Mosaic Utility and Large Dataset Integration for SERAC (MOULINS) Demo Version

By Ashlynn Narkevic

Check the accuracy and correct digital elevation models (DEMs) using laser altimetry. (Demo version)

NOTE: This tool will be updated with a link to the hosted tool and/or source code as soon as it is available. Thank you for your patience during our transition.

MOULINS is a processing workflow based on the Surface Elevation Reconstruction and Change Detection (SERAC) method that allows users to check the accuracy of DEMs by comparison with laser altimetry time series, and then correct the DEMs to bring them into better agreement with altimetry. By using elevation time series, the comparison can be performed even in the absence of altimetry flights that are temporally proximal to the DEM acquisition date, and does not require control points on stable terrain. The workflow incorporates a climate model, allowing seasonal variations to be optionally removed from the time series, which allows DEMs from different times of year to be combined into a more seamless synthetic elevation mosaic. It also includes tools for compensating for tidal and barometric effects on floating ice.

The full MOULINS workflow involves large volumes of data, so this demo was created so that users can familiarize themselves with the process and decide whether the tool will be helpful for them without requiring them to prepare their DEMs or wait for the altimetry database to be queried. In this demo, you will be given two WorldView DEMs from the N79 glacier in Northeast Greenland that overlap spatially, but are five months apart, and have relatively large errors. Then, using the included altimetry, you will be shown how the error estimate and correction process brings the DEMs into better agreement with altimetry, and with each other in their zone of overlap.

For the latest release of the full version, go to https://github.com/anarkevic/MOULINS.

Abstract

MOULINS is a processing workflow based on the Surface Elevation Reconstruction and Change Detection (SERAC) method that allows users to check the accuracy of DEMs by comparison with laser altimetry time series, and then correct the DEMs to bring them into better agreement with altimetry. By using elevation time series, the comparison can be performed even in the absence of altimetry flights that are temporally proximal to the DEM acquisition date, and does not require control points on stable terrain. The workflow incorporates a climate model, allowing seasonal variations to be optionally removed from the time series, which allows DEMs from different times of year to be combined into a more seamless synthetic elevation mosaic. It also includes tools for compensating for tidal and barometric effects on floating ice.