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Geospatial Technology and Services Platform for Governance Applications" - Geospatial Digital Transformation in Governance

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Vishnu Chandra, NIC, India

Former Deputy Director General

E-Mail: VISHNU@NIC.IN

Awareness Seminar On

“Applications of Satellite Remote Sensing in Agriculture, Weather Prediction, Urban and Rural Planning”

Indian Space Industry Exhibitors (ISIE) Teerthankar Mahveer University, Mordabad

Dates : October 8, 2022 (Satuday)

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National Geo-Vision of Governance

Digital Transformation – Overview

NIC – Government Initiative and Digital Transformation

Digital Governance Framework – Digital Transformation Initiatives

Capacity Building and improving Governance structure

Agenda

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National Geo-Vision of Governance

  • “Geography or Geo-Spatial” is a core foundation for decision support systems and is a platform by ‘default”, where man-made as well as Natural events or phenomena interact real-time in parallel simultaneously. That’s why it is defined as “Science of Where”.
  • Though “Computing” as a science is sequential process but with advancement in digital technologies (viz. Super Computing, Parallel Processing) including various data capturing platform viz IOTs, sensors, UAV/Drone, mobile , LIDAR etc (“Science pf When”) as well as analytics platform viz. Big Data, AI/ML etc. (“Science of What”), we are in process of building end-to-end eco-system deploying near real time “geo-vision” as core foundation of decision-making and governance process.
  • Spatial Planning in convergence with Computational Technologies is leading to “Digital Transformation” in Governance Systems with considerable Economical, Social and Environmental benefits.

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Digital Transformation

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Digitization

Digitalization

Digital Transformation

Conversion

(Data)

Adoption

(Process)

Creating Value

(Business)

COMPONENTS OF DIGITAL TRANSFORMATION

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Improve customer experience

    • Use analytics to build richer content experiences and forge deeper relationships with audiences across multiple channels.

Computing infrastructure

    • Migrate from a physical data center to a cloud platform to accelerate development, improve reliability, and shorten time to market.

Internal collaboration

    • Use collaboration tools like video conferencing, online task management, and messaging platforms to boost productivity of employees.

Content accessibility

    • Most organizations rely on content, either for internal activities or as part of customer-facing activity. Digital transformation can make content accessible in new ways through enterprise search and new delivery platforms.

OBJECTIVES OF DIGITAL TRANSFORMATION

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  • Operational Backbone
    • Integrated systems and processes that ensure operational efficiency and quality transaction and master data
  • Shared Customer Insights
    • Organizational knowledge about what customers will pay for and how digital technologies can deliver to their demands
  • Digital Platform
    • A repository of business, technology and data components facilitating rapid innovation of new offering and enhancements
  • Accountability Framework
    • Clear ownership of and coordination among a growing set of digital offerings and components
  • External Developer Platform
    • A digital platform for an ecosystem of partners who contribute to and use the platform

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BUILDING BLOCKS OF DIGITAL TRANSFORMATION

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DIGITIZATION TO DIGITALIZATION

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Society

Environment

Economy

People

Data

Data

Data

SPATIAL DIGITAL TRANSFORMATION - CONCEPT

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TECHNOLOGIES FACTORS

  • Big Data
    • Volume, Velocity and Variety
  • Internet of Things (IoT)
  • Artificial Intelligence (AI)
    • Deep Learning
  • Augmented Reality and
  • Geo-Spatial Technologies

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Artificial Intelligence / Machine Language and Map Making

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WEAKLY-SUPERVISED

EO datasets rarely fits perfectly into the supervised learning paradigm.

SEEMI-SUPERVISD

It is common for EO datasets to be partially annotated.

ACTIVE LEARNING

The problem of learning is not just about ‘what’ to learn, but also ‘when’ to learn it.

This type of learning makes sense when there exists a database of general-purpose models pretrained on very large datasets.

TSRANFER LEARNING

SSL is the most promising approach to unsupervised learning.

