This study introduces a generalized workflow for deploying Remotely Piloted Aircraft Systems (RPAS), equipped with geophysical sensors, to monitor and respond to natural hazards. This workflow is referred to as the Natural Disaster Information System (NDIS). The project focuses on utilizing RPAS as geophysical/geodetic sensor platforms and integrates Geographic Information Systems (GIS) by exploring common ground among natural hazards, RPAS, and geophysical sensors to develop a site-specific workflow. NDIS aims to enhance data acquisition with optimized survey parameters for specific hazards, RPAS and sensor combinations. The development of the NDIS involves establishing databases consisting of five types of geohazards (volcano, faults, earthquake, tsunami, and landslide), a commercial RPAS database, and geophysical methods suitable for hazard monitoring and surveying. Additionally, a proximity analysis is conducted from the hazard source to the nearest infrastructure to determine accessibility. The outcome of this NDIS workflow is the identification of the RPAS and its specifications suitable for conducting hazard monitoring in a specific user-defined location. NDIS facilitates rapid RPAS mission deployment during disasters, contributing not only to technological advancements but also aligning with broader objectives outlined in the United Nations' Sustainable Development Goals. These include Goal 11, focusing on resilient urbanization, and Goal 17, emphasizing technology for disseminating information on natural hazards and disaster management.