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International INTERNATIONAL Journal of Civil Engineering JOURNAL and OF Technology CIVIL (IJCIET), ENGINEERING ISSN 0976 – AND 
6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 
TECHNOLOGY (IJCIET) 
ISSN 0976 – 6308 (Print) 
ISSN 0976 – 6316(Online) 
Volume 5, Issue 11, November (2014), pp. 79-96 
© IAEME: www.iaeme.com/Ijciet.asp 
Journal Impact Factor (2014): 7.9290 (Calculated by GISI) 
www.jifactor.com 
IJCIET 
©IAEME 
ANALYSIS ON LAND USE/LAND COVER 
CLASSIFICATION AROUND MYSURU AND 
CHAMARAJANAGARA DISTRICT, KARNATAKA, INDIA, 
USING IRS-1D PAN+LISS-III SATELLITE DATA 
Basavarajappa H.T, Dinakar .S, Manjunatha M.C 
Department of Studies in Earth Science, Centre for Advanced Studies in Precambrian Geology, 
University of Mysore, Manasagangothri, Mysore-570006, India 
79 
ABSTRACT 
Land is a non-renewable resource and mapping of LU/LC is essential for planning and 
development of land and water resources in a region of engineering projects under progress. Land is 
an area of the earth surface, which embraces all reasonable stable or predictably cyclic, attribute of 
the biosphere including the atmosphere, soil and underlying geology. Hydrology, plant and animal 
population are the results of the past and present human activity to the extent that significantly 
influences on present and future LU/LC system. Proper management and development of these lands 
should be initiated to increase the land productivity, restoration of soil degradation, reclamation of 
wastelands, increase the environmental qualities and to meet the needs of rapidly growing population 
of the country. Remote Sensing (RS) satellite data with its synoptic view and multispectral data 
provides essential information in proper planning of LU/LC conditions of the larger areas. An 
attempt have been made to delineate the level-1, level-2 and level-3 LU/LC classification system 
through NRSC guidelines (1995) using both digital and visual image interpretation techniques by 
Geographical Information Systems (GIS) software’s. The classification accuracy is found to be more 
in case of digital technique as compared to that of visual technique in terms of area statistics. Efforts 
have been made to classify the LU/LC patterns using False Color Composite (FCC) data of IRS-1D 
PAN+LISS-III (Band: 2,3,4) through MapInfo v7.5, ArcView v3.2, Erdas Imagine v2011 and 
ArcGIS v10. The final results highlight the potentiality of geomatics in classification of LU/LC 
patterns around Chamarajanagara district, Karnataka, in natural resource mapping and its 
management which is a suitable model for application to similar geological terrain.
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 
Keywords: LU/LC Classification; Visual  digital interpretation; Chamarajanagara; Mysuru; 
Satellite data. 
80 
1. INTRODUCTION 
Land use systems need thorough systematic monitoring and management to maintain food 
security, to minimize deforestation, conservation of biological diversity and protection of natural 
resources. It is necessary to enhance human occupation to the changing social, economic and natural 
environmental conditions. Rapid increase in population demands for more food, fodder and fuel 
wood have led to large scale environment degradation and ecological imbalance. In order to use land 
optimally, it is necessary to have firsthand information about the existing land use/land cover 
(LU/LC) patterns. Jacks (1946) reviewed land classification as it relates to the grouping of land 
according to their suitability for producing plants of economic importance. Land use refers to man’s 
activities and the various uses which are carried on land (Clawson and Steward, 1983). Land cover 
refers to natural vegetation, water bodies, rock/soils, artificial cover and other resulting due to land 
transformation. Land use describes how a parcel of land is used such as agriculture, settlements or 
industry, whereas land cover refers to the material such as vegetation, rocks or water bodies that are 
present on the surface (Anderson et al., 1976). The term LU/LC is closely related and 
interchangeable. LU/LC exposes considerable influence on the various hydrological aspects such as 
interception, infiltration, catchment area, evaporation and surface flow (Sreenivasalu and Vijay 
Kumar., 2000; Kumar et al., 1999). LU/LC provides a better understanding on the cropping pattern 
and spatial distribution of fallow lands, forests, grazing lands, wastelands and surface water bodies, 
which is vital for developmental planning (Philip and Gupta, 1990). 
2. STUDY AREA 
2.a Mysuru district: The study area include Cauvery and Kabini riverine plains flowing towards 
south easterly and both joins at Tirumalakudu Narasipura. Most parts of Nanjungudu and Mysuru 
taluks show gentle slope and plains with both cultivated seasonal crops such as irrigated and dry 
seasonal crops. The southern parts of Mysuru district is traversed by 3 sets of joints-trending in N-S, 
NE-SW and E-W direction  4 sets of lineaments are noticed towards NNE-SSW, NNW-SSE, NE-SW 
 E-W. The study area is subjected to F1, F2, and F3 Sargur type of structure, deformational 
folds and joints formation in the past. 
2.b Chamarajanagara district: The study area represents a part of Biligiri-Rangan Hill Ranges 
which belong to an oldest Precambrian hard rock terrain in southern Karnataka (Basavarajappa H.T., 
1992). The eastern portion of the study area forms a hilly terrain with lofty mountains (Biligiri- 
Rangan hill ranges) raising about 1677m above MSL, run approximately towards N-S direction with 
thick vegetation. The western parts form a plain country with an average elevation of 686.25m with 
minor undulations. Honattikal, Chikkangiri betta and Honnamatti betta are some of the important 
tracts. The north western region is drained by major river Cauvery  Kabini which flow from west 
to east and both the river conflicts at Tirumalkudalu Narsipura. Suvarnavathi and its tributary, Hebba 
halla flows from south to north in the central part of the study area, in turn drain into river Cauvery 
(Azadhe T. Hejabi and Basavarajappa H.T., 2011).
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 
The land adjoining the banks of meandering course of the river forms the most fertile and 
rich tracts of land, which is cultivated intensively for paddy and coconut. The paleo-channels of the 
study are also mapped using satellite data which gives additional information regarding water 
bearing zones like hidden aquifers, old river course, fractures and valley fills (Basavarajappa et al., 
2008; 2013; Dinakar S and Basavarajappa H.T., 2005; Satish et al., 2008). 
81 
3. LOCATION 
The study area lies between 11°45’ to 12°15’N latitude and 76°45’ to 77°15’E longitude with 
total areal extent of 3,011 Km2 (Fig.1). The study area includes parts of 9 taluks of Karnataka state 
namely Yelandur, Kollegal, Chamarajanagara, Malavalli, Mysuru, Gundlupet, T. Narsipura, 
Nanjungudu and small patches of Tamil Nadu region (Sathyamangalam) in the southern and 
southeastern parts. Cauvery and Kabini are the two major rivers flowing in the study area in which 
Kabini is one of the tributary of River Cauvery.
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 
82 
4. CLIMATE  RAINFALL 
Generally weather is pleasant and the climate is divided into four seasons viz., pre-monsoon 
(Jan-Feb), south-west monsoon (May-Sept), north-east monsoon (Oct-Dec) and summer (Mar- 
April). The average annual rainfall is 786.8mm (2004) with a major contribution south-west 
monsoon (44.45%). The annual minimum rainfall is recorded as 558.07mm (Kavalande rain-gauge 
station) while the maximum is 1455.43mm (2010) (Biligiri-Rangan temple rain-gauge station). There 
is a continuous rise in temperature attaining a maximum in the month of April and minimum during 
December. Wind speed is moderate during south-west monsoon and relative humidity is high 
(Dinakar S and Basavarajappa H.T., 2005). 
6. METHODS  MATERIALS 
6.1 Methodology: LU/LC maps are prepared using satellite image in conjunction with collateral data 
like SoI topomaps on 1:50,000 scale by taking permanent features such as road, tanks, co-ordinates, 
etc. Visual interpretation of IRS-1D PAN+LISS-III FCC of Band 2,3,4 on 1:50,000 scale is carried
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 
out and various LU/LC categories are delineated. The satellite data of two seasons is acquired (Rabi 
in December 2002 and Kharif in October 2003) to estimate the spatial distribution of LU/LC pattern. 
These categorizations are done based on the classification scheme developed by National Remote 
Sensing Agency (NRSA, 1995). 
6.2 Materials used: 
a. Topomaps: 57D/16, 57H/4, 58A/13 and 58E/1. 
Source: (SoI, Dehradun). 
b. Satellite Data: IRS-1D LISS-III of 23.5m Resolution (March  Nov-2001) and PAN+LISS-III of 
5.8m, Date of pass 10-March-2003. 
Source: (National Remote Sensing Agency (NRSA), Hyderabad. 
c. GIS software’s: Mapinfo v7.5, Arc Info v3.2, Erdas Imagine v2011 and Arc GIS v10. 
d. GPS: Garmin 12 is used during Ground Truth Check (GTC). 
Fig.3. Flow chart showing the methodology adopted in the preparation of Land use/Land cover map 
Classification analysis using Geomatics: Information on land use/land cover is of utmost 
importance in hydrogeological investigation as the groundwater regime of a region is influenced by 
the type of land use/land cover. Hence the satellite based data is very much useful in preparing the 
precise land use/land cover maps in a very short time period as compared to the conventional 
methods using Geomatics. LU/LC classes such as built-up land, agricultural land (crop land), fallow 
land, plantation, forest (evergreen, deciduous, scrub, etc), wastelands (salt affected land, waterlogged 
83 
Satellite data IRS-1D, 
LISS-III  PAN+LISS-III 
of 2 Season Geocoded 
Data Source Collateral data 
• SoI toposheet 
• Forest Map 
Base Map 
Image Analysis 
Classification System 
Preliminary Interpreted Map 
Image Interpretation 
Ground Truth Check 
Post Field 
Correction/Modification 
Final Land use/Land cover Map
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 
land, gullied/ravinous land, barren rock/stony waste etc), water bodies (rivers, streams, canals, lakes, 
etc) are delineated based on the image characteristics like tone, texture, shape, association, 
background, etc. The level-1 classification consists of 5 major categories such as built-up land, 
agricultural land, forest, wastelands, water bodies and others. These 5 major classes of level-1 are 
further divided into sub-categories of level-2; keeping the area under investigation. Level-3 
classification has been done in detail on agricultural and forest lands to study the cropping pattern. 
