GISE Advanced Research Lab, Dept. of CSE, IIT Bombay

[Funded by DST, Govt. of India]

COLLABORATORSTCS JNTU MoEF DST Carleton University

[ Agro Advisory – mKrishi ] [ Prakasam Portal ] [ Ganga River Basin Mgmt.] [SoI Data Integration] [ MoU signed recently]

Geospatial Information Systems combined with 3D visualization technology is anemerging tool for urban planning and landscape design applications for handlingspatial information in 2D as well as 3D objects which enables 3D navigation andquery systems.Currently addressing the modeling aspect, this project aims to model, visualize andanalyze geographical data in 3D.

Figure R1.1 summarizes the methodology followed to generate 3D model.

Fig R1.1 – The process of modeling

Figure R1.2 shows overall 3D model of IIT Bombay. Figure R1.3, R1.4 and R1.5shows 3D model of KReSIT building in different level of details.

Fig R1.2 – 3D Model of IIT Bombay Fig R1.2 – LOD2 of KReSIT Building

Fig R1.3 – LOD3 of KReSIT Building Fig R1.4 – LOD4 of KReSIT Building

A semi-automatic approach for creating 3D information is possible using GoogleSketchUp which makes it possible to develop Geo Reference Model for informationenabled infrastructure. Possible extension is to build an indoor navigation system which utilizes buildingplan for effective evacuation planning during disaster management.

SMART CAMPUS SYSTEM USING 3D MODELING

METHODOLOGY

RESULTS

EVACUATION PLANNING TOOLTool has been developed for building evacuation planning using dynamic exits. Abuilding is modeled as a graph and places where ladders can be placed areconsidered as dynamic exit points. The tool optimally selects a set of dynamic exitpoints against all available exit points and outputs the evacuation plan. Differenttype of scenarios are considered:1. When limited number of available ladders are known:

• Minimizing maximum evacuation time taken by any evacuee.• Minimizing average evacuation time taken by each evacuee.

2. When evacuation time is known:• Finding minimum number of ladders required to evacuate the

building in given time.CURRENT WORK:1. Designing tools based on heuristics which allow the ladders to move from one place to another during evacuation process.2. Selecting shelter points amongst all shelter points for city evacuation.

WATER RESOURCE MANAGEMENT

TRANSPORTATION NETWORK MANAGEMENT SYSTEMOn availability of real time traffic data, it is possible to find actual travel time on aroad which varies due to varying degree of traffic congestion on the road at differenttimes of a day. Together with road network and real time data, the project plans to provide servicessuch as finding the shortest path to travel from place A to place B at a givendeparture time, nearest petrol pump at 9:00 am etc. Storage and modeling of spatio-temporal road network database.

Current Work: GIS route finding application hasbeen developed which can helpin selecting best routes based onhierarchical modeling of road network.

Fig L2.1 shows various options forroute planning. Base data used isHyderabad road network.

Time dependency is in process ofbeing added to the application.

AGRO ADVISORY SOLUTIONSBUILDING CROP ONTOLOGY FOR FARMERS

Created an ontology for Cotton Crop in the context of the Agropedia Indicaproject.

Contains knowledge representation for cotton crop which providesinformation on practices and farming techniques followed for it. It gives complete information on good and bad practices of cotton. The concepts which have been elaborated for cotton are:

1. Soil and climatic conditions for cotton2. Recommended varieties of cotton which can be location specific3. Disease affecting the crop, reasons for their occurrence, their symptoms

and cure for those diseases;4. Pests attacking the crop, their precautions and cure.

The ontology also contains knowledgeconcepts on the various activities offarming, like, hoeing, sowing,irrigation, fertilizing, spraying andharvesting, along with their timelines.

Fig C2.1 shows a part of ontology des--gn for cotton.

Fig C2.1 – A Part of ontology design for cotton

FLEXIBLE QUERY SYSTEM

Focus is on designing a system capable of answering crop related queries raised by farmers. uses ontology designed in the project discussed alongside. stores past records of the farmers which give information of the farming

practices followed by them, i.e., varieties sow by them, their time of sowing, irrigation, fertilizing and pest spraying. Answers query by performing a graph based search over this RDF graph

(ontology) and returns the best suitable match for user query. Further conditional information will be embedded with this which will require

us to get contextual information from database and answer the user query specific to the farmer.

Fig C3.1 – Process of Query processing

Main objective: prepare a comprehensive plan that defines plans for maintenanceand restoration of wholesomeness of Ganga system and improvement for it.Our Focus:modeling of the acquired data Data acquisition Data projection and creating base layersModeling changes – creating growth demand projection Training on ArcGIS Desktop and Server.

Water quality analysis tools: Visualization for effective decision making Generates spatio –temporal graphs of WQIand various other parameters as per dataavailability Calculated Water Quality Index

DRINKING WATER ANALYSIS FOR THANE DISTRICT

Identify causes and solution for drinking water problem in Thane district bygeospatial analysis by integrated census data with base layers. Provides data kituseful for studying the region prior to field trip.A demand-supply model to supply water to these habitats through pipelinednetwork in an optimized way, taking into consideration various topological andgeographical factors around them like elevation, head loss in pipelined waternetwork, with demand driven approach.

GANGA RIVER BASIN MANAGEMENT

GISE Advanced Research Lab focuses on research and development in: Spatio-temporal data modeling and analysis. SoA based architectures for geographic information. Geo-visualization and analytics. Software engineering for geo-spatial systems.

The lab provides a platform and repository for hosting technologies, applications andprototypes.

Lab runs a virtualized server environment for hosting: Database management system – Postgres, Oracle. Geo-visualization system – GeoServer. Application servers – Jetty, Apache-Tomcat. Keyword Search Application. Information Management system – Mediawiki.

Research Areas

Visualization & analytics

Data modeling

Software Engineering

SoA based architectures

IITB CAMPUS GIS FRAMEWORK Demonstrates multiple data layers of IIT Bombay over web using WMSservice. Implements novel computing and sense & control technologies incollaboration with partners in industry and government for demonstrations andeventual rollout of projects, technologies and applications. The technologies used: GeoServer, PostGIS over Postgres and OpenLayers forvisualization. Features: Map browsing, Map editing, Querying, Route finding, Geo-processing analysis , 3D visualization , people search

Fig C1 – Various layers of IITB displayed as WMS service

INTERACTIVE MAPS OVER MOBILE PHONES

Guides the tourists in finding out their areas of interest to visit like temple, shopping malls, restaurant.Works on android platform on hand held devices. Features: zooming panning and finding details of

objects.

PRAKASAM PORTAL

A case study in building socio-economic GIS application. Data Modeling for the Prakasam district and

help to JNTU research team for building properquery-able and normalized data model as per OGC guidelines Training JNTU people for making changes to their

schema, re-structuring and cleaning the data, and putting it in Database servers and publish them using GeoServer.

Fig C2 – Prakasam Visualization

Fig L2.1 – Route planning over Hyderabad road network

iWRM – WATER RESOURCE MANAGEMENT IN WATERSHEDS

Focus - Designed and created a prototype of open source tool (Spatial DecisionSupport System (SDSS)) for water resources management in a watershed. The toolassesses water vulnerability to pollution, global water demand and soil erosion in awatershed.

Thane District with distinct watershed areas and point analysis for water depth

• Collected water resources data, socoi-economic data and environmental data.• Designed Spatial Decision Support System for water management.

Figure on the left shows spatial distribu-

tion of water demand in Bâoulé basin, Ivory Coast.