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Urbanization of mancherial town

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Urbanization of Mancherial Town (by Time step analysis ).Four years data Landsat data is considered for the analysis

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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. Conclusion 2
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) 3
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 4
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 5
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. 6
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. 7 where , SWIR: shortwave-infrared & NIR: near-infrared NDBI = (SWIR-NIR)/(SWIR+NIR)
Case Study Urbanization 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 8 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 work 9
Methodology Satellite Data Applying of spatial operations Final Builtup maps/Compilation of final results Processing of thematic map Time step of Spatial Data 10
Mancherial Outline Development Plan 11 Source Director of town and country planning
2001 2005 20102016 Trend of Urbanization :Mancherial Town 12
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. 13
Results A R E A YEARS 14 YEARS 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. 15
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 17

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Urbanization of mancherial town

  • 1. A project on URBANIZATION OF MANCHERIAL TOWN Submitted by Mohd Arbaaz 201511603 D Avinash 201511599
  • 2. Content 1. Abstract 2. Specification Tables 3. Introduction 4. Case study 5. Methodology 6. Results 7. Limitation 8. Conclusion 2
  • 3. 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) 3
  • 4. 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 4
  • 5. 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 5
  • 6. 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. 6
  • 7. 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. 7 where , SWIR: shortwave-infrared & NIR: near-infrared NDBI = (SWIR-NIR)/(SWIR+NIR)
  • 8. Case Study Urbanization 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 8 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.
  • 9. 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 work 9
  • 10. Methodology Satellite Data Applying of spatial operations Final Builtup maps/Compilation of final results Processing of thematic map Time step of Spatial Data 10
  • 11. Mancherial Outline Development Plan 11 Source Director of town and country planning
  • 13. 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. 13
  • 15. 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. 15
  • 16. 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
  • 17. Reference 1. www.usgsearthexplorer.com 2. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4752730/ 3. https://www.harrisgeospatial.com/docs/backgroundotherindices.html 17