinel-2?

The assets contain 12 UINT16 spectral bands representing SR scaled by 10000 (unlike in L1 data, there is no B10). There are also several more L2-specific bands (see band list for details). See the Sentinel-2 User Handbook for details. In addition, three QA bands are present where one (QA60) is a bitmask band with cloud mask information.

The Sentinel-2 mission collects high-resolution multispectral imagery useful for a broad range of applications, including monitoring of vegetation, soil and water cover, land cover change, as well as humanitarian and disaster risk.