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Data for: Novel Quantitative Methods to Enable Multispectral Identification of High-Purity Water Ice Exposures on Mars from High Resolution Imaging Science Experiment (HiRISE) Images
<p>This repository contains all the HiRISE UNFILTERED products used in the paper by Rangarajan et al. (2023) titled "Novel quantitative methods to enable multispectral identification of high-purity water ice exposures using High Resolution Imaging Science Experiment (HiRISE) images" published in Icarus. </p>
ShareScore
24/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 8
- Reuse readiness
- 8
- Engagement
- 0