Land use change detection based on remote sensing classification and pixel comparison: a case study

Xue Zhang; Xiaohua Tong; Miaolong Liu

doi:10.1117/12.812719

5 November 2008 Land use change detection based on remote sensing classification and pixel comparison: a case study

Xue Zhang, Xiaohua Tong, Miaolong Liu

Proceedings Volume 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics; 71440R (2008) https://doi.org/10.1117/12.812719
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

In this paper, land use changes were studied based on remote sensing classification and comparison of overlapping pixels methods in Jiading district of Shanghai from 1989 to 2006. Multi-source data including four epochs of representative TM images (in years of 1989, 1995, 2001 and 2006) and the vector topographic map were used in our study. Land use classes were first extracted by remote sensing classification after the image preprocessing such as geometric correction and registration, and a change detection method by comparing the pixels in overlapping images was then presented. Based on the classification results of land use classes with four epochs of TM images, the changes of land uses in three time intervals that 1989-1995, 1995-2001 and 2001-2006 were therefore detected by the detection method, and the conversion process of land uses classes for nearly 20 years was further analyzed in the study area. The conclusion was finally made that the continuous construction of building, road and greenbelt in Jiading district in past decades costs the expenses on a lot of cropland, forest and orchard land.

Citation Download Citation

Xue Zhang, Xiaohua Tong, and Miaolong Liu "Land use change detection based on remote sensing classification and pixel comparison: a case study", Proc. SPIE 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, 71440R (5 November 2008); https://doi.org/10.1117/12.812719

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KEYWORDS

Remote sensing

Image classification

Roads

Image processing

Matrices

Image registration

Environmental sensing

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