Geomatics are the advent high-tech tool that can be used more effectively in natural resources 
management using Survey of India (SoI) toposheet, Satellite image with limited Ground Truth Check 
(GTC) using GIS software’s (Tiwari A and Rai B., 1996). This helps in analyzing, mapping and 
integrating the information database to generate thematic maps for development and management of 
natural resources (NRSA, 1995). Digital interpretation and post classification comparison techniques 
are adopted to find out the changes among various land uses over a period (Rubee and Thie, 1978; 
Likens and Maw, 1982; Priyakant et al., 2001). Lithological formations and geomorphological 
landforms are derived by visual image interpretation of IRS-1D PAN+LISS-III of False Color 
Composite (FCC) based on the image interpretation elements such as association, pattern, shadow, 
shape, size, tone, texture etc., and verified during the field visits. Drainage and slope maps are 
digitized using Survey of India (SoI) toposheets of 1:50,000 scale. 
84 
7. LEVEL-1 CLASSIFICATION 
7.1 Built-up land: These are the land surfaces of man-made constructions due to non-agricultural 
use including buildings, transportation network, communication, industrial, commercial complexes, 
utilities and services in association with water, vegetation and vacant lands. Collectively, cities, 
towns and habitations are included under this category. The total aerial extent of built-up land is 
61.71 Km2 (2.05%). 
7.1.1 Urban (Towns and Cities): Land used for human settlement of population more than 5000 of 
which more than 80% of the work forces are involved in non-agricultural activities is termed as 
urban land use. Most of the land covered by building structures is parks, institutions, playgrounds 
and other open space within built up areas. The major urban settlements are noticed in 
Chamarajanagara, Kollegal and Yelandur taluks. Urban land occupies an area of 9.2 Km2 (0.31%). 
7.1.2 Rural (Villages): Land used for human settlement of size comparatively less than the urban 
settlement of which more than 80% of people are involved in agricultural activities. Though the total 
number of rural settlements in the study area is 601 as per the toposheet information, only 483 
villages can be clearly noticed from the satellite data due to less number of houses (less than 10 
houses) in a village, inter spread with trees and agriculture fields especially in South Eastern parts of 
study area occupied by thick forest with hilly region. The area occupied by this class is about 52.4 
Km2 (1.74%). 
7.2 Agricultural land: These are the land primarily used for farming, production of food, fiber, 
other commercial and horticultural crops. It includes land under crops (irrigated and unirrigated), 
fallow, plantations, etc. The area under this category is 2043.21 Km2 (67.85%). 
7.2.1 Crop Land: It includes those lands with standing crops as on the date of the satellite data 
acquisition. The crops may be either Kharif/Rabi or Kharif and Rabi seasons or double cropped. It 
includes land under crops (irrigated and unirrigated), fallow, plantation, etc (NRSA, 1989). The area 
under crops have been identified in both during Kharif (June to September)  Rabi seasons (October 
to February) are mapped. The land under double crop (land cultivated both during Kharif and Rabi 
seasons) have also been mapped and digitized.
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 
7.2.1.a Kharif: Kharif includes standing crops from June to September in associated with rainfed 
crops under dry land farming and limited irrigation. Kharif crops include Jowar, Ragi, Horsegram 
and others in the study area. The prospect of Kharif crops mainly depends upon the regularity of 
monsoon to some extent on irrigation facilities. The cultivated land of Kharif season on FCC shows 
bright red tone. The areas in single crop system with moderately deep to deep soil on nearly level to 
very gently sloping with good to moderate groundwater potential/accessible surface water resources 
or both can be put into intensive cropping system. This land occupies an area of 1160.64 Km2 
(38.54%). 
7.2.1.b Double Cropped: This category has been identified and mapped using the two season 
satellite images. Most of the double crop areas are concentrated adjacent to the river Cauvery and 
Kabini flowing in north-western parts of the study area. The cropping intensity is very high due to 
physical factors such as flat terrain, fertile soil and irrigated from canal system. Paddy, Sugarcane, 
Groundnut, Sunflower and others are grown in this region. On FCC, the double crop show a dark red 
tone with square pattern representing soil covers with higher amount of moisture near the streams. 
The water table is found to be at shallow level, indicating the good groundwater prospects. Higher 
the growth of natural vegetation; higher will be the groundwater availability. The cultivated land at 
elevated zones show bright red tone generally representing the less amount of moisture and deeper 
85
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 
levels of groundwater prospect indicates the moderate groundwater prospect zones. Intensive 
agriculture is seen in north-western and central parts growing multiple crops in sequence on same 
land. They are mostly confined to valleys, low lands, alluvial tracts where the groundwater potential 
is good. The soils are deep, provide good groundwater yield with maximum nutrient holding 
capacity. This category covers an area of 650.35 Km2 (21.60%). 
86
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 
7.2.2 Fallow land: The agricultural land which is taken up for cultivation but is temporarily allowed 
to rest, uncropped for one more season, but less than one year. These are particularly devoid of crops 
at the time; when the imagery is taken from both seasons. On FCC, fallow land shows yellow to 
greenish blue tone, irregular shape with varying size associated with amidst crop land as harvested 
agriculture field. Fallow land are noticed near the villages of Triambakapura, Tavarugottemole, 
Mallaipura and Galipura. The total area under this category is 6.01 Km2 (0.2%). 
7.2.3 Plantations: These are agricultural land with tree plantation or fruit orchards; planned by 
adopting certain agricultural management techniques. It includes mainly Coconut, Mango, Arecanut, 
Banana, Mulberry and other horticultural nurseries are noticed in south-western parts around 
Chamarajanagara taluk and Southern region. These plantations are undoubtedly considered to be 
lucrative as compared to agriculture crops; further no tedious maintenance is required for the 
plantation. Huge number of eucalyptus plantation is noticed in south-eastern parts which are covered 
by denudation hills. Differentiation of plantation from cropland is possible by multi-temporal data of 
period matched harvesting time of inter-row crop/flowering of the plantation crops. Overall, Rabi 
season data is found to be better discrimination of plantations from croplands. The total area under 
this category is 226.21 Km2 (7.51%). 
7.3 Forest: It is an area (within the notified forest boundary) bearing an association predominantly 
of trees, other vegetation types capable of producing timer and other forest products. Satellite data 
has become useful tool in mapping the different forest types and density classes with reliable 
accuracy through visual as well as digital techniques (Madhavanunni, 1992; Roy et al., 1990; 
Sudhakar et al., 1992). Forest cover with 40% or move vegetation density (crown cover) is called 
dense or closed forest; while between 10-40% of vegetation density is called as scrub whereas 10% 
is called as degraded forest. Forests exert influence on climate, water regime and provide shelter for 
wildlife and livestock (FAO, 1963). The area under this category is 676.59 Km2 (22.46%). 
7.3.1 Evergreen Forest: These are the forest cover comprising thick and dense canopy of tall trees 
that predominantly remain green throughout the year. It includes both coniferous and tropical broad 
leaf evergreen trees. Semi-evergreen forest is a mixture of both deciduous and evergreen trees, 
however the later is predominate. Multi-temporal data and area specificity of forest type helps in 
discriminating evergreen forests from other forest classes. Evergreen forest occupies the hilly terrain 
on the south-eastern parts of “Biligiri-Rangan Hill Ranges” rises up to 1767m above MSL. The 
important species observed in evergreen forest are Sandalwood, Artocarpus hirstus, Maesua 
nagassarium, Dipterocarpus indicus, etc. The total area covered by evergreen forest is 194.84 Km2 
(28.80%). 
7.3.2 Deciduous forest: The forest cover predominantly comprises of deciduous species and the 
trees shed their leaves once in a year. Teak, Terminalia and Padauk are some of the economically 
important trees noticed in deciduous forest. Type, crown density and composition of forest 
vegetation along with degradational stage help in the analysis of deciduous forest vegetation under 
acceptable limits of accuracy. These deciduous forests are well intermixed with evergreen forest in 
south-eastern parts. Multi-temporal data, particularly during October and March/April seasons help 
in their discrimination from other forest types. Medium relief mountain/hill slopes occupies the 
north-eastern parts. On FCC, it appears as dark red to red tone mainly due to rich in timber trees like 
Teakwood, Rosewood, Honne, Bamboo, etc. The area occupied by this category is 431.43 Km2 
(63.77%). 
7.3.3 Scrub Forest: Scrub forest is associated with barren rocky/stony waste due to inadequate and 
erratic rainfall conditions that brings drought and extreme heat in summer season which preclude 
hardly in any profitable forest. Species like eucalyptus and casurina are noticed near Talakad, 
Mambetta, Mudukuthorai, Bilijagali mole and at the ridges of the Biligiri-Rangan Hill Range. They 
appear as light red to dark brown tone on standard FCC due to canopy covers. The area covered by 
87
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 
this category is found to be 49.12 Km2 (7.26%). 
7.3.4 Forest plantation: It is described as an area of trees with species of forestry and its importance 
raised on notified forest lands. These are artificially planted areas with tree cover, either in the open 
spaces or by clearing the existing forests for economically inferior species. The common indigenous 
and exotic trees of forest plantations are Teak, Sal, Chir-pine, Deodar, Casuarina, Khair and Sisoo. 
New and young plantations can be readily separated from contiguous forested areas. Few mass of 
artificial planted medicinal plantations are noticed on foot hills of Biligiri-Rangan Hills, Yelandur 
road. The area occupied by this class is about 1.20 Km2 (0.04%). 
7.4 Wastelands: These are degraded lands which can be brought under vegetative cover with 
reasonable effort. These are currently under utilized and deteriorating due to lack of appropriate 
water  soil management or on account of natural causes. Wastelands can result from 
inherent/imposed disabilities such as locations, environment, chemical and physical properties of the 
soil/financial/management constraints (NWDB, 1987). The wasteland mapping is done using the 
Survey of India (SoI) toposheet on 1:50,000 scale and Satellite Remote Sensing data (NRSA., 1995). 
