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Teaching

Introduction to the Use of Aerial and Satellite Remote Sensing For Archaeological Research and Management

Dr. Douglas C. Comer

Telephone: 410-243-2626
Fax: 410-243-8383
Email: dcomer@culturalsite.com

This course will present those elements of remote sensing technology most relevant to archaeological research and site management. In doing so, it will review, using simple terms, the properties of electromagnetic radiation that govern the design of aerial and satellite remote sensors and sensor platforms, in particular the interaction of the bands of the electromagnetic spectrum used by these sensors with the atmosphere.

Armed with this knowledge, students will be much better able to select appropriate images, to understand how they might be enhanced in order to maximize the probability of a favorable outcome, and to conduct productive image classifications and other analyses.

Students will be introduced to the most essential remote sensing concepts, and should leave knowing what they will need to learn in order to use remote sensing technology on their research and work.

Students should have some previous experience with image enhancement, image analysis, or geographical information system (GIS) software.

All students must be practicing archaeologists or enrolled in a graduate archaeology program.

TOPICS COVERED:

Enhancing the Probability of a Good Outcome - In archaeological research and resource management, what we are looking for and why we are looking for it determine in part how we should look

Approaches that have worked - Radar Rivers, the Lost City of Ubar, and Ancient Agriculture: Lessons From a Brief History of NASA Space Archaeology

What is the remote sensing process? - Elements in the process that bear upon good results Introduction to image enhancement and analysis software

What is an image and why this is important to archaeological research and management - Data, pixels and images

Digital image processing

- Image rectification and restoration

- Image Enhancement

- Image Classification Data Merging

 

Selection and acquisition of optimal data sets

 

Additional Information

 


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