SELF-SUPERVISED

Key Factors in ML

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AI/ML & Industry

Geology

    • Spectral mapping is used to create geological maps of an area and potential for mineral deposits

Infrastructure

    • Applications of EO for infrastructure management are relatively novel, with interesting applications of SAR data in civil engineering

Urban Development

    • Semantic segmentation for optical imagery is a well-studied ML task

Finance

    • Creating a global fundamental geospatial dataset of carbon intensive assets of cement plants.

Ecology / Communities

    • Satellite images have been used also for animal conservation, through localization and counting methods in ML

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Improved monitoring

Better quality and reduction of human error

Better talent management

Better customer service

Efficiency and productivity gains

Improved speed of business

New capabilities and business model expansion

Envisaged Benefits of AI

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Earth Observation Stack

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Geo-IOT as a tool

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Monitoring

Real-time decision making at the measurement and monitoring location

Data Quality

Improved data quality and overall consistency

Configuration

Remote configuration capability

Sensors

Meters and sensors are currently being intensively applied to regulate different activities of water distribution systems such as hydraulic pressure and flow, water quality, head losses, and water and energy consumptions

Water Information

Convey prompt, reliable, and information-secured water metered information to avoid any potential damages, foresee expected disasters, detect leakages and provide accountability

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Digital Transformation – 10 Technology Trends

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NIC – GOVERNMENT INITIATIVES & DIGITAL TRANSFORMATION

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DIGITIZATION - INITIATIVE

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Multi-Layer GIS Platform - Bharatmaps

  • A standards based framework to deploy Digital GIS Assets
  • Represents common intent of major ministries/departments
  • Part of larger e-gov initiatives to support backend governance applications
  • Facilitate real-time update through departmental ownership and driving force
  • Involvement and participation of citizens through crowd-sourcing
  • e-gov applications to drive Location Based Services and facilitate use of “Maps” through “Apps” within the work-flow and process of governance needs
  • Integration with Social Media for data authentication and social auditing

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National Informatics Centre

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SPATIAL DIGITALIZATION

32 Map services integrated

Self service portal with metadata

Template for application development

Map Service Implementation Process ( 4Step Integration)

Service Statistics

(1252)

Active Service Statistics

(413)

State GIS Portal

Overview

Login to Map Service Portal

Choose GIS Service and give URL

Receive GIS service with sample template and API

Integrate GIS service with data service to create web app

All States & Union Territories

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DIGITAL TRANSFORMATION

NIC map (1:50K)

Street map (1:10K)

Satellite map

Terrain map

BBNL GIS

CGHS

Bank GIS

School GIS

Punjab GIS

GIS for Food Processing

Basemap Integration

Framework

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GIS overview of different stakeholders and NIC

SOI

    • Base frame work data
    • Surveying

DOS

    • Satellite Images
    • Wasteland Mapping

Others

    • FSI- Forest Cover
    • SLUSI- Soil
    • CGWB-Ground Water

Non- Spatial Data

    • RGI- Census 2001
    • Educational Survey
    • Health Survey
    • NREGA
    • Rural Roads

NIC- GIS

Internet Cloud

External GIS Services

  • Facilitator
  • Standardization
  • Integrator
  • Dissemination- Enterprise

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Geo-Spatial Enabled Data Sharing Framework

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Greater Noida City Portal

eDharti

MegaCity 3D Portal

Delhi Jal Board

Svamitva

Transport System

Post Portal

Bharat Maps

Yamuna Expressway

Heterogenous Systems

Spatial Framework

Security Framework

Cloud ICT

NIC

Slum Rehabilitation

Financial Services

Energy Services

  • Digitization of Property Cards
  • City Operation Services
  • Digitization of Land Allotment Under Government Schemes
  • Land Use Digitization
  • Micro Planning of Slum Clusters
  • 3D View of City
  • Land Use Digitization
  • Green Field Areas for Financial Service Requirement
  • Digitization of Post
  • Spatial Framework for Service Integration
  • Digitization of Electric Bills - Electric Consumption
  • Digitization of Water Bills – Water Consumption

Unified Mobile Application for New-age Governance

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Digital Governance Framework – Digital Transformation Initiatives

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Bharat Maps

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Bharat Maps is a Multi-layered GIS platform/web service comprising of seamless country wide base maps, satellite images and hybrid maps aligned as per the global geo-spatial standards, It is an essential component of Digital India program to ensure easy, effective and economical governance.

