Natural Disasters are inevitable and  India too is prone to most of these natural disasters due to its unique  geo-climatic conditions and topography. They cause huge destruction to the  lives and property of people. As disasters occur suddenly therefore, timely  response from a monitoring and assessment system is essential. By developing  and implementing well planned mitigation strategy, economic losses and human  casualties can be reduced greatly. Through utilizing the small amount of time  available before such disasters hit, the sufferings of the people can be  alleviated by a great margin. Realizing the benefits of such disaster  management strategies and its cost effectiveness, such measures have become an  integral part of national policies of many countries.  
                              Geo-spatial technology plays a significant role in the  improvement of emergency management and critical infrastructure condition  assessment by providing first cut information about an emergency situation.  All phases of emergency management depend on data from a variety of sources.  Most of the data requirements for emergency management are of a spatial nature  and can be located on a map. Therefore, appropriate data has to be gathered,  organised and displayed logically to start emergency management planning.  During an actual emergency it is critical to have the right data, at the right  time, displayed logically, to respond and take appropriate actions. 
                              Any disaster  can be managed well through spatial planning. Disaster Management activities  can be grouped into five phases i.e Planning, Mitigation, Preparedness, Response  and Recovery. GIS as a tool can help in decision making for all these five  phases. 
                              Realizing the importance of Geo-Spatial  technology in disaster management strategy, Assam State Disaster Management  Authority took the initiative of building up its GIS database to develop an  Emergency Management Information System for Assam which will act as a decision  support system and will help the decision makers to minimize the loss of lives,  mitigate, relief and rescue operations . 
                              As part of this activity ASDMA took up the  project on “GIS Mapping of Utilities and Infrastructures for Assam” in its 1st  phase. Under this project,geographical coordinates of those utilities which  play a vital role in the event of an emergency situation and which will help  the administration in decision making at times of disaster was to be mapped from  all the Blocks/Circles/Sub Division/Districts of Assam using GPS devices and  brought under a GIS environment.Altogether 18 different utilities (Private Hospitals and Nursing Home, Police Stations  & Outpost, Important Govt. Buildings, Educational Institutions (Govt. &  Private Engineering Colleges, Universities, Schools & Colleges which can be  used as shelter places), Community Halls, Raised Platforms, Veterinary Hospitals,  Ferry Ghats, Bus Stations, Water Supply Sources (PHED), Petrol and Diesel  Stations, Places of Public Congregation (Cinema halls, Shopping Malls,  Stadium), Vital installations (Major Industries, Power Plants, Oil Refineries)  LPG Godowns of Refineries, PWD Bridges located in National and State Highway,  Flyovers, Railway Stations Grounds which can be used as Helipads) were  identified. To carry out this huge task M/S SCIENCE, Dehradun was  selected through competitive bidding process and was awarded the work. 
                              Under this project, a total number of 12,032 point  (Table-1) utilities has been collected from field as per the list provided by  District Administration of different districts using the latest Garmin Oregon  550 GPS models. To have a better understanding of the site condition these  utilities has also been geo-tagged with site photographs to the extent  possible.These spatial data has been converted into GIS format and work is  under progress to link these spatial data with the non spatial information for  an effective emergency management planning. 
                              Table-1: Utilities collected from different districts of Assam 
                              
                                
                                  | Sl_No  | 
                                  District | 
                                  Total_Points_Collected | 
                                 
                                
                                  | 1 | 
                                  Dhubri | 
                                  498 | 
                                 
                                
                                  | 2 | 
                                  Goalpara | 
                                  767 | 
                                 
                                
                                  | 3 | 
                                  Bongaigaon | 
                                  316 | 
                                 
                                
                                  | 4 | 
                                  Chirang | 
                                  254 | 
                                 
                                
                                  | 5 | 
                                  Kokrajhar | 
                                  491 | 
                                 
                                
                                  | 6 | 
                                  Barpeta | 
                                  280 | 
                                 
                                
                                  | 7 | 
                                  Nalbari | 
                                  480 | 
                                 
                                
                                  | 8 | 
                                  Darrang | 
                                  450 | 
                                 
                                
                                  | 9 | 
                                  Udalgiri | 
                                  378 | 
                                 
                                
                                  | 10 | 
                                  Baksa | 
                                  98 | 
                                 
                                
                                  | 11 | 
                                  Halikandi | 
                                  184 | 
                                 
                                
                                  | 12 | 
                                  Lakhimpur | 
                                  538 | 
                                 
                                
                                  | 13 | 
                                  Sonitpur | 
                                  659 | 
                                 
                                
                                  | 14 | 
                                  KarbiAnlong | 
                                  247 | 
                                 
                                
                                  | 15 | 
                                  Karimganj | 
                                  131 | 
                                 
                                
                                  | 16 | 
                                  Morigaon | 
                                  398 | 
                                 
                                
                                  | 17 | 
                                  Naugaon | 
                                  819 | 
                                 
                                
                                  | 18 | 
                                  Cachar | 
                                  828 | 
                                 
                                
                                  | 19 | 
                                  Dibrugarh | 
                                  591 | 
                                 
                                
                                  | 20 | 
                                  Dhemaji | 
                                  168 | 
                                 
                                
                                  | 21 | 
                                  Sivsagar | 
                                  601 | 
                                 
                                
                                  | 22 | 
                                  Golaghat | 
                                  477 | 
                                 
                                
                                  | 23 | 
                                  Kamrup | 
                                  871 | 
                                 
                                
                                  | 24 | 
                                  Kamrup Metro | 
                                  361 | 
                                 
                                
                                  | 25 | 
                                  Jorhat | 
                                  560 | 
                                 
                                
                                  | 26 | 
                                  Tinsukia | 
                                  422 | 
                                 
                                
                                  | 27 | 
                                  NC Hills | 
                                  165 | 
                                 
                                
                                   | 
                                  Total | 
                                  12032 | 
                                 
                                                             
                                
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