Thirteen types of wastelands are identified and digitized. The total aerial extent of wasteland covers 
about 134.19 Km2 (4.46%). 
7.4.1 Salt-affected area: The areas are delineated based on white to light blue tone and its situation. 
These are found in river plains and in association with irrigated lands. These are mostly white 
kankary soils generally showing high intensity of erosion. These areas are adversely effecting the 
growth of most of the plants due to the action or presence of excess soluble or high exchangeable 
sodium. These are well observed in the villages of Kudderu, Telukkuru, Ummattur, Heggavaddi, 
Dasanapura, Dodda indavadi, Yelandur, Mole and Gumballi. The area occupied by this category is 
8.61 Km2 (0.29%). 
7.4.2 Gullied land: Gullies are narrow and deep channels developed as a result of weaving away of 
soil by running water. Gullies develop from rills which are tiny channels of few centimeters deep, 
formed by the impact of rainfall and weaving action of runoff. They are more common on sloping 
land and developed by the action of concentrated runoff. In the study area, these lands are noticed in 
eroded plains along streams, on sloping surface made of loose sediments adjacent to pediments and 
residual hills which are well observed in the villages of Hyakanuru, Adibettalli, Hosahalli, 
Vatalupura, Bagali, etc. These areas are having entrenched drainage system, good rainfall and 
surface runoff. On FCC, they appears as light yellow to bluish green depending upon the surface 
moisture and depth of erosion with varying size. These gullies and ravines contribute to soil erosion 
and land degradation. The area under this class is 1.73 Km2 (0.06%). 
7.4.3 Land with scrub: Scrub lands are observed along the ridges, valley complex, linear ridges and 
steep slope areas. Most of these areas are characterized by the presence of thorny scrub, herb species, 
many hillocks of steep and dombal shaped are associated with poor vegetal cover. As a consequence, 
severe soil erosion frequently occurs during rainy seasons and later most of the hill tops become 
barren/rocky. Large patches are noticed in Mudu betta, Badagalapura, Madumali, Karadi betta and 
adjacent to the deciduous forests. These lands are mainly observed in North-Eastern parts of hilly 
regions with an aerial extent of 113.29 Km2 (3.76%). 
7.4.4 Land without scrub: Land under this class is generally prone to degradation/deterioration and 
may not have scrub cover. It is confined to (relatively) higher topography such as uplands or high 
grounds etc excluding the hills and mountainous terrain. On FCC, they appear as light yellow to 
brown to greenish blue, varying in size associated with gentle relief with moderate slope in plain and 
foothills surrounded by agricultural lands. They are observed in the villages of Honnegaudanahalli, 
Kalibasavanhundi and Medini with an aerial extent of 3.14 Km2 (0.10%). 
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International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 
7.4.5 Sandy areas: Sandy areas are developed in situ or transported by Aeolian or fluvial processes. 
These occur as a sandy plain in the form of sand dunes, beach sands and dune (wind blown) sands. 
Patches of sand bars are noticed along the river Cauvery and meandering areas in the villages of 
Kukkur, Talakad, Malingi and Hampapura. Very high reflectivity is observed in all the spectral 
bands; particularly the infrared region provides very high confidence level as compared to salt 
affected soils. The area occupied by this category is 1.70 Km2 (0.06%). 
7.4.6 Stony Waste: These are the lands characterized by exposed massive rocks, sheet rocks, stony 
pavements or land with excessive surface, accumulation of stones that render them unsuitable for 
production of any green biomass. Such lands are easily discriminated from other categories of 
wastelands due to their characteristic spectral response. On FCC, they appears as greenish blue to 
yellow to brownish in tone with varying size associated with steep isolated hillocks, hill slopes and 
eroded plains. They occurs as a linear form within the plain land mainly due to varying lithology 
found in the villages of Maliyur, Kalipura, Jyothigaudanapura, Mariyalhundi and Masagapura. The 
area occupied by this category is 5.72 Km2 (0.19%). 
7.5 Water bodies: This class comprises areas of surface water, either impounded in the form of 
ponds, lakes and reservoirs or flowing as streams, rivers, canal, etc. These are clearly observed on 
standard FCC in different shades of blackish blue to light blue color depending on the depth of water 
bodies. The area occupied by this category is 95.51 Km2 (3.17%). 
7.5.1 River: It is the natural course of water flowing openly on the land surface along a definite 
channel. It may be a seasonal or perennial river system. The major parts of the study area are drained 
by river Cauvery and its tributaries Kabini, Suvarnavathi and Chikkahole. River Cauvery flows from 
West to East in Northern parts of the study area. River Kabini flows towards easterly direction 
joining the river Cauvery at Tiramalakudalu Narasipura. Rivers Suvarnavathi and Chikkahole flow 
from south towards north at central parts and intern drain into river Cauvery at Hampapura village. 
The area occupied by river Cauvery, Kabini, Suvarnavathi and Chikkahole is 25.22 Km2, 5.06 Km2, 
4.13 Km2, and 0.82 Km2 respectively. 
7.5.2 Reservoirs: A reservoir is an artificial lake created by construction of a dam across the river 
specifically for the generation of hydro-electric power, irrigation, water supply for 
domestic/industrial uses and flood control. The reservoir would affect the land around the reservoir 
rim. The introduction of a huge reservoir would be disturbing the delicate balance between soil, 
water and plants through rise in groundwater table (water-logging), (Piyoosh Rautela, 2002). The 
study area is endowed with 3 reservoirs namely Suvarnavathi Reservoir, Gundal Reservoir and 
Chikkahole Reservoir covering area of 4.51 Km2. 
7.5.2.a Chikkhole reservoir: A masonry dam 894.05 m in length and 25 m in height has been 
constructed across Chikkhole near Srirangapura about 12.8 Km southeast of Chamarajanagara- 
Satyamangalam road. Two canals mainly right and left bank are constructed for irrigation purpose. 
In addition to the above, two bunds have been constructed across Suvarnavathi on the downstream 
side near Attgulipura and Hongalavadi where the channels are taken out for irrigation. These 
channels also act as feeding channels to various tanks of Ramasamudram, Homma, Kempanapura, 
etc. The area occupied by this category is 1.38 Km2 (0.05%). 
7.5.2.b Gundal Reservoir: A rock filled earthen dam is constructed across the Gundal stream by 
11.2 Km South-East of Kollegal town. The length of the dam is 40.23 m and height is 29.56 m. The 
reservoir has been constructed in between two hillocks of Biligiri-Rangan Hills. The catchment of 
the reservoir is highly undulating lofty mountains covered by evergreen and deciduous forest. The 
area occupied by the Gundal reservoir is 1.41 Km2 (0.05%). 
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International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 
7.5.2.c Suvarnavathi Reservoir: The length of the dam is 1146.80 m and its height is 25.92 m 
located at Attigalipura village, Chamarajanagara town covering an area of about 1.72 Km2 (0.06%). 
The upstream of the reservoir is occupied by forest plantations, while the downstream sides are 
occupied by agricultural lands. The reservoir is later divided into right and left bank canals. Right 
bank canal runs about 19.5 Km, but only a small portion of the canal is useful for irrigation purpose 
and the remaining portion of the canal runs in undulating terrain covered by plantations. Left bank 
canal runs about 3.9 Km and benefits irrigation purposes. 
