{"type": "FeatureCollection", "features": [{"id": "10261/378480", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:21:44Z", "type": "Journal Article", "created": "2024-12-20", "title": "Imaging Spectroscopy: Earth and Planetary Remote Sensing with the PSI Tetracorder and Expert Systems from Rovers to EMIT and Beyond", "description": "Abstract                <p>A system for rapid analysis of spectroscopy data with emphasis on planetary surfaces, both imaging and single-spectrum data, is described. The system, called Tetracorder, is commanded by an expert system developed by expert spectroscopists. The Tetracorder and the expert system apply multiple algorithms to analyze a spectrum in segments, leveraging the advantages of each spectral region\uffe2\uff80\uff99s sensitivity to detecting different compounds, whether solid, liquid, or gas. The algorithms compare measured spectra to the spectral properties of materials in spectral libraries. The libraries include pure minerals, mineral mixtures that include areal mixtures, intimate mixtures, coatings, and molecular mixtures and other compounds such as organics, vegetation, liquids, and gases. Absorption bands of a particulate surface change shape with grain size, and shape changes are used in some cases to constrain grain size of each component in the surface. The different algorithm results are compared for each spectral region, and specific material composition and average grain size (when possible) are identified. The system is operational analyzing real-time data on a new generation of rovers for future planetary missions, as well as identifying materials using an imaging spectrometer on the International Space Station. Four abundance models are presented, each with increasing sophistication, that are computationally fast on imaging spectrometer data and use Tetracorder identifications to produce maps of mineral abundances. A fifth full radiative model that includes multilayer surfaces is presented but is computationally intensive. The system is open source and available on GitHub.</p", "keywords": ["Mixture model", "Astronomy", "QB1-991", "http://metadata.un.org/sdg/3", "Planetary mineralogy", "http://metadata.un.org/sdg/9", "01 natural sciences", "Build resilient infrastructure", " promote inclusive and sustainable industrialization and foster innovation", "Tetracorder", "0103 physical sciences", "Radiative transfer", "Planetary surfaces", "Infrared spectroscopy", "Spectroscopy", "Ensure healthy lives and promote well-being for all at all ages", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://iopscience.iop.org/article/10.3847/PSJ/ad6c3a/pdf"}, {"href": "https://doi.org/10261/378480"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Planetary%20Science%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/378480", "name": "item", "description": "10261/378480", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/378480"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-01T00:00:00Z"}}, {"id": "10.5194/acp-24-7421-2024", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:35Z", "type": "Journal Article", "created": "2024-06-28", "title": "Modeling impacts of dust mineralogy on fast climate response", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Mineralogical composition drives dust impacts on Earth's climate systems. However, most climate models still use homogeneous dust, without accounting for the temporal and spatial variation in mineralogy. To quantify the radiative impact of resolving dust mineralogy on Earth's climate, we implement and simulate the distribution of dust minerals (i.e., illite, kaolinite, smectite, hematite, calcite, feldspar, quartz, and gypsum) from Claquin et\u00a0al. (1999) (C1999) and activate their interaction with radiation in the GFDL AM4.0 model. Resolving mineralogy reduces dust absorption compared to the homogeneous dust used in the standard GFDL AM4.0 model that assumes a globally uniform hematite volume content of 2.7\u2009% (HD27). The reduction in dust absorption results in improved agreement with observation-based single-scattering albedo (SSA), radiative fluxes from CERES (the Clouds and the Earth's Radiant Energy System), and land surface temperature from the CRU (Climatic Research Unit) compared to the baseline HD27 model version. It also results in distinct radiative impacts on Earth's climate over North Africa. Over the 19-year (from 2001 to 2019) modeled period during JJA (June\u2013July\u2013August), the reduction in dust absorption in AM4.0 leads to a reduction of over 50\u2009% in net downward radiation across the Sahara and approximately 20\u2009% over the Sahel at the top of the atmosphere (TOA) compared to the baseline HD27 