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Remote Sensing
Thursday, 16 November 2017
J.Mwaura
HANDS-ON TRAINING
• Sentinel-2 - High Resolution satellite
• Sentinel-2A – 2015 - data from November
• Sentinel-2B – 2017
• MultiSpectral optical Imagery (MSI) for
the Europe's Global Monitoring for Environment
and Security (GMES) programme
& select the
– https://scihub.copernicus.eu/dhus/#/home
• Amazon Web Service
– http://sentinel-pds.s3-website.eu-central-
1.amazonaws.com/
• USGS Explorer website
– http://earthexplorer.usgs.gov/
• Community Image Data portal (CID)
– https://cidportal.jrc.ec.europa.eu/forobs/sentinel.py
• Sentinel-2 L2A images (
cloud mask)
1. Go to the ESA SciHub
2. Search for an image
3. Insert search criteria
: In what date are you
interested? L2A
: tick the Sentinel-2 Mission.
: We want L2A data So
select . Specify a cloud cover:
Percentage range. [0 - 100] (in % of cloud cover).
: Thats it!
3. Insert search criteria
4.
• AWS Sentinel 2 portal:
•
Browse through data, in the menu to the left,
• choose region,
• time span
• Admissible cloud cover
• Click a desired cell - details of the image
• Click link, -to download the images
Note that the tiles
are identified as 100
km2 tile on a so
called MGRS system
• Access via browser
• Log monitor -download the Sentinel 2 data and check
the status and history of your queries
• In Filters, in the menu to the left, we can choose time
span and admissible cloud cover
• Click on a grid cell, - pop-up with image details.
• Click on the cart button to add this image to your cart
of selected images.
• Two possibilities to get the data to your computer:
1) Create Zip: Download the Sentinel 2 file “as it is” in a
zip format;
2) Process: apply a pre-processing – data reduction e.g
select bands, clip to an AoI, cast pixel data from float to
byte, resample the pixel size to a coarser resolution
Sentinel 2
• Datatake
– the continuous acquisition of an image from one Sentinel-2
satellite in a given MSI imaging mode.
– maximum length of approximately 15,000 km
• Datastrip
– a portion of image downlinked during a pass to a given
station
– maximum length of approximately 5,000 km
• A granule is the minimum indivisible partition of a product
(containing all possible spectral bands).
– For Level-0C, Level-1A and Level-1B, granules are sub-
images of a detector with a given number of lines along
track.
– A granule covers approximately 25 km across track and
23 km along track.
– For Level-1C, the granules, also called tiles, are 100 km2
ortho-images in UTM/WGS84 projection.
• bands 2, 3, 4 and 8 => 10 meters resolution
bands 5,6, 7, 8a, 11 and 12 => 20m resolution
bands 1, 9 and 10 => 60m resolution
Sentinel 2
• Pre – processing
– Resampling,
• ensures that images of each band have the same
resolution and number of pixels
– Atmospheric Correction and
• Atmospheric/Topographic Correction
– Subset selection
• re-choosing specific areas of interests
• Classification
• Index-based classification – NDVI, NDWI e.t.c
Thanks….

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Sentinel 2

  • 1. Remote Sensing Thursday, 16 November 2017 J.Mwaura HANDS-ON TRAINING
  • 2. • Sentinel-2 - High Resolution satellite • Sentinel-2A – 2015 - data from November • Sentinel-2B – 2017 • MultiSpectral optical Imagery (MSI) for the Europe's Global Monitoring for Environment and Security (GMES) programme
  • 3. & select the – https://scihub.copernicus.eu/dhus/#/home • Amazon Web Service – http://sentinel-pds.s3-website.eu-central- 1.amazonaws.com/ • USGS Explorer website – http://earthexplorer.usgs.gov/ • Community Image Data portal (CID) – https://cidportal.jrc.ec.europa.eu/forobs/sentinel.py
  • 4. • Sentinel-2 L2A images ( cloud mask) 1. Go to the ESA SciHub
  • 5. 2. Search for an image
  • 6. 3. Insert search criteria : In what date are you interested? L2A : tick the Sentinel-2 Mission. : We want L2A data So select . Specify a cloud cover: Percentage range. [0 - 100] (in % of cloud cover). : Thats it!
  • 7. 3. Insert search criteria 4.
  • 8. • AWS Sentinel 2 portal: •
  • 9. Browse through data, in the menu to the left, • choose region, • time span • Admissible cloud cover
  • 10. • Click a desired cell - details of the image
  • 11. • Click link, -to download the images Note that the tiles are identified as 100 km2 tile on a so called MGRS system
  • 12. • Access via browser
  • 13. • Log monitor -download the Sentinel 2 data and check the status and history of your queries
  • 14. • In Filters, in the menu to the left, we can choose time span and admissible cloud cover • Click on a grid cell, - pop-up with image details. • Click on the cart button to add this image to your cart of selected images. • Two possibilities to get the data to your computer: 1) Create Zip: Download the Sentinel 2 file “as it is” in a zip format; 2) Process: apply a pre-processing – data reduction e.g select bands, clip to an AoI, cast pixel data from float to byte, resample the pixel size to a coarser resolution
  • 16. • Datatake – the continuous acquisition of an image from one Sentinel-2 satellite in a given MSI imaging mode. – maximum length of approximately 15,000 km • Datastrip – a portion of image downlinked during a pass to a given station – maximum length of approximately 5,000 km
  • 17. • A granule is the minimum indivisible partition of a product (containing all possible spectral bands). – For Level-0C, Level-1A and Level-1B, granules are sub- images of a detector with a given number of lines along track. – A granule covers approximately 25 km across track and 23 km along track. – For Level-1C, the granules, also called tiles, are 100 km2 ortho-images in UTM/WGS84 projection.
  • 18. • bands 2, 3, 4 and 8 => 10 meters resolution bands 5,6, 7, 8a, 11 and 12 => 20m resolution bands 1, 9 and 10 => 60m resolution
  • 20. • Pre – processing – Resampling, • ensures that images of each band have the same resolution and number of pixels – Atmospheric Correction and • Atmospheric/Topographic Correction – Subset selection • re-choosing specific areas of interests • Classification • Index-based classification – NDVI, NDWI e.t.c