1. Dataset Title: Dataset for article - The prediction of lava flow path using remote sensing techniques and geomorphological analysis: the case of volcano eruptions in Afar region of Ethiopia
2. Name and contact information of PI: 
a. Name: Jae Sung Kim
b. Institution: Michigan Technological University
c. Address: 870 Dow Environmental Sciences, 1400 Townsend Drive, Houghton, MI 49931
d. Email: jaesungk@mtu.edu
e. ORCiD ID: 0000-0002-8922-8380
3. Project summary, description or abstract:

Natural disasters pose significant threats to the environment and make land unsuitable for man. The lava from volcanic eruptions rapidly moves on the earth surface and affect both natural and man-made features on the earth. Remote sensing is relevant in extracting information about the areas affected by lava flows without physically visiting such areas. 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 downloaded and segmented using large-scale mean shift image segmentation algorithm in the Orfeo Toolbox to find the lava objects. The center line of the lava object from the 2008 ASTER image and the flow paths from the digital elevation model with varying ground sample distance were used to find the optimal ground sample distance. The result was further verified using the Landsat 8 images of the area affected by volcanic eruption in 2017. In the result, the optimal resolution for delineating lava flow in the area was found to be 71m with an average difference of 241.9m. The study showed the successful application of remote sensing and open-source software to find the optimal ground sample distance of a DEM to predict lava flow paths. This research can serve as a workflow for researchers and scientists to make plans for responding to volcanic eruptions. 

4. Brief description of collection and processing of data:
The DEM data are driven from ASTER DEM. Lava flow paths were delineated using this DEM by the workflow developed as described in the article. Satellite images (ASTER and Landsat 8) were used to find the lava polygon area. These are data associated with the publication - The prediction of lava flow path using remote sensing techniques and geomorphological analysis: the case of volcano eruptions in Afar region of Ethiopia.

5. Description of files (names, or if too numerous, number of files, file type(s):
63 files with GIS ready vector or raster, and associated files.

a. Temporal (beginning and end dates of data collection): N/A
b. Instruments used and units of measurements: Meter
c. Column headings of data files (for tabular data): 
d. Location/GIS Coverage (if applicable to data):
Afar region, Ethiopia
e. Symbol used for missing data: N/A

6. Special software required to use data:
QGIS
7. Publications that cite or use this data: To be provided when it is published.
8. Was data derived from another data source?  If so, what source?
The DEM files were derived from the ASTER DEM.
2008 Lava polygon data was derived from ASTER image.
2017 Lava polygon data was derived from Landsat8 image.