The Khuzdar- Lasbela Pb- Zn metallogenic belt is part of the Tethyan metallogenic domain, and the Pb- Zn deposits in this belt belong to the sediment- hosted type including two main subtypes: the Mississippi valley- type (MVT) and the sedimentary exhalative (SEDEX) deposits. The Khuzdar- Lasbela Pb- Zn metallogenic belt and its relevant deposits are poorly documented to date, which limits research and mineral prospecting of the metallogenic belt. In this study, the Khuzdar- Lasbela Pb- Zn metallogenic belt was taken as the study area to explore a remote sensing mineral prospecting indicator for sediment- hosted Pb- Zn deposits. Firstly, different remote sensing imageries and image processing methods were selected. Secondly, the ore- controlling factors, reflectance spectral features of the samples, and image characteristics of typical deposits (Duddar and Gunga Pb- Zn deposit) and some mineralized points were synthetically analyzed. Finally, the remote sensing mineral prospecting indicator for the sediment- hosted Pb- Zn deposits was established, which could provide a feasible method for mineral prospecting in the Khuzdar- Lasbela metallogenic belt. Based on the indicator, 30 potential ore- hosting strata targets were delineated by using ETM and ASTER images. The distribution of these targets correlates with the occurrence of nearly all known Pb- Zn deposits and mineralized points in the study area. The potential ore- hosting strata are mainly distributed in the central and north parts and located in the Jurassic strata with the same trending angles. The mineralization targets are mostly hosted by the Jurassic Anjira Formation and the Loralai Formation. Moreover, the ZY- 1- 02D hyperspectral imagery and spectral angle mapper method were used to map the spatial distribution of mineralized strata using the image endmember spectra of a mineralized point as reference spectra. The extracted result from the ZY- 1- 02D image is consistent with the potential ore- hosting strata of the mineral prospecting indicator, which proved the feasibility of automatic detection of mineralized strata and mineral exploration using Chinese space borne hyperspectral imagery in this area.