Full text: Resource and environmental monitoring (A)

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IAPRS & SIS, Vol.34, Part 7, “Resource and Environmental Monitoring”, Hyäerabad, India, 2002 
3. BASIS OF THE METHODOLOGY 
The dielectric constant of mixture of soil and water that can 
vary from 3 (for very dry soil) to 35 (for very wet soils) 
depends upon the total surface area of the soil particles present 
in a unit volume. The soil texture gives information of the 
surface area of soil particles in a unit volume, which in turn 
indicates the amount of 
Figure 
1. 
dx 
c 
(Field capacity) 
Soil moisture at 1/3 bar 
     
  
   
  
    
C 
ta 
ta 
Ba 
ry 
e 
Soil moisture at 15 bar 
(Wilting point) 
oo 
Unavailable water 
Volumetric Soil Moisture (94) 
  
© 
  
Sand Sandy Loam Sit Clay Clay 
loam loam loam 
Fineness of texture > 
Variation of available water with soil texture (modified drawing 
from Brady, 1995) 
free water molecules in the soil. This calls for defining a 
parameter that represent that part of soil moisture which relate 
to the physical interaction process that takes place between 
microwave signal and the soil water mixture. Thus one can not 
overlook the effect of soil texture, which governs the surface 
area of soil particles and thus the amount of free water in a 
given soil water mixture while developing the models to 
retrieve soil moisture information. 
Since the transition point between bound water and free water 
is based on an arbitrary criterion, it is thought to represent soil 
moisture in terms of percentage of available water for different 
soil textures as shown in Figure 1. In this paper an attempt has 
been made to include the effect of soil texture in the soil 
moisture retrieval model by representing the soil moisture in a 
more realistic term that would relate to the possible amount of 
free water in a given soil water mixture. The difference 
between the amount of soil moisture at 15 bar and 1/3 bar 
pressure represent the water that is available to the plant 
(Brady, 1995). Thus soil moisture in terms of percentage of 
available water appears to be an appropriate representative of 
the amount of free water molecule in a given soil water 
mixture. Equation 1 gives the soil moisture represented in terms 
of percentage of available water. 
SM % 4.w. — (SM oss * 100) / (SM 1/3bar— SM 15bar) (1) 
where SM Aw. — Soil moisture in percentage of available 
water 
SM ops = Observed soil moisture from field 
SM jp, = Soil moisture at field capacity 
SM 15bar = Soil moisture at wilting point 
721 
(SM i54, — SM 15bar) = available water 
4. DATA SET AND STUDY AREA 
In order to validate the above concept, Extended Low-1 beam 
mode RADARSAT-1 SAR data has been acquired on 13- 
March-1999 over parts of Agra, Mathura (U.P.) and Bharatpur 
(Rajasthan) districts. Large coverage of RADARSAT-1 EL1 
image (170 X 170 Km?) provided data over a variety of soil 
texture write from very fine to vary course. The RADARSAT-1 
has a C-band SAR sensor with HH polarization. It operates 
under a variety of viewing mode with varying spatial and 
radiometric resolutions (RSI, 2000). Details of RADARSAT-1 
EL1 beam mode digital data is given in Table 1. 
  
  
  
  
  
  
  
  
  
  
  
  
Beam mode & position Extended Low -1 
Date of Pass 13-March-1999 
Incidence angle 10° - 23° 
Nominal resolution 35 meters 
Nominal coverage 170 X 170 Km? 
Number of looks 1X4 
Look direction Ascending 
Orbit Number 17507 
Product type Path image 
Data format CEOS 
Number of lines 12837 
Number of pixels 13556 
  
  
  
  
Number of bits per pixel 16 bits unsigned 
  
Table 1. Details of RADARSAT-1 ELI digital data 
In addition to SAR data, two SAT (Shift along track) scenes of 
IRS L-III with P/R 96/52,53 (dated 08-March-99) and P/R 
97/52,53 (dated 05-March-99) were also used. Spectral bands 
for IRS L-III are Green (0.52-0.59u), Red (0.62-0.68u), Infra 
red (0.77-0.86u) and Short wave Infrared (1.55-1.70p). Besides 
the optical and microwave digital data, 1:50,000 scale SOI 
topographic maps were also used for ground truth planning, 
distric/block boundaries and identification of ground control 
points on to the image. 
The study area is mainly a flat level terrain dominated by 
agricultural land, covering irrigated as well as un-irrigated land. 
Major crops during Rabi season were Mustard and wheat. 
During data acquisition in middle of the March 1999, most of 
the mustard fields were harvested and rest fields were under 
ripened stage whereas wheat was under grain filling stage. 
Other land covers categories like habitation, water bodies and 
forest plantation were also present in this study area. 
5. DATA ANALYSIS / METHODOLOGY 
Following are the major steps involved in the data analysis / 
methodology: 
5.1 Reconnaissance survey and sampling location selection 
Selection of sampling locations for ground truth data collection 
including in-situ soil moisture measurements. Sampling 
locations were selected carefully after reconnaissance field 
survey. Sampling locations were selected near the ground 
control points. Enough care was taken regarding homogeneity 
 
	        
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