SERIES OF FIELD TRIP

July 2nd, 2013  |  Published in Disaster

follow up of the activity of the Initial Meeting where the team has included most of the required data for developing risk map

This activity is a follow up of the activity of the Initial Meeting where the team has included most of the required data. However, the data we need to construct a risk map is still incomplete. The team found several villages in the district that is not listed correctly, such as the length of road data that should be filled with the road length (in meter or km) filled with stripe (zero). Team was deciding the data that exist in dinas (BPS, BAPPEDA, DINSOS, BPBD etc) need further clarification. Data which DRM needed are the length and type of road, PDRB, geographical position of the village, building profiles, and the hazards that have or will occur in several sub districts are qualified and have completed into a database format.  Fieldtrip activities were conducting by GPS data collection, interviews with representatives of sub-district officer, and observation. Results will be processed and analyzed with Microsoft Excel and GIS software.

The use of GPS in the Field trip activities focused to support the calculation of length of road facilities in the villages that indicate in DRM Team data. This calculation is done by GPS. Certain points to ensure these facilities are in the village which we mean is to prevent miscalculations of DRM team according to length and type of road’s village.
The road that we have agreed to calculate was categorized by BPS: the asphalt road, the existing road and trail block. Thus, a certain point such as village boundaries or facilities that serve the village boundary should be drawn. It will give our location in coordinates, either latitude and longitude or Universal Transverse Mercators (UTMs) as basis of our analysis in calculating the existing risk. So, team also updates the geographical position of the area has never been surveyed certainty about the position of village in several sub-district are inaccurate.
The village acquired the position is needed to determining the components of hazard and vulnerability. When we overlay hazard map, we need a point as reference of villages target and intersected into hazard, so the village coordinates that intersect with existing hazards will be ready to categorize (low, medium, or high). After that, we are ready to compile data into grid file extension more accurately.

GPS points also connect with GPS track that automatically record position data continuously. The track provides a complete history of the journey. Team can map where we’ve already been and we can program the GPS system to automatically drop track-points as our trip, either over intervals of time or distance. With the help of GIS tools, the overall GPS data will be able to calculate the length of roads by type more easily. Thus, data could be calculated (in meter or km). Based on its category we are possible to convert road into rupiah that needed to build a map of vulnerability

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