Land Use and Land Cover Analysis using Supervised Classification

Land Use and Land Cover Analysis using Supervised Classification

Shashikiran DC, Syed Ayub, Syed Sufiyan, Syed Nafeesulla, Ummer Ahamed

Civil Engineering Department,

Jain Institute of Technology, Davangere, India

Abstract Land use Land cover change study is veritably important aspect of the natural coffers data base study. The present study aims to find out the LULC features of Aghanashini swash receptacle of the Western Ghats region, Karnataka, India. The Landsat 8 OLS satellite imagery are used for relating the land use/land cover classes. ERDAS IMAGINE software is used to define the land use and land cover features of study area. The land use and land cover analysis of Aghanashini river catchment area has been tried grounded on thematic mapping of the area using satellite image.

Key Words; Land use and Land cover, Remote sensing and GIS Techniques, Aghanashini river, Landsat satellite 8 OLS.

I. INTRODUCTION

The LULC pattern of a region is an outgrowth fig.1.0 study chart of Uttara kannada natural and socio economic profitable factors and their applications by man in time and space. Land cover is becoming a scarce resource due to immense agricultural and demographic pressure. Using of Remote sensing technique for accurate evaluation of the land cover mapping is gaining main concern in recent times. Further Quantification of land covers changes by using latest tools and techniques such as remote sensing, GIS and GPS along with ground truth data/ google earth data can generate sound scientific methods of natural resources conservation. Therefore, efforts have been made in this direction to study the changes in land covers in Aghanashini river basin of the Western Ghats region, Karnataka.

II. STUDY AREA Place Uttar Kannada District Longitude 74º05' to 75º 05' E Latitude 13º55' to 15º32' N

Study area is considered Aghanashini river basin of the western Ghats region, Karnataka.

Fig 1. Study map of Uttara kannada

1. OBJECTIVES

   • To delineate the land cover changes spatially and quantitatively.

   • To prepare the composite image of the study area using ERDAS imagine.

   • To develop thematic maps of the study area.

   • Identify various types of modifications carried out on agricultural land, open water bodies etc in study area.

2. MATERIALS AND METHODOLOGY

   Goggle earth Data can induce sound scientific style of data processing in flow chart outlines the abstract natural coffers consevations Thus , sweats have been framework for detecting and prognosticating LULC changes in the study area.

   Fig 2. Flow Chart of the Methodology

   Steps involved in methodology 1.Data acquisitions and land use 2.Image preproccesing

   1. Land Cover Classification

      Both supervised and unsupervised classifications will be used to identify land use types in the study area. six LULC types

      Table 1: Composite Table of Area Classified into Various Land Cover

      Sl No	Classification Of Land Cover Types
      1	Agricultural land
      2	Built-up land
      3	Forest
      4	Grassland / Grazing land
      5	Others
      6	Wastelands

   2. Classification Accuracy Assessment

   .

3. RESULTS AND DISCUSSIONS CATCHMENT AREA (AGHANASHINI RIVER)

   • Catchment name: Aghanashini river basin

   • Shape of the catchment: Fern splint type

   • Type of stream: Perennial streams .

   • Ends at: Uppinpatna, Kumta, Uttar Kannada district (name town, district, region, etc.).

   • Drainage length of catchment area: 3362.31 km.

   • Drain into: Arabian Sea at Tadri (estuary- kumta taluk, uttar Kannada).

   • Catchment area: Approx. 1456km2

   • Elevation: Ranges between < 0m and 786m w.r.t Mean Sea Level.

   Fig 3. Catchment area map of Aghanashini River

   Fig.4 Water bodies map of Aghanashini River

   Fig.5 Drainage map of Aghanashini River

   Table 2: Drainage length

   Sum of Shape_Length	Total
   Total	3362310.217

   That is, the aghanashini river basin is having the overall length of 3362.31 km.

   Fig. 6 Land use and land cover map of Aghanashini River

   Total area of LULC classification=145616.737 ha

   Table 3: Representation of LULC classification in terms of % of area acquired

   LULC CLASSIFICATION	% OF ACQUIRED	AREA
   Agricultural land	13.70
   Built-up land	2.14

   Forest	68.61
   Grassland/Grazingland	3.27
   Others	7.33
   Wastelands	1.93
   Water Bodies	2.65
   Wetlands	0.37

   of 88.24 % for 2020 LULC map with a kappa coefficient of 0.82 which is very good in nature and reflect the ground reality.

   Fig 7. Representation of various areas in terms of pie chart

   Table 4: Accuracy Totals of the LULC Map (2020)

   Class Name	Referenc e Totals	Classifie d Totals	Numbe r Correc t	Producer s Accuracy (%)	Users Accurac y
   Agricultur al Land	154	150	122	79.22	81.33
   Barren Land	162	150	143	94.44	95.33
   Forest	144	150	127	88.19	84.66
   Habitat	147	150	124	84.35	82.66
   Water Bodies	143	150	137	95.80	91.33
   Total	750	750	653

   Table 5: Error Matrix of 2020 LULC Map Reference Data

   LULC map	Overall classification accuracy in %	Kappa coefficient
   2020	88.24	0.82

   Table 6: Comparison of results of accuracy assessment and kappa co-efficient of the respective LULC maps

   Reference Data
   Classified Data	Water Bodies	Forest	Habitat	Barren Land	Agri. Land	Totals
   Water Bodies	122	0	5	7	16	150
   Forest	8	127	0	9	6	150
   Built up Area	13	0	124	3	10	150
   Barren Land	0	0	7	143	0	150
   Agricultur al Land	0	17	11	0	122	150
   Total	143	144	147	162	154	750

   With reference to above table 5.6, LULC impact analysis has been performed with an overall classification accuracy

4. CONCLUSIONS

   • RS has proved it is the important tool for non-stop supervision and quantification across varied spatial and temporal scales which are else not possible to attempt essay traditional mapping techniques.

   • The above presented work demonstrate systematic approach of LULC mapping by using the ERDAS IMAGINE & GPS data for generating estimates of different areas acquired in the Aghanashini river basin.

   • The total catchment area of Aghanashini River is estimated to be 1456.017 km2, the forest and agricultural land occupied the major part of the river basin with 68.61 and 13.70 percent of the total area.

   • And the other classification like Built-up land, grassland, water bodies, wetlands, wastelands, and other minor groups have occupied areas in a very small extent, i.e about below than 8 percent of the sum area.

   • The redounded drainage of catchment area is dendritic in nature.

5. SCOPE FOR FUTURE WORK

• The above study for the Aghanashini river basin can be continued through the comparative analysis of LULC changes over the decades to the present time.

• This present study can also be continued for future flood forecasting especially in North Karnataka.

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