Remote Sensing and GIS Technologies for Undergraduate Curricula in the Social Sciences

July 23-28, 2006,: Norman, OK

Participants should arrive in Norman on Saturday, July 22nd. Registration will take place in the Atrium of the Sarkeys Energy Center (SEC - Level 1), OU Norman Campus, on Sunday, July 23rd, between 8:30 and 9:00 AM. The first class will start in the GIS LAB (SEC N106) at 9:00 AM. On 23 July, the shuttle will depart from Residence INN to OU campus [Campus Map] at 8:10 AM. For the rest of the workshop days, the shuttle will depart at 8:40 AM

A single zipfile of the entire OU SPACE 2006 DVD is available OU_SPACE_2006 (password protected) . It contains all of the lectures, readings, lab exercises, and data that are available in one single download.

Breakfast and Lunch are included with accomodations. Dinner will be on your own unless otherwise indicated. Scheduling details will be posted in June 2006.

Sunday, July 23: Introduction and Motivation
8:30	Workshop Registration	Melissa Brown
9:00	Orientation and Ice Breaker	Group
9:30	Welcome and overview of remote sensing multidisciplinary education and research initiatives at OU	Lee Williams VP of Research OU
10:00	The Objectives of SPACE and Resources from the Center for Spatially Integrated Social Science	Don Janelle
10:30	Break
10:45	Private Universe	Video
11:15	Science Teaching and the Learner: The Learning Cycle	Jon Pederson
12:00	Lunch
1:00	Remote sensing and social sciences: A gallery of applications	Tarek Rashed, Katy Rich, Victor Mesev, May Yuan, Lab Consultants
2:15	Computer lab orientation: Login information, overview of software	Chris Cook
2:30	Break
2:45	Computer exercise: Linking remotely sensed measures and population data to analyze socioeconomic implications of machine space in Los Angeles, CA	Tarek Rashed, Katy Rich, Victor Mesev, May Yuan, Lab Consultants
4:00	Break
4:15	Group Discussion: Pedagogy discussion (reflections on the Machine Space exercise)	Jon Pedersen, May Yuan, Tarek Rashed, Victor Mesev
5:30	Catered reception & Poster Session (Goal setting for the workshop)	Group
Monday, July 24: Remote Sensing Classification for Social Science
9:00	Computer exercise: Introduction to image processing software and RS data warehouses	Tarek Rashed, Mang Lung Cheuk, Victor Mesev, Lab Consultants
10:30	Break
10:45	Introduction to Remote Sensing Basic RS principles Types of RS imagery, Data availability *Background Reading* (password protected): Mesev Introduction part1 (15.5MB) Mesev Introduction part2 (2MB) Mesev Introduction part3 (7.9MB) Mesev Classification part1 (8.1MB) Mesev Classification part2 (12.1MB) Introduction to ERDAS IMAGINE (8.1MB)	Victor Mesev
11:30	Group Reflections
12:45	Computer exercise: Incorporation of social data in image classification	Victor Mesev, Mang Lung Cheuk, Tarek Rashed, Lab Consultants
2:00	Break
2:15	RS classification for social science applications Hard and soft classification Incorporation of social/economic data in urban image classification	Victor Mesev
3:00	Break
3:15	Open computer lab and consultation with Faculty	Victor Mesev, Tarek Rashed, May Yuan
4:30	Break

Tuesday, July 25: Syllabus Design for Social Science Courses Integrating RS and GIS Technologies
9:00	Small Group Discussions I: Pedagogic considerations in incorporating remote sensing and GIS in undergraduate curricula	Jon Pederson, Dustin Howard, May Yuan, Tarek Rashed, Victor Mesev, Becky Powell
10:15	Break
10:30	Small Group Discussions II: Technical considerations in incorporating remote sensing and GIS in undergraduate curricula Develop group syllabi, by interest area, including technical challenges based on the exercise and lectures presented July 23-24	May Yuan, Dustin Howard, Jon Pederson, Tarek Rashed, Victor Mesev, Becky Powell
11:45	Synthesis of group discussion & reflections	Jon Pederson, May Yuan
12:15	Lunch
1:30	Field Trip and dinner in Oklahoma City

