DEVELOPING SEMI-AUTOMATED TOOLBARS FOR DATA PROCESSING AND FLOOD MODELING: THE CASE OF HAZARD ASSESSMENT AND MAPPING IN MIMAROPA AND LAGUNA, PHILIPPINES

摘要

The Philippines has been frequently hit by natural disasters like typhoons, storm surges and heavy rains because of its geographical setting. On the average, about (20) typhoons enter the Philippine Area of Responsibility (PAR) every year. These often result to flooding, deaths, and damages to properties and infrastructures. This often pose challenge for researchers and planners alike to do extensive work on hazard assessments and disaster risk reduction and management to come up with preventive measures. . The University of the Philippines (UPLB) is one of the partner SUCs of Phil-LiDAR 1 program- which aims to do hazard assessment and mapping of the Philippines. With the large dataset that is processed, various issues and concerns arise from time to time. In order to address these, an automated toolbar was created to speed up the processing of large LiDAR data set. The main tasks of the toolbar are to: generate centerline and flow paths, calculate root mean square error (RMSE), calibrate Digital Terrain Model (DTM), generate indices, and load indices. The toolbar also minimizes the human error in processing the data. In the case of the flood modeling, the Soil Use Polygon data made available to the team was found to consist of 'no data' areas. To resolve the problem, a new Soil Use Polygon was created using land cover data from NAMRIA and soil data from BSWM.