I work for the Jakarta government as a research expert. I am also an OSM contributor.
All Sessions by Atika Marwati
18 Nov. 23 (Workshops Day)
Coastline Evaluation and Comparison using OpenStreetMap Data and Sentinel Imagery: A Geospatial Analysis (EN)
14:10 - 14:20
This research presents a comprehensive analysis of coastlines using OpenStreetMap (OSM) data and Sentinel satellite imagery. The research uses these two distinct yet complementary data sources to improve understanding and decision-making in coastal management and monitoring. The comparison of coastlines is a critical endeavor in geospatial analysis, essential for evaluating changes caused by natural processes and anthropogenic influences. The research investigates discrepancies and congruencies in coastline delineations using the rich dataset of OSM, a collaborative mapping platform, and high-resolution multispectral imagery from Sentinel satellites.
Through a systematic assessment, the study underscores the strengths and limitations of each data source. OSM, which is powered by volunteer contributions, provides fine-grained details but is influenced by data availability and update frequency. Sentinel imagery, on the other hand, provides a comprehensive view of the coastal landscape but necessitates specialized processing for accurate coastline extraction.
Furthermore, the research introduces the use of OpenStreetMap data as a reference dataset for validating the accuracy of Sentinel-derived coastlines. Using spatial analysis techniques, the study quantifies deviations and assesses the overall precision of Sentinel-derived coastlines. Normalized Difference Water Index (NDWI) is used to derive the coastline of the Capital City of Indonesia, Jakarta. There are four years data starting 2017 to 2020.
The findings of this research contribute to a more informed approach to coastline analysis by combining the crowd-sourced nature of OSM and the technological prowess of Sentinel satellites. The findings have implications for coastal management, disaster preparedness, and environmental assessment, guiding policy and planning efforts.
Finally, this study provides a thorough comparison and evaluation of coastlines using OpenStreetMap data and Sentinel imagery. The combination of these data sources highlights the importance of collaborative mapping and remote sensing in furthering our understanding of dynamic coastal environments.
Keywords: Coastline comparison, OpenStreetMap, Sentinel imagery, geospatial analysis, remote sensing, coastal management, environmental assessment, spatial analysis.