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Municipality of class D
Population under 15000 to 25000
Different departments of municipality
• Sewerage
• Public toilets
• Agricultural department
• Tax department
• Water Facility
• Health centre
• Fire service station
• Water facility
• Input
1. current and future consumption data
2. Population data
3. Landuse maps
4. Water meter data
• Output
1. Water distribution network
2. Water usage for the future growth area.
1. Agricultural sector:
Input
Satellite imagery of different spatial spectral and temporal resolutions for study of
agricultural mapping.
Output
Crop health
Crop assessment
Change detection
Environmental analysis
Irrigated landscapes
Soil analysis
Yield determination
• Input
Elevation table
Output
Drainage
Levelling
Preserving environment
• Sewerage analysis
Input
1. Administrative boundaries map
2. Landuse maps
3. Reserved area (forest and historical sites map)
4. Infrastructure map
5. Geographical map(showing contours river vegetation and
water bodies)
6. Control points (showing manholes)
Output
DEM representing decision supporting systems for
identification of suitable sewerage site
• Public toilet
• Input
1. No of visitors per site(survey)
2. Location of Petrol pumps,bus
stands,mosques,restaurants,shops etc.
3. Exisiting geodatabase with layer containing existing public
toilets.
• Output
Creation of various thematic maps for decision maker showing
planned and existing toilets which may be used for public toilets.
Distribution of public toilets
• Tax department
Input
1. Road network
2. Plot information
3. Classification of roads
4. Building plans
5. Ward wise classification
6. Relational table (with respect to ward and classified road)
• Output
Fire service station
• Input data
1. Street data with address points or address ranges
2. Water lines and hydrants placement
3. Fire department information including existing fire station
location of historical incident reports, demand zones
4. Time impedance related to locations
Output 
Representation of location for plotting fire services related to
existing and required area
Public health centre
• Input
1. Existing layer of health center
2. Ward wise census data (specially slum area details)
3. Income details of people (class of people -low, middle, high)
4. Buffer around health centre
• Output ->
Location of PHC centre for serving large number of people

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Municipality of class d

  • 1. Municipality of class D Population under 15000 to 25000
  • 2. Different departments of municipality • Sewerage • Public toilets • Agricultural department • Tax department • Water Facility • Health centre • Fire service station
  • 3. • Water facility • Input 1. current and future consumption data 2. Population data 3. Landuse maps 4. Water meter data • Output 1. Water distribution network 2. Water usage for the future growth area.
  • 4. 1. Agricultural sector: Input Satellite imagery of different spatial spectral and temporal resolutions for study of agricultural mapping. Output Crop health Crop assessment Change detection Environmental analysis Irrigated landscapes Soil analysis Yield determination • Input Elevation table Output Drainage Levelling Preserving environment
  • 5. • Sewerage analysis Input 1. Administrative boundaries map 2. Landuse maps 3. Reserved area (forest and historical sites map) 4. Infrastructure map 5. Geographical map(showing contours river vegetation and water bodies) 6. Control points (showing manholes) Output DEM representing decision supporting systems for identification of suitable sewerage site
  • 6.
  • 7.
  • 8. • Public toilet • Input 1. No of visitors per site(survey) 2. Location of Petrol pumps,bus stands,mosques,restaurants,shops etc. 3. Exisiting geodatabase with layer containing existing public toilets. • Output Creation of various thematic maps for decision maker showing planned and existing toilets which may be used for public toilets.
  • 10. • Tax department Input 1. Road network 2. Plot information 3. Classification of roads 4. Building plans 5. Ward wise classification 6. Relational table (with respect to ward and classified road)
  • 12. Fire service station • Input data 1. Street data with address points or address ranges 2. Water lines and hydrants placement 3. Fire department information including existing fire station location of historical incident reports, demand zones 4. Time impedance related to locations Output  Representation of location for plotting fire services related to existing and required area
  • 13. Public health centre • Input 1. Existing layer of health center 2. Ward wise census data (specially slum area details) 3. Income details of people (class of people -low, middle, high) 4. Buffer around health centre • Output -> Location of PHC centre for serving large number of people