Full text: Resource and environmental monitoring (A)

  
  
IAPRS & SIS, Vol.34, Part 7, “Resource and Environmental Monitoring”, Hyderabad, India, 2002 
  
GEO-SPATIAL DATABASE FOR PRIORITIZATION AND EVALUATION OF 
CONSERVATION STRATEGIES FOR LANDSCAPE MANAGEMENT IN A RIVER 
BASIN 
G.P. Obi Reddy", A.K. Maji", G.R. Chary*, C.V. Srinivas’, P. Tiwary® and K.S. Gajbhiye® 
“National Bureau of Soil Survey & Land Use Planning, Amaravati Road, Nagpur-440 010, India 
"Sr. Scientific Officer, Indira Gandhi Centre for Atomic Research, Kalpakkam-603 102, India. 
E-mail: obireddy @nbsslup.mah.nic.in 
KEYWORDS: Geo-spatial database, GIS, Landscape, Morphometry, Prioritization, River basin 
ABSTRACT: 
In the present study, an attempt has been made to assess the status of soil erosion for prioritization and evaluation of conservation 
measures using basin morphometry and Universal Soil Loss Equation (USLE) parameters in GIS. The quantitative morphometric 
parameters were computed at sub basin level and ranks were assigned in prioritization of sub basins based on erosional 
characteristics of linear, areal and shape parameters. The quantification of rainfall erosivity (R), topographic factor (LS) and soil 
erodibility (K) factor were used as inputs in GIS to estimate quantitative potential soil erosion. The area under moderately severe, 
severe, very severe and extremely severe potential soil erosion occupied 7.62, 8.21, 5.33 and 24.86 per cent of the total area. The 
actual soil erosion was estimated considering cover (C) and management (P) factors besides R, LS and K factors in GIS. The area 
under moderately severe, severe, very severe and extremely severe was noticed nearly 4.01, 6.97, 6.15 and 16.74 per cent of the total 
area. The sub basins were ranked based on the comparative analysis of quantitative morphometric, estimated potential and actual soi! 
loss parameters. In the processes of evaluation of conservation measures the estimated potential soil erosion, slope, soil depth, soil 
texture, land use/land cover layers were assigned weightages and scores for their classes in the multi-criteria overlay analysis in GIS. 
The prioritization of sub basins and erosion susceptibility zone mapping will be of immense help in evaluation of site-specific 
appropriate conservation measures for optimal utilization of available land and water resources to minimize soil erosion and improve 
water availability on sustainable basis. 
INTRODUCTION treatment. The quantitative analysis of drainage pattern is an 
important aspect of characterization of river basins (Strahler, 
Soil and water are the two basic resources of the country which 1964). Remote sensing and GIS techniques are being 
must be carefully conserved and judiciously utilized to sustain effectively used in recent times as a tools in determining the 
the ever increasing human and livestock population (Sharda, quantitative description of river basins (Biswas et al., 1999). 
2002). India ranks high among the developing countries in The data sets in the core of GIS provides an excellent means of 
respect of both extent and severity of land degradation (Yadav, storing, retrieving, manipulating and analysing geo-referenced 
1996). The nature and extent of degraded lands of the country information (Burrough, 1986). Geo-spatial database on 
were projected by various agencies from time to time (National drainage, slope, landforms, soils, land use/land cover and 
Commission on Agriculture, 1976; Bhumbla and Khare, 1984: management practices is a pre-requisite for integrated analysis 
Govt. of India, 1994). In India extent of soil degradation under in GIS to prioritize and evaluate the conservation strategies for 
different degradation types was estimated nearly 187.7 million landscape management. In the present study, an attempt has 
hectares (Sehgal and Abrol, 1994). Methods of qualitative been made to prioritize sub basins of Vena basin, Nagpur 
assessment of soil erosion stressed the need to asses the district, Maharashtra based on the morphometric, estimated 
combined effects of terrain attributes to identify and demarcate potential and actual soil loss parameters using USLE for 
those zones that are relatively under various types of erosion evaluation of appropriate soil conservation measures. 
and need priority conservation measures (Sharma et al, 1985; 
Gawande, 1989). The Universal Soil Loss Equation (USLE) is MATERIALS AND METHODS 
the empirical equation for the estimation of soil loss depending 
on the existing conditions of slope, slope length, rainfall The methodology followed in this study is shown in figure 
erosivity, soil erodibility, cover conditions and management l.The morphometric and slope parameters of the area were 
factors of the given terrain (Wischmeier and Smith, 1978). The analyzed based on the drainage and contour information. The 
river basin has been divided into 19 sub basins and quantitative 
morphometric parameters at sub basin level have been 
computed. The FCC of IRS-ID, LISS-III data of November, 
1999 and March, 2000 were used for analysis of land use/land 
cover based on the Maximum Likelihood Classification (MLC) 
algorithm (Anderson, 1976). Visual interpretation techniques 
have been followed in the analysis and generation of landforms 
map based on the tone, texture, shape, drainage pattern, color 
and differential erosion characteristics of the satellite imagery. 
The geo-spatial database on landforms, soils and land use/land 
cover properties from remotely sensed data and conventional 
surveys have been generated in GIS. The USLE parameters 
advent of remote sensing technology has paved the way to 
gather information about the earth's resources more accurately 
than conventional methods (Colwel, 1978; Karale et al., 1988). 
Analysis of satellite data for drainage, lithology, landforms, 
soils and land use/land cover aspects in conjunction with 
collateral data, facilitate effective evaluation of status of soil 
erosion. 
River basin is the geo-hydrological unit drained to a common 
point and it is considered as a appropriate physical unit for soil 
loss estimation and prioritization of units for ridge to valley 
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