| Course ID: | FANR 3800-3800L. 3 hours. 2 hours lecture and 3 hours lab per week. | | Course Title: | Spatial Analysis of Natural Resources | Course
Description: | Technologies and methods used to collect, manage, analyze, and
display spatial information for natural resource management.
Applications of geographic information systems, aerial
photography, satellite remote sensing, and global positioning
systems in forest planning, wildlife management, fisheries
management, and water resource management. | | Oasis Title: | SPATIAL ANALYSIS | | Duplicate Credit: | Not open to students with credit in FORS 3910-3910L | | Prerequisite: | FORS 3000-3000L or FANR 3000-3000L | Semester Course
Offered: | Offered fall and spring semester every year. | | Grading System: | A-F (Traditional) |
| | Course Objectives: | Students who successfully complete this class will be able to:
1. Understand fundamental concepts of geographic information
systems (GIS), including spatial data structures, map
projections, and coordinate systems
2. Use aerial photography to map terresterial and aquatic
features relevant to natural resource management
3. Interpret land cover maps derived from satellite imagery
4. Use the global positioning system (GPS) to integrate field
data into GIS databases
satellite remote sensing, and global positioning systems
5. Utilize GIS software to import spatial data, create custom
maps, query databases, and analyze spatial patterns
6. Apply spatial technologies to address real-world problems in
the field of natural resource management | | Topical Outline: | Week Topics
1 Introduction, Class Overview
2 GIS Background and Basics
3 Vector and Raster Data Models
4 Georeferencing: Datums, map projections, coordinate systems
5 Visualization of spatial data
6 Data Quality and Metadata
7 Remote Sensing I: Overview
8 Remote Sensing II: Aerial photography- Introduction, Photo Scale and Image
Registration
9 Remote Sensing III: Satellite Imagery, and applications
10 GPS
11 Spatial Data Sources
12 Linking Spatial and Tabular Data
13 Spatial Queries
14 Vector Analysis
15 Raster Analysis | |