QGIS and InaSAFE Training for Establishing Disaster Risk Assessment

Lembaga Penanggulangan Bencana dan Perubahan Iklim Nahdlatul Ulama (LPBI NU) in collaboration with Humanitarian OpenStreetMap Team (HOT) Indonesia continue their partnership to conduct serial training to make a document of Disaster Risk Assessment. This was an advance training program based on the previous training, but still in the same serial of training. This program was conducted in two different location, Pare-pare, South Sulawesi on 10-14 April 2017 and Kudus, Central Java on 17-21 April 2017.

In the previous training, participants were given knowledge about collecting field data and mapping their area using OpenStreetMap. In this training, participants learned about QGIS and InaSAFE to make an impact scenario when a disaster happens. Participants also learned how to decide, collect, filter, and process a statistics data from Podes (a specific information about one village contain a lot of statistics data) to become a parameter that can be used to identify which area classified as high, medium, or low class of disaster.  All participants also learned how to make many disaster maps using available spatial data.

QGIS and InaSAFE training documentation in Kudus, Central Java

QGIS and InaSAFE training documentation in Kudus, Central Java

The training opened with speech and greetings from government and a local institution. On the first day, participants were given a concept and methodology about workflow on establishing a document of disaster risk assessment and the importance of this document. After that, they learned about 3 essential concepts on disaster risk assessment, capacity, vulnerability, and hazard. Next, they learned how to make a capacity and vulnerability data based on data Podes 2014. In order to do that, all participants were divided into a different group according to their kind of disaster. Each group needs to determine parameters that can be used to make a capacity and vulnerability data. All activity held for one day.

Table of capacity parameters in District Barru, Pare-pare, South Sulawesi


Table of capacity parameters in Jepara, Central Java

On the second day, participants continue their previous activity on making capacity and vulnerability data. On this day, they need to make a scoring for each parameter. Before that, they need to define the weight for each parameter, so each parameter can be multiplied by its weight, resulting a final score of capacity and vulnerability of each disaster.

QGIS and InaSAFE opening and training sessions in Pare-pare, South Sulawesi

After getting that score, participants need to make a hazard data for each disaster. From now on, participants will start working with spatial data. to understand a spatial data concept, they give a knowledge about the basic theory of GIS so they can understand about what kind of spatial data (vector and raster) that they will use later. After that, they learned about basic QGIS, a free and open source software they will use to process the spatial data. Participants learned how to input vector and raster into QGIS. They also learned how to install plugins InaSAFE. After learning about QGIS and InaSAFE, they learned how to make hazard map using spatial data such as slope, rainfall, geology, and administration data.

On the third day, participants joined all statistics data they made earlier with spatial data. they need to do this because this data required to make a risk map for each kind of disaster. Risk map made using Intersect feature in QGIS between capacity, vulnerability, and hazard data. Until this step, all participants succeeded to make a capacity map, vulnerability map, hazard map and also succeeded to merge and join those three kinds of data into one map called risk map.

After making a risk map, the participants were given a concept and little demonstration about how InaSAFE can be used to make an impact scenario of disaster. This learning session is very important, because all participants need this step to count and get numbers about affected things (buildings, peoples, land use, etc) so they can use numbers to analyze the damage and loss value (in currency) based on Standar Biaya Masukan (legal documentation about damage and loss valuation) in each district.

The next day, participants learned how to make a map using Map Composer in QGIS. The maps they need to make was a capacity map, vulnerability map, hazard map, and risk map that they already made before. Beside the map itself, they also need to make some kind of descriptive and narrative word that can explain about their map, so the reader can get more understanding about each map.

Risk map made by the participants. Left: Flood risk map in Jepara, Central Java; Right: Landslide risk map in Wajo, Pare-pare

On the last day, participants do some kind of group discussion to discuss the next step after this training end. Finally, this training was ended by the announcement of the winner of mini mapathon competition which has been going on since February 2017.

Top: photo session with all participants in Pare-pare; Bottom: winner announcement of mini mapethon competition

Adhitya Dido
Adhitya Dido
Mapping Supervisor of Humanitarian Openstreetmap Team Indonesia.

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