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Title
Application of remote sensing and GIS for sustainable development

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.