Integrating Drone, Participatory Mapping and GIS for Enhancing Resilience in Remote Communities

Authors: Qiuxi Li*, University of Delaware
Topics: China
Keywords: GIS, resilience, mapping
Session Type: Poster
Day: 4/5/2019
Start / End Time: 9:55 AM / 11:35 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: Download

Though people in underdeveloped countries are impacted by more frequent and severe disasters, efforts to reduce risks and build resilience have been significantly hampered by the fact that people lack maps with sufficient detail. Collaborative mapping platforms such as the OpenStreetMap enables volunteers to create maps for a remote region based on the Bing map. However, the quality and resolution of the images that the Bing and the Google Earth offer varies greatly across the world. The objective of this study is to create resilience maps for two remote villages where the region is almost invisible from the satellite images.

Without professional surveying instruments, high-cost and high-resolution satellite images, this study explores a low-cost mapping and georeferencing method by integrating drone, participatory mapping, field visits, and GIS techniques. The communities that this study focus on are among the thousands of ethnic villages in China’s Southwest Guizhou Province. These villages are well known for their unique ethnic culture, long history, traditional wooden houses as well as frequent fire accidents. Understanding the distribution of wooden houses, fire-fighting appliances, water sources, tourism resources in these villages will greatly enhance the ability of the community in disaster prevention, economic development as well as cultural protection. The resilience maps thus providing these remote communities with technical assistance which inform members about their risks, resources, and capacities.

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