Urban growth represents specific response to economic, demographic and environmental conditions. Rapid urbanization and industrializations have resulted in sharp land cover changes. The present investigation was carried out from Shaoxing City to quantify satellite-derived estimates of urban growth using a three-epoch time series Landsat TM data for the years 1984, 1997 and ETM 2000. The methodology used was based on post classification comparison. The use of GIS allowed spatial analysis of the data derived from remotely sensed images. Results showed that the built-up area surrounding Shaoxing City has expanded at an annual average of 7 km2. Analysis of the classified map showed that the physical growth of urban area is upsetting the other land cover classes such as farming, water resources, etc. The study conclusion mainly emphasized the need for sustainable urban capacity.
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Civco, D.L., Hurd, J.D., Wilson, E.H., Song, M., Zhang, Z., 2002. A Comparison of Land Use and Land Cover Change Detection Methods. ASPRS-ACSM Annual Conference and FIG XX11 congress, p 22–26.
Eastman, J.R., Fulk, M., 1993. Long sequence time series evaluation using standardized principal components. Photogrammetric Engineering and Remote Sensing, 59:1669–1694.
Fung, T., LeDrew, E., 1987. Application of principal components analysis for change detection. Photogrammetric Engineering and Remote Sensing, 53:1649–1658.
Gordon, S.I., 1980. Utilizing Landsat imagery to monitor land use change: a case study in Ohio. Remote Sensing Environment, 9:189–196.
Green, K., Kempka, D., Lackey, L., 1994. Using remote sensing to detect and monitor land cove and land use change. Photogrammetric Engineering and Remote Sensing, 60:331–337.
Haack, B., Bryant, N., Adams, S., 1987. Assessment of Landsat MSS and TM data for urban and near-urban landcover Digital Classification. Remote Sensing of Environment, 21:201–213.
Harris, P.M., Ventura, S.J., 1995. The integration of geographic data with remotely sensed imagery to improve classification in an urban area. Photogrammetric Engineering and Remote sensing, 61:993–998.
Howarth, J.P., Wickware, G.M., 1981. Procedure for change detection using Landsat digital data. International Journal of Remote Sensing, 2:277–291.
Jensen, J.R., 1996. Introductory Digital Image Processing—A Remote Sensing Perspective. 2nd edition. Prentice Hall, Englewood Cliffs, NJ.
Lacy, R., 1992. South Carolina finds economical way to update digital road data. GIS World, 5(10):58–60.
Lambin, E.F., 1996. Change detection at multiple scales: seasonal and annual variations in landscape variables. Photogrammetric Engineering and Remote Sensing, 62:931–938.
Lichtenegger, J., 1992. ERS-1: land use mapping and crop monitoring: a first close look to SAR data. Earth Observation Quarterly, (May–June):37–38.
Light, D., 1993. The national aerial photography program as a geographic information system resource. Photogrammetric Engineering and Remote Sensing, 59:61–65.
Malila, W.A., 1980. Change Vector Analysis: An Approach for Detecting Forest Changes with Landsat. Proceedings of the 6th Annual Symposium on Machine processing of Remotely Sensed Data. Purdue University Press, West Lafeyette, p. 326–335.
Martin, L.R.G., Howarth, P.J., Holder, G.H., 1988. Multispectral classification of land use at the rural-urban fringe using Spot data. Canadian Journal of Remote Sensing, 14:72–79.
Muchoney, D.M., Haack, B.N., 1994. Change detection for monitoring forest defoliation. Photogrammetric Engineering and Remote Sensing, 60:1243–1314.
Nelson, R.F., 1983. Detecting forest canopy change due to insect activity using land sat MSS. Photogrammetric Engineering and Remote Sensing, 49:1303–1314.
Roger, M.K., Charbonneau, L., 1988. Urbanization and landsat MSS albedo change in the Windsor-Quebec corridor since 1972. International Journal of Remote Sensing, 9:555–566.
Rutchey, K., Velcheck, L., 1994. Development of everglades vegetation map using a SPOT image and the Global Positioning System. Photogrammetric Engineering and Remote Sensing, 60:767–775.
Sailer, C.T., Eason, E.L.E., Brickey, J.L., 1997. Operational multispectral information extraction: the DLPO image interpretation program. Photogrammetric Engineering and Remote Sensing, 63:129–136.
Steffen, W.L., Walker, B.H., Ingram, J.S., Koch, G.W., 1992. Global Change and Terrestrial Ecosystems: The Operational Plan IGBP Report No. 21 International Geosphere-Biosphere Program, Stockholm.
Tateishi, R., Kajiwara, K., 1991. Global Lands Cover Monitoring by NOAA NDVI Data. Proceeding of International Workshop of Environmental Monitoring from Space. Taejon Korea, p. 37–48.
Toll, D.L., 1985. Landsat-4 Thematic Mapper scene Characteristic of suburban and rural area. Photogrammetric Engineering and Remote Sensing, 51:1471–1482.
Vitosek, P.M., Mooney, H.A., LuBcheneo, J., Melhao, J.M., 1997. Human Domination of Earth’s Ecosystems, 277:494–499.
Project (No. 20001500012021) supported by Ministry of Land Resources and Zhejiang Bureau of Land Resources, China
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Ramadan, E., Feng, Xz. & Cheng, Z. Satellite remote sensing for urban growth assessment in Shaoxing City, Zhejiang Province. J. Zheijang Univ.-Sci. 5, 1095–1101 (2004). https://doi.org/10.1631/jzus.2004.1095
- Change detection
- Post classification
- Urban growth