gsi requirement for training in respect of spatial data mining system in ontario province 1.the aim...

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GSI REQUIREMENT FOR TRAINING IN GSI REQUIREMENT FOR TRAINING IN RESPECT OF SPATIAL DATA MINING RESPECT OF SPATIAL DATA MINING SYSTEM IN ONTARIO PROVINCE SYSTEM IN ONTARIO PROVINCE 1.The aim of the training is to develop a 1.The aim of the training is to develop a multipurpose Co-operative Spatial Data multipurpose Co-operative Spatial Data Management Information System (SDMIS), Management Information System (SDMIS), where decision makers, stake holders and where decision makers, stake holders and public can avail multithematic data such as public can avail multithematic data such as geology, geochemistry, geophysics, geology, geochemistry, geophysics, metallogeny and land cover –land use etc. metallogeny and land cover –land use etc. 2.Both step-1 and Step-2 as suggested in 2.Both step-1 and Step-2 as suggested in the comments and feedback can be taken the comments and feedback can be taken during a workshop consisting two senior during a workshop consisting two senior scientists from Mission -3(Geoinformatics) scientists from Mission -3(Geoinformatics) and one from Ministry of Mines for a week and one from Ministry of Mines for a week in Ontario and evaluate the best model in Ontario and evaluate the best model

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Page 1: GSI REQUIREMENT FOR TRAINING IN RESPECT OF SPATIAL DATA MINING SYSTEM IN ONTARIO PROVINCE 1.The aim of the training is to develop a multipurpose Co- operative

GSI REQUIREMENT FOR TRAINING IN GSI REQUIREMENT FOR TRAINING IN RESPECT OF SPATIAL DATA MINING RESPECT OF SPATIAL DATA MINING

SYSTEM IN ONTARIO PROVINCESYSTEM IN ONTARIO PROVINCE1.The aim of the training is to develop a multipurpose Co-1.The aim of the training is to develop a multipurpose Co-operative Spatial Data Management Information System operative Spatial Data Management Information System

(SDMIS), where decision makers, stake holders and public (SDMIS), where decision makers, stake holders and public can avail multithematic data such as geology, can avail multithematic data such as geology,

geochemistry, geophysics, metallogeny and land cover –geochemistry, geophysics, metallogeny and land cover –land use etc. land use etc.

2.Both step-1 and Step-2 as suggested in the comments 2.Both step-1 and Step-2 as suggested in the comments and feedback can be taken during a workshop consisting and feedback can be taken during a workshop consisting two senior scientists from Mission -3(Geoinformatics) and two senior scientists from Mission -3(Geoinformatics) and

one from Ministry of Mines for a week in Ontario and one from Ministry of Mines for a week in Ontario and evaluate the best model suited to India evaluate the best model suited to India

Page 2: GSI REQUIREMENT FOR TRAINING IN RESPECT OF SPATIAL DATA MINING SYSTEM IN ONTARIO PROVINCE 1.The aim of the training is to develop a multipurpose Co- operative

3.The timings and the agenda of the workshop can be 3.The timings and the agenda of the workshop can be discussed later after approval in principle by both sides. discussed later after approval in principle by both sides.

4.A three year pilot project on mineral rich Rajasthan can also discussed during the workshop in Ontario and Ontario can share it’s expertise related to geospatial infrastructure in developing SDMIS in Indian context.

5.During the workshop , a meeting with CAMIRO and DMRC can be arranged in order to develop some research Projects for exploration of concealed and deep seated mineral deposits in India. The Projects are :

Page 3: GSI REQUIREMENT FOR TRAINING IN RESPECT OF SPATIAL DATA MINING SYSTEM IN ONTARIO PROVINCE 1.The aim of the training is to develop a multipurpose Co- operative

6.Concealed deposits(a)Wajrakarur kimberlite Field(diamond) Deep seated Deposits (a) Betul Pollymetallic belt of M.P. (b) Pindwara-Watera-Deri-Ambaji (South Delhi Fold Belt)

Page 4: GSI REQUIREMENT FOR TRAINING IN RESPECT OF SPATIAL DATA MINING SYSTEM IN ONTARIO PROVINCE 1.The aim of the training is to develop a multipurpose Co- operative