Table.1: Land Use/Land Cover Classification Analysis of the study area 
LEVEL – 1 LEVEL – 2 LEVEL - 3 
90 
1 
Built – up 
land 
1.1 Towns/Cities 
1.2 Villages 
2 
Agricultural 
Land 
2.1 Crop land 
2.1.1 Kharif 
2.1.2 Tank irrigated kharif 
2.1.3 Rabi 
2.1.4 
Kharif + Rabi (Double 
cropped) 
2.2 Fallow 
2.3 Plantation 
3 Forest 
3.1 Evergreen/ Semi evergreen 
3.1.1 Dense 
3.2.2 Open 
3.2 Deciduous (Moist  Dry) 
3.2.1 Dense 
3.2.2 Open 
3.3 Scrub Forest 
3.4 Forest Blank 
3.5 Forest Plantations 
3.6 Mangroves 
4 Wastelands 
4.1 Salt Affected Land 
4.2 Waterlogged Land 
4.3 Marshy / Swampy Land 
4.4 Gullied / Ravinous Land 
4.5 Land with scrub 
4.6 Land without scrub 
4.7 Sandy area (Coastal  Desertic) 
4.8 Mining/ Industrial Wasteland 
4.9 
Barren Rocky / Stony Waste/ Sheet Rock 
Area 
5 Water Bodies 
5.1 River / Stream 
5.2 Canals 
5.3 Lake / Reservoirs / Tanks 
6 Others 
6.1 Shifting Cultivation 
6.2 Grassland/ Grazing land 
6.2.1 Dense 
6.2.2 Degraded 
6.3 Salt Pans 
6.4 Snow covered / Glacial Area
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 
Table.2. Image Characteristics of various land use/land cover categories of the study area (as 
seen in FCC) 
LU/LC category Tone/ color Size Shape Texture Pattern 
Built-up land Dark bluish green Small to big Irregular Coarse Clustered to Scattered 
91 
Crop land Bright red to red 
Varying in 
size 
Regular to 
Irregular 
Medium to Smooth 
Contiquous to Non- 
Contiguous 
Fallow land Yellow to greenish blue Small to big 
Reqular to 
Irregular 
Medium to Smooth 
Contiquous to Non- 
Contiguous 
Plantation Dark red to red 
Small to 
large 
Reqular to 
Irregular 
Coarse to medium Dispersed contiguous 
Evergreen forest Dark red 
Varying in 
size 
Irregular, 
discontinous 
Smooth to medium 
(depends on crown 
density) 
Contiquous to Non- 
Contiguous 
Deciduous forest Red 
Varying in 
size 
Irregular, 
discontinous 
Smooth to medium 
(depends on crown 
density) 
Contiquous to Non- 
Contiguous 
Scrub forest 
light red to brown (depends 
on canopy cover) 
Varying in 
size 
Irregular, 
discontinous 
Coarse to mottled 
Contiquous to Non- 
Contiguous 
Forest plantation Light red to red 
Varying in 
size 
Reqular to 
Irregular 
Smooth to medium 
Contiquous to Non- 
Contiguous 
Salt affected land White to light blue 
Small to 
medium 
Irregular, 
discontinous 
Smooth to mottled 
Dispersed, non-contiguous 
Gullied land 
Light yellow to bluish 
green 
Varying in 
size 
Reqular, broken very coarse to coarse 
Dendritic to sub-dendritic 
Land with scrub 
Light yellow to brown to 
greenish blue 
Varying in 
size 
Irregular, 
discontinous 
Coarse to mottled Contiquous dispersed 
Land without 
scrub 
Light yellow to brown 
Varying in 
size 
Irregular, 
discontinous 
Coarse to mottled Contiquous dispersed 
Sandy area White to light yellow 
Varying in 
size 
Irregular, convex Coarse to mottled Dispersed contiguous 
Stony waste 
Greenish blue to yellow to 
brownish 
Varying in 
size 
Irregular, 
discontinous 
Coarse to medium 
Linear to contiguous 
and dispressed 
River or stream Light blue to dark blue 
Long narrow 
and wide 
Irregular, 
Sinuous 
Smooth to medium 
Contiguous, 
dendritic/sub-dendriti 
Water bodies 
Light blue to dark blue 
(Subject to depth, weeds) 
Small, 
medium, 
large 
regular to 
Irregular 
Smooth to mottled 
Non-contiquous 
dispersed 
Table.3: Level-1 Land Use/Land Cover Category in the Study Area 
Sl. No 
Classification –level 1 Area in Km2 
Percentage 
(%) 
1. Built-up land 61.71 2.05 
2. Agriculture land 2043.21 67.85 
3. Wasteland 134.19 4.46 
4. Forest class 676.59 22.47 
5. Water body 95.51 3.17 
Total 3011.21 100.00
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 
Table.4: Level-2 land use/land cover categories in the study area 
Level-1 Level-2 Area in Km2 Percentage (%) 
1. Built-up land 1.1 Urban area 9.26 0.31 
1.2 Rural area 52.45 1.74 
2. Agricultural land 2.1 Kharif 1160.64 38.54 
2.2 Double crop 650.35 21.60 
2.3 Fallow 6.01 0.20 
2.4 Plantation 226.21 7.51 
3. Forest land 3.1 Evergreen forest 194.84 6.47 
3.2 Deciduous forest 431.43 14.33 
3.3 Scrub forest 49.12 1.63 
3.4 Forest plantation 1.20 0.04 
4. Wasteland 4.1 Salt affected land 8.61 0.29 
4.2 Gullied land 1.73 0.06 
4.3 Land with scrub 113.29 3.76 
4.4 Land without scrub 3.14 0.10 
4.5 Sandy area 1.70 0.06 
4.6 Stony waste 5.72 0.19 
5. Water body 5.1 Tank 52.38 1.74 
5.2 Cauvery River 25.22 0.84 
5.3 Chikka hole River 0.82 0.03 
5.4 Chikka hole reservoir 1.38 0.05 
5.5 Gundal reservoir 1.41 0.05 
5.6 Kabani River 5.06 0.17 
5.7 Stream 3.39 0.11 
5.8 Suvarnavathi River 4.13 0.14 
5.9 Suvarnavathi reservoir 1.72 0.06 
Total area 3011.21 100.00 
92
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 
93 
8. RESULTS  DISCUSSION 
The impact of land use in prevailing surface and sub-surface hydrologic conditions is 
remarkably high. Within the basin, the dynamics of hydrologic processes are governed partially by 
the temporal and spatial characteristics of inputs, outputs and land use conditions (Shih, 1996). The 
physiography and land characteristics have fabricated the existing land use with varying degree of 
biodiversity. Change in land use is mainly due to the hydrological factors (Saraf and Choudhary., 
1998). In the present study, northwest and southwestern parts are almost flat in topography 
representing agricultural fields, while eastern and southeastern parts are undulated hilly terrain 
interspersed with cultivated lands confined along the valley. A large number of irrigation/recharge 
tanks in the area contribute immensely in recharging the aquifers. Aquifers closer to these tanks have 
much better prospects compare to those located away from the tanks. The water tanks are located 
mostly along the drainage course within the pediplain, which are often structurally controlled terrain. 
Kharif crops are dependent mainly of rainfall and occupy the maximum areal extent of 1160.64 Km2 
that indirectly reflect that groundwater dependent crops are less. Double crops are noticed adjacent to 
the perennial rivers Kabini and Cauvery which provide well developed canal system for irrigation 
purpose. Small isolated hillocks found in gneissic terrain are covered by scrub lands due to lack of 
water potential. Maximum extent of forest land occurs in Biligiri-Rangan Hill Ranges which are 
thickly vegetated with evergreen and deciduous forest. Though it is thickly vegetated, groundwater 
condition is very poor due to its topography, steep slope and high runoff conditions. Denudational 
hills are covered by thick forest, residual hills and pediments are dominated by scrub forest or land 
with rock exposure. Pediplains are single crops with sparse agriculture depends on availability of 
water, while alluvial plains constitute double crops with thick vegetation. Wherever the 
obstructions/voids are encountered, Ground Truth Checks (GTC) are undertaken to verify the LU/LC 
patterns during the interpretation.
International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), 
ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 
94 
9. CONCLUSIONS 
The level-1 classification consists of 5 major categories such as built-up land, agricultural 
land, forest, wastelands, water bodies and others. These 5 major classes of level-1 are further divided 
into sub-categories of level-2; keeping the area under investigation. Level-3 classification has been 
done in detail on agricultural and forest lands to study the cropping pattern. Multidisciplinary 
approach and research in identifying the specific land is very much needed for better utilization, 
maintenance of soil fertility and rehabilitation of degraded lands. Land use/land cover provides an 
idea of relative infiltration capacity of different land cover types. About 67.85% of land is occupied 
by agricultural land, in which 38.54% of land is occupied by Kharif crops on pediplain region which 
are rainfed crops. Double crops are noticed in alluvial plains, canal command and in tank command 
areas. Wastelands such as stony waste and scrub lands are observed in uplands, all along the fringes 
of the forest areas. Different classes of vegetation tend to slow down and intercept the surface flow 
of runoff water leading to maximize infiltration. Large areas of watersheds are under protected 
forest, besides intensive social forestry programme is evident through large patches of plantation, 
discernible in satellite imagery. The valley fills are intensively cultivated which gives high 
productivity due to better sediment deposit and soil moisture availability. Land-use is obviously 
determined by environmental factors such as soil characteristics, climate, topography and vegetation 
but also reflects the importance of land as a fundamental factor of production. Thus understanding 
past changes on land use and projecting future land-use programmes require understanding the 
interactions of basic human forces that motivate production and consumption. Land use/land cover in 
the form of maps, statistical data helps in spatial planning, management, utilization of land for 
agriculture, forestry, pasture, economic production, agricultural planning, settlement surveys, 
environmental studies and operational planning based on agro-climatic zones etc. 
ACKNOWLEDGEMENT 
The authors are indepthly acknowledged Prof. S. Govindaiah, Chairman, Department of 
Studies in Earth Science, CAS in Precambrian Geology, Manasagangothri, University of Mysore, 
Mysore; Dr. M.V Satish, Rolta India Ltd, Mumbai, Nagesh, MGD, Govt. of Karnataka for their 
support in GIS work and UGC, New Delhi for financial support. 
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96

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Analysis on land use land cover classification around mysuru and chamarajanagara district karnataka india using irs 1 d pan liss iii satellite data

  • 1. International INTERNATIONAL Journal of Civil Engineering JOURNAL and OF Technology CIVIL (IJCIET), ENGINEERING ISSN 0976 – AND 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME TECHNOLOGY (IJCIET) ISSN 0976 – 6308 (Print) ISSN 0976 – 6316(Online) Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME: www.iaeme.com/Ijciet.asp Journal Impact Factor (2014): 7.9290 (Calculated by GISI) www.jifactor.com IJCIET ©IAEME ANALYSIS ON LAND USE/LAND COVER CLASSIFICATION AROUND MYSURU AND CHAMARAJANAGARA DISTRICT, KARNATAKA, INDIA, USING IRS-1D PAN+LISS-III SATELLITE DATA Basavarajappa H.T, Dinakar .S, Manjunatha M.C Department of Studies in Earth Science, Centre for Advanced Studies in Precambrian Geology, University of Mysore, Manasagangothri, Mysore-570006, India 79 ABSTRACT Land is a non-renewable resource and mapping of LU/LC is essential for planning and development of land and water resources in a region of engineering projects under progress. Land is an area of the earth surface, which embraces all reasonable stable or predictably cyclic, attribute of the biosphere including the atmosphere, soil and underlying geology. Hydrology, plant and animal population are the results of the past and present human activity to the extent that significantly influences on present and future LU/LC system. Proper management and development of these lands should be initiated to increase the land productivity, restoration of soil degradation, reclamation of wastelands, increase the environmental qualities and to meet the needs of rapidly growing population of the country. Remote Sensing (RS) satellite data with its synoptic view and multispectral data provides essential information in proper planning of LU/LC conditions of the larger areas. An attempt have been made to delineate the level-1, level-2 and level-3 LU/LC classification system through NRSC guidelines (1995) using both digital and visual image interpretation techniques by Geographical Information Systems (GIS) software’s. The classification accuracy is found to be more in case of digital technique as compared to that of visual technique in terms of area statistics. Efforts have been made to classify the LU/LC patterns using False Color Composite (FCC) data of IRS-1D PAN+LISS-III (Band: 2,3,4) through MapInfo v7.5, ArcView v3.2, Erdas Imagine v2011 and ArcGIS v10. The final results highlight the potentiality of geomatics in classification of LU/LC patterns around Chamarajanagara district, Karnataka, in natural resource mapping and its management which is a suitable model for application to similar geological terrain.
