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UNIVERSITY OF MINES AND TECHNOLOGY, TARKWA SECOND SEMESTER EXAMINATIONS, MAY 2018 COURSE NO: COURSE NAME:GM 276 PRINCIPLES OF REMOTE SENSINGCLASS:GM II1TIME: 22 HrsHRS Name: ___ Index Number: ___
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Understand the basic concepts and principles of remote sensing.
02
Identify the purpose of the remote sensing application.
03
Gather relevant data sources and satellite imagery.
04
Analyze and interpret the data to extract meaningful information.
05
Apply remote sensing techniques such as image processing and classification.
06
Validate the results and assess the accuracy of the remote sensing analysis.

Who needs principles of remote sensing?

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Researchers in fields such as environmental science, agriculture, forestry, and urban planning who require spatial data for analysis and monitoring.
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Government agencies and organizations involved in disaster management, land use planning, and resource management.
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Companies in industries like mining, energy, and infrastructure development that rely on remote sensing technology for surveying and monitoring purposes.
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The principles of remote sensing involve the acquisition of data about an object or phenomenon without making physical contact, typically through satellite or aerial imagery, and understanding how to interpret that data.
Individuals or organizations engaged in activities that involve the use of remote sensing technologies such as satellite imagery analysis, environmental monitoring, or land use planning may be required to file principles of remote sensing.
To fill out principles of remote sensing, one must gather relevant data, understand the guidelines for reporting, complete the necessary forms accurately, and submit them by the designated deadlines.
The purpose of principles of remote sensing is to ensure the accurate and effective use of remote sensing technologies for various applications, including environmental monitoring, urban planning, and resource management.
Information that must be reported includes the type of remote sensing technology used, the purpose of the data collection, the area covered, and the analysis methods employed.
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