GIS-Driven Analysis of Remotely Sensed Data for Quality Assessment of Land Use / Land Cover ( LULC ) Classification

@inproceedings{PeledGISDrivenAO,
  title={GIS-Driven Analysis of Remotely Sensed Data for Quality Assessment of Land Use / Land Cover ( LULC ) Classification},
  author={Ammatzia Peled and Michael Gilichinsky}
}
The automatic integration of remotely sensed multi-spectral data into the process of spatial data bases maintenance is one of the key research issues of modern spatial data handling and analysis. National GIS systems contain large quantities of spatial and nominal information instances which demand constant maintenance and periodical updating. The maintenance operations of the Land-Use/Land-Cover (LULC) classification of the Israeli National GIS database are based on 1:40,000-scale air… CONTINUE READING