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= Satellite Map Theme based on the Sentinel 2 Mission =
{{ Moved To Community }}
 
== Introduction/Motivation ==
 
This page is about the process that allows to create a satellite map theme for Marble based on the Sentinel data.
 
== Sentinels Scientific Data Hub ==
 
=== Registering at the SciHub ===
 
Go to the [https://scihub.copernicus.eu/dhus/#/self-registration Registration website of the SciHub]  and enter your name, username, password, e-Mail and country. As a domain you can choose "Land" and "Research" for the usage.
 
Once you press the '''Register''' button you will receive an e-Mail which allows you to finalize your registration in the SciHub system by pressing the included link.
 
As an alternative to creating your own login you can use "guest/guest" as a username/password when logging in.
 
=== Looking for data ===
 
Go to the [https://scihub.copernicus.eu/dhus/#/home SciHub website] and press the '''Login Button''' to enter it.
On the right side you can press the layers button to choose between the Hybrid, Road (OpenStreetMap) and Satellite map (Blue Marble/LandSat) for orientation.
 
Now we are ready to query some actual Sentinel data. In order to limit our query to useful entries we recommend these adjustments: Press the menu button on the left of the query line edit to enter the Advanced Search
 
[[File:ss1.png]]
 
* Check '''Mission: Sentinel-2'''
* Enter '''[0 TO 10]''' in the cloud coverage Section
 
Press the menu button again. The button will turn into a filter icon. Then define the selected region by dragging a rectangle around the area of interest.
 
[[File:ss2.png]]
 
You can browse through the pages. The '''thumb nails''' give you an idea about the quality of the photographic images. You can press the "eye" button to get an enlarged version of the thumbnail and to get more information.
 
* images that contain an '''area that hasn't been included in the map theme''' yet
* images that ideally have '''no cloud cover'''
* images that were taken in '''bright light'''.
* images that includes a maximum amount of complete sub tiles (with a minimum of tilted cut off black portions). Eventually only those tiles which are complete (i.e. without clouds and black areas) will be of long-term value.
* images that '''contain land masses''' or at least '''islands''' or '''coastlines'''. We are not interested in Ocean pictures since we will add an artificial ocean later on.
* initially we should rather focus on '''populated areas''' in Europe.
* the chosen areas should ideally be '''adjacent''' to existing tiles that have been downloaded so that we get "growing" areas.
 
 
Once you've made a choice we suggest that you write down:
 
* the '''id''' of the entry (which you can retrieve by pressing the "eye" icon for the entry and copy the id from the title line.
* and the '''download url'''
 
in a text file. Good examples are:
 
id:    S2A_OPER_PRD_MSIL1C_PDMC_20160508T220612_R008_V20160508T104027_20160508T104027
url:  https://scihub.copernicus.eu/dhus/odata/v1/Products('4658007a-76a0-455c-bb9a-d9e789b5e1e3')/$value
 
id:    S2A_OPER_PRD_MSIL1C_PDMC_20160508T221741_R008_V20160508T104027_20160508T104027
url:  https://scihub.copernicus.eu/dhus/odata/v1/Products('0ded3149-d971-4524-ab80-536ffc1cbb55')/$value
 
Now click the download link to download the tile. The download will amount to 4-7GB on average. Even if the download gets aborted in the browser it should be possible to continue the download later on. Depending on the connection the download might take a few hours. At times the SciHub server has temporary maintenance down times.
 
Once the zip file is download '''unzip''' it in a directory of your choice. Make sure that your hard disc still has enough space left (approx. 10 GB).
 
''Note:'' There are also alternative sentinel data browsers available:
 
1. The [http://maps.mundialis.de/ Mundialis] browser offers a nice search query that also works on smart phones.
 
2. Once QGIS is installed you could also download further tiles using the SCP plugin, however this approach lacks the nice thumbnails for introspection:
 
* [https://www.youtube.com/watch?v=fVS2Ls2bUbk Search and Download Sentinel-2 Images Using the Semi-Automatic Classification Plugin ]
 
== Using QGIS to edit the Sentinel 2 data ==
 
=== QGIS installation ===
 
In order to process the data you need to install QGIS.
On Ubuntu/Debian you can do this e.g. by opening a terminal and type:
 
sudo apt-get update
 
Type in a terminal:
 
'''sudo apt-get install qgis'''
 
=== Installing the required plugins ===
 
Launch QGIS and enter the '''Plugins''' menu. There choose '''Manage and Install Plugins'''.
Select '''Not Installed''' and choose the following plugins for installation in the list:
 
* '''QTiles'''
 
Also we recommend the following tools:
 
* Semi-Automatic Classification Plugin
* OpenLayers Plugin
 
Once you installed the Semi-Automatic Classification Plugin please right-click on the toolbar and enable the SCP toolbar.
 
