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• CUTTING EDGE

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CUTTING EDGE

Attention

The content of this documentation applies exclusively to registered users with access to https://horizon.cloudferro.com

• Install TensorFlow on Docker Running on NSIS Cloud vGPU Virtual Machine
  • Prerequisites
  • What We Are Going To Cover
  • Step 1: Update software on your VM and verify that the NVIDIA graphics card is working
  • Step 2: Install Docker
  • Step 3: Install and verify the NVIDIA Container Toolkit (ndivia-docker2)
  • Step 4 Install TensorFlow with vGPU support
  • What To Do Next
• Sample Deep Learning workflow using vGPU and EO DATA on NSIS Cloud
  • What We Are Going To Do
  • The Prerequisites
  • Code Explanation
  • Practical Workflow
  • Performance Comparison
  • What Can Be Done Next
• Sample Workflow: Running EO Processing MPI jobs on a SLURM Cluster on NSIS Cloud Cloud
  • What We Are Going To Cover
  • Prerequisites
  • Step 1 Install mpi4py
  • Step 2 Install snappy
  • Step 3 Add EO Data Capabilities to the Cluster
  • Step 4 Install Additional Python Modules
  • Step 5 Run an Image Processing MPI Job
  • What To Do Next
• Analyzing and monitoring floods using Python and Sentinel-2 satellite imagery on NSIS Cloud
  • Prerequisites
  • Step 1 Selecting the appropriate images
  • Step 2 Calculating MNDWI index for chosen images
  • Step 3 Identifying areas with increased water presence
  • Download the resulting images
  • What To Do Next
• Using Sentinel-2 images to monitor mouth of the river Syr Darya and Aral Lake and analyzing it with NDWI index on NSIS Cloud
  • What is NDWI?
  • Advantages of using NDWI indicator
  • What We Are Going To Cover
  • Prerequisites
  • Define variables to hold the data
  • Work with RESTO API
  • Obtaining NDWI
  • Analysis
  • What To Do Next