A project on

URBANIZATION OF MANCHERIAL TOWN

Submitted by

Mohd Arbaaz 201511603

D Avinash 201511599

Content

1. Abstract

2. Specification Tables

3. Introduction

4. Case study

5. Methodology

6. Results

7. Limitation

8. Conclusion2

Abstract

By taking help of satellite data we have conducted studies on urbanization.These

datasets consists four different years of Landsat Images. A Detailed description

using flowchart is given to show how to use this data to produce land use/cover

maps.The land use/cove maps were used to know the urban growth in

Mancherial Town Telangana (18.8756°N,78.4591°E)

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Specification Table

Subject area GIS (Geography)

Type of data Satellite image, figure, graph

How data was

acquired

Download from USGS earth explorer website

Data format Img, Tif, Jpg

Experimental

features

Image classification, combined satellite data in GIS with the help of

Q-GIS software

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Introduction

Name: Mancherial

Coordinates: 18°53'1"N 79°26'41"E

Number of villages and town: 28

Total Population: 86,911

Density: 2,400/km2

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Introduction

1. Landsat Thematic Mapper (TM) :images consist of seven spectral bands

with a spatial resolution of 30 meters for Bands 1 to 5 and 7.

2.Landsat 8 Operational Land Imager (OLI): images consist of nine

spectral bands with a spatial resolution of 30 meters for Bands 1 to 7 and 9.

We have used Landsat 5 TM shortwave-infrared (SWIR) and near-infrared

(NIR) bands for 2001,2005,2010 and Landsat 8 for 2016.

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Introduction

Normalized Difference Built-Up Index (NDBI)

This index highlights urban areas where there is typically a higher reflectance in

the shortwave-infrared (SWIR) region, compared to the near-infrared (NIR)

region. Applications include watershed runoff predictions and land-use planning.

The NDBI was originally developed for use with Landsat TM bands 5 and 4.

However, it will work with any multispectral sensor with a SWIR band between

1.55-1.75 µm and a NIR band between 0.76-0.9 µm.

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where , SWIR: shortwave-infrared & NIR: near-infrared

NDBI = (SWIR-NIR)/(SWIR+NIR)

Case StudyUrbanization data of Samara city, Russia by using ArcGIS 10.1 tool.

For Urban Expansion

LUDI=Ua−UbUa×T×100%

Ua and Ub denote areas of a certain land use class at time a and time b respectively

T denotes the length of time from time a to time b

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A method has been developed for urbanization by using satellite data and socio-economic data. These

datasets consists three decade Landsat images and population data.

Case Study

This data explores the spatial-temporal

pattern of land use/cove change with

applicability and effectiveness of

satellite data with socio-economic data.

Data show urban expansion with fast

economic development of Samara city,

Russia.

Satellite data with ground truth and

population data shows similarity,It is

prove the accuracy of satellite data and

its analysis work9

Methodology

Satellite Data

Applying of spatial

operations

Final Builtup

maps/Compilation of

final results

Processing of thematic

map

Time step of Spatial

Data

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Mancherial Outline Development Plan

11Source Director of town and country planning

2001

2005

20102016

Trend of Urbanization :Mancherial

Town

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Results: Reasons for rapid growth

Years Area

2001 11.7639

2005 19.8675

2010 22.4793

2016 24.55

● On the bank of river Godavari town

started growing initially.

● It has good connectivity of railways

and road ways

● Center and the south-west part of

the town growth rapidly because of

good connectivity business activity.

● Now it had become administrative

district.

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Results

A

R

E

A

YEARS 14YEARS

A

R

E

A

Limitation

The boundary (polygon) taken here was taken from the polygon which was drawn from

the google.

There may be minor errors in data analysis due to use age of satellite data.

We have considered different aspects in built up area like open (cast) coal mining,

afforestation, roads ways and railways.

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Conclusion

Data of urban expansion, land use/cover is very useful to local government and urban

planners for the future plans to sustainable development of the city.

There is Rapid growth over a past years due to urbanization in Mancherial town.

In 2001 only center and few parts of mancherial had urbanized.

In 2005 south west and center mancherial had grown.

In 2010 along with south west ,east part started growing,In 2016 west and east part has

grown rapidly.

In the south-east part of mancherial there is coal mine(open casting),so there will not be

much growth in this area 16

Reference

1. www.usgsearthexplorer.com

2. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4752730/

3. https://www.harrisgeospatial.com/docs/backgroundotherindices.html

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