Bibliography Guidelines

Part of your grade is comprised of seven article reviews. These reviews will be turned in at the beginning of lab on designated days (see schedule on syllabus). Each article review is worth 8 points, for a total of 56 points.

Bibliography Criteria

The following criteria are used for each of the bibliographies:

Bibliography #1 - 3: You must use a commercial journal (such as, Apogeo Spatial (Formerly Imaging Notes), GeoWorld, Geoscience and Remote Sensing Magazine, Geospatial Solutions, Earth Imaging Journal, etc.). However, the article MUST deal with REMOTE SENSING and not geographic information systems. The article must be at least 3 pages long. GIS World, GEO World, and GEO Info Systems are located in Anschutz; some articles from these journals can be accessed online.

Bibliography #4: This article must deal with some aspect of aerial photography and NOT satellite imagery. These articles must come from peer-reviewed journals (see example list below) and not commercial journals like GIS World or Earth Imaging Systems.

Examples of Peer-Reviewed Journals (for Bib. 4-7):

Photogrammetric Engineering and Remote Sensing (Engineering Library)
Remote Sensing of Environment (Science Library)
IEEE Transactions on Geoscience and Remote Sensing (Science Library)
International Journal of Remote Sensing (Science Library)
GIScience and Remote Sensing
GeoCarto International (Science Library)

Bibliography #5 - 7: These can be articles dealing with any aspect of remote sensing. However, they MUST come from peer-reviewed journals.

Examples of ways to search for peer-reviewed articles include, but are not limited to, Web of Science (link through KU library), Google Scholar (Caution: not all articles through Google Scholar are peer-reviewed) and ScienceDirect.

You will also have a chance at the end of semester to submit Bibliography #8. The score for #8 will replace your lowest score in the same category.

Annotated Bibliography Assignment Requirements

This assignment is meant to familiarize students with the remote sensing literature and applications. Grading will be based on quality of the citation and annotation and will include the following criteria: correct citation style, sentence structure, punctuation, grammar, proofreading, spelling, ability to remain on focus, and use of higher cognitive skills in analyzing and synthesizing the article. Each bibliography should be about ½ to ¾ page in length and single-spaced in 12 point type. You may submit these on blackboard under the respective section.

Citation format should follow ACS style or similar (Zotero is your friend):
e.g: Author 1, A.B.; Author 2, C.D. Title of the article. Abbreviated Journal Name Year, Volume, page range.
e.x: Dunham, J., and K. Price. Comparison of nadir and off-nadir multi-spectral response patterns for six tallgrass prairie treatments in eastern Kansas. Photogrammetric Engineering and Remote Sensing 1996, 62(8): 961-967.

Please write down Bibliography # and your name on the first line.

Example of very bad bibliography:

Kevin Price, detection of soil erosion within pinyon-juniper woodlands using thematic mapper (TM) data. Remote Sensing Journal page 233.
I have never read such a cool story. It had lots of good stuff in it like how the trees reflected stuff back at the camera thing and it makes outrageous pictures. All my roommates thought it was a neat article too. I learned some good things in this magazine.

This “annotated bibliography” received less than 1 point

Example of a good bibliography:

Coll - Bibliography #2
Price, K. P. Detection of soil erosion within Pinyon-Juniper woodlands using Thematic Mapper (TM) data. Remote Sensing of Environment 1993 45: 233-248.

In this study, the author tested the sensitivity of TM data to varying degrees of soil erosion in pinyon-juniper woodlands in central Utah. TM data were also evaluated as a predictor of the Universal Soil Loss Equation (USLE) Crop Management C factor for pinyon juniper woodlands. Multispectral measurements collected by Landsat Thematic Mapper (TM) were correlated with field measurements, direct soil loss estimates, and the Universal Soil Loss Equation (USLE) estimates.

Correlation analysis showed that TM band 4 (near infrared) accounted for 78% of the variability in percent trees (r = -0.88). In multiple regression, percent trees, total soil loss, and percent total nonliving cover together accounted for nearly 70% of the variability in TM bands 2, 3, 4, and 5. TM spectral data were consistently better predictors of soil erosion factors than any combination of field factors. TM data were more sensitive to vegetation variations than the USLE C factor. USLE estimates showed low annual rates of erosion that varied little among the study sites. Direct measurements of the rate of soil loss using the SEDIMENT (Soil Erosion DIrect measureMENT) technique, indicated high and varying rates of soil loss among the sites since tree establishment. Erosion estimates from the USLE and SEDIMENT methods suggest that erosion rates have been severe in the past, but because significant amounts of soil have already been eroded, and the surface is now armored by rock debris, present erosion rates are lower. Indicators of accelerated erosion, however, were still present on all sites suggesting that the USLE underestimated erosion within the study area. These findings indicate that remotely sensed multispectral data should be considered as input to future models for estimating soil loss within pinyon-juniper woodlands and probably other vegetation types distributed over broad geographic regions.

This annotated bibliography received full credit (8 points)