After the first mid-term, we learned some techniques for information extraction from remote sensing images. For the second mid-term, you will be assigned to read one of the papers below and give a presentation on Dec 4. This "reading and presentation" is a good chance for us to share several case studies. After this, you will have better idea on how people use remote sensing in their research. The following papers are all good examples of remote sensing application. They didn't use a very complicated remote sensing algorithm, but remote sensing helps in those researches.

• I encourage each of you read a paper. However, if two students really want to work together for a long paper, you can talk with me.

• If you would rather to search a paper of your interest on your own, you are welcome to do so. The best way is to search in Web of Science database. This paper has to be a referred/peer reviewed article. You should send me a copy for my approval before you start to work on it.

1. Analysis of Urban Land Cover and Population Density in the United States (PDF)

Francesca Pozzi and Christopher Small, 2005, Photogrammetric Engineering and Remote Sensing, 71(6)

Related figures here.

http://sedac.ciesin.columbia.edu/urban_rs/

2. Mapping invasive wetland plants in the Hudson River National Estuarine Research Reserve using quickbird satellite imagery (PDF)

Magdeline Laba, Roger Downs, Stephen Smith, Sabrina Welsh, Chuck Neider, Susan White, Milo Richmond, William Philpot, Philippe Bavey, 2007, Remote Sensing of Environment

 

3. Forest mapping with a generalized classifier and Landsat TM data (PDF)

Pax-Lenney M., Curtis E. Woodcock, Scott A. 2001, Macomber, Sucharita Gopal, Conghe Song, Remote Sensing of Environment 77, 241– 250

 

4. Remote sensing of forested wetlands: application of multitemporal and multispectral satellite imagery to determine plant community composition and structure in southeastern USA (PDF)

Townsend P. A. and Stephen J. Walsh, 2001, , Plant Ecology, 157: 129–149

 

5. Multi-temporal wheat disease detection by multi-spectral remote sensing(PDF)

Jonas Franke and Gunter Menz, 2007, Precision Agric, 8:161–172

 

6. The National Vegetation Classification Standard Applied to the Remote Sensing Classification of Two Semiarid Environments (PDF)

Elijah W. Ramsey, Gene A. Nelson, Darrell Echols, Sijan K. Sapkota, 2002, , Environmental Management Vol. 29 (5) pp. 703–715

 

7. Spatial patterns of the Chaco vegetation of central Argentina: Integration of remote sensing and phytosociology (PDF)

Zak, Marcelo R. & Cabido, Marcelo, 2002, , Applied Vegetation Science 5: 213-226,

 

8. Vegetation mapping of a tropical freshwater swamp in the Northern Territory, Australia: a comparison of aerial photography, Landsat TM and SPOT satellite imagery (PDF)

Harvey K. R. and G. J. E. Hill, 2001, Int. J. Remote Sensing, 22 (15) 2911–2925

 

9. Remote sensing of vegetation and land-cover change in Arctic Tundra Ecosystems (PDF)

Douglas A. Stow, et al, 2004, Remote Sensing of Environment, 89, 281-308

The requirement of the presentation:

1. The format is like a research talk. Assume you did this project and wrote this paper. You need to make a fairly complete story of your work, including the components below.

a) what question you want to address

b) what data (image, etc) you use, especially how remote sensing helps in this research.

c) what approach you use, flow chart is strongly suggested in the presentation. For some algorithm we didn't cover in class, you should do some search and explain it in details to the class.

d) All the modeling or analysis should be organized into several scenarios.

d should be the major part of the talk.

2. The  presentation time for each paper is 10 minutes. Within this time, you should budget at least 1-2 minutes for questions.

3. You are welcome to use any internet resource and I would like to help if you need further suggestions.