Endmember spectra and classified maps derived from CRISM targeted data at the south pole of Mars

Overview Current maps of compositional variation across south polar ice exposures on Mars do not resolve the meter-scales at which erosional processes are most active, ultimately limiting our understanding of how the deposits form and evolve and how they can be used to interpret long-term climate re...

Full description

Bibliographic Details
Main Author: Cartwright, Samuel F. A.
Format: Dataset
Language:English
Published: 2022
Subjects:
ice
Online Access:https://zenodo.org/record/6960944
https://doi.org/10.5281/zenodo.6960944
id ftzenodo:oai:zenodo.org:6960944
record_format openpolar
spelling ftzenodo:oai:zenodo.org:6960944 2023-06-06T11:59:24+02:00 Endmember spectra and classified maps derived from CRISM targeted data at the south pole of Mars Cartwright, Samuel F. A. 2022-08-04 https://zenodo.org/record/6960944 https://doi.org/10.5281/zenodo.6960944 eng eng doi:10.5281/zenodo.6960943 https://zenodo.org/record/6960944 https://doi.org/10.5281/zenodo.6960944 oai:zenodo.org:6960944 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Mars polar ice spectroscopy machine learning info:eu-repo/semantics/other dataset 2022 ftzenodo https://doi.org/10.5281/zenodo.696094410.5281/zenodo.6960943 2023-04-13T21:50:09Z Overview Current maps of compositional variation across south polar ice exposures on Mars do not resolve the meter-scales at which erosional processes are most active, ultimately limiting our understanding of how the deposits form and evolve and how they can be used to interpret long-term climate records. In this study, we use k-means clustering and random forest classification to identify and map a set of universal spectral endmembers across 167 high-resolution observations acquired during southern summer by the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM). The 21 endmembers show distinct combinations and strengths of key infrared absorption features reflecting diverse mixtures of CO2 ice, H2O ice, and dust. The resulting compositional framework can be used to characterize the nature of both seasonal CO2 frost and the residual ices it overlies across a variety of terrains. Contents The repository contains three .zip files, which can be expanded to access the files described below: classified_maps.zip lookup_files SP_CRISM_RF_ColorMap.clr : An ESRI-formatted color map file that can be used to apply the endmember color scheme to random forest-classified maps in ArcGIS (see Symbology settings). SP_CRISM_RF_ColorMap.txt : A text file that can be loaded into Python as a numpy array and used to generate a matplotlib color ramp. Row indices correspond to endmember numbers (see below) and columns are red, green, and blue values scaled from 0 to 1. SP_CRISM_RF_Endmember_Lookup.csv : A lookup table that can be used to cross-reference between endmember numbers (as stored in GeoTiffs or the indices of the colormaps above) and corresponding endmember names (C1, Dc2, etc.). morphologic_reference Contains GeoTiffs of the R1330 spectral parameter (reflectance at 1330 nm) for each processed CRISM observation. Filenames indicate the observation ID, Mars Year, and solar longitude (Ls) of acquisition ("Ls314-07" = Ls 314.07º). These images can be used as a reference for the surface morphology and albedo of each ... Dataset South pole Zenodo South Pole
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language English
topic Mars
polar
ice
spectroscopy
machine learning
spellingShingle Mars
polar
ice
spectroscopy
machine learning
Cartwright, Samuel F. A.
Endmember spectra and classified maps derived from CRISM targeted data at the south pole of Mars
topic_facet Mars
polar
ice
spectroscopy
machine learning
description Overview Current maps of compositional variation across south polar ice exposures on Mars do not resolve the meter-scales at which erosional processes are most active, ultimately limiting our understanding of how the deposits form and evolve and how they can be used to interpret long-term climate records. In this study, we use k-means clustering and random forest classification to identify and map a set of universal spectral endmembers across 167 high-resolution observations acquired during southern summer by the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM). The 21 endmembers show distinct combinations and strengths of key infrared absorption features reflecting diverse mixtures of CO2 ice, H2O ice, and dust. The resulting compositional framework can be used to characterize the nature of both seasonal CO2 frost and the residual ices it overlies across a variety of terrains. Contents The repository contains three .zip files, which can be expanded to access the files described below: classified_maps.zip lookup_files SP_CRISM_RF_ColorMap.clr : An ESRI-formatted color map file that can be used to apply the endmember color scheme to random forest-classified maps in ArcGIS (see Symbology settings). SP_CRISM_RF_ColorMap.txt : A text file that can be loaded into Python as a numpy array and used to generate a matplotlib color ramp. Row indices correspond to endmember numbers (see below) and columns are red, green, and blue values scaled from 0 to 1. SP_CRISM_RF_Endmember_Lookup.csv : A lookup table that can be used to cross-reference between endmember numbers (as stored in GeoTiffs or the indices of the colormaps above) and corresponding endmember names (C1, Dc2, etc.). morphologic_reference Contains GeoTiffs of the R1330 spectral parameter (reflectance at 1330 nm) for each processed CRISM observation. Filenames indicate the observation ID, Mars Year, and solar longitude (Ls) of acquisition ("Ls314-07" = Ls 314.07º). These images can be used as a reference for the surface morphology and albedo of each ...
format Dataset
author Cartwright, Samuel F. A.
author_facet Cartwright, Samuel F. A.
author_sort Cartwright, Samuel F. A.
title Endmember spectra and classified maps derived from CRISM targeted data at the south pole of Mars
title_short Endmember spectra and classified maps derived from CRISM targeted data at the south pole of Mars
title_full Endmember spectra and classified maps derived from CRISM targeted data at the south pole of Mars
title_fullStr Endmember spectra and classified maps derived from CRISM targeted data at the south pole of Mars
title_full_unstemmed Endmember spectra and classified maps derived from CRISM targeted data at the south pole of Mars
title_sort endmember spectra and classified maps derived from crism targeted data at the south pole of mars
publishDate 2022
url https://zenodo.org/record/6960944
https://doi.org/10.5281/zenodo.6960944
geographic South Pole
geographic_facet South Pole
genre South pole
genre_facet South pole
op_relation doi:10.5281/zenodo.6960943
https://zenodo.org/record/6960944
https://doi.org/10.5281/zenodo.6960944
oai:zenodo.org:6960944
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.696094410.5281/zenodo.6960943
_version_ 1767949345501478912