Evaluating principal components analysis for identifying Optimal bands using wetland hyperspectral measurements from the Great Lakes, USA

Remote Sensing

Volumn 1, Issue 3, 2009, Pages 408-417

  Torbick, Nathan ^a   Becker, Brian ^b  

^a Applied Geosolutions   (United States)

^b CENTRAL MICHIGAN UNIVERSITY   (United States)

Author keywords

Great lakes; Hyperspectral; Invasives; Optimal bands; Principal components analysis; Wetlands

Indexed keywords

GREAT LAKES; HYPERSPECTRAL; INVASIVES; OPTIMAL BANDS; PRINCIPAL COMPONENTS ANALYSIS;

DATA REDUCTION; LAKES; OPTIMIZATION; REMOTE SENSING; WETLANDS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 77952875767     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs1030408     Document Type: Article

References (11)

1. Schmidt, K.; Skidmore, A. Spectral discrimination of vegetation types in a coastal wetland. Remote Sens. Environ. 2003, 85, 92-108.
2. Becker, B.; Lusch, D.; Qi, J. Identifying optimal spectral bands from in situ measurements of great Lakes coastal wetlands using second derivative analysis. Remote Sens. Environ. 2005, 97, 238-248.
3. Becker, B.L.; Lusch, D.P.; Qi, J. A classification-based assessment of the optimal spectral and spatial resolutions of coastal wetland imagery. Remote Sens. Environ. 2007, 108, 111-120.
4. Torbick, N.; Becker, B. Characterizing field-level hyperspectral measurements for identifying wetland invasive plant species. In Invasive Species: Detection, Impact and Control Editors; Wilcox, C.P., Turpin, R.B., Eds; Nova Science Publishers: New York, NY, USA, 2009; pp. 97-115.
5. Campbell, J. Introduction to Remote Sensing. Guilford Press: New York, NY, USA, 2007.
6. Lillesand, T.; Kiefer, R.; Chipman, J. Remote Sensing and Image Interpretation. John Wiley & Sons: New York, NY, USA, 2004.
7. Holden, H.; LeDrew, E. Spectral discrimination of healthy and non-healthy corals based on cluster analysis, principal components analysis and derivative spectroscopy. Remote Sens. Environ. 1998, 65, 217-224.
8. Zhao, G.; Maclean, L. A comparison of canonical discriminant analysis and principal component analysis for spectral transformation. Photogramm. Eng. Remote Sens. 2000, 66, 841-847.
9. Schaepman-Strub, G.; Schaepmen, M.; Painter, T.; Dangel, S.; Martonchik, J. Reflectance quantities in optical remote sensing - definitions and case studies. Remote Sens. Environ. 2006, 103, 27-42.
10. Davis, J.; Statistics and Data Analysis in Geology. John Wiley & Sons: New York, NY, USA, 1986.
11. Rummel, R.J. Applied Factor Analysis. Northwestern University Press: Evanston, IL, USA, 1970.