Document Type
Data
Publication Date
4-17-2024
Abstract
The lava from volcanic eruptions rapidly moves on the Earth surface and affects both natural and man-made features. The objective of this study is to develop a workflow for determining the optimal ground sample distance of a digital elevation model to delineate the lava flow paths using object-based image analysis and geomorphologic analysis. For the experiment, the satellite images and digital elevation model of Afar region of Ethiopia was used. The satellite images of the affected areas were segmented using large-scale mean shift image segmentation to find the lava objects. The main centerline of the lava object from the 2008 ASTER image and the flow paths from the 2000 SRTM digital elevation model with varying ground sample distance were used to find the optimal ground sample distance. In the result, the optimal resolution for delineating lava flow was found to be 35m with 146.89m RMSE of minimum distances. The result was further compared using the 2017 case with Landsat image and 2016 ASTER DEM. The study using free and open source geospatial technologies is expected to contribute to the lava flow analysis efforts by organizations with limited funding.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Ayo, O.,
&
Kim, J.
(2024).
Dataset for article - The analysis of lava flow path using remote sensing and geo-morphological techniques: the case of volcano eruptions in Afar region of Ethiopia.
Retrieved from: https://digitalcommons.mtu.edu/all-datasets/53