18th United Nations Regional United Nations Regional...
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Geographical Information System Based Landslide Probabilistic Geographical Information System Based Landslide Probabilistic Model with trivariate approachModel with trivariate approach--A case study in Sikkim A case study in Sikkim
Himalayas.Himalayas.
L.P.Sharma, Nilanchal Patel, M.K.Ghosh, P.DebnathL.P.Sharma, Nilanchal Patel, M.K.Ghosh, P.Debnath
Presentation By Presentation By L.P.Sharma(L.P.Sharma([email protected]@nic.in))
ScientistScientist--D & Principal System AnalystD & Principal System AnalystNational Informatics Centre, IndiaNational Informatics Centre, India
1818thth United Nations RegionalUnited Nations RegionalCartographic ConferenceCartographic Conference
2626--29 October 200929 October 2009BangkokBangkok-- ThailandThailand
Investigators:Investigators:Shri L.P.SharmaShri L.P.Sharma, B.Tech (ECE), M.C.Sc., Ph.D. , B.Tech (ECE), M.C.Sc., Ph.D.
(Ongoing) (Ongoing) Principal System Analyst & Scientist InPrincipal System Analyst & Scientist In--charge charge
GeoGeo--Informatics Cell, National Informatics Centre, SikkimInformatics Cell, National Informatics Centre, Sikkim
Dr. Nilanchal PatelDr. Nilanchal Patel, , M.Tech. (Applied Geology ), Ph.D M.Tech. (Applied Geology ), Ph.D (Remote Sensing)(Remote Sensing)
Professor , Department of Remote Sensing, Birla Institute of TeProfessor , Department of Remote Sensing, Birla Institute of Technology, chnology, Mesra, Ranchi, IndiaMesra, Ranchi, India
Dr. M.K.GhoseDr. M.K.Ghose, , Senior Scientist/ISROW (Retd.)Senior Scientist/ISROW (Retd.)
Professor & HOD, Computer Science DepartmentProfessor & HOD, Computer Science DepartmentSikkim Manipal Institute of Technology, Mazitar, Sikkim, IndiaSikkim Manipal Institute of Technology, Mazitar, Sikkim, India
Dr. P .DebnathDr. P .Debnath, Bsc. (Agri),Msc (Agri),Ph.D.(Soil Science), Bsc. (Agri),Msc (Agri),Ph.D.(Soil Science)
Assistant ProfessorAssistant ProfessorCollege of Agriculture Engineering and Post Harvest TechnologyCollege of Agriculture Engineering and Post Harvest Technology
Ranipool, Sikkim, IndiaRanipool, Sikkim, India
Study Area..Study Area..
Sikkim Sikkim ––Land of Eternal BeautyLand of Eternal Beauty
Such Natural Beauties are often Such Natural Beauties are often disturbed by the Terror of disturbed by the Terror of
LandslidesLandslides
LandslidesLandslidesLandslide has been a disaster of Big Concern.Landslide has been a disaster of Big Concern.
In 1968 the state lost 3300 lives and properties worth In 1968 the state lost 3300 lives and properties worth rupees million when a prolonged monsoon triggered rupees million when a prolonged monsoon triggered landslides in many places .landslides in many places .
Since then the Landslide has been disturbing the civil Since then the Landslide has been disturbing the civil lives, public properties and private properties in many lives, public properties and private properties in many ways. ways.
Some times the infrastructure projects are washed Some times the infrastructure projects are washed away while at completion phases. away while at completion phases.
The local governments are finding it tough to make The local governments are finding it tough to make the development activities sustainable and ensure the development activities sustainable and ensure safety to public from landslide hazards.safety to public from landslide hazards.
Characteristics..Characteristics..Average Slope > 60%Average Slope > 60%Soil Texture is Mostly Coarse LoamySoil Texture is Mostly Coarse LoamyWeak Rocks like Chlorite, Phyllite/Sericite Weak Rocks like Chlorite, Phyllite/Sericite Mostly PrevailMostly PrevailAverage Rainfall up to 3000 mm per Annum.Average Rainfall up to 3000 mm per Annum.Lies in the boarder of Indian and Eurosian Plate Lies in the boarder of Indian and Eurosian Plate and has high Seismic Threat.and has high Seismic Threat.Civil Construction and Urbanization is rapid to Civil Construction and Urbanization is rapid to meet the demand of growing Population. meet the demand of growing Population.
The Scope of this StudyThe Scope of this StudyTo explore the possibility of GIS based To explore the possibility of GIS based Landslide Vulnerability Study and to Landslide Vulnerability Study and to measure its accuracy. measure its accuracy. To delineate the highly Vulnerable Area To delineate the highly Vulnerable Area within the Study Area for implementation within the Study Area for implementation of immediate precautionary measures.of immediate precautionary measures.An attempt to demonstrate the technology An attempt to demonstrate the technology driven Vulnerability Assessment as a driven Vulnerability Assessment as a replacement for Conventional Methods.replacement for Conventional Methods.An attempt to demonstrate the An attempt to demonstrate the importance of spatial data.importance of spatial data.
Data Used for StudyData Used for Study
Soil MapsSoil Maps-- Sang Revenue Circle Sang Revenue Circle
Methodology FlowchartMethodology Flowchart
Calculation of Landslide Information Value Calculation of Landslide Information Value for Polygonsfor Polygons
The Landslide Information Value for the jth polygon was The Landslide Information Value for the jth polygon was calculated as:calculated as:
Where Where W1, W2,W1, W2,………….Wn are the expert based weights .Wn are the expert based weights of the Nth identified parameters of the Nth identified parameters
Xij (Wn) is the variable value of Ith variable of Xij (Wn) is the variable value of Ith variable of the Wn parameter for Jth polygon.the Wn parameter for Jth polygon.
