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Certificate On Campus

Introduction to Earth Observation Data Science Cranfield University

Highlights
Tuition fee
1400 GBP / full
1400 GBP / full
Unknown
Tuition fee
1400 GBP / full
1400 GBP / full
Unknown
Duration
5 days
Duration
5 days
Apply date
Unknown
Unknown
Apply date
Unknown
Unknown
Start date
Unknown
Unknown
Start date
Unknown
Unknown
Campus location
Cranfield, United Kingdom
Campus location
Cranfield, United Kingdom
Taught in
English
Taught in
English

About

The Introduction to Earth Observation Data Science course offered by Cranfield University is intended for environmental scientists and ecologists, non-profit and conservation organisations, agricultural professionals, urban planners, educators and researchers.

Overview

What you will learn

On successful completion of this Introduction to Earth Observation Data Science course offered by Cranfield University , you will be able to:

  • Review types and principles of satellite EO and how electromagnetic radiation as related to satellite EO interacts with the earth’s surface and the atmosphere,
  • Outline key planetary EO cloud back-ends (e.g., Google Earth Engine, Microsoft Planetary Computer, AWS) and discover their associated data catalogues including datasets from the Google Earth Engine Community,
  • Use Python APIs to access Google Earth Engine and Microsoft Planetary Computer EO cloud data,
  • Create and customise scripts using Python API to access and manipulate collections of EO data in Google Earth Engine,
  • Extract and visualise time series of spectral indices over a given area such as vegetation, water, soil and snow indices,
  • Build EO data workflows integrating data from EO cloud back-ends

Programme Structure

The program focuses on:

  • Satellite EO types and principles: including Optical, Thermal and Radar Remote Sensing,
  • Explore key EO cloud back-ends and associated data catalogues focussing on Google Earth Engine and Microsoft planetary computer. This will include hands-on sessions on data discovery using Python APIs and JupyterLab,
  • Manipulate EO data collections: hands-on sessions focussing on progressively developing a workflow on how to get image collections from a given satellite sensor, apply cloud algorithms and other processing functions, and aggregate data spatially and temporally,
  • Develop workflows to extract time series data of various spectral indices over a given area/grid cell. We will cover various indices such as vegetation, water, soil and snow indices,
  • Mini-hackathon - develop custom workflows to integrate datasets from key EO cloud platforms

Key information

Duration

  • Full-time
    • 5 days

Start dates & application deadlines

We did our best, but couldn't find the next application deadline and start date information online.
More details
  • Please enquire for course dates

Language

English

Delivered

On Campus

Campus Location

  • Cranfield, United Kingdom

What students do after studying

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • The course is intended for non-profit and conservation organisations, agricultural professionals, urban planners, educators and researches, environmental scientists and ecologists.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    1400 GBP / full
    1400 GBP / full
  • Domestic

    Citizens or residents
    1400 GBP / full
    1400 GBP / full

Living costs

Cranfield

United Kingdom
700 - 1300 GBP / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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