What is it about?

This study uses satellite image fusion techniques to detect and analyze shoreline changes on the northwestern coast of Yucatan, Mexico. By combining data from the SPOT-5 satellite over a 10-year period, the study provides insights into the temporal dynamics of the coastline and identifies factors influencing shoreline trends. The methodology presented proves effective for shoreline management and future development planning in data-scarce and inaccessible areas.

Featured Image

Why is it important?

Monitoring shoreline changes is crucial for understanding coastal processes, identifying the impacts of human activities and natural factors, and informing coastal management strategies. However, obtaining accurate and timely data for shoreline measurements can be challenging, especially in remote or inaccessible regions. This study demonstrates the potential of satellite image fusion, specifically using SPOT-5 data, to detect shoreline changes over relatively short time frames. The findings contribute to the field of coastal monitoring, providing a cost-effective approach for shoreline analysis in areas with limited data availability.

Perspectives

By overcoming the limitations of data scarcity and low spatial resolution, our methodology offers valuable insights into the temporal dynamics of the coastline and helps identify key factors influencing shoreline trends. This research has practical implications for coastal planning and management, particularly in regions with limited access to frequent and accurate shoreline measurements. I hope that our study will inspire further research and encourage the use of satellite image fusion in remote areas and under budget constraints, ultimately supporting more informed decision-making for sustainable coastal development.

Christian Appendini
Universidad Nacional Autonoma de Mexico

Read the Original

This page is a summary of: Short-Term Shoreline Trend Detection Patterns Using SPOT-5 Image Fusion in the Northwest of Yucatan, Mexico, Estuaries and Coasts, May 2019, Springer Science + Business Media,
DOI: 10.1007/s12237-019-00573-7.
You can read the full text:

Read

Contributors

The following have contributed to this page