The objective of the current work is to identify the Different Materials that represent theHyperspectral Image of NazletElSaman area,Giza,Egypt using spectral analysis and to proceed some survey works all over the investigated area..The study area is located in NazlatElsaman,Giza Governorate, Egypt bounded by longitude31 o 14- 37.7—and31o 06- 22.27—E ; latitude30o 25- 03.05-- and29o 33- 29.00-- N.Spectral analyses processes include 1-The reflectance calibration of Hyperspectral data belonging to the studied area, 2- Using the Minimum Noise Fraction (MNF) transformation.3-Creating the pixel purity index (PPI) which used as a mean of finding the most “spectrally pure”, extreme, pixel in hyperspectral images. Making conjunction between the Minimum Noise Fraction Transform (MNF) and Pixel Purity Index (PPI) tools through 3–D visualization offered capabilities to locate,identify and cluster the purest pixels and most extreme spectral responses in the data set. To identify the different materials, the extracted unknown spectrum of the purest pixels was matched to pre-defined (library) spectra providing score with respect to the library spectra. Three methods namely, Spectral Feature Fitting (SFF), Spectral Angle Mapper (SAM) and Binary Encoding (BE) were used to identify material type considering 0.0 and 1.0 as lower and higher scores respectively. The extracted materials with high score (1.0) of Binary Encoding method are represented by sand, water, field crops, building, roads and trees
Survey works were represented by Producing a detailed features map for the research area of coverage, designing a new map production information system and ensuring the integration of different surveying techniques.