Europa's Microfeatures


Jupiter’s moon Europa is an active target of research because of its unique geology and its potential for habitability. Europa’s icy chaos disrupts and transforms the previous terrain, suggesting melting is involved. Chaos occurs alongside several types of endogenic surface features. These microfeatures are under <100 km2 in area and include uplifts and domes, pits, spots, and hybrid features. The distribution of microfeatures is known in the ~10% of the Europa’s surface that are covered by the regional mosaics (“RegMaps”). The efforts to connect microfeature formation to any kind of heat transport in Europa are confounded because microfeatures are difficult to identify outside of RegMaps due to low image resolutions. Finding microfeatures outside of RegMaps would provide new observational constraints for microfeature formation models. 
First, I mapped microfeatures across four of Europa’s RegMaps and validated them against other mapping datasets. Microchaos features are the most numerous, followed by pits, domes, then hybrids. Spots are the least common features, and the smallest. Next, I mapped features in low-resolution images that covered the E15RegMap01 area to determine error rates and sources of omission or misclassification for features mapped in low-resolution images. Of all features originally mapped in the RegMap, pits and domes were the least likely to be re-mapped or positively identified (24.2% and 5%, respectively). Chaos, spots, and hybrids were accurately classified over 70% of the time. Quantitatively classifying these features using discriminant function analysis yielded comparable values of accuracy when compared to a human mapper. Finally, nearest-neighbor clustering analyses were used to show that pits are clustered in all regions, while chaos, domes, and hybrids vary in terms of their spatial clustering. 
This work suggests that the most likely processes for microfeature formations is either the evolution of liquid water sills within Europa’s ice shell or cryovolcanism. Future work extending to more areas outside of the RegMaps can further refine microfeature formation models. The detection of liquid water at or near the surface is a major goal of multiple upcoming Europa missions; this work provides predictions that can be directly tested by these missions to maximize their scientific return.
A part of the mapping I did for my dissertation work. This is an area of Europa near the equator in the E15RegMap01 region (image Galileo/SSI/04499618.65).
The potential subsurface structure underneath the study area of NASA Galileo/SSI/04499618.65. Note that the majority of these sills are projected to be under 2 km from the surface of Europa’s ice shell.
Five group discriminant function analysis plot with LowRes microfeatures included as unclassified data. All RegMap microfeatures made up the classification framework.

Publications


Quantifying misidentification rates of Europa's microfeatures in low-resolution Galileo imaging


J. L. Noviello, A. R. Rhoden

Icarus, vol. 365, 2021 Sep, p. 114495


An Investigation of the Relationships Between Double Ridges and Pits on Europa


J. L. Noviello, Z. A. Torrano

Lunar and Planetary Science Conference, Lunar and Planetary Science Conference, 2020 Mar, p. 1562


Mapping Europa's microfeatures in regional mosaics: New constraints on formation models


J. L. Noviello, Z. A. Torrano, A. R. Rhoden, K. N. Singer

Icarus, vol. 329, 2019 Sep, pp. 101-123


Global Microfeature Mapping on Europa: Constraining Microfeature Formation Models and the Presence of Liquid Water in the Ice Shell


J. L. Noviello, A. R. Rhoden

Lunar and Planetary Science Conference, Lunar and Planetary Science Conference, 2019 Mar, p. 1461


Identification of Microfeatures on Europa in Low-Resolution Galileo Images: Successes, Limits, and Implications for Europa's Exploration


J. L. Noviello, A. R. Rhoden

Lunar and Planetary Science Conference, Lunar and Planetary Science Conference, 2018 Mar, p. 2707


Microfeature Clustering on Europa: A Potential Clue to the Subsurface Structure


J. L. Noviello, Z. A. Torrano, A. R. Rhoden, M. Manga

Europa Deep Dive 1: Ice-Shell Exchange Processes, vol. 2048, 2017 Nov, p. 7013


Order from Chaos: A Quantitative Approach to Identifying Small Chaos Features on Europa


J. L. Noviello, A. R. Rhoden

Lunar and Planetary Science Conference, Lunar and Planetary Science Conference, 2016 Mar, p. 2579


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