000019130 001__ 19130
000019130 005__ 20170118182300.0
000019130 04107 $$aeng
000019130 046__ $$k2017-01-09
000019130 100__ $$aJavadnejad, Farid
000019130 24500 $$a2015 Gorkha Post-Earthquake Reconnaissance of a Historic Village With Micro Unmanned Aerial Systems

000019130 24630 $$n16.$$pProceedings of the 16th World Conference on Earthquake Engineering
000019130 260__ $$b
000019130 506__ $$arestricted
000019130 520__ $$2eng$$aThe M7.8 Gorkha earthquake that occurred in Nepal in April 2015 and its resulting aftershocks caused extensive widespread damage to numerous built-up urban centers. One example is Bungamati, a small village approximately 12 kilometers south of Kathmandu, Nepal, that overlooks the Bagmati River. This village dates back to the 6th century and contains the Temple of Macchindranath within its city limits. Within this village, numerous, tightly-spaced masonry and earthen style structures exists in a non-grid pattern with many streets only passable by pedestrian traffic. Such a village presents significant challenges for efficient damage assessment following an extreme event, where both narrow streets and urban canyons limit vehicular access for equipment and the clear sky required to collect global navigation satellite system (GNSS) data. In the aftermath of the earthquake series, two unmanned aerial system (UAS) platforms characterized the structural damage experienced by the village. A lightweight digital camera mounted on each platform collected visual images and both platforms flew on semi-autonomous paths. The applications of these UAS platforms permit damage assessment at a detailed level that is not achievable through satellite imagery, which has significantly less physical image resolution and at times has occlusions due to inclement weather. With these two platforms, 1300 high-definition, digital images were used to reconstruct the village into a 3D model via structure-from-motion, a computer vision technique. The resulting 3D point cloud and imagery allows for digital assessment of the structural performance. These remotely generated damage assessments were completed in a time-efficient, cost-effective, and safe manner with limited exposure to the damaged village.

000019130 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000019130 653__ $$aUnmanned Aerial Systems; Structure–from-Motion; Damage Detection; 2015 Gorkha Earthquake; Remote Sensing Assessment.

000019130 7112_ $$a16th World Conference on Earthquake Engineering$$cSantiago (CL)$$d2017-01-09 / 2017-01-13$$gWCEE16
000019130 720__ $$aJavadnejad, Farid$$iMohammadi, Mohammad Ebrahim$$iWood, Richard L$$iGillins, Daniel T$$iGillins, Matthew N
000019130 8560_ $$ffischerc@itam.cas.cz
000019130 8564_ $$s676502$$uhttps://invenio.itam.cas.cz/record/19130/files/2917.pdf$$yOriginal version of the author's contribution as presented on USB, paper 2917.
000019130 962__ $$r16048
000019130 980__ $$aPAPER