Initial development of the digital crowd mapping for landslide monitoring and early warning system

Abstract

Abstract Landslide disaster risk reduction emphasizing community participation and technical instruments for monitoring and early warning has been introduced in Indonesia for more than a decade. Notable recognition from the international scientific community indicated that this approach is reliable and effective for landslide vulnerable area where a dense population exists. This paper presents our progress of the initial development framework of interdisciplinary product through digital crowd mapping for landslide and early warning in mobile apps. The crowd information from local people or community in the real-time as a ‘human sensor’ is the necessary and main point in developing this crowd mapping because not all of the landslide vulnerable area in Indonesia is covered by the monitoring and early warning technical instruments. Rainfall condition, threshold condition based on the geological structure, data monitoring from field early warning instruments, and verified crowd information from local people, are occupied as the ‘requirement definition’ for ‘system and software design’ that will be structured and provided in the apps. Central Java Province is selected as a pilot area in developing this digital crowd mapping.