Mobile Friendly Application

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Spatial Digital Transformation - Bharatmaps

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Telecom Framework

Develop and standardize methodology for capture of various assets in GIS 

Design and develop application for visualization, management and monitoring.

Assess and estimate the hardware and software required for capturing proposed OFC network.

Mapping the features Out Side Plant.

Repository of As Built Drawing and survey Data. 

GIS Platform for Integration with Cable fault localization system & Planning Tool.

Generation of reports and analysis based on GIS platform.

Provide web based platform for data access and data editing.

Training and Capacity Building for BBNL stakeholders in GIS mapping.

Monitor

Capture Data

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Financial Services Framework

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  • Map all financial institution (Banks/ATMs/ Bank Mitra), Postal offices, CSC, FP Shop
  • Identify gap areas based on the criteria defined
  • Provide a robust framework for data update and monitoring mechanism
  • Provide access to the data all stakeholders including citizen

Branches�1,53,066

ATMs�2,05,395

Bank Mitra (BC)�1,31,328

Post offices�1,51,231

CSC�3,02,000

Fair Price shop�3,22,262

GAP Analysis

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Financial Services Framework

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Mobile Interface for DBT Application

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SCHOOL GIS – GAP ANALYSIS

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  • Developed tools for spatial redistribution of schools
  • GAP Analysis – Identifying of schools within the villages

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Outbreak Framework For Service Delivery

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Application portal provides detailed insight of the COVID-19 status of Nandurbar District. It provides users with details on Swab tests performed, total number of positive cases, total number of active cases, total deaths occurred, number of people discharged and number of awaited reports for whom test was done.

Application Shared with

  • Prime Ministry Office (PMO)
  • Ministry of Health & Family Welfare
  • Indian Council of Medical Research (ICMR)

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Smart City Framework

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Settings up of a Continuous Operated Reference Station for real time control points for GNIDA area for picking up all survey data like manholes, electric poles etc.

Integration of the existing Legacy MIS Property Information by real time web services with Planning Layouts of all properties of GNIDA. Incorporated all types of Plot Reports along with rendering on map dynamically.

Georeferencing of GNIDA Master Plan (Sector, Plots, Khasra, etc.) on the Portal.

Integration of Utility and Project Information underway.

Geo Tagging of GNIDA assets.

Dash Board applications have been prepared

Vehicle Tracking for Mechanical Sweeping Trucks

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Kavaratti Application

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Landuse Framework

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Slum Rehabilitation Framework

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Well Integrated and centralized

Proactive approach towards in sector-wise micro-planning of slum cluster

Speedy implementation of SRA schemes

Publishing data in public domain to help relevant stakeholders

Removal of bogus and duplicate beneficiaries

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Vehicle Location Tracking Framework

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Monitor and Track Public Vehicles

GPS-based tracking devices to be fitted in Vehicles

Provision to send panic alert and activate Emergency Response

Command Control Centers set up

to Monitor

KEY HIGHLIGHTS:

Integrated Ecosystem

VLTD Manufacturers, Test Agencies, Retro fitment centers (RFCs), State Admins & RTOs

SOS Feature:

Pressing of Panic Button triggers emergency response procedure to support passenger in distress

37,856 Kits Fitted, 3.4 Lacs+ Uploaded

124 Retro Fitment Centres

15 States, CCC set up in 2 states

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National Power Portal Framework

IMPACT

  • Single authentic source of power sector data to provide various kind of analytical reports and charts to power apex monitoring agencies w.r.t generation, transmission and distribution data across the country

CONTRIBUTION

  • Reduction in AT&C Losses
  • Improvement in Power Supply Position
  • Monitoring of Agriculture, Rural and Urban 11kV Feeders
  • Daily/Monthly/Yearly Monitoring of Capacity & Generation at All India/Zone/States level
  • Monitoring of Growth of Transmission Lines and Transformation Capacity

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Gram Panchayat Framework

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Unified Geo Spatial Platform for Gram Panchayats covering 29 sectors; providing a decision support system for Gram Panchayat Development Plan (GPDP).

Linking relevant data along with geographic data to ascertain objectivity in the planning process.

Spatial analysis tools provisioned of identification suitable site for creation of new amenities/ development work like school, Anganwadi centre etc.

“Real time“ tracking of progress of work undertaken under different schemes. Work status displayed in different colors along with geotagged photos of assets on the map.

Gram Panchayat profile with details of Sarpanch, Functionaries, Panchayat office address, demographic data etc. are available.

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Unified Geo Spatial Platform for Gram Panchayats covering 29 sectors; providing a decision support system for Gram Panchayat Development Plan (GPDP).

Linking relevant data along with geographic data to ascertain objectivity in the planning process.

Spatial analysis tools provisioned of identification suitable site for creation of new amenities/ development work like school, Anganwadi centre etc.

Real time“ tracking of progress of work undertaken under different schemes. Work status displayed in different colors along with geotagged photos of assets on the map.

Gram Manchitra - Key Features

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Introducing better accountability and transparency to the process for preparing GPDP through Geographic Information System (GIS) platform.

Gram Panchayat profile with details of Sarpanch, Functionaries, Panchayat office address, demographic data etc. are available.

Socio-Economic Caste Census (SECC) report, Mission Antyodaya (MA) data and MA gap analysis for the Gram panchayat are available.

Gram Manchitra - Key Features

Contd.,

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State Boundaries

District Boundaries

Block Boundaries

GP Boundaries

State HQ

District HQ

Sub-district HQ

Census Villages

Bank

    • Bank Branch
    • Bank Mitra
    • ATM

CSC

Health Centre

    • District Hospital
    • Sub district Hospital

CHC

PHC

Sub Center

PDS

Post Office

    • Head Office
    • Sub Office
    • Branch Office

School

PES Layers

    • National Asset Directory NAD

Work Status

2017-2018

    • Work yet to start
    • Work in Progress
    • Work completed
    • Work Suspended

Skill Development Center

Drinking Water Resources

MGNREGA Works

Spatial Datasets

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Polygon Layer (Svamitva Dataset)

    • Parcel Boundary of Owner
    • Transport - Road Network
    • Water Bodies
    • Boundary

Line Layer (Svamitva Dataset)

    • Road Network
    • Railway Line

Point Layer (Svamitva Dataset)

    • Landmark
    • Wells
    • Assets

Rural Electrical Assets

    • Sub-Station
    • Transformers
    • Electrical Poles

Contd.,

Waste Management Assets

    • Landfill Locations
    • TSDF Locations

Natural Resources

    • Landuse/Landcover
    • Lithological
    • Geomorphological
    • Forest Cover

Imagery

    • Drone Images (SOI)
    • Realtime Satellite Images (NRSC - BHUVAN)

Elevation Models

    • Digital Elevation Model
    • Digital Surface Model

Planning Indices

    • Rainfall Information
    • Bhuvan Services

Spatial Datasets

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Application Tools

RESOURCE ENVELOPE

PROXIMITY ANALYSIS TOOL

QUERY BUILDER TOOL

MULTIPLE BUFFER TOOL

PRINT MAP OPTION

ELEVATION PROFILE

SWIPE TOOL

METADATA

MEASUREMENT TOOL

VARIOUS BASEMAPS

Spatial Planning Tools

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Gram Manchitra

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SVAMITVA Data Integration

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Gram Panchayat Information

Integration of population / census data

Integration with LGD code database

Geographical area using the Drone Survey Data

Household data from the Drone Survey data covered under Svamitva Scheme

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Facilities within Proximity

Educational Facilities

Pre-Primary School

1 No

Primary School

3No

Middle School

<5km

Secondary School

5-15 km

Senior Secondary School

<5km

Degree College of Arts, Science & Commerce

<5km

Engineering Colleges

-

Management Institutions

>15 km

Vocational Training Schools

<5km

Polytechnics

<5 km

Medical Colleges

>15 km

Special School for Disabled

>15 km

Non-Formal Training Centres

>15 km

Medical Amenities

Community Health Centres

5-15 km

Primary Health Centers

<5km

Primary Health Sub-Centres

<5km

T.B Clinics

>15 km

Hospital Alternative Medicines

>15 km

Maternity & Child Welfare Centres

>15 km

Dispensary

>15 km

Hospital Allopathic

>15 km

Family Welfare Centre

<5km

Mobile Health Clinics

5-15 km

Veterinary Hospitals

1 No

Transportation facility, Airport facility, Temples / Mosques facility

Government offices facility (gram panchayat office / building), Government buildings Open Space availability

Community centres, Reading rooms

Cinema / video halls, Newspaper availability

Birth / death registration office, Assembly polling station

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Base map visualization classified as

    • Transportation details, Residential, Public / semi-public areas
    • Commercial establishments, Water bodies, Barren Lands
    • Crop Lands, Agricultural Lands, Village and Surrounding Village Boundary

Integration of Svamitva Drone Survey Data for preparation of Settlement Map-Transportation Layer

    • Based on following categorization, which would enrich the visualization for effective GPDP planning using spatial datasets.
    • Transportation Layer
    • Built-up land
    • Barren Land
    • Dense Vegetation

Settlement Map

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Rural Electrification Planning

The electrical assets of the Gram Panchayat can be integrated from data availability with Rural Electrification Corporation of India. This would enrich the spatial datasets with integration of following electrical assets:

    • High Tension Poles
    • Express Feeder running from Sub-Station
    • Substation of 66/33 KVA, 33/11 KVA
    • Distribution Transformer
    • Low Tension Poles & Lines

This would enable visualization of electrification currently available within the GP or any new schemes that need to be planned for benefit of the GP during the proposed GPDP plan by the Gram Sabha.

Enable visualization of alternate power generation mechanisms

    • Mini-Grids
    • Wind Power
    • Bio-gas Generation
    • Photovoltaics Cells

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Model Scenario Generation - Datasets

Use of Landuse / Land Cover for Planning by Gram Sabha

Transportation Profile

Topography Overview

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Model Scenario Generation – Integration Datasets

Antyodaya data integration

    • Primary Schools with Electricity facility, Primary Schools with Boys Toilet
    • Primary Schools with Girls, Boys & No Toilet, with Computer Lab, Playground, with Drinking Waters, Mid-day Meal
    • Coverage with Tap Water (Drinking), Road Coverage, Agriculture Centre Coverage, Land Improvement and Minor Irrigation Coverage, Markets and Fairs availability

Drainage facility map of village

    • The available drainage captured / extracted from the ortho drone imagery under Svamitva Scheme can be used to prepare the drainage facility map of the village.

Solid waste management map of village

    • The solid waste dump sites, based on visibility on the drone imagery can be extracted or these may be marked during the attribute collection survey under Svamitva Scheme. These sites can also be made available from Central / State pollution control boards who are the prime organisation working towards management and moving to land fill sites / incarnation areas or Total Storage Disposal Facility (TSDF) locations.

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Planning Indices

Rainfall information

    • Based on the availability of rainfall gauge stations across India with spatial location availability at district, block and gram panchayat level, thematic layers such as rainfall predominant zones can be identified. These spatial layers can be used to overlay to depict the condition of the village suitable for residence. This will also allow us to generate drought themes for overlay, which helps in planning activities.

Forest cover information at large scale

    • The extent of forest cover falling within the abadi areas can be spatially represented to identify the steps that need to be taken to plan for the developmental activities.

Geomorphology Spatial Cover

    • The geomorphology layer would provide insight of morphology of land types available in the area of interest. This would enhance the analysis capabilities at State, District and Block level for planning purpose.

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Planning Indices

Lithology Spatial Cover

    • The litho-stratigraphic units would provide a detailed overview about the rock types present in the area. This would unable to analyse the water bearing capacity of the area at a glance during the planning phase of the project. Aided with litho-stratigraphic units and structural information would provide the locations where any structures / assets need to be planned or not as these areas would be prone to natural calamities. If we are able to find folded structure or lineaments then it would be more vulnerable for natural activity and asset could be planned accordingly.

Ground Water Prospect Spatial Cover

    • This is an administrative drill down at District level for district level planning. Administrative drill down at Tehsil / Block level for block level planning.

Contd.,

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3D & 2D Visualization

Property in 3D

Drone Image Draping

2D Map

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Envisioned Advantages

Allow for review of assets available within the village for planning purpose

Allow for availability of water bodies in the AOI, allow for availability of source of water / Water Connection etc, allow for checking viability of electrification @ village of interest and plan for it, allow for viability check of electrical assets @ village, Allow for checking the transport connectivity from village

Allow for checking the religious facilities availability

Allow for analysing the open area available which can be used based on planning, allow for checking any archaeological sites @ village

Allow for checking government buildings @ village

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Allow for navigation based on Administrative units such as state, district, block etc

Allow for review of assets available within the village for planning purpose

Allow for availability of water bodies in the AOI

Allow for availability of source of water / Water Connection etc

Allow for checking viability of electrification @ village of interest and plan for it

Envisioned Advantages

Allow for viability check of electrical assets @ village

Allow for checking the transport connectivity from village

Allow for checking the religious facilities availability

Allow for analysing the open area available which can be used based on planning

Allow for checking any archaeological sites @ village

Allow for checking government buildings @ village

Contd.,

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  • A web based, role based workflow application which has been developed for online submission and monitoring of the proposals submitted by the proponents for seeking Environment, Forest, Wildlife and CRZ Clearances from Central, State and district level authorities. It automates the entire tracking of proposals which includes online submission of a new proposal, editing/updating the details of proposals and displays status of the proposals at each stage of the workflow. The core strength of this application is rule-based GIS empowered decision making.

PARIVESH (Existing)

Process Transformation

Technological Transformation (GIS; AI; IoT)

Domain Knowledge Intervention

Single Source of truth

Effectiveness through Process

& Data Synchronization

Transparent

& Informed decision making

Minimum Government

Maximum Governance

Expected outcome

1

2

3

4

PARIVESH (Envisaged)

PARIVESH – Single Window Green Clearance Platform

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Snapshot of End-to-End Process

Common Application Form (GIS Driven Auto Population of Fields)

Registration & eKYC: Validation & Verification basis�PAN, CIN, Aadhar

KYA : GIS Driven Indicative Clearance List

Digital Approval & Payment

Compliance Reporting

Compliance Management

System Generated Templatized Process Documents

Inter-process synchronization

Workflow�Automation &�Configuration

System Generated Approval

Clearance Management

GIS Based DSS

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Know Your Approval (KYA)

Generate Report

Proceed

Quit

Type of Project

Capacity

KML

Decision Rule Engine

EC

FC

WL

CRZ

Decision

Decision

Decision

Decision

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Proponent Journey (Know Your Approval)

KYA

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GIS-CAF(GIS Module Integrated and customized with forms to validate location and auto populate the field values (information of location) submitted by proponent

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Decision Support System

3

1

2

Query-Based Analysis

Proximity, Admin, Infra, Ecology, Forest, Environment, Urban amenities Checks

Sensitivity Analysis

For example, FSI DSS-based analysis..

Tool Based Analysis

Tool-based Screening & Scoping using tools Buffer, Spatial Search, Swipe, etc.

  • Subject to GIS Layer availability & Coverage Configuration Criteria for validation

GIS Layers Integration

  • Total 122 Spatial Layers identified for integration with PARIVESH
  • 64 Spatial Layers integrated in PARIVESH for Decision Support –
    • Administration HQ (Point)
    • Administrative Boundaries SOI framework
    • SOI Toposheet
    • Hydrology
    • Transport
    • Forest
    • Protected Area
    • CRZ
    • Ecological Sensitive Zone

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GIS Based DSS To support the steering committees in making informed decisions using GIS tools regarding proximity and analysis of location of project helping them in review of various clearances sought by the applicants.

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GIS Based DSS To support the steering committees in making informed decisions using GIS tools regarding proximity and analysis of location of project helping them in review of various clearances sought by the applicants.

