Item talk:Q245928

From geokb

{

 "USGS Publications Warehouse": {
   "@context": "https://schema.org",
   "@type": "CreativeWork",
   "additionalType": "Conference Paper",
   "name": "Spectroscopic remote sensing for material identification, vegetation characterization, and mapping",
   "identifier": [
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse IndexID",
       "value": "70159021",
       "url": "https://pubs.usgs.gov/publication/70159021"
     },
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse Internal ID",
       "value": 70159021
     },
     {
       "@type": "PropertyValue",
       "propertyID": "DOI",
       "value": "10.1117/12.919121",
       "url": "https://doi.org/10.1117/12.919121"
     }
   ],
   "inLanguage": "en",
   "datePublished": "2012",
   "dateModified": "2021-10-27",
   "abstract": "Identifying materials by measuring and analyzing their reflectance spectra has been an important procedure in analytical chemistry for decades. Airborne and space-based imaging spectrometers allow materials to be mapped across the landscape. With many existing airborne sensors and new satellite-borne sensors planned for the future, robust methods are needed to fully exploit the information content of hyperspectral remote sensing data. A method of identifying and mapping materials using spectral feature analyses of reflectance data in an expert-system framework called MICA (Material Identification and Characterization Algorithm) is described. MICA is a module of the PRISM (Processing Routines in IDL for Spectroscopic Measurements) software, available to the public from the U.S. Geological Survey (USGS) at http://pubs.usgs.gov/of/2011/1155/. The core concepts of MICA include continuum removal and linear regression to compare key diagnostic absorption features in reference laboratory/field spectra and the spectra being analyzed. The reference spectra, diagnostic features, and threshold constraints are defined within a user-developed MICA command file (MCF). Building on several decades of experience in mineral mapping, a broadly-applicable MCF was developed to detect a set of minerals frequently occurring on the Earth's surface and applied to map minerals in the country-wide coverage of the 2007 Afghanistan HyMap data set. MICA has also been applied to detect sub-pixel oil contamination in marshes impacted by the Deepwater Horizon incident by discriminating the C-H absorption features in oil residues from background vegetation. These two recent examples demonstrate the utility of a spectroscopic approach to remote sensing for identifying and mapping the distributions of materials in imaging spectrometer data.",
   "description": "839014",
   "publisher": {
     "@type": "Organization",
     "name": "SPIE"
   },
   "editor": [
     {
       "@type": "Person",
       "name": "Shen, Sylvia S.",
       "givenName": "Sylvia S.",
       "familyName": "Shen"
     },
     {
       "@type": "Person",
       "name": "Lewis, Paul E.",
       "givenName": "Paul E.",
       "familyName": "Lewis"
     }
   ],
   "author": [
     {
       "@type": "Person",
       "name": "Kokaly, Raymond F. raymond@usgs.gov",
       "givenName": "Raymond F.",
       "familyName": "Kokaly",
       "email": "raymond@usgs.gov",
       "identifier": {
         "@type": "PropertyValue",
         "propertyID": "ORCID",
         "value": "0000-0003-0276-7101",
         "url": "https://orcid.org/0000-0003-0276-7101"
       },
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Crustal Geophysics and Geochemistry Science Center",
           "url": "https://www.usgs.gov/centers/geology-energy-and-minerals-science-center"
         }
       ]
     }
   ],
   "funder": [
     {
       "@type": "Organization",
       "name": "Crustal Geophysics and Geochemistry Science Center",
       "url": "https://www.usgs.gov/centers/geology-energy-and-minerals-science-center"
     }
   ]
 },
 "OpenAlex": {
   "abstract_inverted_index": {
     "Identifying": [
       0
     ],
     "materials": [
       1,
       25,
       66,
       250
     ],
     "by": [
       2,
       212,
       217
     ],
     "measuring": [
       3
     ],
     "and": [
       4,
       20,
       37,
       64,
       82,
       122,
       135,
       145,
       183,
       245
     ],
     "analyzing": [
       5
     ],
     "their": [
       6
     ],
     "reflectance": [
       7,
       72
     ],
     "spectra": [
       8,
       134,
       137
     ],
     "has": [
       9,
       200
     ],
     "been": [
       10,
       202
     ],
     "an": [
       11,
       75
     ],
     "important": [
       12
     ],
     "procedure": [
       13
     ],
     "in": [
       14,
       74,
       96,
       131,
       163,
       188,
       209,
       223,
       251
     ],
     "analytical": [
       15
     ],
     "chemistry": [
       16
     ],
     "for": [
       17,
