70 
2.3 Resources Data Bases - Spatial 
Consistent with the watershed level planning 
requirement, thematic maps are generated using IRS 
data. Both the digital and visual techniques are followed 
interactively. Special techniques of stratification, layered 
approach and composition, aggregation, refinements are 
adopted wherever necessary to improve the quality of 
mapping. The primary thematic maps generated are 
Land use/Land cover, Soil, Geology, Geomorphology, 
Digital elevation, Drainage & Watershed boundaries, 
Transport network and village boundaries. The details 
are provided in Table 1. 
Table 1. 
Theme Map 
Source 
Remarks 
Landuse/ 
land cover 
(Multi date) 
IRS LISS-11 & III 
ground truth 
Digital classification 
using stratified 
approach, refinement 
using human logic 
Soil 
IRS L1SS-I1 & III 
& available maps, 
profiling 
Digital enhancements 
and visual interpre 
tation. 
Digital classification 
using stratified 
approach 
Geology 
IRS L1SS-1I, III, 
Field data existing 
geological maps 
Digital enhancement 
and mapping, 
digitization 
Geomorphology 
IRS LISS-II & III 
Topographical 
maps 
Digital enhancements 
and mapping 
digitization 
Drainage & 
sub-watershed 
boundaries 
Topographical 
map and IRS 
LISS-III data 
Digitization 
Digital elevation 
Survey topo maps 
& IRS-1C PAN 
(Stereo) 
Digitization of 
contours / DEM 
derivation from stereo 
image 
Transport 
network 
Topographical 
maps & IRS-1C 
PAN Data 
Digitization of 
features, Updation 
using images 
Village 
boundaries 
Census Book / 
maps 
Digitization 
2.4 Spatial Derived Data bases - Spatial 
Basic maps are used to produce utilitarian types of 
maps to serve planning decisions. They are derived, in 
some cases, by direct translation of single thematic map 
and in others by combination of two or more thematic 
maps or chosen parameters of the different themes. 
These are Slope, Land capability, Land irrigability, 
Ground water potential, Run-off potential, Run-off 
depth, Peak run-off rate, Peak run-off volume etc. The 
details are provided in Table 2. 
Table 2. 
Derived map 
Theme map 
Remarks 
Slope 
Topographical map/ 
IRS PAN Stereo 
data 
Derived from DEM 
Land-capability 
Soil, slope, climate 
Digital aggregation 
Land-irrigability 
Soil, slope, land- 
form, groundwater, 
Depth, Exch. SAR, 
EC 
Digital aggregation 
Ground water 
Potential 
Bore well, 
Litho-Log 
Geology, Geomor- 
phology, layers 
and abstraction of 
yield data 
Intersecting of 
theme point data 
base 
Run-off potential 
Slope, soil map, 
landuse rainfall 
SCS Model through 
integration of 
layers 
Run-off depth 
Slope, soil map, 
landuse rainfall, 
sub watershed map 
SCS Model through 
integration of 
layers 
Peak Run-off rate 
sub-watershed 
wise 
Slope, soil map, 
landuse rainfall, 
sub-watershed map 
SCS Model through 
integration of 
layers 
Run-off volume 
sub-watershed 
wise 
Slope, soil map, 
landuse rainfall, 
sub-watershed 
SCS Model through 
integration of 
layers 
2.5 Attribute Data Base 
As mentioned earlier, socio-economic conditions 
and institutional constraints greatly influence the 
developmental programmes. Voluminous information on 
these aspects exists at various sources and different 
levels are collated and quantified. These are 
Demographic, Input Status, Facilities, Sociologic, 
Financial, Policies & Priorities and Complementary 
data such as Agronomy, Forest, Industrial and 
Achievements and ongoing activities.