2026-07-21T23:18:34Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:18970 2024-03-14T07:19:01Z ddc:004 open_access

Power of GIS Mapping: ATLAS Flood Maps 2022 (Short Paper) Usmani, Munazza Bhatti, Hafiz Muhammad Tayyab Bovolo, Francesca Napolitano, Maurizio GIS Disaster Mapping Open Data Geospatial Technology Remote Sensing In this paper, we are introducing an efficient method based on the GIS technology, to design data immediate and analysis-ready mapping from open GIS and remote sensing data, vector and raster data into a single visualization to facilitate fast and flexible mapping, also referred to as ATLAS maps. The Google Earth Engine approach is used to pre-process the satellite data, while ArcGIS software is to integrate all the data layers. Since the ArcGIS software is included as a default dependency in GIS and remote sensing data, the proposed method provides a cross-platform and single-technology solution for handling flood mapping. For now, we conducted flood analysis using the latest open data for Pakistan and Nigeria countries, then elaborated on the advantages of each data for flood mapping with respect to inundated areas, rainfall analysis, and affected populations, health, and education facilities. Given a wide range of tasks that can benefit from the method, future work will extend the methodology to heterogeneous geodata (vector and raster) to support seamless and make it automatic interfaces. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Munazza Usmani and Hafiz Muhammad Tayyab Bhatti and Francesca Bovolo and Maurizio Napolitano 2023 Is Part Of LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.GIScience.2023.75 urn:nbn:de:0030-drops-189709 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.75 eng https://creativecommons.org/licenses/by/4.0/legalcode