=== Using QGIS to create GeoTiffs for Sentinel-2 subtiles ===
 
The current image data is stored in jp2 files which cover one subtile each for a certain spectral band. For each subtile there are about 12 different spectral bands covered. The goal of this chapter is to merge these jp2 files in order to get realistic colors. The end result should be a smaller georeferenced RGB file with realistic colors.
 
 
Let's start:
 
Download the [[File:sentinel.zip]] file and extract it in your home directory. It contains two files: createvrts.py and sentinel-marble.qml. Add the executable flag to the createvrts.py file.
 
Enter the '''GRANULE''' directory inside the .SAFE directory of the unzipped Sentinel-2 data. Then execute the createvrts.py createvrts.py script from inside that directory. It should create a '''vrts directory''' inside the GRANULE directory. Inside this directory you should find several .vrt files.
 
Now launch QGIS. Press '''Ctrl-Shift-R''' (or '''Layer->Add Layer->Add Raster Layer'''). We'd like to load several .vrt files at once. However loading all would most likely require too much memory. So we have to load them in batches: Using the Ctrl-Key select the first six .vrt files inside the newly created vrts directory. Then press '''Open'''.
 
(In case QGIS crashes on opening the vrt it might be due to a corrupt jp2 file. In that case try to find out which jp2 is the culprit by trying to load the jp2 files into QGIS one by one via the Add Raster Layer feature. Once the corrupted jp2 is identified you can use the following workaround: copy it over by the jp2 with the closest band number. This will unfortunately result in a slightly different color shade).
 
Now we want to apply proper colorization and styling:  The styling is stored inside the sentinel-marble.qml file (short for QGIS markup language - so it's NOT a Qt Quick file).
 
* '''Right-click''' on the '''first''' (file) '''entry''' in the Layers panel.
* Press '''Properties'''.
* Press the '''Style button''' in the lower left corner
* Press '''Load Style''' and load the '''sentinel-marble-qml''' file.
 
 
[[File:style.jpg]]
 
 
* Press '''Apply'''. As a result the color of the tile should change to something more vivid.
* Right-click on the first (file) entry in the Layers panel again and choose '''Styles->Copy Style'''
* Then right click on all other (file) entries in the Layers panel and choose '''Styles->Paste Style''' for each entry.
 
 
As a temporary result you should see something like this:
 
 
[[File:sentinel6tiles.jpg]]
 
 
[[File:sentinel_closeup.jpg]]
 
 
Now we want to save the resulting virtual tiles into actual GeoTIFF files:
* Right-click on the first (file) entry in the Layers panel.
* Choose '''Rename'''. Then copy the file name using '''Ctrl-C''' and press '''Enter'''.
* Right-click on the first (file) entry in the Layers panel.
* Choose '''Save As'''
 
 
[[File:saveas.jpg]]
 
 
* As an '''Output mode''' in the dialog choose '''Rendered Image'''.
* Click  '''Browse''' Button in the '''Save As field''', navigate to the tif directory inside the GRANULE directory. Press '''Ctrl+V''' to paste the layer name.
* Enable the '''Create Options''' checkbox, choose '''JPEG Compression''' as a profile. Change '''JPEG_QUALITY''' to '''85'''.
* Press '''Ok''' and fetch a cup of coffee while the progressbar goes up to 100%.
* ''Repeat this procedure for all other entries.''
 
 
The resulting GeoTIFF files will contain the rendered image in RGB representation without storing each band. This is lighter on memory and is better suited for tile processing. As the GeoTIFF files amount to about '''75 MB''' they are also better suited for long-term storage and data exchange than the original jp2 files.  (if you forgot to enable the compression profile you can also compress the files using: gdal_translate  -co COMPRESS=JPEG -co JPEG_QUALITY=85 inputfile.tif outputfile.tif )
 
It's important that you keep these GeoTIFF files (e.g. on a USB disk) to allow for recreating the slippy map tiles later on.
 
