The Chagai volcanic magmatic belt in Pakistan is an important part of the Tethyan metallogenic domain and is the most important porphyry copper belt in Pakistan. However, there are few remote sensing studies on the Chagai belt to date, which restricts the analysis of the ore- prospecting potential of the metallogenic belt. Therefore, the Saindak deposit and its surrounding areas were taken as the study area to explore the alteration characteristics and build a remote sensing ore- prospecting model for the porphyry Cu—Au deposits, which could provide reference for the subsequent ore- prospecting and mineral exploration in the Chagai porphyry copper belt. Methods: The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data was atmospherically corrected and converted to surface reflectance using the empirical line method by comparing with the Hyperion hyperspectral image. The data was then processed by Relative absorption band depth (RBD) ratio false color composite, principal component analysis (PCA), spectral angle mapper (SAM) to obtain the distribution characteristics of alteration minerals. The RBD8, RBD and RBD5 were selected to distinguish different lithology, structure and alteration zones. For the PCA, the band 1, 3, 4 and 6 were selected to extract the sericitization, the band 1, 3, 4 and 5 were used to extract the kaolinization, and the band 1, 3, 4 and 8 were adopted to extract the propylitization. For the SAM, the bands 4 to 8 were selected to compare with the five typical mineral spectra from JPL Spectral Library for spectral angle calculation.Results:Based on the study of alteration characteristics and main ore- controlling factors, the remote sensing prospecting model of Saindak deposit was established, and ore- prospecting prediction was carried out based on the model. 10 prospecting targets were delineated according to the established remote sensing prospecting model. The east orebody and two prospecting targets in the north of the mining pit were checked in the field for validation, and it was confirmed that the extracted results from remote sensing were in good agreement with the field validation and actual geological facts. The reflectance spectra of the rock samples from the Saindak deposit were measured using a portable spectroradiometer. The absorption features of the sample spectra are very comparable to that of mineral spectra selected from the standard spectral library, which confirms that the sericitization and porpylitization in the study area are intensely and extensively distributed. Conclusions:Through accurately atmospheric correction by hyperspectral image, multiple image processing methods comparison and verification, and comparison the sample spectra with the mineral spectra of the standard spectral library, the results show that the alteration minerals extracted in this study are highly reliable. The combination of these methods could improve the accuracy of the results and delimit the alternation anomalies accurately. The methodology and results could provide reference for the mineral exploration in the Chagai metallogenic belt.