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SENSUM field survey activity @ Batken, Kyrgyzstan

Field survey activity with SENSUM technology

On 1st - 8th June, 2014 an intense field campaign in Southern Kyrgyzstan was carried out using the SENSUM in-situ data capturing tools. The survey covered of the 6 main settlements of the Batken region (Kyzyl­-Kaya, Ush­-Korgor, Batken, Isfana, Suluktu and Vostocchny) and several smaller villages.

  MOMA in Isfana                                                            Traditional housing of Kyrgyzstan

Sample routes were calculated beforehand on the basis of OpenStreetMap data using the SENSUM sampling tools. The sample routes were than followed with a car equipped with the SENSUM mobile mapping system(MOMA). Carrying out the data capturing activities for about 8 hours per day, the system acquired omnidirectional images of the building stock along the sample routes, with the newly-developed data capturing and storage unit performing very well,despite sometimes difficult conditions (dust, rain, uneven roads). This includes the ability for the system to maintain operation. Power consumption was found to be very efficient, with only battery power being required.

Complementary to the rapid data capturing with the MOMA, a team of local civil engineers assessed in each settlement a smaller sample of buildings with the GEM IDCT direct observation tools for Android devices. 

Omnidirectional image data analysis with the SENSUM Remote Rapid Visual Screening tool (RRVS) is currently ongoing and local civil engineers from the International University of Innovation Technologies and the SENSUM partner CAIAG are screening buildings captured by the images.

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SENSUM Study Areas

A novel sampling framework will be developed that guides the in-situ data collection and integration process. Novel in-situ data collection tools (e.g. omni-directional imaging) will be included. Advanced analysis and processing of current and future space-based products will enhance the approach. Uncertainties will be fully considered. Soon-to-be-released space products such as DLR Global Urban Footprint will be validated and their integration with the proposed methodologies explored. Data needs for post-disaster recovery will be addressed within the same framework, resulting in a comprehensive methodological solution to the monitoring of time-varying indicators at multiple spatial scales throughout the disaster cycle.

The consortium of 8 prominent scientific institutions and highly skilled SMEs has considerable experience in their respective fields. Many partners currently collaborate on the Global Earthquake Model Inventory Data Collection Tool (GEM IDCT). The ultimate goal is to produce a multi-resolution time varying indicator monitoring framework that applies to the whole disaster cycle. The framework is intended to· become the de-facto standard for future mapping of vulnerabilities.

 

Co-funded by the European Commission under FP7 (Seventh Framework Programme)
THEME [SPA.2012.1.1-04] Support to emergency response management - Grant agreement no: 312972

© SENSUM Consortium 2013