Instructions
- Discussion
leaders should coordinate the assignment of readings/tasks.
- Submit
to the instructor a hardcopy or digital copy of each article they will
review TWO
weeks before the scheduled discussion meeting.
- Email
the list of discussion questions to the instructor 2 days before the scheduled
meeting (e.g., submit on Tuesday if the meeting is on Thursday).
- Submit
the review (synopsis and critique) and answers to the discussion questions
before the discussion.
April 14. Remote
Sensing Applications, Decision tree
Darrell Fuhriman, Annalisa Romano
McCauley,
S.; Goetz, S.J. 2004. Mapping residential density patterns using multi-temporal
Landsat data and a decision-tree classifier. International Journal of Remote
Sensing 25 (6): 1077-1094.
Joy,
S. M.; Reich, R. M.; Reynolds, R. T. 2003. A non-parametric, supervised
classification of vegetation types on the Kaibab National Forest using decision
trees. International Journal of Remote Sensing 24 (9): 1835 – 1852.
Herold
M, Scepan J, Clarke KC 2002. The use of
remote sensing and landscape metrics to describe structures and changes in
urban land uses. ENVIRONMENT AND PLANNING A 34 (8): 1443-1458.
April 21.
Land-use/cover change
Jack Anliker, Annalisa Romano,
Dara Zike
Lo, C.
P. and X. J. Yang. 2002. Drivers of Land-Use/Land-Cover Changes and Dynamic
Modeling for The Atlanta, Georgia Metropolitan Area. Photogrammetric
Engineering and Remote Sensing 68 (10): 1073-1082.
Seto, KC, Woodcock, C.E, Song, C, et al.
2002. Monitering Land Use Change In Pearl River Delta Using Landsat TM.
International Journal of Remote Sensing 23 (10): 1985-2004.
Prol-Ledesma, R. M.; Uribe-Alcantara, E.
M.; Diaz-Molina, O. 2002. Use of Cartographic data and Landsat TM images to
determine Land Use change in Vicinity of Mexico City. International Journal of
Remote Sensing 23 (9): 1927-1933.
Cohen WB, Spies TA, Alig RJ, et al. 2002. Characterizing
23 years (1972-95) of stand replacement disturbance in western Oregon forests with Landsat
imagery. ECOSYSTEMS 5 (2): 122-137.
April 28. Fuzzy
classification
Belinda Beller, Jack Anliker, Tom Kuhn
Metternicht
GI, Zinck JA. 2003. Remote sensing of soil salinity: potentials and constraints.
REMOTE SENSING OF ENVIRONMENT 85 (1): 1-20.
Lein, J.K. 2003. Applying evidential reasoning
methods to agricultural land cover classification.
International Journal of Remote Sensing 24 (21): 4161 - 4180.
Shackelford AK, Davis CH. 2003. A hierarchical fuzzy classification approach for high-resolution multispectral data over urban areas. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE
SENSING 41 (9): 1920-1932.
May 5. Atmospheric
correction
Belinda Beller, Don Brown, Shane Metcalf
Yang X; Lo C.P. 2000. Relative
Radiometric Normalization Performance for Change Detection from Multi-Date
Satellite Images. PE&RS 66(8): 967-980.
Pax-Lenney
M, Woodcock CE, Macomber SA, Gopal S, and Song C. 2001.
Forest mapping with a generalized classifier and
Landsat TM data. REMOTE SENSING OF ENVIRONMENT 77 (3): 241-250.
KAUFMAN
YJ, REMER LA 1994. DETECTION OF FORESTS USING MID-IR REFLECTANCE - AN APPLICATION FOR
AEROSOL STUDIES. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 32
(3): 672-683.
Simpson
JJ, Stitt JR. 1998. A procedure
for the detection and removal of cloud shadow from AVHRR data over land.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 36 (3): 880-897.
May 10. Object-based high-resolution image classification
Tom Kuhn, Bill Hines
Shackelford, AK, Davis, CH 2003. A
combined fuzzy pixel-based and object-based approach for classification of
high-resolution multispectral data over urban areas. IEEE Trans. Geosci. Remote
Sensing 41(10): 2354-2363.
Kiema
JBK 2002. Texture analysis and data fusion in the extraction of topographic
objects from satellite imagery. International Journal of Remote Sensing 23 (4):
767-776.
JANSSEN, LLF, MOLENAAR, M. 1995.
TERRAIN OBJECTS, THEIR DYNAMICS AND THEIR MONITORING BY THE INTEGRATION OF GIS AND
REMOTE-SENSING. IEEE Trans. Geosci. Remote Sensing 33 (3): 749-758.
May 12. Change
detection
Don Brown, Kurt Hellman
Comber AJ, Law ANR, Lishman JR.
2004. Application of knowledge for
automated land cover change monitoring. INTERNATIONAL
JOURNAL OF REMOTE SENSING 25 (16): 3177-3192.
Coppin P, Jonckheere I, Nackaerts K, Muys B, Lambin
E 2004. Digital change detection methods in ecosystem monitoring: a
review. INTERNATIONAL JOURNAL OF REMOTE
SENSING 25 (9): 1565-1596.
Sader SA, Hayes DJ, Hepinstall JA, et al.
2001. Forest change monitoring
of a remote biosphere reserve. INTERNATIONAL JOURNAL OF REMOTE SENSING 22 (10):
1937-1950.
Guild
LS, Cohen WB, Kauffman JB 2004. Detection of deforestation and land conversion
in Rondonia, Brazil using change detection techniques. INTERNATIONAL JOURNAL OF
REMOTE SENSING 25 (4): 731-750.
May 19. Hyperspectral
remote sensing
Kurt Hellman, Bill Hines
Harris
AT, Asner GP, Miller ME 2003. Changes in vegetation structure after long-term
grazing in pinyon-juniper ecosystems: Integrating imaging spectroscopy and
field studies. ECOSYSTEMS 6 (4):
368-383.
Williams DJ, Rybicki NB, Lombana AV, et
al. 2003. Preliminary
investigation of submerged aquatic vegetation mapping using hyperspectral
remote sensing. ENVIRONMENTAL
MONITORING AND ASSESSMENT 81 (1-3): 383-392.
May 26. Slope aspect correction
Dara Zike, Shane Metcalf, Darrell Fuhriman
Sandmeier S, Itten KI 1997. A
physically-based model to correct atmospheric and illumination effects in
optical satellite data of rugged terrain. IEEE TRANSACTIONS ON GEOSCIENCE AND
REMOTE SENSING 35 (3): 708-717.
Shepherd
JD, Dymond JR 2003. Correcting satellite imagery for the varianace of
reflectance and illumination with topography. INTERNATIONAL JOURNAL OF REMOTE
SENSING 24 (17): 3503-3514.
Sun G,
Ranson K.J; Kharuk V.I. 2002. Radiometric Slope Correction for Forest Biomass
Estimation from SAR Data in the Western
Sayani Mountains,
Siberia. Remote Sensing of Environment
79(2-3): 279-287.
Levin,
N; Bendor, E; Karnieli, A. 2004. Topographic Information of Sand Dunes as
Extracted from Shading Effects Using Landsat Images. Remote Sensing of
Environment 90(2): 190-209.