AQA · A-Level · Geography

    Course version: 7037 · Version from Sept 2018

    ICT skills: Use of remotely sensed data (as described above in Core skills).

    Remotely sensed data involves gathering information about the Earth's surface from a distance, typically using satellites, aircraft, or drones.

    Checked against the AQA 7037 specification (opens in a new tab) on .

    • Point 1 of 4
    • 2 key terms

    Study notes

    From the checked teaching notes for this specification point.

    The idea

    Remotely sensed data involves gathering information about the Earth's surface from a distance, typically using satellites, aircraft, or drones. Geographers use this data to analyse spatial patterns, monitor environmental changes, and assess hazards over time. For example, satellite imagery can track the retreat of glacial ice, measure rates of deforestation in the Amazon, or map flood extents following a severe storm. By comparing historical and contemporary images, students can quantify land-use changes and evaluate the impacts of human activity or physical processes. This data is often integrated into Geographic Information Systems to layer variables and enhance spatial analysis.

    What earns the marks

    • Identify specific geographical features or changes over time using satellite or aerial imagery.
    • Explain how remotely sensed data provides a broader spatial scale than ground-level fieldwork.
    • Evaluate the limitations of remotely sensed data, such as cloud cover obscuring satellite images or the cost of high-resolution drone surveys.
    • Describe how remotely sensed data can be integrated with Geographic Information Systems to analyse relationships between different spatial variables.

    Common mistakes and how to put them right

    • Confusing remote sensing with Geographic Information Systems.

      Put it right: Remote sensing is the collection of data from a distance, whereas Geographic Information Systems are the software used to store, analyse, and display that data.

    • Overlooking scale and resolution; students often fail to note that low-resolution imagery cannot be used to identify small-scale local features like individual buildings.

    Exam tips

    • When asked to evaluate data sources, contrast the broad spatial coverage of remote sensing with the detailed, site-specific nature of primary fieldwork.
    • Use specific examples of remotely sensed data, such as Landsat imagery or LiDAR, to demonstrate a strong understanding of geographical techniques.
    • Always consider the temporal aspect; mention how comparing images from different dates allows for the calculation of rates of change.

    Try the lesson

    The start of the ICT skills: Use of remotely sensed data (as described above in Core skills). lesson, made from checked teaching notes for this specification point.

    Have a go first

    Which of the following is an example of remotely sensed data commonly used in geographical investigations?

    Listen

    Remotely sensed data involves gathering information about the Earth's surface from a distance, typically using satellites, aircraft, or drones. Geographers use this data to analyse spatial patterns, monitor environmental changes, and assess hazards over time. For example, satellite imagery can track the retreat of glacial ice, measure rates of deforestation in the Amazon, or map flood extents following a severe storm. By comparing historical and contemporary images, students can quantify land-use changes and evaluate the impacts of human activity or physical processes. This data is often integrated into Geographic Information Systems to layer variables and enhance spatial analysis. A strong answer earns marks for these points. Identify specific geographical features or changes over time using satellite or aerial imagery. Explain how remotely sensed data provides a broader spatial scale than ground-level fieldwork. Evaluate the limitations of remotely sensed data, such as cloud cover obscuring satellite images or the cost of high-resolution drone surveys. Describe how remotely sensed data can be integrated with Geographic Information Systems to analyse relationships between different spatial variables. Exam tip: When asked to evaluate data sources, contrast the broad spatial coverage of remote sensing with the detailed, site-specific nature of primary fieldwork.

    See it

    A top-down flowchart. The first box reads 'Remotely sensed data collected from a distance' and points to a second box reading 'Satellites, aircraft or drones'. From this second box, three arrows lead to three boxes side by side: 'Analyse spatial patterns', 'Monitor environmental changes' and 'Assess hazards over time'. Each of these three boxes points to a box reading 'Integrated into Geographic Information Systems', which in turn points to a final box reading 'Layer variables and enhance spatial analysis'.
    It shows how remotely sensed data is gathered from a distance and then used to analyse spatial patterns, monitor environmental changes and assess hazards, with the data integrated into Geographic Information Systems.

    Key words

    Say what each word means before you turn the card.

    Remotely sensed data

    Try answering aloud or in your head before turning the card.

    Geographic Information Systems

    Try answering aloud or in your head before turning the card.

    See every definition
    Remotely sensed data
    Information about the Earth's surface gathered from a distance, typically using satellites, aircraft, or drones.
    Geographic Information Systems
    Software used to store, analyse, and display data, into which remotely sensed data is often integrated to layer variables and enhance spatial analysis.

    Label the diagram

    Some boxes have lost their names. Pick the right name for each number.

    The diagram again, with 3 boxes numbered instead of named. A top-down flowchart. The first box reads 'Remotely sensed data collected from a distance' and points to a second box reading 'Satellites, aircraft or drones'. From this second box, three arrows lead to three boxes side by side: 'Analyse spatial patterns', 'Monitor environmental changes' and 'Assess hazards over time'. Each of these three boxes points to a box reading 'Integrated into Geographic Information Systems', which in turn points to a final box reading 'Layer variables and enhance spatial analysis'.
    • 1Box 1

    • 2Box 2

    • 3Box 3

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