LDij (Wn) is the Landslide Density due to Ith LDij (Wn) is the Landslide Density due to Ith variable of Wn Parameter for the Jth polygon.variable of Wn Parameter for the Jth polygon.
N1
Slide 13
N1 18th United Nations Regional Cartograpic Conference 26-29 october 2009NIC_LAPTOP, 17/10/2009
Classification of Parcels Classification of Parcels
Production of Zonation MapProduction of Zonation Map
Bar Chart with StatisticsBar Chart with StatisticsBar Chart Showing Area Falling in Diffferent
Vulnerability Zones
10.91
30%
14.7
41% 10.66
29%
02468
10121416
Least Vulnerable Moderately Vulnerable Most Vulnerable
Are
a In
Sq.
Km
.
Bar Char Showing No of Landslides in Different Vulnerability Zones
311%
9
32%
16
57%
0
5
10
15
20
Least Vulnerable Moderately Vulnerable Most Vulnerable
No
of L
ands
lides
The Study ConcludesThe Study ConcludesGeographical Information System is very Geographical Information System is very useful in assessing the vulnerability to useful in assessing the vulnerability to landslide hazards.landslide hazards.Using GIS accurate prediction of landslides Using GIS accurate prediction of landslides is possible using highly accurate spatial is possible using highly accurate spatial data.data.The method of triThe method of tri--variate approach is variate approach is simple and gives around 70%simple and gives around 70%--80% 80% accuracy in assessing the landslide accuracy in assessing the landslide vulnerability.vulnerability.The application of GIS will go a long way The application of GIS will go a long way in making our development activities in making our development activities sustainable.sustainable.
National GIS
NIC• Facilitator• Integrator• Standardization• Dissemination-
Enterprise
Stakeholders of National GIS
Enterprise Framework Architecture
Spatial Data
Non‐Spatial Data
Web Based GIS Application
Internet
Spatial Data
Web Services like WMS,WFS
Browser
LAN
Thick Client –GIS
LAN
Thick Client –open Source/Proprietary
Spatial Data
Application Server
Data Sharing / Access ModelsData Sharing / Access Models
Local Data
Mapping of 6,38,387 Villages of Mapping of 6,38,387 Villages of
India with other administrative units India with other administrative units
linked with Census 2001.linked with Census 2001.
Forms core data for eForms core data for e--governance governance
applications. applications.
SocioSocio--economic indicators and economic indicators and
Demographic Studies. Demographic Studies.
Verification, update, roll out plan in Verification, update, roll out plan in
progressprogress
Administrative Boundary DatabaseAdministrative Boundary Database
National GIS - Web based Dissemination System with GIS functions like navigation, query, analysis , print.
G2C ApplicationG2C Application
Web GIS for Village Level Mapping of Demography and Amenities
Thematic Atlas for the entire CountryThematic Atlas for the entire Country
Road NetworkRoad Network
Railway NetworkRailway Network
Countrywide mosaic of Topo-maps
Countrywide mosaic of Satellite images of various resolution upto 5m.
Quick Bird (60 Cm) images for disctrict Head Quarters.
Image Classification and Infrastructure Mapping
Standardization and Interoperability
Raster Data Services
Geography…a binding force
PAN with Topo Maps
Quick Bird Image for Rupnagar, Punjab
Visualization from maps/sat. images
Dissemination using Enterprise GIS Architecture
Planning of mobile services across the country.
Emergency Planning and Response system
Watershed Management System
Value Added services for operational MIS services.
GIS based Election Management
Key GIS Implementations Key GIS Implementations
Offsite emergency planning tool developed using Map Objects.
Chemicals modeling using ARCHIE/ ALOHA integrated with MO. Over 2000 footprints generated.
Implemented in 40 districts & hazardous Industries.
Response Inf. data sheets for 463 chemicals.
Offsite emergency planning tool developed using Map Objects.
Chemicals modeling using ARCHIE/ ALOHA integrated with MO. Over 2000 footprints generated.
Implemented in 40 districts & hazardous Industries.
Response Inf. data sheets for 463 chemicals.
Agricultural Marketing Network
Mapping of around 7000 agricultural Markets.
Daily Arrival of commodities.
Price Index
Market Profile
Demand Supply Chain
Agricultural Marketing Network
Mapping of around 7000 agricultural Markets.
Daily Arrival of commodities.
Price Index
Market Profile
Demand Supply Chain
Value Addition to MIS Value Addition to MIS
Better civic services to citizens at large through computer assisted mapping of utilities
Better civic services to citizens at large through computer assisted mapping of utilities
• Utility Mapping model implemented for Delhi.
• This model is further replicated in the six cities of Mumbai, Chennai, Kolkata, Bangalore, Hyderabad and Ahmedabad.
• Utility Mapping model implemented for Delhi.
• This model is further replicated in the six cities of Mumbai, Chennai, Kolkata, Bangalore, Hyderabad and Ahmedabad.
Utility Mapping Services
Integrated Services Delivery using GIS is a essential component to e‐gov process.
National GIS has triggered the process of integration of data from various sources.
We continue to provide our support for evolving common standards and policies, human resources and knowledge sharing.
Spatial Data Infrastructure accomplishes the delivery of effective and efficient implementation of e‐governance programmes through GIS at grass root level
To summarize To summarize
INDIA