Remote-Sensing Technologies and Data Processing Algorithms - New Ecoinformatics Tools in Environmental Science: Applications and Decision-making - page 171

sð f ; z m Þ ¼2 Z

H

z Þð R þ z Þ dz
ð R þ z Þ

cð t ;

q ;

2 2

ð R þ z m Þ

z m

where cient, f is the sensing frequency, z is the height,

z m is the minimal distance of trace from Earth

ʳ is the gas absorption coef

is radius, H is
the height of satellites orbits. A possibility of passive sensing of ClO, for instance,
is de

' is surface, R is the Earth '

ned by the expression for the limb brightness temperature:

z m Þ ¼2 Z

H

z Þð R þ z Þ
ð R þ z Þ

T ð z Þcð f ;

q

T j ð f ; Q 1 ð z Þþ Q 2 ð z Þ ½ dz ;

2 2

ð R þ z m Þ

z m

where

0 1

Z

H

n
ð R þ nÞ

cð f ; nÞð R þ nÞ d

@ A;

Q 1 ð z Þ ¼0 : 5exp q

2 2

ð R þ z m Þ

z

0 1

Z

H

n
ð R þ nÞ

cð f ; nÞ d

@ A

Q 2 ð z Þ ¼0 : 5exp sð f ; z m Þþ q

2 2

ð R þ z m Þ

z

The radio-trauslusense method with using two satellites at frequencies of strong
gas absorption lines proves to be effective approach to the ozone layer characteristic
measuring (Strelkov 1995; Yakovlev 2001; Yakovlev et al. 2009). Enhancement of
this method is given by Yakovlev et al. (2009). Radio-eclipsing method of the Earth
sensing is proposed. Principal scheme of this method is characterized in Fig. 2.25 .

Fig. 2.25 Schematic diagram of global monitoring system based on the radio translusense method