RemotePixel Viewer

A simple and fast Landsat-8, Sentinel-2 and CBERS-4 data viewer powered by AWS Lambda

HowTo

  • Click on the blue tile of your choice
  • Select the image you want to display on bottom list
  • Change the band combination and the histogram cut on the option pane (top left)

Map Tiles

Tile served are TOA (Top Of Atmosphere) corrected and rescaled to 0->255 rgb values. Each tile is a direct response of ONE AWS Lambda function.

Landsat True Color RGB (4,3,2) is panshaperpenned and serverd at 15m resolution. Sentinel-2 is served at 10m resolution.

Info

Landsat/Sentinel/CBERS search results is powered by RemotePixel Satellite API.

Images previews are from Landsat, Sentinel and CBERS AWS Public Dataset.

This project is powered by Mapbox-GL API and the awesome vector tile technology develloped by Mapbox.

Want more info about AWS Lambda for raster tile serving, continue reading: Blog post on Mapbox.com

Public dataset on AWS

Landsat-8 data available on AWS are in Level 1T:

Standard Terrain Correction (Level 1T) - provides systematic radiometric and geometric accuracy by incorporating ground control points while employing a Digital Elevation Model (DEM) for topographic accuracy. Geodetic accuracy of the product depends on the accuracy of the ground control points and the resolution of the DEM used: Ground control points used for Level 1T correction are derived from the GLS2000 data set. DEM sources include SRTM, NED, CDED, DTED, GTOPO 30, and GIMP.

Info: http://landsat.usgs.gov/

Sentinel-2 data available on AWS are in Level 1C:

Level-1C processing includes radiometric and geometric corrections including ortho-rectification and spatial registration on a global reference system with sub-pixel accuracy. Level-1C processing is broken down into the following steps: - Tiles association: selection of pre-defined tiles intersecting the footprint of the required image. - Resampling grid computation: enabling linking of the native geometry image to the target geometry image (ortho-rectified). - Resampling of each spectral band in the geometry of the ortho-image using the resampling grids and an interpolation filter. Calculation of the TOA reflectances also occurs in this step. - Masks computation: cloud and land/water masks are generated. - Imagery compression of the resultant Level-1C imagery via the JPEG2000 algorithm and a GML geographic imagery-encoded header.

Info: https://sentinel.esa.int

Reflectance, often between 0 and 1, is converted into integer values, in order to preserve the dynamic range of the data by applying a fixed coefficient (1000 by default).

Info: https://sentinel.esa.int

CBERS-4:

DEMO, more info soon.

Create your Own

https://github.com/mapbox/landsat-tiler

https://github.com/mapbox/sentinel-tiler

https://github.com/mapbox/cbers-tiler

https://github.com/remotepixel/viewer.remotepixel.ca

Contact

Questions or comments to contact@remotepixel.ca

Thanks

Version: 2.0
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