Share Email Print

Proceedings Paper

Investigation of the methods of extracting information from IKONOS image in Qixia district of Nanjing land cover
Author(s): Badawi Rami; Xuezhi Feng
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Qixia District is located in the north east of Nanjing City in China. The most beautiful mountain in Nanjing is located in this district. The District serves communication of Nanjing city. There are a total of 70 ports and harbors of different types, Highways extend in all directions and radiate to all parts of Jiangsu Province (whereas Nanjing is the capital of Jiangsu). The Shanghai-Nanjing highway, Yangtze River Bridge of Nanjing passes through the District. The District is a major area with concentrated modern industry in Nanjing and has formed four pillar industries, such as medicine and electronics, machine manufacture, new building materials and petrochemistry. The District has more than 30 universities, colleges and research institutes within. Recently the IKONOS satellite is to collect images with one-meter resolution. There was a need to acquire high spatial resolution images to classify the land use and land cover in the urban sites. This district has agriculture and an important base of farming. There are historic sites of cultural. Four methods has been used to extract the information from IKONOS image, the texture algorithm for this test are represent the vegetation are depend on normalized differences and normalized difference vegetations indices NDVI the unsupervised classification has been adopted to calcified the land cover in Qixia district while a new equation used to eliminated the non -vegetation pixel depending on the reflectance spectrum of Items in the image. This investigation shows that the urban vegetation cover in this district is contributing to mitigate the climate and decrease the pollution. This study probably help Qixia District to rebuilt into a modern riverside new district with beautiful landscape, to give more favorable social environment and a more wealthy life for its people.

Paper Details

Date Published: 26 July 2007
PDF: 9 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67523J (26 July 2007); doi: 10.1117/12.761241
Show Author Affiliations
Badawi Rami, Nanjing Univ. (China)
Xuezhi Feng, Nanjing Univ. (China)

Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information
Weimin Ju; Shuhe Zhao, Editor(s)

© SPIE. Terms of Use
Back to Top