Special Topics in Plant Biology and Conservation (470-0-6)

Topic

GIS - Raster & Remote Sensing

Instructors

Felice Gianluca Sperone

Meeting Info

Technological Institute F285: Mon 9:30AM - 10:50AM

Overview of class

We will focus on the raster GIS environment, which is the core analytical GIS data structure used for natural resource modeling and environmental analysis. Students will learn the raster structure and its advantages and limitations; will learn tools and techniques used to display, process, and analyze remotely sensed data, including appropriate raster data management and procedures; raster surface modeling and image interpretation; map-algebra concepts using ArcGIS Spatial Analyst; proximity and dispersion modeling. Student will be assessed on in-class exercises, homework assignments, weekly labs, a final exam, and a final project in which students will demonstrate their ability to apply new skills to a real-world situation of academic interest by preparing and presenting a research poster.

Registration Requirements

Some basic GIS knowledge preferred, however students without prior GIS experience will independently complete ~ 4 hour online pre-course learning tutorial provided by the instructor.
Pre-registration - majors/minors in ENVR SCI, EARTH, EPC.
Regular Registration - Any 3 prior STEM courses.

Class Materials (Required)

We will use the ESRI ArcGIS Pro software in this course.
The ideal personal laptop for this course is a PC Windows machine with Window 10 or 11 64x, 4 cores CPU (2 is the minimum), 32 GB of RAM (8GB is the minimum, and a 32 GB or more Hard Disk on a solid-state drive (SSD).

For those with laptop limitations, all students will have access the NUIT Virtual lab, in which you can access ArcGIS Pro via remote connection to a virtual machine over the internet.

Class Notes

Raster and Remote Sensing can be taken without prior GIS knowledge.

Associated Classes

LAB - Technological Institute F285: Wed 9:30AM - 10:50AM