Once you are done with creating the first batch of GeoTiffs quit QGIS and restart it.
Then repeat the steps in this chapter for the other vrt files until there is a GeoTIFF file for every vrt file.
 
Later on once you've downloaded more adjacent datasets from the Sentinel SciHub you can combine the GeoTIFF files:
 
 
[[File:twodatasets.jpg]]
 
=== Tile Creation ===
Press Ctrl-Shift-R (or Layer->Add Layer->Add Raster Layer) and load all GeoTIFFs that you've created so far.
 
'''IMPORTANT: Before you start creating the tileset check the properties dialog: Make sure that all GeoTiff subtiles have "Bicubic" and "Average" enabled.''' This needs to be re-enabled after GeoTIFF generation!  Otherwise your tiles will be rendered using the low-quality nearest neighbor resampling approach.
 
[[File:sentinel_netherlands.jpg]]
 
With the new sentinel layer loaded and proper band sets in place we can now start to create our own tiles:
 
Press '''Plugins -> QTiles -> QTiles'''  then
 
* In the ''Output'' section choose '''Directory''' and browse to your directory of choice where the tiles should be stored
* Enter '''sentinel2''' as a Tileset name
* In the ''Extent'' section choose '''Layer Extent'''
* In the ''Zoom'' section choose '''14''' as a maximum zoom level
* Choose '''JPG''' as a file format
* Choose '''85%''' as the Compression level
* In the ''Parameters'' section enable '''Make lines appear less jagged''' and '''Render tiles outside of layers extents (within combined extent)'''.
 
 
[[File:qtiles.jpg]]
 
''Questions: ''
 
''1. Are there any other alternatives to using QTiles? Any better QGIS plugins than this?''
 
=== Tileset postprocessing ===
The color range in the sentinel-marble.qml is chosen to allow for wide post processing. The idea is that a complete tile set can be easily batch-processed using image-magick or opencv. This could be done in the future to:
 
* change the color gamma value / saturation
* increase the green tint of land masses at lower zoom levels
* reduce areas of overexposure
 
Currently we are using this command inside the sentinel2 directory to convert the whole dataset (this requires the graphicsmagick and parallel package to be installed):
 
<source lang="bash">
find -type f -name "*.jpg" | parallel --progress convert  -type TrueColor -gamma 1.33 -modulate 100,110,100 {} {.}.jpg
</source>
 
== Compiling Marble with support for the Sentinel 2 data ==
 
Technically marble's current source code from the master development branch has experimental support for the Sentinel 2 Satellite Map theme built-in already.
In order to enable the vector map theme you need to pass the cmake config option
 
-DEXPERIMENTAL_SENTINEL_MAP=ON
 
So in order to compile Marble with vector tile support just compile it as described here:
 
https://marble.kde.org/sources.php
 
and just add the config option above, e.g.
 
<source lang="bash">
cmake  -DEXPERIMENTAL_SENTINEL_MAP=ON ~/marble/sources
</source>
 
== Deployment on the server ==
 
For deploying the RGBA-GeoTIF-files and the tiles on the server you can mostly follow the access instructions at:
 
[https://techbase.kde.org/Marble/ServerUpload Upload to our KDE server]
 
=== Tiles ===
 
For the actual upload of the tiles you can use rsync. From the current local sentinel2 folder you could e.g. call:
 
<source lang="bash">
rsync -av --progress 13 14 [email protected]:/srv/maps/earth/sentinel2
</source>
 
to upload level and 13, 14.
 
=== RGBA GeoTiff ===
 
The RGBA-GeoTIF files are stored inside the '''sentinel2 directory''' of the marble user on the KDE server. Before you upload them make sure that the tif files are stored inside a directory named "tif" that is stored in the following directory hierarchy:
 
S2A_OPER_PRD_MSIL1C_PDMC_20160315T113406_R065_V20150826T102655_20150826T102655.SAFE/GRANULE/tif
 
Then for uploading you can do:
 
<source lang="bash">
rsync -av --progress S2A_OPER_PRD_MSIL1C_PDMC_20160315T113406_R065_V20150826T102655_20150826T102655.SAFE [email protected]:~/sentinel2
</source>

Latest revision as of 04:55, 26 October 2016

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