Digital image processing and analysis applied to satellite and aircraqft alnd remote sensing data. Consideration is given to preprocessing steps including calibration and georegistration. Analysis methods include digital image exploration, feature extraction, thematic classification, change detection, and biophysical characterization. Example applications will be reviewed.
This course is designed to help students understand, analyze, design, and implement spatial databases. Topics covered include: spatial data models, spatial query languages, database architecture, data storage and indexing, SQL, data mining, etc. PostGIS and MySQL are used to design database in GIS context.
This course is about quantitative analysis of spatial data. It is intended to provide a broad survey of various statistic methods. The course is geared toward helping students: (1) develop an understanding of the important theoretical concepts in spatial data analysis; and (2) gain practical experience in application of spatial statistics to a variety of social and environmental problems using advanced statistical software. This course covers five broad topical areas: (1) point pattern analysis; (2) area data analysis; (3) continuous data analysis; (4) spatial sampling; and (5) multivariate spatial and temporal analysis. Prerequisites: Students should have background in introductory GIS.
Students will learn to use Free and Open Source Software for GIS (FOSS4g) to conduct GIS analysis and articulate the strengths and weaknesses of FOSS4g compared to commercial offerings. Students will be introduced to advanced concepts and techniques including enterprise GIS, spatial SQL, and displaying the results of GIS analysis over the Internet - something very few professional know how to do. Students will learn how to blend the FOSS4g products QGIS, PostgreSQL/PostGIS, and GeoServer into their technology stack and will become familiar with using spatial SQL for solving GIS and database related tasks.
This course is designed to: (1) introduce the concepts and theories that are related to an increasing important technology - Internet/Web GIS; (2) introduce various technologies or techniques for creating, analyzing, and disseminating GIS data and services via the Internet. The topics covered include the hardware/software structure of the Internet (e.g., server-client model, TCP/IP), the evoluation of Web GIS, and most importantly, different technology options. Students will be required to practice almost all of the Web GIS tools including Leaflet API, GIS Server, MapQuest, and ArcGIS JavaScript API. Students will also be exposed to the experience of working with the cloud environment such as AWS and ArcGIS online. Prerequisites: It is recommended students have some background in basic web design.