GEOG 510V: Spatial Analysis and Modeling – Principals of Digital Photogrammetry

Spring 2008

General Information

Instructor

Jackson Cothren

8 OZ and 320 JBHT

575-6790

jcothren@cast.uark.edu

Course Schedule

JBHT228

Lecture/Lab: Tuesday and Thursday, 12:30 - 1:50 PM

Office Hours: Wednesday, 8:00 - 11:00 AM

Texts

Required: Linder, W. (2006). Digital Photogrammetry: A Practical Course. 2^nd Edition, Springer.

Optional: Wolf, P., and Dewitt, B. (2000). Elements of Photogrammetry, 3^rd Edition, McGraw-Hill

Kraus, K. (1993). Photogrammetry Volume 1, Fundamental and Standard Processes, Dümmler/Bonn

Mikhail, E. (2000). Modern Photogrammetry, Wiley.

Software: ERDAS Imagine, Leica Photogrammetry Suite, PhotoModeler, PCI Geomatica, PhotoShop

Description

Geomatics is the modern scientific term referring to the integrated approach of measurement, analysis, and management of spatial data. These data come from many sources, including earth-orbiting satellites, air and sea-borne sensors and ground based instruments. It is processed and manipulated with state-of-the-art information technology using computer software and hardware. Geomatics has applications in all disciplines which depend on spatial data, including environmental studies, planning, archaeology, engineering, navigation, geology and geophysics, land development and land ownership. It is thus fundamental to all geoscience disciplines which use spatially related data and can take many forms including surveying, geodesy, remote sensing & photogrammetry, cartography, geospatial information systems, cadastral systems and global positioning systems.

This course will focus one aspect of geomatics – photogrammetry – and will emphasize the application of photogrammetry to the geosciences. We will occasionally peer into the science of photogrammetry itself to illuminate certain concepts, but will always return to practices using the software and data available in the lab.

Details

Grading Policy: Grades will be based upon collaborative problem sets, two examinations, and a comprehensive final project (presented to the class and as a written report) weighted as follows:

Collaborative Labs (30%)

Examinations (30%)

Final Project (40%)

Collaborative Labs: Lab exercises are designed to reinforce lecture material and develop skills in processing photogrammetric surveys. They will generally begin during class time. However, it is unlikely that you will have enough time to finish the assignment during the lab period so the labs will be due the following week (Monday or Wednesday) unless otherwise stated. I will not accept late submissions. I encourage you to collaborate on these problem sets as they are intended to reinforce concepts discussed in class. However, YOUR WORK MUST BE YOUR OWN. Collaboration does not imply copying work from others; departmental and college policies apply.

Exams: Exams will be open-book and open-note unless stated otherwise.

Inclement Weather Policy: Class will meet unless the University is closed. If for some reason I am unable to lecture, I will notify everyone by email the evening before class meets with instructions on make-up activities.