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Village Information System - Concept Paper


Prelude

The country is passing through rapid developments in almost all spheres of science and technology. These developments, which have a significant focus on the exploration, development and management of resources, have been contributing to:

  1. generation of enormous amount of disseminated data and
  2. an imbalanced development in many sectors with a very little concern to sustainability, societal involvement and relevance.  

 

Though significantly large data sets have been generated on various aspects on spatial and temporal scales, many major challenges remain unaddressed. To mention a couple of them;

  1. uneven distribution of data in spatial and temporal domains
  2. lack of awareness among user communities, executives and policy makers on the relevance, scope, use  and impact of such data in decision making.

 

In this context, the NSDI of the Department of Science & Technology, New Delhi has conceptualized and initiated an innovative programme on the development, validation and standardization of data structure and the optimum data requirements providing a subtle framework for spatial data development and management. It needs to be realized at this stage, that the mechanisms and scope of the Govt. agencies and the associated systems are not being able to fill the gaps to address the national needs. It is time that innovative systems involving the youth need to be developed, tested and standardized before being implemented.

Spatial Data Infrastructure

The scope for collection of required data on spatial and temporal scales does not seem to be viable with the current structure, mechanisms and resources of government and professional agencies.  At the same time, the rapid developments taking place in almost all sectors, the information at village level has become highly critical and vital not only to propose and design new developmental programmes but also to develop and manage the resources in a sustainable way.  As such detailed information at the village level has become imperative both in time and space.  The changing climatic conditions resulting in an erratic behaviour of rainfall and the associated groundwater fluctuations and the available surface water resources play a major role not only in agriculture and food sectors, but also on the socio economic aspects of the entire nation. Further, industrialization and urbanization in the absence of an effective implementation of the regulations, have been contributing substantially to pollution of the natural resources.  The welfare programmes proposed by the local and the Central Governments need to have  right inputs for decision making and implementation. 

Under these circumstances, it is contemplated to tap the energetic and ignited youth pursuing under graduate and graduate programmes in science and social science disciplines in the collection, collation and pre-processing of required data at village level.  This would also inculcate national spirit and develop self-confidence among youth. With a marginal financial compensation, the concept of ‘Earn while you learn’ can be promoted among the needy and talented youth. The academic community from the representing Universities and Professional bodies can train and supervise these students to ensure generation of quality data within the stipulated time frames. In this context, it is proposed to develop and initiate this concept on a pilot scale in selected locations.  The basic strength and the spirit of these centers would be the young students from the Colleges and the Universities around. These centres, while generating the data at the village level would develop a Village Information System (VIS) for an effective development and management of the local resources and activities. 

The Village Information System is expected to comprise of spatial data on demography, natural resources, climate, land use land cover patterns and socio economic aspects etc..

Objectives

  1. Identify and design a spatial data model.
  2. Assessment, collection and collation of available data and supplement data gaps vis-à-vis developmental activities.
  3. Validation of data model.
  4. Development of an integrated information system using geospatial technologies.
  5. Development of decision support information modules to empower planners and citizens.

 

The Approach / Methodology

The energetic and enthusiastic student community from the Universities and the nearby affiliated colleges will be selected and to form ‘Work Groups’ to be associated with identified Villages/ Panchayats.  These students will be trained on the data formats, collection and collation procedures and porting the data on to a GIS platform. The Principal and Co-Principal Investigators from the identified national centres will be trained on the data structure, data collection, analyses and management procedures for comparability. The data generated, after quality control, will be hosted on a public domain with scope to utilize the same as a Decision Support Information System in the management of resources and developmental activities at village level.

At each of these centres at least 15 to 20 students who will be trained every year on the generation and processing of spatial data along with scope to earn a bit while being more productive in weekends. All necessary measures will be taken not to hamper the academic career of the students.  The students will have ample scope not only to be associated scientific programmes but also will be able to involve and appreciate the life and needs of rural population and can take pride in nation building. In the process they will also get trained in geospatial technologies.