DSS for Decision Authority- In a single window availability of all the project locations Main Location, Alternate Location, Location applicable for forest clearance

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Proximity: Nearest Forest, Eco-sensitive Zone, Protected Area etc

Buffer Tool: Analysis within a fixed distance

Query Builder: Doing query with legacy data

GIS Based DSS :Analysis Tools

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One District One Product

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Soil Health Card Mapping

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Visualization based on Water Bodies

  • Integration of water census data with Agri Land Census help to develop tools to identify the nearest waterbody that can be used to meet the irrigation requirement.
  • Bharat Maps and GIS is used to identify the water bodies available within a proximity distance for planning

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Visualization based on Crop Sown

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Agri NDVI Based Analysis

  • Based on availability of NDVI derivatives of selected crop area, various classification can be performed based on image tonal variations.
  • These variations once analyze can provide us information with reference to peak growth period to no crop season, health of the crop etc.
  • Imagery datasets integrated with crop legacy data of the area can be used to generate prediction model and crop yield models to benefit the farmers.

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Visualization based on Agri Land Size of Holdings (Acr)

Associated Image

Analysis Result

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Spatial Digital Transformation – Vehicle Tracking

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Spatial Digital Transformation – Vehicle Tracking

Tax evasion case detected using this system, one e-Way Bill (EWB) is generated from Tamilnadu to Pune but associated vehicle was intercepted by officer in Karnataka near Chitradurga. From this report it has been found that vehicle was travelling from Karnataka -> Pune, and was never in Tamandu .Tamilnadu GSTN was fake actually and goods were supplied by Karnataka person only.

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Spatial Digital Transformation – Vahan & Fasttag

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Spatial Digital Transformation – Vahan & Fasttag

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IMD Service Integration

Vision :To safeguard life and property of citizens of U.P. due to severe weather conditions by dissemination of weather alerts/warning upto Gram Panchayat / Village level across the state.

IMD is sharing data with NIC of the following :

  • Nowcast – District and Station wise
  • Warnings – District-wise

  • Data of Gram Pradhan, Lekhpal, Anganwadi Workers , Police, Asha Workers is being collected on RAHAT portal(https://rahat.up.nic.in) through web API/web forms from Board of Revenue, Panchayati Raj Deptt., ICDS, Dignitaries GoUP
  • Alerts/Warnings/ disaster information will be send through SMS on Users’ mobile via text and voice as well displayed on Mobile App and Web portal under Notification.

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  • Automatic Detection of Toilet seat & Beneficiary in photos uploaded by citizens in Swachh Bharat Urban and Informing the status to the citizens through MobileApp along with location validation
  • The aim is to utilise Artificial Intelligence in reducing workflow cycle.

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AI/ML Example integrated with GIS Services

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  • Training dataset  :
  • The model is initially fit on a training dataset that is a set of examples used to fit the parameters. The training dataset consist of pairs of an input vector (images) and the corresponding output labels.
  • During training 90% of annotated dataset was used as training set 
  • Validation Dataset :
  • A validation dataset is a dataset of examples used to tune the hyperparameters of a classifier and detector. Since there is only 2 classes, a small training dataset was sufficient to give good trained model hence results also.
  • During training used 10% of annotated dataset as validation set.  Precision ,Recall , Accuracy are calculated on validation set only. 
  • Testing Dataset :
  • A test dataset is a dataset that is independent of the training dataset, but that follows the same probability distribution as the training dataset. If a model fits to the training dataset, it also fits the test dataset well.

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SBM Urban Deep Learning Case Study

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SBM Urban Deep Learning Case Study

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SBM Urban Deep Learning

  • Recall : 100% for both classes in validation set.
  • Inference Time on 2000 images using DS3.0 : 52 second (around 39 fps)
  • Test set accuracy is around 99% using the trained Neural Network Model. 

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Random Sample Check of Results given by AI

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Image Analytics in eGovernance – A Practical Example

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Location validation using Web API

  • Web API services from Bharatmaps is used to validate the location accuracy with reference to Lat/long provided.
  • With AI validating the image accuracy and GIS providing location accuracy, This App demonstrates the power of Integration of New emerging technologies of AI and GIS in e-Gov workflow.

