Full text: Resource and environmental monitoring (A)

   
    
  
  
   
   
  
    
   
  
  
   
    
    
    
   
  
  
  
    
  
  
    
    
    
    
  
   
  
   
   
    
  
   
    
     
   
    
  
   
  
   
  
    
  
    
   
  
  
   
  
    
   
    
   
   
  
   
  
     
The calibration of 
dard. The panel has 
very high spectral 
height of about one 
rea with a diameter 
value of ratio index 
measurements were 
Veasurements were 
rocks, water bodies, 
NDI and Spectral 
ious terrain surfaces 
in Table 5.,6.7. The 
e compared directly 
This is because the 
e constituents of the 
int between the two 
snow. This clearly 
| and identify snow 
igher. However, for 
ratio indices could 
er bodies and snow 
spectral reflectances. 
es would help as an 
ninate between snow 
s satisfactorily in the 
X (RI) 
M TYPICAL 
0.55 
0.71 
0.88 
13.20 
  
  
  
  
  
  
  
38.50 
  
us terrain surfaces in 
RENCE INDEX 
JM _ TYPICAL 
- 0.30 
- 0.17 
- 0.10 
0. 80 
  
  
  
  
  
0.93 
  
  
  
ous terrain surfaces in 
  
  
  
  
  
  
  
IAPRS & SIS, Vol.34, Part 7, “Resource and Environmental Monitoring”, Hyderabad, India,2002 
  
  
Target Spectral Reflectance (%) 
Minimum Maximum Typical 
(0550 (91625 |@550 |@1625 |@550 |@1625 
Soil 6 15 30 37 20 25 
Sand 20 30 27 39 24 40 
Rocks | 11 20 30 28 28 22 
Water | 3 0.09 S 1 4 0.5 
Bodies 
Snow | 47 0.8 99 S 80 1:3 
  
  
  
  
  
  
  
  
Table 7. Range of measured Spectral Reflectances for various 
terrain surfaces in the Himalaya region. 
8. FUTURE SCOPE, UTILITY AND APPLICATIONS 
At present, the instrument is designed with the bands useful for 
snow and glacial studies. The instrument has flexibility to 
incorporate any two spectral bands in the range from 400 to 
1800 nm. Hence with proper selection of spectral bands it is 
possible to use the instrument to generate databases of spectral 
reflectances, spectral radiance, and to obtain spectral indexes 
for other applications such as agricultural, geological, 
atmospheric etc. This information will be ultimately useful for 
satellite image analysis and interpretation. 
The instrument with proper spectral bands would be also 
helpful for on-board calibration of various satellite sensors like 
IRS, TM, INSAT etc., by collecting concurrent radiometric data 
at multiple sites and over different terrain with these units. 
9. SUMMARY AND CONCLUSIONS 
A portable, battery operated field instrument, Ratio Radiometer, 
has been indigenously designed and developed for various 
remote sensing applications. The instrument simultaneously 
produces two outputs in two different wavelength bands. The 
instrument is useful for "in-situ" measurements of spectral 
reflectance with respect to standard reflectance panel and 
spectral radiance. 
The present model has been developed for snow and glacial 
applications. Two spectral bands with central wavelengths 550 
nm and 1625 have been incorporated in this model to derive 
snow indices. The instrument is being used to collect 
radiometric data, which would be useful for analysis and 
interpretation of satellite imagery for snow monitoring/ 
mapping. It has been found that it works satisfactorily under the 
typical environmental conditions of Himalayas. The field data 
obtained with the instrument is found to be encouraging. The 
ratio index along with the values of spectral reflectances would 
be useful to classify/identity snow packs and their conditions. 
The instrument has flexibility in incorporating any two spectral 
bands in the range from 400 nm to 1800 nm. Hence with 
proper selection of spectral bands, the instrument has capability 
to tune it for any specific remote sensing application. 
Consequently, the instrument becomes versatile to use it for 
various other applications of remote sensing. 
Its specially designed software processes the data for offset 
correction and temperature correction and also compute the 
spectral indices viz. ratio index and normalized difference 
index. The database of these measurements along with spectral 
indices would subsequently be used to classify, identity various 
terrain surfaces and to develop suitable spectral indices such as 
ratio index, normalized difference index, etc. for the 
interpretation and analysis of satellite images for any desired 
applications of remote sensing. 
Acknowledgements 
The author gratefully acknowledges Mr. A. S. Kiran Kumar, 
Group Director, EOSG/SEDA, Mrs. Gunbala Navlakha, Head, 
SFSD/EOSG/SEDA and DR. S. R. Nayak Head 
MWRD/RESA for their support and comments on this work 
and manuscript. The encouragement, logistic as well as ground 
measurements support provided by Gen. (Retd) S. S. Sharma, 
Director, Mr. Amod Kumar, Scientist, SASE, Chandigarh, is 
greatly acknowledged. Mr. P. Narayanbabu, Scientist, 
SFSD/EOSG/SEDA is kindly thanked for his help in software 
development. The author gratefully acknowledges Dr. V. D. 
Mishra, Scientist SASE, Chandigarh his participation in field 
data collection. 
References 
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