Journal Article Discussion Schedule

 

(Pdf files are available in I:\Students\Instructors\Geoffrey_Duh\GEOG4582\Readings)

 

Week 4. Classification Tree (Questions)

 

Erick Stayton, Jack Anliker

Rogan J, Miller J, Stow D, et al. JUL 2003. Land-cover change monitoring with classification trees using Landsat TM and ancillary data. PE&RS 69 (7): 793-804.

 

Krisstina Wright

Chubey, M. S. 2006. Object-based Analysis of Ikonos-2 Imagery for Extraction of Forest Inventory Parameters. . PE & RS, 72 (4): 383- 394.

 

 

Week 5. Fuzzy / Subpixel classification (Questions)

 

Jack Anliker

Zhang, J, Foody GM.  A fuzzy classification of sub-urban land cover from remotely sensed Imagery.  International Journal of Remote Sensing. 19 (14) 2721-2738, 1998. (Zhang&Foody_1998.pdf)

 

Erick Stayton

Oki K, Oguma H, Sugita M. JAN 2002. Subpixel classification of alder trees using multitemporal Landsat Thematic Mapper imagery. PE&RS 68 (1): 77-82.

 

Week 6. Radiometric Correction & Applications

 

Matt Hartley, Satish Kottapalli

Chen, X. X., Vierling, L. and Deering, D. 2005. A simple and effective radiometric correction method to improve landscape change detection across sensors and across time. Remote Sensing of Environment, 98 (1): 63-79. (Chen_etal_2005.pdf)

 

Marius Dogar

Detection of biomass burning smoke in satellite images using texture analysis Atmospheric Environment, Volume 36, Issue 9, March 2002, Pages 1531-1542. Koji Asakuma, Hiroaki Kuze, Nobuo Takeuchi and Takashi Yahagi. (Asakuma_etal_2002.pdf)

 

Week 7. Texture Analysis  & Object-Based Image Classification

 

Ty Conley, Satish Kottapalli

Puissant, A., Hirsch, J. and Weber, C.  2005.  The utility of texture analysis to improve per-pixel classification for high to very high spatial resolution imagery.  International Journal of Remote Sensing, 26 (4): 733-745. (Puissant_etal_2005.pdf)

 

Erick Stemmerman

Gong, P.; Pu, R.L.; Li, Z.Q.; Scarborough, J.: Clinton, N.; Levien, L.M. 2006. An integrated approach to wildland fire mapping of California, USA using NOAA/AVHRR data. Photogrammetric Engineering and Remote Sensing, 72 (2): 139-150. (Gong_etal_2006.pdf)

 

Week 8. Accuracy Assessment & Change Detection I

 

Krisstina Wright, Joshua DuBois

Stehman, S.V. and Wickham, J.D. 2006. Assessing accuracy of net change derived from land cover maps. PE & RS, 72 (2): 175 – 185. (Stehman&Wickham_2006.pdf)

 

Phil Morefield, Ty Conley

Nackaerts, K., Vaesen, K., Muys, B., & Coppin, P. 2005. Comparative performance of a modified change vector analysis in forest change detection. International Journal of Remote Sensing, 26 (5): 839-852. (Nackaerts_etal_2005.pdf)

 

Week 9. Change Detection II

 

Joshua DuBois, Matt Hartley

Luojus, K. P., Pulliainen, J. T., Metsämäki, S. J., and Hallikainen, M. T. 2006. Accuracy Assessment of SAR Data-Based Snow-Covered Area Estimation Method. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 44 (2): 277-287. (Luojus_etal_2006.pdf)

 

Erick Stemmerman, Phil Morefield

Idris, M.H.; Kuraji, K.; Suzuki, M. 2005. Evaluating vegetation recovery following large-scale forest fires in Boreno and northeastern China using multi-temporal NOAA/AVHR images. Journal of Forest Research, 10 (2):101-111. (Idris_etal_2005.pdf)