  • 2. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME Keywords: LU/LC Classification; Visual digital interpretation; Chamarajanagara; Mysuru; Satellite data. 80 1. INTRODUCTION Land use systems need thorough systematic monitoring and management to maintain food security, to minimize deforestation, conservation of biological diversity and protection of natural resources. It is necessary to enhance human occupation to the changing social, economic and natural environmental conditions. Rapid increase in population demands for more food, fodder and fuel wood have led to large scale environment degradation and ecological imbalance. In order to use land optimally, it is necessary to have firsthand information about the existing land use/land cover (LU/LC) patterns. Jacks (1946) reviewed land classification as it relates to the grouping of land according to their suitability for producing plants of economic importance. Land use refers to man’s activities and the various uses which are carried on land (Clawson and Steward, 1983). Land cover refers to natural vegetation, water bodies, rock/soils, artificial cover and other resulting due to land transformation. Land use describes how a parcel of land is used such as agriculture, settlements or industry, whereas land cover refers to the material such as vegetation, rocks or water bodies that are present on the surface (Anderson et al., 1976). The term LU/LC is closely related and interchangeable. LU/LC exposes considerable influence on the various hydrological aspects such as interception, infiltration, catchment area, evaporation and surface flow (Sreenivasalu and Vijay Kumar., 2000; Kumar et al., 1999). LU/LC provides a better understanding on the cropping pattern and spatial distribution of fallow lands, forests, grazing lands, wastelands and surface water bodies, which is vital for developmental planning (Philip and Gupta, 1990). 2. STUDY AREA 2.a Mysuru district: The study area include Cauvery and Kabini riverine plains flowing towards south easterly and both joins at Tirumalakudu Narasipura. Most parts of Nanjungudu and Mysuru taluks show gentle slope and plains with both cultivated seasonal crops such as irrigated and dry seasonal crops. The southern parts of Mysuru district is traversed by 3 sets of joints-trending in N-S, NE-SW and E-W direction 4 sets of lineaments are noticed towards NNE-SSW, NNW-SSE, NE-SW E-W. The study area is subjected to F1, F2, and F3 Sargur type of structure, deformational folds and joints formation in the past. 2.b Chamarajanagara district: The study area represents a part of Biligiri-Rangan Hill Ranges which belong to an oldest Precambrian hard rock terrain in southern Karnataka (Basavarajappa H.T., 1992). The eastern portion of the study area forms a hilly terrain with lofty mountains (Biligiri- Rangan hill ranges) raising about 1677m above MSL, run approximately towards N-S direction with thick vegetation. The western parts form a plain country with an average elevation of 686.25m with minor undulations. Honattikal, Chikkangiri betta and Honnamatti betta are some of the important tracts. The north western region is drained by major river Cauvery Kabini which flow from west to east and both the river conflicts at Tirumalkudalu Narsipura. Suvarnavathi and its tributary, Hebba halla flows from south to north in the central part of the study area, in turn drain into river Cauvery (Azadhe T. Hejabi and Basavarajappa H.T., 2011).
  • 3. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME The land adjoining the banks of meandering course of the river forms the most fertile and rich tracts of land, which is cultivated intensively for paddy and coconut. The paleo-channels of the study are also mapped using satellite data which gives additional information regarding water bearing zones like hidden aquifers, old river course, fractures and valley fills (Basavarajappa et al., 2008; 2013; Dinakar S and Basavarajappa H.T., 2005; Satish et al., 2008). 81 3. LOCATION The study area lies between 11°45’ to 12°15’N latitude and 76°45’ to 77°15’E longitude with total areal extent of 3,011 Km2 (Fig.1). The study area includes parts of 9 taluks of Karnataka state namely Yelandur, Kollegal, Chamarajanagara, Malavalli, Mysuru, Gundlupet, T. Narsipura, Nanjungudu and small patches of Tamil Nadu region (Sathyamangalam) in the southern and southeastern parts. Cauvery and Kabini are the two major rivers flowing in the study area in which Kabini is one of the tributary of River Cauvery.
  • 4. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 82 4. CLIMATE RAINFALL Generally weather is pleasant and the climate is divided into four seasons viz., pre-monsoon (Jan-Feb), south-west monsoon (May-Sept), north-east monsoon (Oct-Dec) and summer (Mar- April). The average annual rainfall is 786.8mm (2004) with a major contribution south-west monsoon (44.45%). The annual minimum rainfall is recorded as 558.07mm (Kavalande rain-gauge station) while the maximum is 1455.43mm (2010) (Biligiri-Rangan temple rain-gauge station). There is a continuous rise in temperature attaining a maximum in the month of April and minimum during December. Wind speed is moderate during south-west monsoon and relative humidity is high (Dinakar S and Basavarajappa H.T., 2005). 6. METHODS MATERIALS 6.1 Methodology: LU/LC maps are prepared using satellite image in conjunction with collateral data like SoI topomaps on 1:50,000 scale by taking permanent features such as road, tanks, co-ordinates, etc. Visual interpretation of IRS-1D PAN+LISS-III FCC of Band 2,3,4 on 1:50,000 scale is carried
  • 5. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME out and various LU/LC categories are delineated. The satellite data of two seasons is acquired (Rabi in December 2002 and Kharif in October 2003) to estimate the spatial distribution of LU/LC pattern. These categorizations are done based on the classification scheme developed by National Remote Sensing Agency (NRSA, 1995). 6.2 Materials used: a. Topomaps: 57D/16, 57H/4, 58A/13 and 58E/1. Source: (SoI, Dehradun). b. Satellite Data: IRS-1D LISS-III of 23.5m Resolution (March Nov-2001) and PAN+LISS-III of 5.8m, Date of pass 10-March-2003. Source: (National Remote Sensing Agency (NRSA), Hyderabad. c. GIS software’s: Mapinfo v7.5, Arc Info v3.2, Erdas Imagine v2011 and Arc GIS v10. d. GPS: Garmin 12 is used during Ground Truth Check (GTC). Fig.3. Flow chart showing the methodology adopted in the preparation of Land use/Land cover map Classification analysis using Geomatics: Information on land use/land cover is of utmost importance in hydrogeological investigation as the groundwater regime of a region is influenced by the type of land use/land cover. Hence the satellite based data is very much useful in preparing the precise land use/land cover maps in a very short time period as compared to the conventional methods using Geomatics. LU/LC classes such as built-up land, agricultural land (crop land), fallow land, plantation, forest (evergreen, deciduous, scrub, etc), wastelands (salt affected land, waterlogged 83 Satellite data IRS-1D, LISS-III PAN+LISS-III of 2 Season Geocoded Data Source Collateral data • SoI toposheet • Forest Map Base Map Image Analysis Classification System Preliminary Interpreted Map Image Interpretation Ground Truth Check Post Field Correction/Modification Final Land use/Land cover Map
  • 6. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME land, gullied/ravinous land, barren rock/stony waste etc), water bodies (rivers, streams, canals, lakes, etc) are delineated based on the image characteristics like tone, texture, shape, association, background, etc. The level-1 classification consists of 5 major categories such as built-up land, agricultural land, forest, wastelands, water bodies and others. These 5 major classes of level-1 are further divided into sub-categories of level-2; keeping the area under investigation. Level-3 classification has been done in detail on agricultural and forest lands to study the cropping pattern. Geomatics are the advent high-tech tool that can be used more effectively in natural resources management using Survey of India (SoI) toposheet, Satellite image with limited Ground Truth Check (GTC) using GIS software’s (Tiwari A and Rai B., 1996). This helps in analyzing, mapping and integrating the information database to generate thematic maps for development and management of natural resources (NRSA, 1995). Digital interpretation and post classification comparison techniques are adopted to find out the changes among various land uses over a period (Rubee and Thie, 1978; Likens and Maw, 1982; Priyakant et al., 2001). Lithological formations and geomorphological landforms are derived by visual image interpretation of IRS-1D PAN+LISS-III of False Color Composite (FCC) based on the image interpretation elements such as association, pattern, shadow, shape, size, tone, texture etc., and verified during the field visits. Drainage and slope maps are digitized using Survey of India (SoI) toposheets of 1:50,000 scale. 84 7. LEVEL-1 CLASSIFICATION 7.1 Built-up land: These are the land surfaces of man-made constructions due to non-agricultural use including buildings, transportation network, communication, industrial, commercial complexes, utilities and services in association with water, vegetation and vacant lands. Collectively, cities, towns and habitations are included under this category. The total aerial extent of built-up land is 61.71 Km2 (2.05%). 7.1.1 Urban (Towns and Cities): Land used for human settlement of population more than 5000 of which more than 80% of the work forces are involved in non-agricultural activities is termed as urban land use. Most of the land covered by building structures is parks, institutions, playgrounds and other open space within built up areas. The major urban settlements are noticed in Chamarajanagara, Kollegal and Yelandur taluks. Urban land occupies an area of 9.2 Km2 (0.31%). 7.1.2 Rural (Villages): Land used for human settlement of size comparatively less than the urban settlement of which more than 80% of people are involved in agricultural activities. Though the total number of rural settlements in the study area is 601 as per the toposheet information, only 483 villages can be clearly noticed from the satellite data due to less number of houses (less than 10 houses) in a village, inter spread with trees and agriculture fields especially in South Eastern parts of study area occupied by thick forest with hilly region. The area occupied by this class is about 52.4 Km2 (1.74%). 7.2 Agricultural land: These are the land primarily used for farming, production of food, fiber, other commercial and horticultural crops. It includes land under crops (irrigated and unirrigated), fallow, plantations, etc. The area under this category is 2043.21 Km2 (67.85%). 7.2.1 Crop Land: It includes those lands with standing crops as on the date of the satellite data acquisition. The crops may be either Kharif/Rabi or Kharif and Rabi seasons or double cropped. It includes land under crops (irrigated and unirrigated), fallow, plantation, etc (NRSA, 1989). The area under crops have been identified in both during Kharif (June to September) Rabi seasons (October to February) are mapped. The land under double crop (land cultivated both during Kharif and Rabi seasons) have also been mapped and digitized.