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CAPACITY BUILDING AND IMPROVING GOVERNANCE STRUCTURE

GIS- BASED PLANNING AND LEVERAGING POTENTIAL OF SATELLITE–BASED IMAGERY

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“Geo-Spatial” is a core foundation to improve or enhance Governance Systems and Structure to facilitate location specific planning and decisions. “GIS” is one sub-component along with Space Based Remote Sensing, Digital Ground Surveys and Mapping viz. use of DGPS, CORS, ROVERS etc., Drone/UAV/LIDAR, and Cloud based ICT Platform and Services and various application domains.

The end to end capacity building from Geo-Spatial Surveys & Data Acquisition to Delivery of Services may impact 2-3% increase in country’s GDP.

Capacity Building

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Geospatial – Multi-Disciplinary Undertaking

Government

    • Internal Security,
    • Rural Development
    • Financial Planning
    • Infrastructure
    • Agriculture
    • Land Records

Education

    • Research,
    • Higher Education
    • Technologists

Environment

    • Climate
    • Water,
    • Land,
    • Wildlife,
    • Vegetation

Natural Resources

    • Agriculture,
    • Forestry,
    • Mining,
    • Petroleum,
    • Pipeline

Utilities organizations –

    • Telecom
    • Power Management,
    • Electricity
    • Gas
    • Water and Waste management

Businesses –

    • Banking,
    • Logistics,
    • Real Estate,
    • Retail,
    • Media

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Geo-Spatial Enabled ICT Services

UAV DATA SATELLITEDATA

  • SYNERGY BETWEEN SCHEMES
  • GAPS ANALYSIS
  • IMPACT ASSESSMENT FOR GOVT SCHEMES
  • ONE STOP FOR FINDING ASSETS

SWACHH BHARAT

SVAMITVA

SCHOOL GIS

ONEMAP SERIES

TELECOM GIS

POSTAL GIS

PARIVESH

BANKING GIS

AGRI GIS

FOREST GIS

WATER RESOURCES GIS ETC.

DASHBOARDS

MOBILE APPS

WEB GIS

NATURAL RESOURCES MANAGEMENT

LAND INFORMATION SYSTEM

ASSET INFORMATIONS ETC.

ONLINE API BASED

MIS-GIS INTEGRATION FOR

  • PROPERTY
  • ENGINEERING
  • ASSETS
  • MONITORING
  • SCHEME INTERGRATION

BHARAT MAPS

  • MINISTRIES
  • ULBS
  • PSUS
  • STATE GOVTS

PLANNING TOOLS

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Collaborative & Cooperative Approach to prepare Capacity Building Plan in Geo-Spatial Domain involving Government Spatial Data Organizations like Survey of India, ISRO, NIC, FSI, GSI, RGI, CGWB/CWC, DST, NSDI and so on, ICT Organizations under MeiTY (NIC, BISAG-N, CDAC etc.), Data Standards Organizations like BIS, Key Ministries and Departments including Geo-Spatial Policies Framing Nodal Organizations like MOCA, DST, DOS etc. and Industry & Academia.

Capacity Building Demand Survey in Geo-Spatial Domain to assess type of manpower (licensed surveyors, drone pilots, GIS, Analytics and so on) and services (ICT Platforms, Data Integration and so on) capacity to be built in governance structure.

Development of Course Material through Multi-Institutional Approach, and also appropriate Syllabus and Course Curriculum as per need of time and demand of Industry.

Strengthening of Existing Geo-Spatial Training Infrastructure in Government, particularly with SOI (Survey Training Institute), NRSC, MeiTY, MRD/NIRDP, FSI and State Remote Sensing Application Centers so on, in collaboration with Industry and Academia.

Strengthening of Capacities at LBSSNA, NIRDP, State Administrative, Universities & Academic & Research Institutes. This may also cover start-up eco system, and incubation of tech ecosystem in academic institutes as multi-disciplinary interdepartmental undertaking in institutes like KIET, TMU, Moradabad.

Conclusion

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