Extraction of urban built-up land features from landsat imagery using a thematic-oriented index combination technique

Photogrammetric Engineering and Remote Sensing

Volumn 73, Issue 12, 2007, Pages 1381-1391

  Xu, Hanqiu ^a  

^a FUZHOU UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; DATA ACQUISITION; IMAGE SENSORS; RELIABILITY ANALYSIS; SPECTRUM ANALYSIS; VEGETATION;

DIFFERENCE BUILT-UP INDEX (NDBI); ENHANCED THEMATIC MAPPER PLUS (ETM+); LANDSAT IMAGERY; LANDSAT THEMATIC MAPPER (TM); MODIFIED NORMALIZED DIFFERENCE WATER INDEX (MNDWI);

SATELLITE GROUND STATIONS;

INDEX METHOD; LAND USE; LANDSAT; MULTISPECTRAL IMAGE; NDVI; PRINCIPAL COMPONENT ANALYSIS; SATELLITE IMAGERY; THEMATIC MAPPING; URBAN DESIGN;

ASIA; CHINA; EURASIA; FAR EAST;

EID: 36749021061     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.73.12.1381     Document Type: Article

References (18)

1. Anderson, J.R., E.E. Hardy, J.T. Roach, and R.E. Witmer, 1976. A Land Use and Land Cover Classification System for Use with Remote Sensor Data, USGS Professional Paper 964, Reston, Virginia.
2. Cibula, W.G., E.F. Zetka, and D.L. Rickman, 1992. Response of thematic bands to plant water stress, International Journal of Remote Sensing, 13(10):1869-1880.
3. Gao, B.C., 1996. NDWI - A normalized difference water index for remote sensing of vegetation liquid water from space, Remote Sensing of Environment, 58(3):257-266.
4. Guindon, B., Y. Zhang, and C. Dillabaugh, 2004. Landsat urban mapping based on a combined spectral-Spatial methodology, Remote Sensing of Environment, 92(2):218-232.
5. Huete, A.R., 1988. A soil-adjusted vegetation index (SAVI), Remote Sensing of Environment, 25(3):295-309.
6. Jensen, J.R., 2000. Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall, Upper Saddle River, New Jersey, 544 p.
7. McFeeters, S.K., 1996. The use of normalized difference water index (NDWI) in the delineation of open water features, International Journal of Remote Sensing, 17(7):1425-1432.
8. Masek, J.G., F.E. Lindsay, and S.N. Goward, 2000. Dynamics of urban growth in the Washington DC metropolitan area, 1973-1996, from Landsat observations, International Journal of Remote Sensing, 21(18):3473-3486.
9. Ray, T.W., 1994. Vegetation in remote sensing FAQs, Applications, ER Mapper, Ltd., Perth, unpaginated CD-ROM.
10. Ridd, M.K., 1995. Exploring a VIS (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing: Comparative anatomy for cities, International Journal of Remote Sensing, 16(12):2165-2185.
11. Song, C., C.E. Woodcock, K.C. Seto, M. Pax-Lenney, and S.A. Macomber, 2001. Classification and change detection using Landsat TM data-When and how to correct atmospheric effects?, Remote Sensing of Environment, 75(2):230-244.
12. Wu, H., J. Jiang, J. Zhou, H. Zhang, L. Zhang, and L. Ai, 2005. Dynamics of urban expansion in Xi'an City using Landsat TM/ETM+ data, Acta Geographica Sinica, 60(1):143-150.
13. Xian, G., and M. Crane, 2005. Assessment of urban growth in the Tampa Bay watershed using remote sensing data, Remote Sensing of Environment, 97(2):203-205.
14. Xu, H., X. Wang, and G. Xiao, 2000. A remote sensing and GIS integrated study on urbanization with its impact on arable lands: Fuqing City, Fujian Province, China, Land Degradation & Development, 11(4):301-314.
15. Xu, H., 2002. Spatial expansion of urban/town in Fuqing and its driving force analysis, Remote Sensing Technology and Application, 17(2):86-92.
16. Xu, H., 2005. A study on information extraction of water body with the Modified Normalized Difference Water Index (MNDWI), Journal of Remote Sensing, 9(5):511-517.
17. Zha, Y., J. Gao, and S. Ni, 2003. Use of normalized difference built-up index in automatically mapping urban areas from TM imagery, International Journal of Remote Sensing, 24(3):583-594.
18. Zhang, Q., J. Wang, X. Peng, P. Gong, and P. Shi, 2002. Urban built-up land change detection with road density and spectral information from multi-temporal Landsat TM data, International Journal of Remote Sensing, 23(15):3057-3078.