A Crypto-Spatial Framework for Landslide Susceptibility Assessment and Decision-Making

Abstract

Areas where it rains a lot and the ground is unstable, landslides are quite dangerous for people as well as for buildings. Since they are not very accurate or clear, the conventional methods of determining the probability of a place sliding can slow down the decision-making process. Our response to these problems is a crypto-spatial framework based on blockchain technology meant to provide more accurate landslide risk assessments. Blockchain technology cannot be altered and is distributed rather widely. Together with geospatial data analysis, it has produced a fair and dependable approach to data exchange. Blockchain-based verification systems and geospatial analysis of environmental elements, including landforms and rainfall patterns, allowed one to confirm the accuracy of the evaluation data. Often, in areas prone to landslides, field tests ensure that the system operates as it should and consistently. More sensitivity produced more accurate estimations and improved collaboration amongst stakeholders. The present work addresses geospatial data analysis and blockchain technologies meant to reduce disaster risk. This approach increases the safety and efficiency of landslide-prone areas, so enhancing the data dependability and decision-making capacity.