  • 7. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 7.2.1.a Kharif: Kharif includes standing crops from June to September in associated with rainfed crops under dry land farming and limited irrigation. Kharif crops include Jowar, Ragi, Horsegram and others in the study area. The prospect of Kharif crops mainly depends upon the regularity of monsoon to some extent on irrigation facilities. The cultivated land of Kharif season on FCC shows bright red tone. The areas in single crop system with moderately deep to deep soil on nearly level to very gently sloping with good to moderate groundwater potential/accessible surface water resources or both can be put into intensive cropping system. This land occupies an area of 1160.64 Km2 (38.54%). 7.2.1.b Double Cropped: This category has been identified and mapped using the two season satellite images. Most of the double crop areas are concentrated adjacent to the river Cauvery and Kabini flowing in north-western parts of the study area. The cropping intensity is very high due to physical factors such as flat terrain, fertile soil and irrigated from canal system. Paddy, Sugarcane, Groundnut, Sunflower and others are grown in this region. On FCC, the double crop show a dark red tone with square pattern representing soil covers with higher amount of moisture near the streams. The water table is found to be at shallow level, indicating the good groundwater prospects. Higher the growth of natural vegetation; higher will be the groundwater availability. The cultivated land at elevated zones show bright red tone generally representing the less amount of moisture and deeper 85
  • 8. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME levels of groundwater prospect indicates the moderate groundwater prospect zones. Intensive agriculture is seen in north-western and central parts growing multiple crops in sequence on same land. They are mostly confined to valleys, low lands, alluvial tracts where the groundwater potential is good. The soils are deep, provide good groundwater yield with maximum nutrient holding capacity. This category covers an area of 650.35 Km2 (21.60%). 86
  • 9. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 7.2.2 Fallow land: The agricultural land which is taken up for cultivation but is temporarily allowed to rest, uncropped for one more season, but less than one year. These are particularly devoid of crops at the time; when the imagery is taken from both seasons. On FCC, fallow land shows yellow to greenish blue tone, irregular shape with varying size associated with amidst crop land as harvested agriculture field. Fallow land are noticed near the villages of Triambakapura, Tavarugottemole, Mallaipura and Galipura. The total area under this category is 6.01 Km2 (0.2%). 7.2.3 Plantations: These are agricultural land with tree plantation or fruit orchards; planned by adopting certain agricultural management techniques. It includes mainly Coconut, Mango, Arecanut, Banana, Mulberry and other horticultural nurseries are noticed in south-western parts around Chamarajanagara taluk and Southern region. These plantations are undoubtedly considered to be lucrative as compared to agriculture crops; further no tedious maintenance is required for the plantation. Huge number of eucalyptus plantation is noticed in south-eastern parts which are covered by denudation hills. Differentiation of plantation from cropland is possible by multi-temporal data of period matched harvesting time of inter-row crop/flowering of the plantation crops. Overall, Rabi season data is found to be better discrimination of plantations from croplands. The total area under this category is 226.21 Km2 (7.51%). 7.3 Forest: It is an area (within the notified forest boundary) bearing an association predominantly of trees, other vegetation types capable of producing timer and other forest products. Satellite data has become useful tool in mapping the different forest types and density classes with reliable accuracy through visual as well as digital techniques (Madhavanunni, 1992; Roy et al., 1990; Sudhakar et al., 1992). Forest cover with 40% or move vegetation density (crown cover) is called dense or closed forest; while between 10-40% of vegetation density is called as scrub whereas 10% is called as degraded forest. Forests exert influence on climate, water regime and provide shelter for wildlife and livestock (FAO, 1963). The area under this category is 676.59 Km2 (22.46%). 7.3.1 Evergreen Forest: These are the forest cover comprising thick and dense canopy of tall trees that predominantly remain green throughout the year. It includes both coniferous and tropical broad leaf evergreen trees. Semi-evergreen forest is a mixture of both deciduous and evergreen trees, however the later is predominate. Multi-temporal data and area specificity of forest type helps in discriminating evergreen forests from other forest classes. Evergreen forest occupies the hilly terrain on the south-eastern parts of “Biligiri-Rangan Hill Ranges” rises up to 1767m above MSL. The important species observed in evergreen forest are Sandalwood, Artocarpus hirstus, Maesua nagassarium, Dipterocarpus indicus, etc. The total area covered by evergreen forest is 194.84 Km2 (28.80%). 7.3.2 Deciduous forest: The forest cover predominantly comprises of deciduous species and the trees shed their leaves once in a year. Teak, Terminalia and Padauk are some of the economically important trees noticed in deciduous forest. Type, crown density and composition of forest vegetation along with degradational stage help in the analysis of deciduous forest vegetation under acceptable limits of accuracy. These deciduous forests are well intermixed with evergreen forest in south-eastern parts. Multi-temporal data, particularly during October and March/April seasons help in their discrimination from other forest types. Medium relief mountain/hill slopes occupies the north-eastern parts. On FCC, it appears as dark red to red tone mainly due to rich in timber trees like Teakwood, Rosewood, Honne, Bamboo, etc. The area occupied by this category is 431.43 Km2 (63.77%). 7.3.3 Scrub Forest: Scrub forest is associated with barren rocky/stony waste due to inadequate and erratic rainfall conditions that brings drought and extreme heat in summer season which preclude hardly in any profitable forest. Species like eucalyptus and casurina are noticed near Talakad, Mambetta, Mudukuthorai, Bilijagali mole and at the ridges of the Biligiri-Rangan Hill Range. They appear as light red to dark brown tone on standard FCC due to canopy covers. The area covered by 87
  • 10. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME this category is found to be 49.12 Km2 (7.26%). 7.3.4 Forest plantation: It is described as an area of trees with species of forestry and its importance raised on notified forest lands. These are artificially planted areas with tree cover, either in the open spaces or by clearing the existing forests for economically inferior species. The common indigenous and exotic trees of forest plantations are Teak, Sal, Chir-pine, Deodar, Casuarina, Khair and Sisoo. New and young plantations can be readily separated from contiguous forested areas. Few mass of artificial planted medicinal plantations are noticed on foot hills of Biligiri-Rangan Hills, Yelandur road. The area occupied by this class is about 1.20 Km2 (0.04%). 7.4 Wastelands: These are degraded lands which can be brought under vegetative cover with reasonable effort. These are currently under utilized and deteriorating due to lack of appropriate water soil management or on account of natural causes. Wastelands can result from inherent/imposed disabilities such as locations, environment, chemical and physical properties of the soil/financial/management constraints (NWDB, 1987). The wasteland mapping is done using the Survey of India (SoI) toposheet on 1:50,000 scale and Satellite Remote Sensing data (NRSA., 1995). Thirteen types of wastelands are identified and digitized. The total aerial extent of wasteland covers about 134.19 Km2 (4.46%). 7.4.1 Salt-affected area: The areas are delineated based on white to light blue tone and its situation. These are found in river plains and in association with irrigated lands. These are mostly white kankary soils generally showing high intensity of erosion. These areas are adversely effecting the growth of most of the plants due to the action or presence of excess soluble or high exchangeable sodium. These are well observed in the villages of Kudderu, Telukkuru, Ummattur, Heggavaddi, Dasanapura, Dodda indavadi, Yelandur, Mole and Gumballi. The area occupied by this category is 8.61 Km2 (0.29%). 7.4.2 Gullied land: Gullies are narrow and deep channels developed as a result of weaving away of soil by running water. Gullies develop from rills which are tiny channels of few centimeters deep, formed by the impact of rainfall and weaving action of runoff. They are more common on sloping land and developed by the action of concentrated runoff. In the study area, these lands are noticed in eroded plains along streams, on sloping surface made of loose sediments adjacent to pediments and residual hills which are well observed in the villages of Hyakanuru, Adibettalli, Hosahalli, Vatalupura, Bagali, etc. These areas are having entrenched drainage system, good rainfall and surface runoff. On FCC, they appears as light yellow to bluish green depending upon the surface moisture and depth of erosion with varying size. These gullies and ravines contribute to soil erosion and land degradation. The area under this class is 1.73 Km2 (0.06%). 7.4.3 Land with scrub: Scrub lands are observed along the ridges, valley complex, linear ridges and steep slope areas. Most of these areas are characterized by the presence of thorny scrub, herb species, many hillocks of steep and dombal shaped are associated with poor vegetal cover. As a consequence, severe soil erosion frequently occurs during rainy seasons and later most of the hill tops become barren/rocky. Large patches are noticed in Mudu betta, Badagalapura, Madumali, Karadi betta and adjacent to the deciduous forests. These lands are mainly observed in North-Eastern parts of hilly regions with an aerial extent of 113.29 Km2 (3.76%). 7.4.4 Land without scrub: Land under this class is generally prone to degradation/deterioration and may not have scrub cover. It is confined to (relatively) higher topography such as uplands or high grounds etc excluding the hills and mountainous terrain. On FCC, they appear as light yellow to brown to greenish blue, varying in size associated with gentle relief with moderate slope in plain and foothills surrounded by agricultural lands. They are observed in the villages of Honnegaudanahalli, Kalibasavanhundi and Medini with an aerial extent of 3.14 Km2 (0.10%). 88
