OGC API: Ldproxy, an Updated and Contemporary Approach to Geodata Provision in Disaster Mapping

Abstract

Natural disaster occurrences have been rising for the past decades. It causes severe damage both in human properties and lives. To minimize the risk caused by disaster and accelerate the recovery, the accessibility of geospatial data is critical. WebGIS utilizes the internet to make the geospatial data accessible to a wider audience. In addition, the emergence of novel standards from OGC APIs also accelerates the accessibility of geospatial data. However, the abundance of Geospatial data requires a better performance of the webGIS. Ldproxy as a tool that follows OGC API standards could be an alternative to traditional tools such as Geoserver. This study focuses on developing a WebGIS application for accessing disaster-related geospatial data and evaluating the performance of Ldproxy in comparison to Geoserver. The method is to build a Single Page Application (SPA) using open-source data from Google Earth Engine (GEE) and OpenStreetMap (OSM). The functionalities of the webGIS enable users to retrieve OSM and GEE data and examine the impact of the disasters. The performance of Ldproxy and Geoserver is tested using Google Light House for comparison. The parameters that are tested are Speed Index, Total Blocking Time, Time to Interactive, Max Potential First Input Delay, Network Server Latency, and Total Byte Weight. As a result, Ldproxy shows slower performance in NSL compared to Geoserver. However, it offers an mvt feature format that makes the feature data can be loaded more efficiently and quickly.