How do you use atmospheric correction in Google Earth Engine?

How do you use atmospheric correction in Google Earth Engine?

Sentinel 2 Atmospheric Correction in Google Earth Engine

  1. Import modules. and initialize Earth Engine.
  2. time and place. Define the time and place that you are looking for.
  3. an image.
  4. metadata.
  5. atmospheric constituents.
  6. target altitude (km)
  7. Atmospheric Correction.
  8. Export to Asset.

What is sentinel2 dataset?

Sentinel-2 is a constellation of two Earth observation satellites, developed under the direction of the European Space Agency, as part of the European Commission’s ambitious Copernicus Earth observation program.

How do I download data from the Earth Engine?

To download a KML file that contains a link to your data, click the more_vert in Google Earth and select ‘Export as KML file’.

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!

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 apply atmospheric correction in Google Earth Engine?

I want to apply atmospheric correction on Sentinel-2 imagery in Google Earth Engine (GEE). I saw the Sammurphy code which is written in Python and unfortunately it did not work for me. I tried the dark pixel subtraction method using the code (Java) below but it results in a total dark image over my region of interest.

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.