  • 11. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 7.4.5 Sandy areas: Sandy areas are developed in situ or transported by Aeolian or fluvial processes. These occur as a sandy plain in the form of sand dunes, beach sands and dune (wind blown) sands. Patches of sand bars are noticed along the river Cauvery and meandering areas in the villages of Kukkur, Talakad, Malingi and Hampapura. Very high reflectivity is observed in all the spectral bands; particularly the infrared region provides very high confidence level as compared to salt affected soils. The area occupied by this category is 1.70 Km2 (0.06%). 7.4.6 Stony Waste: These are the lands characterized by exposed massive rocks, sheet rocks, stony pavements or land with excessive surface, accumulation of stones that render them unsuitable for production of any green biomass. Such lands are easily discriminated from other categories of wastelands due to their characteristic spectral response. On FCC, they appears as greenish blue to yellow to brownish in tone with varying size associated with steep isolated hillocks, hill slopes and eroded plains. They occurs as a linear form within the plain land mainly due to varying lithology found in the villages of Maliyur, Kalipura, Jyothigaudanapura, Mariyalhundi and Masagapura. The area occupied by this category is 5.72 Km2 (0.19%). 7.5 Water bodies: This class comprises areas of surface water, either impounded in the form of ponds, lakes and reservoirs or flowing as streams, rivers, canal, etc. These are clearly observed on standard FCC in different shades of blackish blue to light blue color depending on the depth of water bodies. The area occupied by this category is 95.51 Km2 (3.17%). 7.5.1 River: It is the natural course of water flowing openly on the land surface along a definite channel. It may be a seasonal or perennial river system. The major parts of the study area are drained by river Cauvery and its tributaries Kabini, Suvarnavathi and Chikkahole. River Cauvery flows from West to East in Northern parts of the study area. River Kabini flows towards easterly direction joining the river Cauvery at Tiramalakudalu Narasipura. Rivers Suvarnavathi and Chikkahole flow from south towards north at central parts and intern drain into river Cauvery at Hampapura village. The area occupied by river Cauvery, Kabini, Suvarnavathi and Chikkahole is 25.22 Km2, 5.06 Km2, 4.13 Km2, and 0.82 Km2 respectively. 7.5.2 Reservoirs: A reservoir is an artificial lake created by construction of a dam across the river specifically for the generation of hydro-electric power, irrigation, water supply for domestic/industrial uses and flood control. The reservoir would affect the land around the reservoir rim. The introduction of a huge reservoir would be disturbing the delicate balance between soil, water and plants through rise in groundwater table (water-logging), (Piyoosh Rautela, 2002). The study area is endowed with 3 reservoirs namely Suvarnavathi Reservoir, Gundal Reservoir and Chikkahole Reservoir covering area of 4.51 Km2. 7.5.2.a Chikkhole reservoir: A masonry dam 894.05 m in length and 25 m in height has been constructed across Chikkhole near Srirangapura about 12.8 Km southeast of Chamarajanagara- Satyamangalam road. Two canals mainly right and left bank are constructed for irrigation purpose. In addition to the above, two bunds have been constructed across Suvarnavathi on the downstream side near Attgulipura and Hongalavadi where the channels are taken out for irrigation. These channels also act as feeding channels to various tanks of Ramasamudram, Homma, Kempanapura, etc. The area occupied by this category is 1.38 Km2 (0.05%). 7.5.2.b Gundal Reservoir: A rock filled earthen dam is constructed across the Gundal stream by 11.2 Km South-East of Kollegal town. The length of the dam is 40.23 m and height is 29.56 m. The reservoir has been constructed in between two hillocks of Biligiri-Rangan Hills. The catchment of the reservoir is highly undulating lofty mountains covered by evergreen and deciduous forest. The area occupied by the Gundal reservoir is 1.41 Km2 (0.05%). 89
  • 12. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 7.5.2.c Suvarnavathi Reservoir: The length of the dam is 1146.80 m and its height is 25.92 m located at Attigalipura village, Chamarajanagara town covering an area of about 1.72 Km2 (0.06%). The upstream of the reservoir is occupied by forest plantations, while the downstream sides are occupied by agricultural lands. The reservoir is later divided into right and left bank canals. Right bank canal runs about 19.5 Km, but only a small portion of the canal is useful for irrigation purpose and the remaining portion of the canal runs in undulating terrain covered by plantations. Left bank canal runs about 3.9 Km and benefits irrigation purposes. Table.1: Land Use/Land Cover Classification Analysis of the study area LEVEL – 1 LEVEL – 2 LEVEL - 3 90 1 Built – up land 1.1 Towns/Cities 1.2 Villages 2 Agricultural Land 2.1 Crop land 2.1.1 Kharif 2.1.2 Tank irrigated kharif 2.1.3 Rabi 2.1.4 Kharif + Rabi (Double cropped) 2.2 Fallow 2.3 Plantation 3 Forest 3.1 Evergreen/ Semi evergreen 3.1.1 Dense 3.2.2 Open 3.2 Deciduous (Moist Dry) 3.2.1 Dense 3.2.2 Open 3.3 Scrub Forest 3.4 Forest Blank 3.5 Forest Plantations 3.6 Mangroves 4 Wastelands 4.1 Salt Affected Land 4.2 Waterlogged Land 4.3 Marshy / Swampy Land 4.4 Gullied / Ravinous Land 4.5 Land with scrub 4.6 Land without scrub 4.7 Sandy area (Coastal Desertic) 4.8 Mining/ Industrial Wasteland 4.9 Barren Rocky / Stony Waste/ Sheet Rock Area 5 Water Bodies 5.1 River / Stream 5.2 Canals 5.3 Lake / Reservoirs / Tanks 6 Others 6.1 Shifting Cultivation 6.2 Grassland/ Grazing land 6.2.1 Dense 6.2.2 Degraded 6.3 Salt Pans 6.4 Snow covered / Glacial Area
  • 13. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME Table.2. Image Characteristics of various land use/land cover categories of the study area (as seen in FCC) LU/LC category Tone/ color Size Shape Texture Pattern Built-up land Dark bluish green Small to big Irregular Coarse Clustered to Scattered 91 Crop land Bright red to red Varying in size Regular to Irregular Medium to Smooth Contiquous to Non- Contiguous Fallow land Yellow to greenish blue Small to big Reqular to Irregular Medium to Smooth Contiquous to Non- Contiguous Plantation Dark red to red Small to large Reqular to Irregular Coarse to medium Dispersed contiguous Evergreen forest Dark red Varying in size Irregular, discontinous Smooth to medium (depends on crown density) Contiquous to Non- Contiguous Deciduous forest Red Varying in size Irregular, discontinous Smooth to medium (depends on crown density) Contiquous to Non- Contiguous Scrub forest light red to brown (depends on canopy cover) Varying in size Irregular, discontinous Coarse to mottled Contiquous to Non- Contiguous Forest plantation Light red to red Varying in size Reqular to Irregular Smooth to medium Contiquous to Non- Contiguous Salt affected land White to light blue Small to medium Irregular, discontinous Smooth to mottled Dispersed, non-contiguous Gullied land Light yellow to bluish green Varying in size Reqular, broken very coarse to coarse Dendritic to sub-dendritic Land with scrub Light yellow to brown to greenish blue Varying in size Irregular, discontinous Coarse to mottled Contiquous dispersed Land without scrub Light yellow to brown Varying in size Irregular, discontinous Coarse to mottled Contiquous dispersed Sandy area White to light yellow Varying in size Irregular, convex Coarse to mottled Dispersed contiguous Stony waste Greenish blue to yellow to brownish Varying in size Irregular, discontinous Coarse to medium Linear to contiguous and dispressed River or stream Light blue to dark blue Long narrow and wide Irregular, Sinuous Smooth to medium Contiguous, dendritic/sub-dendriti Water bodies Light blue to dark blue (Subject to depth, weeds) Small, medium, large regular to Irregular Smooth to mottled Non-contiquous dispersed Table.3: Level-1 Land Use/Land Cover Category in the Study Area Sl. No Classification –level 1 Area in Km2 Percentage (%) 1. Built-up land 61.71 2.05 2. Agriculture land 2043.21 67.85 3. Wasteland 134.19 4.46 4. Forest class 676.59 22.47 5. Water body 95.51 3.17 Total 3011.21 100.00
  • 14. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME Table.4: Level-2 land use/land cover categories in the study area Level-1 Level-2 Area in Km2 Percentage (%) 1. Built-up land 1.1 Urban area 9.26 0.31 1.2 Rural area 52.45 1.74 2. Agricultural land 2.1 Kharif 1160.64 38.54 2.2 Double crop 650.35 21.60 2.3 Fallow 6.01 0.20 2.4 Plantation 226.21 7.51 3. Forest land 3.1 Evergreen forest 194.84 6.47 3.2 Deciduous forest 431.43 14.33 3.3 Scrub forest 49.12 1.63 3.4 Forest plantation 1.20 0.04 4. Wasteland 4.1 Salt affected land 8.61 0.29 4.2 Gullied land 1.73 0.06 4.3 Land with scrub 113.29 3.76 4.4 Land without scrub 3.14 0.10 4.5 Sandy area 1.70 0.06 4.6 Stony waste 5.72 0.19 5. Water body 5.1 Tank 52.38 1.74 5.2 Cauvery River 25.22 0.84 5.3 Chikka hole River 0.82 0.03 5.4 Chikka hole reservoir 1.38 0.05 5.5 Gundal reservoir 1.41 0.05 5.6 Kabani River 5.06 0.17 5.7 Stream 3.39 0.11 5.8 Suvarnavathi River 4.13 0.14 5.9 Suvarnavathi reservoir 1.72 0.06 Total area 3011.21 100.00 92
  • 15. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 93 8. RESULTS DISCUSSION The impact of land use in prevailing surface and sub-surface hydrologic conditions is remarkably high. Within the basin, the dynamics of hydrologic processes are governed partially by the temporal and spatial characteristics of inputs, outputs and land use conditions (Shih, 1996). The physiography and land characteristics have fabricated the existing land use with varying degree of biodiversity. Change in land use is mainly due to the hydrological factors (Saraf and Choudhary., 1998). In the present study, northwest and southwestern parts are almost flat in topography representing agricultural fields, while eastern and southeastern parts are undulated hilly terrain interspersed with cultivated lands confined along the valley. A large number of irrigation/recharge tanks in the area contribute immensely in recharging the aquifers. Aquifers closer to these tanks have much better prospects compare to those located away from the tanks. The water tanks are located mostly along the drainage course within the pediplain, which are often structurally controlled terrain. Kharif crops are dependent mainly of rainfall and occupy the maximum areal extent of 1160.64 Km2 that indirectly reflect that groundwater dependent crops are less. Double crops are noticed adjacent to the perennial rivers Kabini and Cauvery which provide well developed canal system for irrigation purpose. Small isolated hillocks found in gneissic terrain are covered by scrub lands due to lack of water potential. Maximum extent of forest land occurs in Biligiri-Rangan Hill Ranges which are thickly vegetated with evergreen and deciduous forest. Though it is thickly vegetated, groundwater condition is very poor due to its topography, steep slope and high runoff conditions. Denudational hills are covered by thick forest, residual hills and pediments are dominated by scrub forest or land with rock exposure. Pediplains are single crops with sparse agriculture depends on availability of water, while alluvial plains constitute double crops with thick vegetation. Wherever the obstructions/voids are encountered, Ground Truth Checks (GTC) are undertaken to verify the LU/LC patterns during the interpretation.