model version. The reduced dust absorption weakens the atmospheric warming effect of dust aerosols and leads to an alteration in land surface temperature, resulting in a decrease of 0.66\u2009K over the Sahara and an increase of 0.7\u2009K over the Sahel. The less warming in the atmosphere suppresses ascent and weakens the monsoon inflow from the Gulf of Guinea. This brings less moisture to the Sahel, which combined with decreased ascent induces a reduction of precipitation. To isolate the effect of reduced absorption compared to resolving spatial and temporal mineralogy, we carry out a simulation where the hematite volume content of homogeneous dust is reduced from 2.7\u2009% to 0.9\u2009% (HD09). The dust absorption (e.g., single-scattering albedo) of HD09 is comparable to that of the mineralogically speciated model on a global mean scale, albeit with a lower spatial variation that arises solely from particle size. Comparison of the two\u00a0models indicates that the spatial inhomogeneity in dust absorption resulting from resolving mineralogy does not have significant impacts on Earth's radiation and climate, provided there is a similar level of dust absorption on a global mean scale before and after resolving dust mineralogy. However, uncertainties related to emission and distribution of minerals may blur the advantages of resolving minerals to study their impact on radiation, cloud properties, ocean biogeochemistry, air quality, and photochemistry. On the other hand, lumping together clay minerals (i.e., illite, kaolinite, and smectite), but excluding externally mixed hematite and gypsum, appears to provide both computational efficiency and relative accuracy. Nevertheless, for specific research, it may be necessary to fully resolve mineralogy to achieve accuracy.                     </p></article>", "keywords": ["Mineral dusts", "Climatology", "Physics", "QC1-999", "\u00c0rees tem\u00e0tiques de la UPC::F\u00edsica", "15. Life on land", "01 natural sciences", "Chemistry", "13. Climate action", "Climatologia", "Radiative transfer", "\u00c0rees tem\u00e0tiques de la UPC::Enginyeria civil::Geologia::Mineralogia", "Pols minerals", "QD1-999", "Transfer\u00e8ncia radiativa", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://acp.copernicus.org/articles/24/7421/2024/acp-24-7421-2024.pdf"}, {"href": "https://doi.org/10.5194/acp-24-7421-2024"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Atmospheric%20Chemistry%20and%20Physics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/acp-24-7421-2024", "name": "item", "description": "10.5194/acp-24-7421-2024", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/acp-24-7421-2024"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-06-28T00:00:00Z"}}, {"id": "10.3847/psj/ad6c3a", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:19:18Z", "type": "Journal Article", "created": "2024-12-20", "title": "Imaging Spectroscopy: Earth and Planetary Remote Sensing with the PSI Tetracorder and Expert Systems from Rovers to EMIT and Beyond", "description": "Abstract                <p>A system for rapid analysis of spectroscopy data with emphasis on planetary surfaces, both imaging and single-spectrum data, is described. The system, called Tetracorder, is commanded by an expert system developed by expert spectroscopists. The Tetracorder and the expert system apply multiple algorithms to analyze a spectrum in segments, leveraging the advantages of each spectral region\uffe2\uff80\uff99s sensitivity to detecting different compounds, whether solid, liquid, or gas. The algorithms compare measured spectra to the spectral properties of materials in spectral libraries. The libraries include pure minerals, mineral mixtures that include areal mixtures, intimate mixtures, coatings, and molecular mixtures and other compounds such as organics, vegetation, liquids, and gases. Absorption bands of a particulate surface change shape with grain size, and shape changes are used in some cases to constrain grain size of each component in the surface. The different algorithm results are compared for each spectral region, and specific material composition and average grain size (when possible) are identified. The system is operational analyzing real-time data on a new generation of rovers for future planetary missions, as well as identifying materials using an imaging spectrometer on the International Space Station. Four abundance models are presented, each with increasing sophistication, that are computationally fast on imaging spectrometer data and use Tetracorder identifications to produce maps of mineral abundances. A fifth full radiative model that includes multilayer surfaces is presented but is computationally intensive. The system is open source and available on GitHub.