This is how to explore Hyperion data with Google Earth Engine and to handle it with QGIS package. It would be helpful for data visualization and data analysis.

Sometime, the gdal_merge.py function doesn't work out in python 3. Google Earth Engine (GEE) also provides EO1 Hyperion Hyperspectral imager which HYPERION hyperspectral imaging data with 242 bands Geotiff format file, through Earth Engine Data Catalog [1].

In this YouTube video, I will guide how to search and select Hyperion image with JavaScript, and then how to manipulate it with QGIS 3.14 package [2]. Just make sure that some bands of Hyperion data on GEE are not calibrated and not included into EE assets [3] [4].

A false colour composite Hyperion data also shows digital number (DN) of cloud cover is somewhat higher than snow or ice cover area in the western part of Greenland like what a previous literature showed in MERIS derived measurements on the ENVISAT satellite [5].

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#GoogleEarthEngine #Hyperionhyperspectral #hyperspectralimaging #QGIS3
#QGISpackage #Hyperiondata #EO1HyperionHyperspectral #datavisualization #dataanalysis
#cloudcoverandsnow #cloudcoverandice #JavaScript #earthobservation

➤ Reference
[1] https://developers.google.com/earthe...
[2] https://qgis.org/en/site/forusers/vis...
[3] https://www.usgs.gov/centers/eros/sci...
[4] https://www.usgs.gov/centers/eros/sci...
[5] Schlundt, C., Kokhanovsky, A. A., von HoyningenHuene, W., Dinter, T., Istomina, L., and Burrows, J. P.: Synergetic cloud fraction determination for SCIAMACHY using MERIS, Atmos. Meas. Tech., 4, 319–337, https://doi.org/10.5194/amt43192011, 2011.

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