Research Journal of Applied Sciences

Year: 2008
Volume: 3
Issue: 2
Page No. 90 - 94

Land Cover Change Detection Using Supervised Classification Method of Wuhan in 1991 and 2002

Authors : Lassana Ballo , Hu Guangdao , Wen Xingping and Yu Xinbing

Abstract: An image of a big city such as Wuhan can best be represented by a model. The image we propose to analyze here is a raster data covering a small part of this big city of China in Hubei Province. We use two times satellite images (1991 and 2002) to examine urban change over that period. To give our study a concrete form, we need classification methods using ER MAPPER software. Finally the result we need to reach is to obtain the impact of the different and main features spreading in the urban area of Wuhan.

How to cite this article:

Lassana Ballo , Hu Guangdao , Wen Xingping and Yu Xinbing , 2008. Land Cover Change Detection Using Supervised Classification Method of Wuhan in 1991 and 2002. Research Journal of Applied Sciences, 3: 90-94.

Design and power by Medwell Web Development Team. © Medwell Publishing 2022 All Rights Reserved