Region
New Zealand Flag
NZ
UK Flag
UK
Globe and network

Google Earth & Satellite Data

by Andrew Bilsdon, Delivery Lead – Altis Sydney

Google Earth and the accompanying Earth Engine are a fantastic source of satellite data.

Before starting, it will help to understand a little about satellite data and how it is shared.

Firstly there are many satellites that are available to the public, a few examples include:

Each of these are based on different space agencies and missions. Each mission has a range of instruments that are suited to a certain type of data collection. Typically they include observations relating to the:

  • Atmosphere
  • Land
  • Marine
  • Climate
  • Emergencies
  • etc.

Now that it’s out of the way, we need to decide which agency, mission and instrument we want the data for. In the example we used, we chose a Top Of Atmosphere dataset provided by the LandSat 7 mission, since we are interested in the Normalized Difference Vegetation Index (NDVI)

This choice was based on a number of criteria, they include:
Resolution of the dataset (i.e. how detailed), how frequently it is updated, how contemporary the instrument is, etc.

Suffice to say this blog is not about satellites, it is about how to get a GeoJson data set, so I will leave the science for those far more qualified than me to explain.

Notes

  • The example script is based on an existing example from Google, no credit is taken for this.
  • The name of the file and Google Cloud Storage bucket will need to be changed to suit your own project, should you wish to follow this example.

Ok, let’s grab the source code from here and add it to Google Earth Engine. You should now have a tab in your browser that looks similar to the following:

There are several changes you can make if you are not interested in Tasmania in May, they include

  • filterDate
  • Geomerty.Rectangle
  • MapSet.Center
  • File
    • description
    • fileFormat
    • bucket

We are now three clicks away from getting our sample file. It involves running the script and then subsequently the created task:

When you are presented with the following click Run once more:

You can now log into the Google Cloud Console and inspect you chosen bucket and you should see:

Share

Facebook
Twitter
LinkedIn
WhatsApp

Leave a Reply

Your email address will not be published. Required fields are marked *

Recent

Connect with us

If you’d like to be kept in the loop on courses, events and other related topics, simply complete your details and we’ll add you to our list.

We use cookies to improve your experience and support our mission.
Read more about it here. By using our sites, you agree to our use of cookies.