Work Elements

  1. Selection of villages.
  2. Identification of RS/ spatial data products.
  3. Preparation of base maps.
  4. Collection and collation of available data.
  5. Development of mobile applications.
  6. Generation of supplemental data (spatial and temporal).
  7. Preparation of thematic maps (land use/ land cover, habitation, natural resources, water bodies, soil, infrastructure, facilities, transport, drainage network and socio economic etc.).
  8. Integration of data sets.
  9. Development of decision support information modules to empower planners and citizens.

 

Output based Work Plan:

This may be provided in a tabular form incorporating the work elements.

Working Details:

Selection of Locations

Study area may cover 10 (units) panchayaths / villages, 5 units should be contiguous while the rest can be distributed representing different geographic / geomorphic conditions. The five units can be in five different locations or can be located two to three clusters.  

The villages should be located and indicated in a map in the proposal itself the basic characteristics of village / panchayat like demographic details, area, crops, infrastructure facilities, longitude, latitude have to be provided in the proposal. 

Data Products for Base / Thematic Maps

Remote Sensing Data

  • Resourcesat  IV + Cartosat I/II (Resolution 2.5 meter multispectral) Two Data Set covering 700 km2 each (2 x 15,000)= Rs 30,000
  • Topographic maps (for reference purpose)
    Survey of India toposheet1:50000 (along with village boundaries)
  • Village Map
    Cadastral map from survey and land records at 1:5000 or whatever available
  • Census data
    Population and Social data from census of India for identification of decadal change
  1. Spatial and Temporal Distribution of Data / Observations:

 

  1. Water Quality Data: Water depth and quality data for the past five years from ground water department from the concern State Government.

    Water depth and quality observation in selected wells in all villages once in a month (both for drinking and irrigation purpose).

    Surface water resources – observation / measurements of quality / quantity seasonal availability and quality observation as per the condition where villages are situated.

    Water Quality: (Atleast 5 samples from each village including surface, shallow wells and bore wells).

    Physical parameters: EC and pH, TDS, temperature (quarterly).

    Major Elements: Calcium, Magnesium, Sodium, Potassium, Chloride, Sulphate, Biocarbonate, Carbonate (ones in pre and post monsoons on all samples)

    ICPMS ones in pre and post monsoons on selected water samples Pigmy type, Hilly Region (Pre and Post monsoon)

    Rain gauge (5 no’s) in the entire region in all the villages put together
  1. Soil Classification

    Soil Map – 1:25000 scale

    Granulometric parameters ones in an year

    Soil nutrients:  pre and post monsoon observations – NPK, pH, CC, OC, EC,
    Soil moisture, Infiltration (5 samples per village X 10 = 50 samples) using double ring infiltrometer.
  1. Soil Sampling:

  2. a) At 6” below surface
    b) At 1m from ground surface

Time Schedules:

  1. Selection of villages – immediate.
  2. Identification of RS/spatial data products – immediate.
  3. Preparation of base maps – (0-3 months).
  4. Collection and collation of available data – (1-6 months).
  5. Development of mobile applications – (0-6 months) – only by software group.
  6. Generation of supplemental data (spatial and temporal) – (3-15 months).
  7. Preparation of thematic maps (land use/land cover, habitation, natural resources, water bodies, soil, infrastructure, facilities, transport, drainage network and socio economic etc.) – (3-15 months)
  8. Integration of data sets – (12 – 18 months).
  9. Development of decision support information modules to empower planner and citizens. – (12 – 21 months).
  10. Awareness and user interaction – (18 – 22 months).
  11. User acceptance testing – (21 – 24 months).
  12. Project completion report – (24th  month)

 

Expected Outcome

  1. A Village Information System will be developed on temporal and spatial domains that will host critical information for an effective operation of a Decision Support Information System (DSIS) that can lead to an optimum and comparable development of all regions including utility of local resources.
  2. Builds up self-confidence and national belongingness and career inspiration among the young student community. 
  3. Contributes to National capacity building.
  4. Village information to empower the decision makers and user community. 
  5. Thematic maps on various data elements like demography, natural resources, infrastructure, communication network etc.

 

Miscellaneous Information

  1. For detailed guidelines for preparation of the project please follow: www.nrdms.gov.in
  2. Bank details have to be provided for transferring the money from DST to University/Institutions:

Bank Name:
Branch Code:
Account Number:
Account Holder Name:
IFS Code:
MICR Code: