Landuse classification, mapping in large area using of high resolution satellite data, and GIS

Author

Ghiassi, Majid

Author_Institution

Dept. of State, Tehran, Iran

fYear

1993

fDate

18-21 Aug 1993

Firstpage

928

Abstract

Describes an image analysis method for the investigation of characteristic properties in area where landslides may occur. High resolution SPOT data of 1987 July of northwest of Iran were studied. Unsupervised classification techniques were used to identify different classes of agricultural lands. Multispectral bands were used in a maximum likelihood classification which produced seven classes. Also geometric correction and GIS techniques were applied to evaluate the location of the area. The results of this discrimination was good

Keywords

geographic information systems; geophysical techniques; image recognition; remote sensing; GIS; Iran; SPOT; agriculture; desert; geographic information system; high resolution satellite data; image analysis method; image classification; land use mapping; landslide; maximum likelihood; multispectral; optical remote sensing; technique measurement geophysical; terrain; unsupervised classification; vegetation; Agriculture; Data analysis; Digital images; Geographic Information Systems; Geology; Image analysis; Lakes; Remote sensing; Roads; Satellites;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International

Conference_Location

Tokyo

Print_ISBN

0-7803-1240-6

Type

conf

DOI

10.1109/IGARSS.1993.322186

Filename

322186