Title :
Landuse classification, mapping in large area using of high resolution satellite data, and GIS
Author_Institution :
Dept. of State, Tehran, Iran
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;
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
DOI :
10.1109/IGARSS.1993.322186
