Authors applied the principal component integretion of different band radio images to enhancing hydro-thermal alteration information and developed a new method for extracting mineralized information from Landsat TM data in volcanic rock area covered by vegetation, moist subtropical zone. On trial, great successes have been achived in Bamao Au and Ag multimetal mineralized area, Xinchang County, east Zhejiang province. Not only are the known altered zones in the mineralized area displayed effectively, but also several unknown hydrothermal altered zones, silicified quartz veins, ore-ccontro- lling structures and volcanic apparatuses, which are very useful for mineral prospecting, are revealed here.
How to use aerial photographs and their group samping method with the aid of computer statistic calculation and supplementary mapping to achieve the dynamic study for land resources was introduced in this paper. To take the land resources investigation in Sanchuan River valley in Shanxi Province demonstrated land resources dynamic variation in the last 23 years in this area.
In this paper a new digital processing scheme of data combination for BI (bright index), VI (vegetation index) and TM5 which are valuable to identify the land types and can reflect the major information characteristics of TM data, Such as brightness. green level, humidity etc. is suggested, and a method to compile the 1:50,000 landuse map using the data and images Processed hi the scheme is introduced. Comparing the results of automatic classification by computer with visual interpretation, a comprehensive evaluation of remote sensing research for landuse is also made in the paper.