This article introduced mainly the things of using cohour infrared aerial photo to survey the urban landuse situation in Chongqing and discussed in great detail the method and the mark of interpretation of urban landuseclassification, in this work, the urban landuse area and its current situational distribution have been found out, on the basis of this, we analysed and discussed the characteristic of Chongqing urban landuse and point out the problem of urban landuse.

The boundary between North China platform's North margin and XinganNei Mongol fold system,is a deep and great fault zone, which is the kind of boundary between the largest geotectonic units on the Earth Surface.The authors interpreted the landsat TMimages of an area of 4×10⁵ km² of this zone, referred to gravity and air-magnetic survey and other related geological data, and took into consideration their previous field surveys of different parts of the zone, thus got some new understanding about the stretch position,Nature and ore control of this fault zone.

Landsat Thematic Mapper data were processed to estimate the biomass of Cyanophyta in Lake Meiliang, a gulf in the northern part of Lako Taihu. In the summer of 1992, on-the-spot sampling was taken in the gulf on the date of the overpass of Landsat-5 for 16 carefully selected sites to obtain chlorophyll-a and phytoplankton concentrations. With the ground truth data and Thematic Mapper images,two regression models were established between chlorophyll-a and DVI (Differential Vegetation lndex) and between Cyanophyta concentration and DVI. The regression models were the basis of the techniques of mapping the spatial distribution of chlorophyll-a or Cyanophyta concentration and integrating the whole pixels to estimate the total amount of chlorophyll-a and Cyanophyta.It was estimated that the lake contained 2133 kilograms of chlorophyll-a, or 178.2 tones in terms of Chynophyta.

It is an important subject to monitor and assess forest resource quality.This not only relates to forest industry, but also affects regional environment and continuable development.This paper quantatively probes into the feasibility of mapping and assessing forest defoliation by remote sensing data, and indicates there is some correlative relation between the TM5/TM4 ratio and needle loss percentage. The nonlinear relation between the defoliation and TM5/TM4 ratio is established by using nonparametric smoothing weight method and it is compared with linear relation. Powerful numericai results are provided to search for the best remote sensing parameter discriminating needle loss percentage. It is concluded that Logist curve is suitable for describing forest strecture change caused by defoliation.

Based on the fact that the essential factor of time-space distribution and metallognesis of Yunnan, tin deposits is tin-forming granite,and the granites and tin deposits are located by tectogenesis, the authors apply the tin metallogenic theory and the concepts of granite grade system, ore-forming structure system and the mineralization unit of deposits distribution to the research on the remote sensing geological model for tin deposits. Through the comprehensire analysis on remote sensing images, geology, ore deposits, geochemical and geophysical information of the tin mineraliztion concentrating area, the tinbearing remote sensing images are identified.Based on these images the author sum up the comprehensive imformation feature of remote sensing geology and the marks of tin-bearing remote sensing images. The romote sensing geological prospecting model has been setted.Taking the feature of remote sensing image as the trace of recognizing tin-bearing image,combining the image information with geologic environment,and carrying out the comprehensive identification of geoscientific information,all those are the important ways of recognizing the marks of tin-bearing images.The serial models of remote sensing geological prospecting for tin deposits in Yunnan involve the tin-bearing general feature model, deposit locating optimum model and image-geology identification program model.

The energy of electromagnetic radiation which is accepted by most detectors using as Remote Sensing comes mainly from the reflection of the earth surface to solar radiation energy.This reflection is related to the relative positions between the sun and the earth. Then the solar angles which represent the relative positions is quite important in the research of Remote Sensing.This paper gives a detailed and whole method for calculating the solar angles, such as solar right ascension, solar declination, solar hour angle,solar vertical angle, solar zenith angle, and so on.The main idea for the method depends on the theory and method of celestial mechanics. At first, it is neccessary solving six elements of orbit argument of perigee of mean spring equinox (ω), mean anomaly (M), eccentricity (e), major axis of orbit (α), mean obliquity (i) ,and right ascension of ascending node(Ω), Then mean solar right ascension and mean solar declination are gained by solving Kepler eqduation on the basis of the six elements of orbit. True solar right ascension and true solar declination are computed by correcting nutations and precessions of mean solar right ascension and mean solar declination. The calculating of solar hour angle is that the sidereal time is firstly computed, and then the sidereal time minus solar right ascension is solar hour angle. The formula for computing solar vertical angle (h) is sin (h)=sin (δ)×sin+ cos (δ)×cos×cos (t) given solar declination (δ), solar hour angle (t), and the latitude of earth surface . Finally, ninety degrees minus solar vertical angles solar zenith angle.At last in the paper, there are some examples about the application of these solar angles on the research of Remote Sensing.

Xianshuihe active fault zone is situated in the northwest plateau rogion of Sichuan province, one of the major problems is,when study Xianshuihe active fault zone using TMimages,that flake snow often appears in TMimages,fakesnow affect the effective display of the useful geological information, This paper mainly discuss how we make use of digital image processing technology to restrain the influence of snow flake and to extract the information of active fault zone.