Urban Change Detection Analysis

Urban Change Detection Analysis

Assessment

Interactive Video

Geography

10th - 12th Grade

Hard

Created by

Patricia Brown

FREE Resource

The video tutorial addresses urban sprawl in Toronto, focusing on using multi-temporal and multi-sensor data to identify changes in urban areas. The process involves registering images from different sensors, performing classification to detect urban development changes, and using tools like PCI's Geo Imaging and ArcGIS for analysis. The tutorial demonstrates how to create a change detection map and visually inspect urban changes between 2002 and 2007.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main concern regarding urban sprawl in the Greater Toronto Area?

Population growth

Traffic congestion

Changes in urban areas

Environmental impact

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the significance of using multi-temporal data in this study?

To improve data accuracy

To capture seasonal variations

To identify changes over time

To reduce data redundancy

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which two types of data are used to analyze urban changes in Toronto?

IKONOS and WorldView

Landsat and MODIS

Spot and Comsat

Sentinel and QuickBird

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What tool is used to ensure the alignment of Spot and Comsat images?

PCI's Geo Imaging tools

ArcGIS Pro

QGIS

Google Earth Engine

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of collecting ground control points in this analysis?

To calculate urban growth rate

To classify land cover types

To perform ortho-rectification

To enhance image resolution

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of the digital elevation model in this process?

To calculate building heights

To classify vegetation types

To assist in ortho-rectification

To enhance image brightness

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is supervised classification important in this study?

To enhance color contrast

To detect new urban development

To improve image quality

To reduce data processing time

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