Endmember spectra and classified mosaics derived from CRISM mapping data at the south pole of Mars ...
Overview Multispectral mapping data from the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) provide a unique opportunity to characterize south polar ice deposits at higher spectral sampling, spatial resolution, or spatiotemporal coverage than previous work. This new perspective can hel...
Main Author: | |
---|---|
Format: | Dataset |
Language: | English |
Published: |
Zenodo
2023
|
Subjects: | |
Online Access: | https://dx.doi.org/10.5281/zenodo.8201615 https://zenodo.org/record/8201615 |
id |
ftdatacite:10.5281/zenodo.8201615 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.5281/zenodo.8201615 2023-10-01T03:59:30+02:00 Endmember spectra and classified mosaics derived from CRISM mapping data at the south pole of Mars ... Cartwright, S. F. A. 2023 https://dx.doi.org/10.5281/zenodo.8201615 https://zenodo.org/record/8201615 en eng Zenodo https://dx.doi.org/10.5281/zenodo.6960943 https://dx.doi.org/10.1029/2022je007372 https://dx.doi.org/10.5281/zenodo.8201616 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess Mars polar ice spectroscopy machine learning Dataset dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.820161510.5281/zenodo.696094310.1029/2022je00737210.5281/zenodo.8201616 2023-09-04T13:32:53Z Overview Multispectral mapping data from the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) provide a unique opportunity to characterize south polar ice deposits at higher spectral sampling, spatial resolution, or spatiotemporal coverage than previous work. This new perspective can help to constrain the nature and distribution of different mixtures of CO 2 ice, H 2 O ice, and dust that influence the formation, evolution, and preservation of Mars climate records. We processed 1103 CRISM observations spanning southern summer of six Mars Years through a combination of k -means clustering and random forest classification. Using a set of 12 spectral endmembers directly tied to previous work with high-resolution CRISM targeted data, we made a series of temporally restricted mosaics showing surface spectral variation over time. The endmember set and classified mosaics produced in this work can provide critical context for future studies of the dynamic processes that shape south polar ice deposits. ... Dataset South pole DataCite Metadata Store (German National Library of Science and Technology) South Pole |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Mars polar ice spectroscopy machine learning |
spellingShingle |
Mars polar ice spectroscopy machine learning Cartwright, S. F. A. Endmember spectra and classified mosaics derived from CRISM mapping data at the south pole of Mars ... |
topic_facet |
Mars polar ice spectroscopy machine learning |
description |
Overview Multispectral mapping data from the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) provide a unique opportunity to characterize south polar ice deposits at higher spectral sampling, spatial resolution, or spatiotemporal coverage than previous work. This new perspective can help to constrain the nature and distribution of different mixtures of CO 2 ice, H 2 O ice, and dust that influence the formation, evolution, and preservation of Mars climate records. We processed 1103 CRISM observations spanning southern summer of six Mars Years through a combination of k -means clustering and random forest classification. Using a set of 12 spectral endmembers directly tied to previous work with high-resolution CRISM targeted data, we made a series of temporally restricted mosaics showing surface spectral variation over time. The endmember set and classified mosaics produced in this work can provide critical context for future studies of the dynamic processes that shape south polar ice deposits. ... |
format |
Dataset |
author |
Cartwright, S. F. A. |
author_facet |
Cartwright, S. F. A. |
author_sort |
Cartwright, S. F. A. |
title |
Endmember spectra and classified mosaics derived from CRISM mapping data at the south pole of Mars ... |
title_short |
Endmember spectra and classified mosaics derived from CRISM mapping data at the south pole of Mars ... |
title_full |
Endmember spectra and classified mosaics derived from CRISM mapping data at the south pole of Mars ... |
title_fullStr |
Endmember spectra and classified mosaics derived from CRISM mapping data at the south pole of Mars ... |
title_full_unstemmed |
Endmember spectra and classified mosaics derived from CRISM mapping data at the south pole of Mars ... |
title_sort |
endmember spectra and classified mosaics derived from crism mapping data at the south pole of mars ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.8201615 https://zenodo.org/record/8201615 |
geographic |
South Pole |
geographic_facet |
South Pole |
genre |
South pole |
genre_facet |
South pole |
op_relation |
https://dx.doi.org/10.5281/zenodo.6960943 https://dx.doi.org/10.1029/2022je007372 https://dx.doi.org/10.5281/zenodo.8201616 |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.820161510.5281/zenodo.696094310.1029/2022je00737210.5281/zenodo.8201616 |
_version_ |
1778533608371257344 |