</p", "keywords": ["Mixture model", "Astronomy", "QB1-991", "Planetary mineralogy", "01 natural sciences", "Build resilient infrastructure", " promote inclusive and sustainable industrialization and foster innovation", "Tetracorder", "0103 physical sciences", "Radiative transfer", "Planetary surfaces", "Infrared spectroscopy", "Ensure healthy lives and promote well-being for all at all ages", "Spectroscopy", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://iopscience.iop.org/article/10.3847/PSJ/ad6c3a/pdf"}, {"href": "https://doi.org/10.3847/psj/ad6c3a"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20Planetary%20Science%20Journal", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3847/psj/ad6c3a", "name": "item", "description": "10.3847/psj/ad6c3a", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3847/psj/ad6c3a"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-01T00:00:00Z"}}, {"id": "2117/411014", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-20T16:22:22Z", "type": "Journal Article", "created": "2024-06-28", "title": "Modeling impacts of dust mineralogy on fast climate response", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Mineralogical composition drives dust impacts on Earth's climate systems. However, most climate models still use homogeneous dust, without accounting for the temporal and spatial variation in mineralogy. To quantify the radiative impact of resolving dust mineralogy on Earth's climate, we implement and simulate the distribution of dust minerals (i.e., illite, kaolinite, smectite, hematite, calcite, feldspar, quartz, and gypsum) from Claquin et\u00a0al. (1999) (C1999) and activate their interaction with radiation in the GFDL AM4.0 model. Resolving mineralogy reduces dust absorption compared to the homogeneous dust used in the standard GFDL AM4.0 model that assumes a globally uniform hematite volume content of 2.7\u2009% (HD27). The reduction in dust absorption results in improved agreement with observation-based single-scattering albedo (SSA), radiative fluxes from CERES (the Clouds and the Earth's Radiant Energy System), and land surface temperature from the CRU (Climatic Research Unit) compared to the baseline HD27 model version. It also results in distinct radiative impacts on Earth's climate over North Africa. Over the 19-year (from 2001 to 2019) modeled period during JJA (June\u2013July\u2013August), the reduction in dust absorption in AM4.0 leads to a reduction of over 50\u2009% in net downward radiation across the Sahara and approximately 20\u2009% over the Sahel at the top of the atmosphere (TOA) compared to the baseline HD27 model version. The reduced dust absorption weakens the atmospheric warming effect of dust aerosols and leads to an alteration in land surface temperature, resulting in a decrease of 0.66\u2009K over the Sahara and an increase of 0.7\u2009K over the Sahel. The less warming in the atmosphere suppresses ascent and weakens the monsoon inflow from the Gulf of Guinea. This brings less moisture to the Sahel, which combined with decreased ascent induces a reduction of precipitation. To isolate the effect of reduced absorption compared to resolving spatial and temporal mineralogy, we carry out a simulation where the hematite volume content of homogeneous dust is reduced from 2.7\u2009% to 0.9\u2009% (HD09). The dust absorption (e.g., single-scattering albedo) of HD09 is comparable to that of the mineralogically speciated model on a global mean scale, albeit with a lower spatial variation that arises solely from particle size. Comparison of the two\u00a0models indicates that the spatial inhomogeneity in dust absorption resulting from resolving mineralogy does not have significant impacts on Earth's radiation and climate, provided there is a similar level of dust absorption on a global mean scale before and after resolving dust mineralogy. However, uncertainties related to emission and distribution of minerals may blur the advantages of resolving minerals to study their impact on radiation, cloud properties, ocean biogeochemistry, air quality, and photochemistry. On the other hand, lumping together clay minerals (i.e., illite, kaolinite, and smectite), but excluding externally mixed hematite and gypsum, appears to provide both computational efficiency and relative accuracy. Nevertheless, for specific research, it may be necessary to fully resolve mineralogy to achieve accuracy.</p></article>", "keywords": ["Mineral dusts", "Climatology", "Physics", "QC1-999", "\u00c0rees tem\u00e0tiques de la UPC::F\u00edsica", "15. Life on land", "01 natural sciences", "Chemistry", "13. 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