ERS186L

Course website: http://www.cstars.ucdavis.edu/classes/ers186l-s03

Course listserv: ers186l-s03@ucdavis.edu

Goals: to be able to use the ENVI 3.6 remote sensing analysis package, and to be able to perform basic remote sensing research including statement of research question, data acquisition, data preprocessing (geometric and radiometric), field data collection using GPS, image transformation, classification, presentation of results in written and oral form.

Grading: the entire grade will be based on a research project to be performed during the course.
Due April 23rd:
Initial research proposal (10%): each student must come up with a 1 page research proposal by week 4. The proposal will be discussed with Solomon and Jonathan during the 4th week in class. The proposal must include:
1. Introduction and relevance
2. Statement of question to be addressed and hypotheses
3. Methodology and data: What data is to be used and whether it is available: this includes RS imagery and any GIS needed. We will not be paying for any data, so you will either have to use free imagery, or purchase it yourself. If you need additional equipment, please mention this (GPS, etc…)
Due June 4th:
Oral report (30%): each student will give a 15-minute oral report on his or her findings (with 5 minutes afterwards for questions). The report must include an introduction, statement of the problem, methods, results and conclusions.
Written report (60%): each student will give a 10 page (double-spaced) research report. It will include an abstract, introduction, statement of problem, methods, results and conclusions. Maps must include appropriate legends.

Computer and Computer Lab Rules and Information
• Please use the same computer each class period. You can save to “My Documents”.
• Data is NOT backed up, but all computers have CD burners so if you want to back data up, please bring blank CDs. We will not allow data loss to be an excuse for postponing the written or oral reports!
• There is a schedule outside of the computer lab. You are free to work on your tutorials and project any time there is NOT a class already scheduled, but we can’t guarantee the PES building will be open late in the afternoon (after 5).

Tutorials: to be completed by the 4th week. Each student should work through these tutorials at his/her own rate. Try to do at least 3 per week. Other tutorials are available but should be considered optional:
1. Introduction to ENVI
2. Introduction to Panchromatic Data and Vector Overlays
3. Multispectral Classification
4. Image Georeferencing and Registration
10. Vector Overlay and GIS Analysis
11. Map Composition
12. Introduction to Hyperspectral Data and Analysis
13. Basic Hyperspectral Analysis
14. Selected Mapping Methods Using Hyperspectral Data
15. Advanced Hyperspectral Analysis
17 – 20. Hyperspectral Case studies (please choose one: Geologic, Archaeology, Vegetation, Near-Shore Marine
27. ENVI Topographic Tools

Data Search and Acquisition
USGS EOS Data Center: http://edcimswww.cr.usgs.gov/pub/imswelcome/
GLCF: http://glcf.umiacs.umd.edu/index.shtml

Additional Equipment: if requested, students can schedule time for using our GPS, ASD and GER Spectrometers and LICOR LAI-2000 LAI meters. These must requested in advance, since you will need a CSTARS tech to assist you with them (you will not be allowed to use the spectrometers or LAI-2000 by yourself).

Good reference books (we’ll try to get these on reserve):
Jensen, J. R. 1996. Introductory digital image processing: a remote sensing perspective. Prentice Hall, Upper Saddle River.
Richards, J. A. and X. Jia. 1999. Remote sensing digital image analysis: an introduction. Spring-Verlag, New York.

Final Student Projects and Papers

Student Name/Enrollment	Project Title	Presentation	Paper
Frank Anderson, Graduate	Estimating vegetation patterns using color and color infrared films for a restored wetland ecosystem	3.2 MB	135 KB
Margaret Andrew, Graduate	Hyperspectral mapping of Tamarix spp. invasions in the American southwest	2.1 MB
David Darling, Undergraduate	Using AVIRIS imagery to map invasive species at Ft. Benning, GA	2.8 MB	88 KB
Ginger Kennedy, Undergraduate	Vegetation changes in Davis between 1989 and 2000	0.5 MB
Shruti Khana, Graduate	Estimating bare soil acre days through remote sensing	4.3 MB	1.8 MB
Belen Marti-Cardona, Graduate	Accuracy study of agriculture land use mapping using AVIRIS data	1.6 MB
Mark Meyer, Undergraduate	Change detection analysis in wooded land of Landsat images for use in heat island research	1.2 MB
Susan Roberts, Graduate	Extent of potential California spotted owl habitat in Yosemite National Park, California	2.0 MB	96 KB
Sylvia Stork, UC Extension	Chlorophyll-a concentration in Case 2 waters derived from hyperspectral remote sensing data	1.6 MB
Matthew Thompson, Undergraduate	Open space: how urbanization and agriculture impact the view shed around the city of Davis	0.4 MB	404 KB
Edward Tom, Undergraduate	Vegetation identification using unsupervised classifications	2.1 MB	655 KB