All flights were conducted from 300 m height, which 
corresponds to spatial resolution about 70% to flight 
height (H) for microwave and infrared radiometers and 
20% to H - for spectrometers. 
RESULTS AND DISCUSSION. 
Application of relatively narrow band (about 7% mean 
value of frequency) and tuned  radiometers 
accompanied with special software of microwave data 
filtration gives the possibility to obtain usable data on 
decimetre wavelengths in spite of radio frequency 
interference problems, which makes possible passive 
microwave radiometry application in the regions with 
high level of industry and communication systems 
development. 
The analysis of remote sensing and contact data 
comparison confirm the accuracy of remote sensing 
soil moisture equipment and software application. The 
error value is about 2 - 8 % in dependence of 
vegetation biomass (Figure 5). Remote sensing 
estimations were compered with general water content 
in 1 m layer too. The accuracy was about 50 - 80 mm 
in dependence of vegetation biomass (Figure 6). 
  
AW % 
10 
8 
  
ea 1 
5X 5 
  
  
  
Figure 5. The results of comparison between remote 
sensing estimations of surface soil moisture and contact 
data .; 1 - difference between mean values of Remote 
Sensing and contact data; 2 - difference between 
maximum and minimum values of contact data 
Belorussia test site. 
The state of aquatory of lakes Worthsee, Ammersee and 
Pilsensee (Bavaria) , agricultural fields at Minsk region 
(Belorussia) and the Northern and Southern parts of 
Ammersee lake, a number of regions in Northern Alps 
was analysed by means of remote sensing. Some 
natural objects were studied two times during slow 
drying. One of the problem to study was estimation of 
space distribution of the water pollution intensity, 
where variations of chlorophyll "A" concentration were 
the indices of it. The example of chlorofill “A” remote 
414 
sensing determination on the aquatory of Ammersee 
lake (Bavaria, Germany) is presented on Figure 7. 
  
AM, mm 
140 
110 
80 
50 
20 
  
=~ 
zz 1 
  
  
  
Figure 6. The results of comparison between remote 
sensing estimations of water content in 1 m layer and 
contact data. 1 - difference between mean values of 
Remote Sensing and contact data; 2 - difference 
between maximum and minimum values of contact 
data. Belorussia test site. 
  
  
  
Figure 7. The Example of Chlorofill “A” Remote 
Sensing Determination of Ammersee lake. Bavaria, 
Germany. Relative Units. 
Due to special algorithm, realised in spectrometers by 
Dr. A. Gitelson and his colleagues the output signal 
variations are proportional chlorophyll "A 
concentration variations. For exact estimations it 
necessary to measure chlorophyll concentration in two 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B7. Vienna 1996