Tutorial: Collect and process Aqua satellite data using Azure Orbital Ground Station (AOGS)

This article is a comprehensive walk-through showing how to use the Azure Orbital Ground Station (AOGS) to capture and process satellite imagery. It introduces the AOGS and its core concepts and shows how to schedule contacts. The article also steps through an example in which we collect and process NASA Aqua satellite data in an Azure virtual machine (VM) using NASA-provided tools.

Aqua is a polar-orbiting spacecraft launched by NASA in 2002. Data from all science instruments aboard Aqua is downlinked to the Earth using direct broadcast over the X-band in near real-time. More information about Aqua can be found on the Aqua Project Science website.

Using AOGS, we capture the Aqua broadcast when the satellite is within line of sight of a ground station by scheduling a contact. A contact is time reserved at a ground station to communicate with a satellite. During the contact, the ground station orients its antenna towards Aqua and captures the direct broadcast data. The captured data is sent to an Azure VM as a data stream and processed using the Real-Time Software Telemetry Processing System(RT-STPS) tool provided by the Direct Readout Laboratory(DRL) which generates a Level-0 product. This Level-0 product is processed further using DRL's International Planetary Observation Processing Package(IPOPP) tool to produce higher level products.

In this tutorial, we will follow these steps to collect and process Aqua data:

Optional setup steps for capturing the ground station telemetry are included the guide on receiving real-time telemetry from the ground stations.

Step 1: Use AOGS to schedule a contact and collect Aqua data

Execute steps listed in Tutorial: Downlink data from NASA's AQUA public satellite

The above tutorial provides a walkthrough for scheduling a contact with Aqua and collecting the direct broadcast data on an Azure VM.

Note

In the section Prepare a virtual machine (VM) to receive the downlinked AQUA data, use the following values:

  • Name: receiver-vm
  • Operating System: Linux (CentOS Linux 7 or higher)
  • Size: Standard_D8s_v5 or higher
  • IP Address: Ensure that the VM has at least one standard public IP address

At the end of this step, you should have the raw direct broadcast data saved as .bin files under the ~/aquadata folder on the receiver-vm.

Step 2: Install NASA DRL tools

Note

Due to potential resource contention, DRL recommends installing RT-STPS and IPOPP on separate machines. But for this tutorial, we install both tools on the receiver-vm because we don't run them at the same time. For production workloads, please follow sizing and isolation recommendations in the user guides available on the DRL website.

Increase OS disk size on the receiver-vm

The default disk space allocated to the OS disk of an Azure VM is not sufficient for installing NASA DRL tools. Follow the steps below to increase the size of the OS disk on the receiver-vm to 1TB.

  1. Open the portal.
  2. Navigate to your virtual machine.
  3. On the Overview page, select Stop.
  4. On the Disks page, select the OS disk.
  5. On the Disk pane, navigate to Size + performance page.
  6. Select Premium SSD(locally redundant storage) from the Disk SKU dropdown.
  7. Select the P30 Disk Tier (1024GB).
  8. Select Save.
  9. Navigate back to Virtual Machine pane.
  10. On the Overview page, select Start

On the receiver-vm, verify that the root partition now has 1TB available

lsblk -o NAME,HCTL,SIZE,MOUNTPOINT

This should show ~1TB allocated to the root / mountpoint.

NAME    HCTL        SIZE MOUNTPOINT
sda     0:0:0:0       1T 
├─sda1              500M /boot
├─sda2             1023G /
├─sda14               4M 
└─sda15             495M /boot/efi

Install Desktop and VNC Server

Using NASA DRL tools requires support for running GUI applications. To enable this, install desktop tools and vncserver on the receiver-vm:

sudo yum install tigervnc-server
sudo yum groups install "GNOME Desktop"

Start VNC server:

vncsever

Enter a password when prompted.

Remotely access the VM Desktop

Port forward the vncserver port (5901) over SSH to your local machine:

ssh -L 5901:localhost:5901 azureuser@receiver-vm
  1. On your local machine, download and install TightVNC Viewer.
  2. Start the TightVNC Viewer and connect to localhost:5901.
  3. Enter the vncserver password you entered in the previous step.
  4. You should see the GNOME Desktop that is running on the VM in the VNC viewer window.

Download RT-STPS and IPOPP installation files

From the GNOME Desktop, go to Applications > Internet > Firefox to start a browser.

Log on to the NASA DRL website and download the RT-STPS installation files and the IPOPP downloader script under software downloads. The downloaded files will land under ~/Downloads.

Alternatively, you can download the installation files on your local machine first and then upload to a container in Azure Storage. Then use AzCopy to download to your receiver-vm.

Install RT-STPS

tar -xvzf ~/Downloads/RT-STPS_7.0.tar.gz --directory ~/
tar -xvzf ~/Downloads/RT-STPS_7.0_testdata.tar.gz --directory ~/
cd ~/rt-stps
./install.sh

Validate your RT-STPS install by processing the test data supplied with the installation:

cd ~/rt-stps
./bin/batch.sh config/jpss1.xml ./testdata/input/rt-stps_jpss1_testdata.dat

Verify that output files exist in the data folder:

ls -la ~/data/

This completes the RT-STPS installation.

Install IPOPP

Run the IPOPP downloader script to download the IPOPP installation files.

cd ~/Downloads
./downloader_DRL-IPOPP_4.1.sh
tar -xvzf ~/Downloads/DRL-IPOPP_4.1.tar.gz --directory ~/
cd ~/IPOPP
./install_ipopp.sh

Configure and start IPOPP services

IPOPP services are configured using its Dashboard GUI.

Go to the VM Desktop and start a new terminal under Applications > Utilities > Terminal

Start the IPOPP dashboard from the terminal:

~/drl/tools/dashboard.sh

IPOPP starts in the process monitoring mode. Switch to Configuration Mode by the using the menu option.

Enable the following under the EOS tab:

  • gbad
  • MODISL1DB l0l1aqua
  • MODISL1DB l1atob
  • IMAPP

Switch back to Process Monitoring mode using the menu option.

Start IPOPP services:

~/drl/tools/services.sh start
~/drl/tools/services.sh status

This completes the IPOPP installation and configuration.

Step 3: Create Level-0 product using RT-STPS

Run rt-stps in batch mode to process the .bin file collected in Step 1

cd ~/rt-stps
./bin/batch.sh ./config/aqua.xml ~/aquadata/raw-2022-05-29T0957-0700.bin

This command produces Level-0 Production Data Set (.pds) files under the ~/rt-stps/data directory.

Step 4: Create higher level products using IPOPP

Ingest data for processing

Copy the PDS files generated by RT-STPS in the previous step to the IPOPP ingest directory for further processing.

cp ~/rt-stps/data/* ~/drl/data/dsm/ingest/.

Run IPOPP ingest to create the products configured in the dashboard. 

~/drl/tools/ingest_ipopp.sh

You can watch the progress in the dashboard.

~/drl/tools/dashboard.sh

IPOPP will produce output products in the following directory:

cd ~/drl/data/pub/gsfcdata/aqua/modis/

Next steps

To easily deploy downstream components necessary to receive and process spaceborne earth observation data using Azure Orbital Ground Station, see:

For an end-to-end implementation that involves extracting, loading, transforming, and analyzing spaceborne data by using geospatial libraries and AI models with Azure Synapse Analytics, see: