Using classification and NDVI differencing methods for monitoring sparse vegetation coverage: A case study of saltcedar in Nevada, USA

International Journal of Remote Sensing

Volumn 29, Issue 14, 2008, Pages 3987-4011

  Pu, Ruiliang ^a   Gong, Peng ^b   Tian, Yong ^c   Miao, Xin ^d   Carruthers, Raymond I ^e   Anderson, Gerald L ^f  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF MASSACHUSETTS BOSTON   (United States)

^d MISSOURI STATE UNIVERSITY   (United States)

^e WESTERN REGIONAL RESEARCH CENTER   (United States)

^f AGRICULTURAL RESEARCH SERVICE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); INFRARED DEVICES; LINEAR REGRESSION; MAXIMUM LIKELIHOOD; PIXELS; PRINCIPAL COMPONENT ANALYSIS; VEGETATION;

CLASSIFICATION METHODS; CLASSIFICATION RESULTS; COMPACT AIRBORNE SPECTROGRAPHIC IMAGER; LINEAR REGRESSION MODELS; MAXIMUM LIKELIHOOD CLASSIFIERS; MULTI-TEMPORAL IMAGE; NORMALIZED DIFFERENCE VEGETATION INDEX; SPECTRAL NORMALIZATION;

IMAGE ENHANCEMENT;

COMPACT AIRBORNE SPECTROGRAPHIC IMAGER; DATA SET; DETECTION METHOD; IMAGE ANALYSIS; IMAGE CLASSIFICATION; MAPPING; MAXIMUM LIKELIHOOD ANALYSIS; NDVI; NUMERICAL MODEL; PIXEL; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; SPECTRAL ANALYSIS; TEMPORAL ANALYSIS;

EID: 46349097213     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160801908095     Document Type: Article

References (32)

1. Anderson, G. L., Carruthers, R. I., Ge, S. and Gong, P. (2004) Monitoring of invasive Tamarix distribution and effects of biological control with airborne hyperspectral remote sensing. International Journal of Remote Sensing, 26, pp. 2487-2489.
2. Chavez, P. S. (1988) An improved dark object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment, 24, pp. 459-479.
3. Collins, J. B. and Woodcock, C. E. (1996) An assessment of several linear change detection techniques for mapping forest mortality using multitemporal Landsat TM data. Remote Sensing of Environment, 56, pp. 66-77.
4. Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B. and Lambin, E. (2004) Digital change detection methods in ecosystem monitoring: A review. International Journal of Remote Sensing, 25, pp. 1565-1596.
5. Fraser, R. H., Li, Z. and Cihlar, J. (2000) Hotspot and NDVI differencing synergy (HANDS): A new technique for burnt area mapping. Remote Sensing of Environment, 74, pp. 362-376.
6. Fung, T. and LeDrew, E. (1987) Application of principal components analysis to change detection. Photogrammetric Engineering and Remote Sensing, 53, pp. 1649-1658.
7. Fung, T. and LeDrew, E. (1988) The determination of optimal threshold levels for change detection using various accuracy indices. Photogrammetric Engineering and Remote Sensing, 54, pp. 1449-1454.
8. Gong, P. (1993) Change detection using principal component analysis and fuzzy set theory. Canadian Journal of Remote Sensing, 19, pp. 22-29.
9. Gong, P. and Xu, B. (2003) Remote sensing of forests over time - change types, methods, and opportunities. Remote Sensing of Forest Environments: Concepts and Case Studies, pp. 301-333. Kluwer Academic Publishers, Hingham, MA
10. Gong, P., Ledrew, E. F. and Miller, J. R. (1992) Registration-noise reduction in difference images for change detection. International Journal of Remote Sensing, 13, pp. 773-779.
11. Gong, P., Pu, R. and Yu, B. (1997) Conifer species recognition: An exploratory analysis of in situ hyperspectral data. Remote Sensing of Environment, 62, pp. 189-200.
12. Hayes, D. J. and Sader, S. A. (2001) Comparison of change-detection techniques for monitoring tropical forest clearing and vegetation regrowth in a time series. Photogrammetric Engineering and Remote Sensing, 67, pp. 1067-1075.
13. Howarth, P. J. and Wickware, G. M. (1981) Procedures for change detection using Landsat. International Journal of Remote Sensing, 2, pp. 277-291.
14. Jackson, R. B., Banner, J. L., Jobbagy, E. G., Pockman, W. T. and Wall, D. H. (2002) Ecosystem carbon loss with woody plant invasion of grasslands. Nature, 418, pp. 623-626.
15. Jha, C. S. and Unni, N. V. W. (1994) Digital change detection of forest conversion of a dry tropical Indian forest region. International Journal of Remote Sensing, 15, pp. 2543-2552.
16. Lass, L. W., Thill, D. C., Shafii, B. and Prather, T. S. (2002) Detecting spotted knapweed (Centaurea maculosa) with hyperspectral remote sensing technology. Weed Technology, 16, pp. 426-432.
17. Liu, Y., Nishiyama, S. and Yano, T. (2004) Analysis of four change detection algorithms in bi-temporal space with a case study. International Journal of Remote Sensing, 25, pp. 2121-2139.
18. Lu, D., Mausel, P., Brondizio, E. and Moran, E. (2004) Change detection techniques. International Journal of Remote Sensing, 25, pp. 2365-2407.
19. Lyon, J. G., Yuan, D., Lunetta, R. S. and Elvidge, C. D. (1998) A change detection experiment using vegetation indices. Photogrammetric Engineering and Remote Sensing, 64, pp. 143-150.
20. Mack, R. N., Simberloff, D., Lonsdale, W. M., Evans, H., Clout, M. and Bazzaz, F. (2000) Biotic invasions: Causes, epidemiology, global consequences and control. Ecological Application, 10, pp. 689-710.
21. Mas, J. F. (1999) Monitoring land-cover change: A comparison of change detection techniques. International Journal of Remote Sensing, 20, pp. 139-152.
22. Miao, X., Gong, P., Swope, S., Pu, R., Carruthers, R., Anderson, G. L., Heaton, J. S. and Tracy, C. R. (2006) Estimation of yellow starthistle abundance through CASI-2 hyperspectral imagery using linear spectral mixture models. Remote Sensing of Environment, 101, pp. 329-341.
23. Michener, W. K. and Houhoulis, P. E. (1997) Detection of vegetation changes associated with extensive flooding in a forested ecosystem. Photogrammetric Engineering and Remote Sensing, 63, pp. 1363-1374.
24. Muchoney, D. M. and Haack, B. N. (1994) Change detection for monitoring forest defoliation. Photogrammetric Engineering and Remote Sensing, 60, pp. 1243-1251.
25. Prakash, A. and Gupta, R. P. (1998) Land-use mapping and change detection in a coal mining area - a case study in the Jharia coalfield, India. International Journal of Remote Sensing, 19, pp. 391-410.
26. Pu, R., Kelly, M., Anderson, G. L. and Gong, P. (2008) Using CASI hyperspectral imagery to detect mortality and vegetation stress associated with a new hardwood forest disease. Photogrammetric Engineering and Remote Sensing, 74, pp. 65-75.
27. Ridd, M. K. and Liu, J. (1998) A comparison of four algorithms for change detection in an urban environment. Remote Sensing of Environment, 63, pp. 95-100.
28. Singh, A. (1989) Digital change detection techniques using remote-sensed data. International Journal of Remote Sensing, 10, pp. 989-1003.
29. Song, C., Woodcock, C. E., Seto, K. C., Lenney, M. P. and Macomber, S. A. (2001) Classification and change detection using Landsat TM data: when and how to correct atmospheric effects?. Remote Sensing of Environment, 75, pp. 230-244.
30. Underwood, E., Ustin, S. and DiPietro, D. (2003) Mapping nonnative plants using hyperspectral imagery. Remote Sensing of Environment, 86, pp. 150-161.
31. Ustin, S. L., Scheer, G., DiPietro, D., Underwood, E. and Olmstead, K. (2001) Hyperspectral remote sensing for invasive species detection and mapping. Abstracts of Papers of the American Chemical Society, 221, p. U50.
32. van Aardt, J. A. N. and Wynne, R. H. (2001) Spectral separability among six southern tree species. Photogrammetric Engineering and Remote Sensing, 67, pp. 1367-1375.