Courses taught at LSU

GEOG 4047: Geographic Information Systems

This course introduces the fundamental concepts, techniques, and applications of GIS for the capture, display, storage, management, analysis, and modeling of geographic information. Step-by-step lab exercises using the mainstream ArcGIS software package will provide students extensive hands-on experience in using GIS software to understand, process, and analyze spatial data. 

GEOG 4045: Environmental Remote Sensing

This course introduces the principles, techniques and applications of remote sensing to students who are interested in utilizing remote sensing data for environmental information extraction and problem solving. Students will develop a basic understanding and working knowledge of remote sensing physics, methods for obtaining quantitative information from remotely sensed images, qualitative characterization, and interpretation of features in remotely sensed images, digital image processing of remote sensing data, and different types of remote sensing systems (including multispectral, thermal infrared, radar and LiDAR remote sensing) and their applications to various environmental issues. The practical component involves a series of step-by-step lab exercises. This will give students extensive hands-on practice in using remote sensing software to process, analyze, and interpret both airborne and spaceborne remote sensing data. Students will carry out an environmental independent project that will take them through a condensed, yet complete research experience of identifying a science problem/question, designing a research protocol, carrying out meaningful analysis and effectively addressing the question at hand.

 

GEOG 4020/ANTH4024: Aerial Photo Interpretation and Image Processing

This course introduces image interpretation and processing skills to analyze and map geological features, hydrological processes, landforms, natural resources, culture features, and environmental phenomena from aerial photographs and satellite images. Students will learn the fundamentals of aerial photograph measurement, image interpretation, and digital image processing skills to extract quantitative and qualitative information for various applications. 

The first part of the course covers basic principles of photogrammetry. The second part focuses on interpretation of culture and physical features. The third part introduces image enhancement, pattern recognition and change detection skills to allow advanced image processes to derive thematic information. The practical component involves a series of step-by-step exercises. This will give students extensive hands-on practice in using remote sensing software to process, analyze, and interpret both airborne and satellite images. 

Students will carry out course projects that will take them through a condensed, yet complete research experience of identifying a science problem/question, designing a research protocol, carrying out meaningful analysis and effectively addressing the question at hand.

GEOG 7955: Remote Sensing for Coastal Environment

This course introduces remote sensing related research topics for coastal environment such as land-cover changes, habitat mapping, and coastal terrain mapping using various remote sensing data including aerial photographs, multi-spectral and hyperspectral imagery, LiDAR, radar sensors. The content emphasizes a set of recent advanced developments, including data fusion, contextual analysis, object-oriented and machine learning classification, segmentation scale analysis, and classifier ensemble techniques. Student will also learn how to conduct scientific research through selected journal articles. In addition, students will carry out an independent project that will take them through a condensed, yet complete research experience of identifying a science problem/question, designing a research protocol, carrying out meaningful analysis and effectively addressing the question at hand.