Access data#

If you feel as lost as we did for accessing data, this wiki entry will be for you!

Earth observation / remote sensing#

We focused on the following satellites

  • Landsat

  • Sentinel 2 a/b

  • MODIS

Data access#

via Ocean Color website#

The easiest way we have found to interact with this data is to request a list of download URLs from NASA’s Ocean Color website https://oceancolor.gsfc.nasa.gov, and then batch-process these in Python.

via Planetary Computer Hub#

  • For remote sensing data, there is a cool new tool from Microsoft which lets you access all sorts of remote sensing data.

  • You have to request access, but currently (Dec 2023), it is free and we had no problems with getting access.

Use case: L3 chlorophyll and temperature data from MODIS via ocean color#

Step 1: Website#

Step 2: Settings#

  • Standard

  • Aqua-MODIS

  • chlorophyll concentration or SST (11u daytime)

  • monthly

  • 4km

  • 1/1/2021 to 31/12/2022

  • click the blue “Extract or Download Data” button

Step 4: Save files#

  • Either you write a script or you copy each link into your browser to save the images

  • One of the .nc files may have a size of 215MB

Solar system / remote sensing#

We focused on the following spaceprobes

  • Cassini

Data access#

via NASA pds imaging server#

via PILOT#

  • After selecting a region, you can download a csv file with links of all relevant images.

  • A file has e.g. 200kb

  • https://pilot.wr.usgs.gov/

Open cub files#

via Integrated Software for Imagers and Spectrometers v3#

Use case: VIMS from Cassini#

Step 1: access data “raw cube data”#

Step 2: open cub files#

  • use Integrated Software for Imagers and Spectrometers v3

Medical images#

We focus on the following images

  • OCT/OCTA

  • Fundus

  • Cells

Data access#

via Grand-Challenge#

via IEEE#

via Cellpose#