IAPRS & SIS, Vol.34, Part 7, "Resource and Environmental Monitoring", Hyderabad, India,2002 
  
  
Study Area: Chikalthana Study area: Parbhani 
Steep hill with 
reserved forest 
Yieldari 
Reservoir 
Purna River 
  
  
Ohar reservoir 
  
  
   
  
  
  
  
Aurangabad city. ; xut : 
Kaum river belt : 
Satara hill 
  
$-Sukna reservoir 
- Sukna river 
Parbhani City : 
Figurel. IRS 1A LISS-I 234 Band data , Year 1989 
siddheswar 
Reservoir 
Purna Canal 
; Basmath 
Ba Crop belt 
  
  
  
respectively. The climate of the area is normally dry throughout 
the year, except a very short spell of wet SW-monsoon between 
July and September. It receives 80% of annual rainfall during 
wet SW-monsoon. The rock out crops of Western Ghats with 
pediments are gradually decreased from north-west to south- 
east. The residual soil deposits are derived from Deccan trap. It 
is black and greyish in colour. In Purna tributary the soils are 
deep and fertile. The area mainly consists arable land. The 
study area is situated at leeward side of Western Ghats. The 
principal crops of the study area are Bajra, Jowar, sunflower 
and Groundnut. The main drought resistant crop is Sorghum. 
The dry seasonal crop is locally called as Rabi crop. Rabi crop 
is exclusively dependent on irrigation over the area whereas 
water storage mainly occurs during preceded South-West 
monsoon. The major irrigation over the selected agro land is 
through reservoirs or tanks. The present study is carried out 
during summer which is enriched by rabi crop(Figure 1). 
  
  
  
  
  
  
  
  
  
Table-1.Comparative brief of two sets of temporal data 
  
and it’s deficit are assumed to have impact on each land 
entity over individual area. 
The physical study on each pixel of a satellite data demarcates 
the area into three major land resource classes: water body, 
crop/vegetated land and others. The built-up land, rock-out- 
crop, fallow land, scrub land and eroded land are incorporated 
in the category of others to bring a simplest approach to build 
ILU&LCC. As the study area is a water scarcity zone the water 
resource is prioritized as primary resource land type, cropped 
or vegetated land as secondary land type and others as tertiary 
land type. It’s temporal changes are evaluated using conditional 
classifier where both prioritization of land use/land cover and 
pixel radiance values take part into building logic. It is further 
categorized into seven degree of tendency (Figure 2). 
The land’s instability is assessed through a statistical approach 
by deriving variance per pixel(V;), smallest land unit(table-2). 
Two sets of 4 band data have been used and mean variance over 
Area | Parameters Year 1989 |Year 1998 Remarks A : 
-——[-— Ru eet er emet 5 —| the area is represented by V(Jana and Khire,2001). The mean 
P Type of Sensor LISS-I1A |LISS-I 1B ; ni gt 
; brightness value indicates the average response of the landscape 
A Date cf 28 Ma 30 Ma J 2 days difference > : : ( P 
R LIS! oar y y with 9-year to its climatic and manmade history whereas the variance 
B i Aud ; a ; 
n BS dan a le Be Separation indicates the loss or gain by the land unit (Pickup and 
A Riiie ofIRS |69.754 72.658 "| Sun angle Chewings, 1988,). 
N a difference:2.904^ 
I : ; 
The decrease of albedo in dry land gauges the improvement of 
C Type of Sensor |LISS-I1A |LISS-I 1B land quality whereas it's increase indicates degeneration of land 
A quality. In the present study the albedo is calculated using 
I Date of 03 March [27 March J 24 days : : ; 
K observation of difference reflectance sum method (Rabinove et al, 1981; Tripathi et al 
A — LIRS data Pr d omis Witlrysyear 1996) and a program has been written in EASI/PACE 
L Sun angle of IRS [53.86 63.59 separation ; : 
T data modelling environment for generating albedo image. The input 
H J Sun angle image files in binary format. An attempt is made here to study 
A difference:9.73° : d s à : as 
N the spatial variation of albedo where the possible minimum 
A e output value is 0(0% albedo) and maximum value 255(100% 
albedo) for a given wavelength range (Jana et al 2000). In this 
method the sensor is assumed to view the surface 
perpendicularly and ground cover is assumed to be Lambertian. 
  
4. METHODOLOGY sa i 
0.26%------- te S —— 1.3% 2 te 
An attempt is made for the study of vulnerability of climate 0.22%——-Existing water body-——-0.68% 
using the criteria of India Meteorological Department ( CWC, 0.11% JEBR Ed 0.68% 
1982). The tendency of precipitation, trend in mean ambient T ART, ce $ 
temperature, the value of CV% and probability of occurrence of 10.91%--—--Existing Vog.-—---83.76% £. T3 
rainfall assess that the Chikalthana(CKT) and Parbhani(PBN) PRIMATE OL cho RRA LT E 
are facing climate variability significantly(Jana,2002). The Bi 
further study on climatic variation of recent micro climatic 
phase over those two stations indicated (CWC 1982, NIH 1991) 
more tendency of climate vulnerability over Parbhani in the 
study area(Jana, 2000). in the present study annual rainfall 
T Others---------52.92% 
Fig.2 Index of L and Use/Land Cover Changes(ILU&LCC) 
between Year 1989 and 1998 
The percent of difference in albedo has been calculated and 
clustered into‘ 9 classes depending on it’s intensity of 
590