Wednesday, July 26: Regional and Nighttime RS data for social applications
9:00	Computer exercise: Regional land-cover change	Becky Powell, Matt Collier, Tarek Rashed, Lab Consultants
10:30	Break
10:45	Integrating RS and social science for land-cover change studies Linking human decisions to landscape outcomes Scales of analysis *Background Reading* (password protected): A CIESIN Thematic Guide to Social Science Applications of Remote Sensing (2MB)	Becky Powell
11:30	Group Reflections
11:45	Lunch
12:45	Computer exercise: Nighttime imagery	Becky Powell, Matt Collier, Tarek Rashed, Lab Consultants
2:00	Break
2:15	Nighttime imagery for social sciences Estimating population Modeling the spatial distribution of economic activities Measuring human impact on the environment *Background Reading* (password protected): Nighttime Lights Data OU SPACE Workshop (3.6MB) Night-time Imagery as a Tool for Global Mapping of Socioeconomic Parameters and Greenhouse Gas Emissions (448kb) Mapping City Lights with Nighttime Data from the DMSP Operational Linescan System 1997a_001 (1.6MB) Mapping City Lights with Nighttime Data from the DMSP Operational Linescan System 1997a_005 (2.1MB) Mapping City Lights with Nighttime Data from the DMSP Operational Linescan System 1997a_007 (864kb) Satellite inventory of human settlements using nocturnal radiation emissions: a contribution for the global toolchest (1.1MB) Night-time Lights of the world: 1994-1995 (2MB) Trends in night-time city lights an vegetation indices associated with urbanization within the conterminous USA (896kb) Urbanization in Sub-Saharan Africa and implication for malaria control (224kb) Ecological light pollution (448kb) Biomass burning and related trace gas emissions from tropical dry deciduous forests of India: A study using DMSP-OLS data and ground-based measurements (768kb) A scale-adjusted measure of "Urban sprawl" using nighttime satellite imagery (6.6MB) An Empirical Environmental Sustainability Index Derived Solely from Nighttime Satellite Imagery and Ecosystem Service Valuation (608kb) Global estimates of market and non-market values derived from nighttime satellite imagery, land cover, and ecosystem service valuation (3.2MB) Throwing light on straddling stocks Illex argentinus: assessing fishing intensity with satellite imagery (1.8MB)	Becky Powell
3:15	Group Reflections
3:30	Break
3:45	Open computer lab and consultation with Faculty	Becky Powell, Tarek Rashed, May Yuan

Thursday, July 27: GIS as integration platform for RS and social data
9:00	Computer exercise: Socioeconomic and population dynamics in response to large-scale natural hazardous events	May Yuan, James Bothwell, Becky Powell, Tarek Rashed, Lab Consultants
10:30	Break
10:45	GIS Analysis and Modeling with RS and Social Data Integration of RS and social data in GIS GIS tools for spatial analysis GIS procedures for spatial modeling Incorporating spatial thinking, analysis, and modeling into social science curricula	May Yuan
11:45	Group Reflections
12:00	Lunch
1:00	Research case studies and general discussion	Becky Powell, Tarek Rashed, May Yuan
2:15	Group Reflections
2:30	Break
2:45	Open computer lab and consultation with Faculty	Becky Powell, Tarek Rashed, May Yuan

Friday, July 28: Project presentation and wrapping up
9:00	Session I: Participant Presentations and Peer Feedback	Group
10:30	Break
10:45	Session II: Participant Presentations and Peer Feedback	Group
12:00	Lunch
1:00	Comments on pedagogic elements in the projects	Jon Pederson
1:30	Comments on technical elements in the projects	May Yuan
2:00	Break
2:15	Keynote lecture and commentary "What Does Google Earth Mean for the Social Sciences?" *Background Reading* (password protected): What does Google Earth Mean for the Social Sciences? (2.9MB)	Mike Goodchild
3:30	Break
3:45	Closing and workshop certificates	Tarek Rashed