Use of logistic regression for validation of maps of the spatial distribution of vegetation species derived from high spatial resolution hyperspectral remotely sensed data

Ecological Modelling

Volumn 157, Issue 2-3, 2002, Pages 301-312

  Aspinall, Richard J ^a  

^a MONTANA STATE UNIVERSITY   (United States)

Author keywords

Accuracy assessment; Logistic regression; Vegetation species

Indexed keywords

ACCURACY ASSESSMENT; IMAGE ANALYSIS; REGRESSION; SPATIAL DISTRIBUTION; TREE; WOODY DEBRIS;

UNITED STATES;

POPULUS; RIPARIA;

EID: 0037202452     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-3800(02)00201-6     Document Type: Article

References (26)

1. Aspinall, R.J., Marcus, W.A., Boardman, J.W., 2002. Considerations in Collecting, Processing, and Analysing High Spatial Resolution, Hyperspectral Data for Environmental Investigations. Journal of Geographical Systems, 4 (1), 15-29.
2. Boardman, J.W., 1998. Leveraging the high dimensionality of AVIRIS data for improved sub-pixel target unmixing and rejection of false positives: Mixture Tuned Matched Filtering. AVIRIS 1998 Proceedings, JPL, California, p. 6. http://makalu.jpl.nasa.gov/docs/workshops/98_docs/8.pdf
3. Boardman, J.W., 1999. Precision geocoding of low altitude AVIRIS data: Lessons learned in 1998. AVIRIS 1999 Proceedings, JPL, California, p. 6. http://makalu.jpl.nasa.-gov/docs/workshops/99_docs/7.pdf
4. Boardman, J.W., Kruse, F.A., 1994. Automated spectral analysis: A geologic example using AVIRIS data, north Grapevine Mountains, Nevada. In: Proceedings, Tenth Thematic Conference on Geologic Remote Sensing. Environmental Research Institute of Michigan, Ann Arbor, MI, pp. 1407-1418.
5. Boardman, J.W., Kruse, F.A., Green, R.O., 1995. Mapping target signatures via partial unmixing of AVIRIS data. In: Summaries, Fifth JPL Airborne Earth Science Workshop, JPL Publication 95-1, 1:23-26.
6. Clark, R.N., Swayze, G.A., 1995, Mapping minerals, amorphous materials, environmental materials, vegetation, water, ice, and snow, and other materials: The USGS Tricorder Algorithm. In: Summaries of the Fifth Annual JPL Airborne Earth Science Workshop, JPL Publication 95-1, pp. 39-40.
7. Cocks, T., Jenssen, R., Stewart, A. Wilson, I., Shields, T., 1998. The HYMAP™ airborne hyperspectral sensor: The system, calibration and performance. Presented at the 1st EARSEL Workshop on Imaging Spectroscopy, Zurich, October 1998.
8. Cohen, J., 1960. A coefficient of agreement for nominal scales. Educational and Psychological Measurement 20 (1), 37-40.
9. Congalton, R.G., Green, K., 1999. Assessing the Accuracy of Remotely Sense Data: Principles and Practices. Lewis Publishers, New York, p. 137.
10. Despain, D.G., 1975. Field Key to the Flora of Yellowstone National Park. Yellowstone Library and Museum Association, Wyoming, p. 257.
11. Fleiss, J.L., 1981. Statistical Methods for Rates and Proportions, 2nd Edition. Wiley, New York, pp. 38-46.
12. Frescino, T.S., Edwards, T.C., Moisen, G.G., 2001. Modeling spatially explicit forest structural attributes using Generalized Additive Models. Journal of Vegetation Science 12 (1), 15-26.
13. Green, A.A., Berman, M., Switzer, P., Craig, M.D. 1988. A transformation for ordering multidimensional data in terms of image quality with implications for noise removal. IEEE Transactions on Geoscience and Remote Sensing 26 (1), 65-74.
14. Harsanyi, J.C., Chang, C.I., 1994. Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach. IEEE Transactions on Geoscience and Remote Sensing 32, 779-785.
15. Kruse, F.A., 1988. Use of Airborne Imaging Spectrometer data to map minerals associated with hydrothermally altered rocks in the northern Grapevine Mountains, Nevada and California. Remote Sensing of Environment 24 (1), 31-51.
16. Kruse, F.A., Lefkoff, A.B., Dietz, J.B., 1993. Expert System-based mineral mapping in northern Death Valley, California/Nevada using the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS). Remote Sensing of the Environment 44, 309-336.
17. Lillesand, T.M., Kiefer, R.W., 1999. Remote Sensing and Image Interpretation, 4th Edition. Wiley, New York, p. 736.
18. Loveland, T.R., 2000. The patterns and characteristics of global land cover. In: Hill, M.J., Aspinall, R.J. (Eds.), Spatial Information and Land Use Management. Gordon and Breach, Reading, pp. 13-24.
19. Marcus, W.A., Marston, R.A., Colvard Jr., C.R., Gray, R.D., 2002. Mapping the spatial and temporal distributions of large woody debris in rivers of the Greater Yellowstone Ecosystem, U.S.A. Geomorphology, 44 (3-4), 323-335.
20. Metz, C.E., 1978. Basic principles of ROC analysis. Seminars in Nuclear Medicine VIII (4), 283-299.
21. Meyer, G.A. (Ed.), 1995. Late Pleistocene-Holocene Evolution of the Northeastern Yellowstone Landscape. 1995 Field Conference Guidebook. Friends of the Late Pleistocene-Rocky Mountain Cell, p. 55.
22. Palacios-Oreuta, A.and, Ustin, S.L., 1996. Multivariate statistical analysis of soil spectra. Remote Sensing of the Environment 57, 108-118.
23. Story, M., Congalton, R., 1986. Accuracy assessment: A user's perspective. Photgrammetric Engineering and Remote Sensing 58 (9), 1343-1350.
24. Ustin, S.L., Smith, M.O., Jacquemoud, S., Verstraete, M.M., Govaerts, Y., 1999. Geobotany: Vegetation mapping in Earth Sciences. In: Rencz, A. (Ed.), Manual of Remote Sensing: For the Earth Sciences, vol. 3. American Society of Photogrammetry and Remote Sensing, Bethesda, Maryland, pp. 189-248.
25. Wright, A., Marcus, W.A., Aspinall, R.J., 2000. Applications and limitations of using multispectral digital imagery to map geomorphic stream units in a lower order stream. Geomorphology 33, 107-120.
26. Zweig, M.H., Campbell, G., 1993. Receiver-operating characteristic (ROC) plots: A fundamental evaluation tool in clinical medicine. Clinical Chemistry 39/4, 561-577.