Overview
Description
Undergraduate and graduate students collaboratively investigate the sustainability of agricultural systems through the development of a remote sensing-based (RS) research portfolio. The portfolio is a demonstration of the collaborative’s expertise in RS problem identification, experimental design, data gathering, processing, analyses, and interpretations, and the dissemination skills necessary to publish their research findings.
Requirements
Prerequisites
REM 241NRES 217
Original catalog text
Prerequisites
Prequisite(s): REM 241 or NRES 217
Units
Lecture3
Laboratory Studio1
Catalog Details
Offering
Offered: Every Spring
Terms
spring
Core
CO14
Attributes
Standard
Learning Outcomes
- write a research proposal abstract, annotated bibliography, a progress report, and a basic research paper.
- conduct RS research by developing familiarity with public databases and remote sensing data acquisition, pre- and post image processing, and the use of analytical techniques including statistical analyses with various types of RS data.
- demonstrate basic knowledge of experimental design and the planning, operation, and maintenance of selected field equipment including stand alone & drone PPK and RTK GPS, radiometers, GPR, and TLS.
- become familiar with and use both commercial and opensource software available for RS image processing including Pix4D, ENVI, CloudCompare, Quick Terrain Modeler, QGIS, R, Python and Google Earth Engine (GEE, Python and/or Java Script).
- prepare an annotated bibliography/literature review in keyhole macro language (kml) to become conversant in the language/jargon of remote sensing.
- write kml script for database storage and map display of their annotated bibliography in Google Earth.
- design and present a poster and/or oral presentation.
- work collaboratively in teams of diverse individuals and exercise leadership skills on projects.
- develop a remote sensing portfolio that is a synthesis and integration of remote sensing theory towards practical application to agriculture and rangeland problems of interest to the students.