  • 16. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 94 9. CONCLUSIONS The level-1 classification consists of 5 major categories such as built-up land, agricultural land, forest, wastelands, water bodies and others. These 5 major classes of level-1 are further divided into sub-categories of level-2; keeping the area under investigation. Level-3 classification has been done in detail on agricultural and forest lands to study the cropping pattern. Multidisciplinary approach and research in identifying the specific land is very much needed for better utilization, maintenance of soil fertility and rehabilitation of degraded lands. Land use/land cover provides an idea of relative infiltration capacity of different land cover types. About 67.85% of land is occupied by agricultural land, in which 38.54% of land is occupied by Kharif crops on pediplain region which are rainfed crops. Double crops are noticed in alluvial plains, canal command and in tank command areas. Wastelands such as stony waste and scrub lands are observed in uplands, all along the fringes of the forest areas. Different classes of vegetation tend to slow down and intercept the surface flow of runoff water leading to maximize infiltration. Large areas of watersheds are under protected forest, besides intensive social forestry programme is evident through large patches of plantation, discernible in satellite imagery. The valley fills are intensively cultivated which gives high productivity due to better sediment deposit and soil moisture availability. Land-use is obviously determined by environmental factors such as soil characteristics, climate, topography and vegetation but also reflects the importance of land as a fundamental factor of production. Thus understanding past changes on land use and projecting future land-use programmes require understanding the interactions of basic human forces that motivate production and consumption. Land use/land cover in the form of maps, statistical data helps in spatial planning, management, utilization of land for agriculture, forestry, pasture, economic production, agricultural planning, settlement surveys, environmental studies and operational planning based on agro-climatic zones etc. ACKNOWLEDGEMENT The authors are indepthly acknowledged Prof. S. Govindaiah, Chairman, Department of Studies in Earth Science, CAS in Precambrian Geology, Manasagangothri, University of Mysore, Mysore; Dr. M.V Satish, Rolta India Ltd, Mumbai, Nagesh, MGD, Govt. of Karnataka for their support in GIS work and UGC, New Delhi for financial support. REFERENCE 1. Anderson J.R., Hardy E.T., Roach J.T and Witmer R.E (1976). A land use and land cover classification system for use with Remote Sensor data, USGS, Prof. Vol.446, Pp: 1-26. 2. Azadhe Taghinia Hejabi and Basavarajappa H.T (2011). Hevay metal pollution in water and sediments in Kabini River, Karnataka, India, Environmental Monitoring Assessment, DOI 10.1007/s10661-010-1854-0, 8th Jan-2011, Pp:1-13. 3. Basavarajappa H.T (1992). Petrology, geochemistry and fluid inclusions studies of charnockites and associated rocks around Biligiri-Rangan hills, Karnataka, India Unpub. PhD thesis, University of Mysore, Mysore, Pp: 1-96. 4. Basavarajappa H.T, Dinakar S, Satish M.V and Honne Gowda H (2008). Morphometric analysis of sub-watersheds of river Suvarnavathi Catchment, Chamarajanagara District, Karnataka using GIS, Remote Sensing and GIS Applications, Edited Volume, University of Mysore, Vol.1, No.1, Pp.45-53.
  • 17. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 5. Basavarajappa H.T, Dinakar S, Satish M.V, Nagesh D, Balasubramanian A and Manjunatha M.C (2013). Delineation of Groundwater Potential Zones in Hard Rock Terrain of Kollegal Shear Zone (KSZ), South India, using Remote Sensing and GIS, International Journal of Earth Sciences and Engineering (IJEE), Cafet-Innova, Hydrology Water Resource Management- special issue, Vol.6, No.5, Pp: 1185-1194. 6. Clawson M. (1965). Land use information committee on land use statistics resources for the future, The Johns Hoppkins Press, Baltimore, USA. 7. Dinakar S. and Basavarajappa H.T (2005). Geological, Geomorphological and Landuse/cover studies using Remote Sensing and GIS around Kollegal Shear Zone, South India, unpub. Ph.D. thesis, Univ. of Mysore, Pp:1-191. 8. FAO, (1963). World Forest Inventory, Food and Agriculture Orgnisation of United Nations, 95 Rome. 9. Jacks G.V (1946). Land commission for land use planning, technical communication, No.43, Imperial Bureau of Soil Science, Harpenden England, Pp:90. 10. Kumar A., Tomas S., and Prasad L.B (1999). Analysis of fracture inferred from DTM and remotely sensed data for groundwater development potential zones through remote sensing and a geographical information system, Int. J. Remote Sensing, Vol.26, No.2, Pp: 105-114. 11. Likens W and Maw K, (1982). Hierarchial modeling for image classification. Proc. Remote Sensing with Special Emphasis on Output to Geographic Information System in the 1980’s, PECORA VII, South Dakota, USA, Pp: 290-300. 12. Madhavanunni N.V (1992). Forest and ecology application of IRS-1A data. Natural resources management – A new perspective, Publication and Public Relations Unit, ISRO-Hq, Bangalore, Pp: 108-119. 13. NRSA (1989). Manual of Nationwide land use/land cover mapping using satellite imagery, part-1, Balanagar, Hyderabad. 14. NRSA (1995). Integrated mission for sustainable development, Technical Guidelines, National Remote Sensing Agency, Department of Space, Govt. of India, Hyderabad. 15. NWDB (1987). Description and Classification of Wastelands, National Wastelands Development Board, Ministry of Environmental and Forest, Govt. of India, New Delhi. 16. Philip G and Gupta R.A., (1990). Channel migration studies in the middle Ganga basin, India using Remote sensing data, Int. J.Remote Sensing, Vol.10, No.6, Pp: 1141-1149. 17. Piyoosh Rautela, Rahul Rakshit, Jha V.K., Rajesh Kumar Gupta and Ashish Munshi (2002). GIS and Remote Sensing based study of the reservoir-induced land-use/land-cover changes in the catchment of Tehri dam in Garhwal Himalaya, Uttaranchal (India), Current Science, Vol.83, No.3, Pp: 309-311. 18. Priyakant G.S., Kanade A.S., Deshpande V.K., and Kondawar (2001). Application of Remote Sensing data and Geographical Information Systems for land use/land cover changes analysis in mining areas – A case study, Muralikrishna I.V., (Ed). ICORG Spatial Information Technology: Remote Sensing and Geographical Systems, BS Publications, Hyderabad, India, Vol.2, Pp: 520-525. 19. Roy P.S., Diwakar P.G., Vohra T.P.S and Bhan S.K (1990). Forest resources management using Indian Remote Sensing Satellite data, Asian-Pacific Remote Sensing J., Vol.3, No.1, Pp: 11-16. 20. Rubee C.D and Thie J, (1978). Land use monitoring with Landsat digital data in southwestern Monitoba, Proc. 5th Canadian Symp. on Remote Sensing of Environment, Victoria, British Columbia, Pp: 136-149. 21. Saraf A.K and Choudhary P.Q (1998). Integrated Remote Sensing and GIS for Groundwater exploration and identification of artificial recharge sites, Int. J.Remote Sensing, Vol.19, No.10, Pp: 1825-1841.
  • 18. International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 – 6308 (Print), ISSN 0976 – 6316(Online), Volume 5, Issue 11, November (2014), pp. 79-96 © IAEME 22. Satish M.V, Dinakar S and Basavarajappa H.T (2008). Quantitative morphometric analysis of sub-watersheds in and around Yelandur Taluk, Chamarajanagar District, using GIS, Remote Sensing and GIS Applications, Edited Vol.01, No.1, Pp:156-164. 23. Shih S.F (1996). Integration of Remote Sensing and GIS for Hydrologic studies, Geographical Information System in Hydrology, Kluwer Academic Publishers, The Netherlands, Pp: 15-42. 24. Sreenivasalu V. and Vijay Kumar (2000). Land use/land cover mapping and change detection using satellite data – A case study of Devak catchment, Jammu and Kashmir, Proc. of ICORG, Vol.1, Feb, Hyderabad, Pp:520-525. 25. Sudhakar S., Krishnan N., Das P and Raha A.K (1992). Forest cover mapping of Midnapore forest division using IRS-1A LISS-II data, Natural resources management – A new perspective, Publication and Public Relations Unit, ISRO-Hq, Bangalore, Pp: 314-319. 26. Tiwari A and Rai B., (1996). Hydrogeomorphological mapping for groundwater prospecting using Landsat MSS Images – A case study for part of Dhadabad district, J. Indian Soc. Remote Sensing, Vol.24, No.4, Pp: 281-285. 27. Basavarajappa H.T, Parviz Tazdari and Manjunatha M.C (2013a). Integration of Soil and Lineament on Suitable Landfill Site Selection and Environmental Appraisal around Mysore City, Karnataka, India, using Remote Sensing and GIS Techniques, International Journal of Civil Engineering and Technology (IJCIET), Chennai, Vol.4, Issue.6, Pp: 177-185. 28. A.N.Satyanarayana, Dr Y.Venkatarami Reddy and B.C.S.Rao, “Remote Sensing Satellite Data Demodulation and Bit Synchronization” International Journal of Advanced Research in Engineering Technology (IJARET), Volume 4, Issue 3, 2014, pp. 1 - 12, ISSN Print: 0976- 6480, ISSN Online: 0976-6499, Published by IAEME. 29. Basavarajappa H.T, Manjunatha M.C and Jeevan L, “Sand Mining, Management and Its Environmental Impact in Cauvery and Kabini River Basins of Mysore District, Karnataka, India Using Geomatics Techniques” International Journal of Civil Engineering Technology (IJCIET), Volume 5, Issue 9, 2012, pp. 169 - 180, ISSN Print: 0976 – 6308, ISSN Online: 0976 – 6316. 30. Basavarajappa H.T and Manjunatha M.C, “Geoinformatic Techniques on Mapping And Reclamation Of Wastelands In Chitradurga District, Karnataka, India” International journal of Computer Engineering Technology (IJCET), Volume 5, Issue 7, 2014, pp. 99 - 110, ISSN Print: 0976 – 6367, ISSN Online: 0976 – 6375. 96