Remote Sensing

Remote Sensing

University

25 Qs

quiz-placeholder

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Remote Sensing

Remote Sensing

Assessment

Quiz

Science

University

Hard

NGSS
MS-ESS3-2, MS-PS4-2, MS-ESS2-2

+5

Standards-aligned

Created by

Lisa Thompson

FREE Resource

25 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What do satellites measure from the Earth-Atmosphere system?

electromagneticradiation

eater

Visible light only

terrains

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Healthy vegetation reflects energy in what parts of the electromagnetic spectrum?

Blue and Green

Green and Near-Infrared

Blue and Red

Green and Red

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the relationship between spatial resolution and spatial extent in satellite imagery?

low spatial resolution = greater spatial extent

high spatial resolution = greater spatial extent

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What role does remote sensing play in environmental monitoring?

Identifying spatial patterns in GIS data 

Collecting ground-truth data for GPS analysis 

Observing Earth's surface from a distance using sensors 

Navigating through rugged terrain using satellite imagery 

Tags

NGSS.MS-ESS3-2

NGSS.MS-ESS3-3

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following is an example of an active remote sensing technique?

 LiDAR 

Aerial photography 

Satellite imagery 

Hyperspectral imaging 

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

How can GPS, GIS, and remote sensing data be integrated to monitor changes in land cover over time?

By analyzing GPS trajectories of mobile devices 

By overlaying satellite imagery onto GIS layers 

By converting GPS coordinates to digital elevation models 

By conducting field surveys with GPS devices 

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

What is the significance of spatial data interoperability in the integration of GPS, GIS, and remote sensing?

It ensures that GPS coordinates are accurate and up-to-date. 

It enables seamless exchange and integration of spatial data between different systems

It improves the resolution of satellite imagery for remote sensing applications

It reduces the cost of GIS software licenses for spatial data analysis

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