IAPRS & SIS, Vol.34, Part 7, “Resource and Environmental Monitoring”, Hyderabad, India, 2002
REMOTE SENSING FOR NATURAL RESOURCES MANAGEMENT
- JA CASE STUDY
P.Venkateswarlu and M.Anji Reddy
Centre for Environment, IPGSR, JNT University, HYDERABAD - 500 028.
e-mail: drperni @rediffmail.com
KEYWORDS: Resource, geomorphology, land use, drainage pattern, conservation
ABSTRACT:
Application of Remote Sensing and GIS for of Natural Resources Management for suitable land management and water
conservation in a semi-arid rainfed tract of Prakasam District in Andhra Pradesh form the theme of this paper. Characterisation and
analysis of watershed are carried out using 1 RS - IC - LISS III data and SOI toposheet. The computerised data base created using
ARC/INFO software, information derived interms of natural resources and their spatial distribution was then integrated with
socioeconomic data to develop a action plan. Such a plan is useful for natural resources management and for poverty alleviation
through the provision of Rural livelihoods.
1. INTRODUCTION
Conservation and management of land and water resources are
crucial for sustainable development of rural areas. The
growing population, the growing needs and increased economic
activities are exerting tremendous pressure on these finite and
vulnerable natural resources. Due to irrational use and lack of
scientific planning, ground water levels are getting depleted
rapidly and lands are getting either degraded or becoming
wastelands. Any attempt on rural development and poverty
alleviation is therefore to address the problem of
degraded/under utilized natural resources, like stock and
humans. The best physiographic unit for development initiative
in a watershed.
GEOLOGY
The area falls under Cuddapah supergroup composed of
argillaceous and arenaceous rocks along with subordinate
calcareous sediments. The Bairankonda (Quartzites, Phyllite,
dolomite and shales) are the distinct geological formations
present
METHODOLOGY
Natural Resources thematic maps on 1:50000 scale are
generated availing I.R.S-IC Liss-III sensor data using visual
interpretation as well as digital image processing techniques.
The spatial analysis of the socio-economic data along with the
infrastructural facilities is carried out to evaluate the socio-
economic status.
A socio-economic ranking system is assigned to each village on
the basis of which classification of villages is carried out. The
landuse/landcover map (Fig.1) is prepared using visual image
interpretation techniques along with collateral data such as
topomaps and censor records. Hydrogeomorphology map
(Fig.2) depicts geomorphic units delineated based on the image
characteristics like tone, texture, shape and colour as also
available geological maps. Slope analysis was carried out
using SOI topomaps 1:50000 scale with 20m contour interval.
Drainage map is prepared on the basin of data from SOI
toposheets and linearly stretched FCC of satellite data.
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Morphometric analysis of watershed is preferred to empirical
and conceptual sediment yield models to avoid cumbersome
processes to derive useful information about the watershed and
also prioritisation of sub watersheds. The soil map (Fig.3) is
generated using image interpretation along with field studies
upto the association/series level.
The drainage pattern for delineated eight (8) sub watersheds
(Fig.4) was exported to ARC/INFO GIS software for
morphometric analysis. Erosion risk assessment parameters are
used for prioritizing sub watershed s to initiate conservation
measures.
RESULTS AND DISCUSSION
The thematic maps generated for the study region have brought
out detailed information. The land use land cover map reveals
the extent of agricultural land, forest land, waste land, water
bodies and settlements. The area possess 5 (level-I), 18 (level-
ID, and 5 (level-IIT) classes. The kharif unirrigated area
accounts for 177.8 sqkm out of 421 sq.kms. the structural hills
occupies an area of 74.39 sq.kms.
The valley fill is an area of Conconsolidated sediments
deposited by streams/rivers. The structure and the lithology of
this area is fractures such boulders, cobbles, pebbles, gravel
and stilt with excellent ground water prospects. Moderately
weathered shales and phyllites with more than 5m thick
weathered soil cover give moderate yields. Fractures and
lineaments are zones of good yields. Shallow weathered buried
pediplain upto 5 mtrs thickness and composed of weathered
Shales and phyllites with black soils on top provide moderate
to good groundwater yields. Shallow weathered pediplain is a
smooth surface of weathered Cumbum Shales and phyllites
with a trend of NE - SW to NNE - SSW. The structural hills
are linear to arevale hills showing definate trend associated
with folds and faults with poor groundwater prospects.
The categories of slopes in the study area along with
distribution are indicated in table .... Nearly level category
occupies area of 237.12 sq.kms and very gently sloping and
gently sloping varieties occupies 6.25 and 30.71 sq kms
respectively. An area of 105.57 sq kms bears very steep
sloping terrain. More than half of the area is nearly level.