       42,
       98,
       243
     ],
     "decades.": [
       18
     ],
     "Airborne": [
       19
     ],
     "space-based": [
       21
     ],
     "imaging": [
       22,
       252
     ],
     "spectrometers": [
       23
     ],
     "allow": [
       24
     ],
     "to": [
       26,
       49,
       103,
       125,
       171,
       185,
       204,
       240
     ],
     "be": [
       27
     ],
     "mapped": [
       28
     ],
     "across": [
       29
     ],
     "the": [
       30,
       43,
       52,
       92,
       104,
       107,
       136,
       180,
       189,
       193,
       213,
       219,
       234,
       247
     ],
     "landscape.": [
       31
     ],
     "With": [
       32
     ],
     "many": [
       33
     ],
     "existing": [
       34
     ],
     "airborne": [
       35
     ],
     "sensors": [
       36,
       40
     ],
     "new": [
       38
     ],
     "satellite-borne": [
       39
     ],
     "planned": [
       41
     ],
     "future,": [
       44
     ],
     "robust": [
       45
     ],
     "methods": [
       46
     ],
     "are": [
       47,
       148
     ],
     "needed": [
       48
     ],
     "fully": [
       50
     ],
     "exploit": [
       51
     ],
     "information": [
       53
     ],
     "content": [
       54
     ],
     "of": [
       55,
       62,
       71,
       91,
       117,
       161,
       175,
       192,
       236,
       249
     ],
     "hyperspectral": [
       56
     ],
     "remote": [
       57,
       241
     ],
     "sensing": [
       58,
       242
     ],
     "data.": [
       59,
       254
     ],
     "A": [
       60
     ],
     "method": [
       61
     ],
     "identifying": [
       63,
       244
     ],
     "mapping": [
       65,
       246
     ],
     "using": [
       67
     ],
     "spectral": [
       68
     ],
     "feature": [
       69
     ],
     "analyses": [
       70
     ],
     "data": [
       73,
       197
     ],
     "expert-system": [
       76
     ],
     "framework": [
       77
     ],
     "called": [
       78
     ],
     "MICA": [
       79,
       87,
       118,
       153,
       199
     ],
     "(Material": [
       80
     ],
     "Identification": [
       81
     ],
     "Characterization": [
       83
     ],
     "Algorithm)": [
       84
     ],
     "is": [
       85,
       88
     ],
     "described.": [
       86
     ],
     "a": [
       89,
       151,
       166,
       173,
       237
     ],
     "module": [
       90
     ],
     "PRISM": [
       93
     ],
     "(Processing": [
       94
     ],
     "Routines": [
       95
     ],
     "IDL": [
       97
     ],
     "Spectroscopic": [
       99
     ],
     "Measurements)": [
       100
     ],
     "software,": [
       101
     ],
     "available": [
       102
     ],
     "public": [
       105
     ],
     "from": [
       106,
       226
     ],
     "U.S.": [
       108
     ],
     "Geological": [
       109
     ],
     "Survey": [
       110
     ],
     "(USGS)": [
       111
     ],
     "at": [
       112
     ],
     "http://pubs.usgs.gov/of/2011/1155/.": [
       113
     ],
     "The": [
       114,
       140
     ],
     "core": [
       115
     ],
     "concepts": [
       116
     ],
     "include": [
       119
     ],
     "continuum": [
       120
     ],
     "removal": [
       121
     ],
     "linear": [
       123
     ],
     "regression": [
       124
     ],
     "compare": [
       126
     ],
     "key": [
       127
     ],
     "diagnostic": [
       128,
       143
     ],
     "absorption": [
       129,
       221
     ],
     "features": [
       130,
       222
     ],
     "reference": [
       132,
       141
     ],
     "laboratory/field": [
       133
     ],
     "being": [
       138
     ],
     "analyzed.": [
       139
     ],
     "spectra,": [
       142
     ],
     "features,": [
       144
     ],
     "threshold": [
       146
     ],
     "constraints": [
       147
     ],
     "defined": [
       149
     ],
     "within": [
       150
     ],
     "user-developed": [
       152
     ],
     "command": [
       154
     ],
     "file": [
       155
     ],
     "(MCF).": [
       156
     ],
     "Building": [
       157
     ],
     "on": [
       158,
       179
     ],
     "several": [
       159
     ],
     "decades": [
       160
     ],
     "experience": [
       162
     ],
     "mineral": [
       164
     ],
     "mapping,": [
       165
     ],
     "broadly-applicable": [
       167
     ],
     "MCF": [
       168
     ],
     "was": [
       169
     ],
     "developed": [
       170
     ],
     "detect": [
       172,
       205
     ],
     "set": [
       174
     ],
     "minerals": [
       176,
       187
     ],
     "frequently": [
       177
     ],
     "occurring": [
       178
     ],
     "Earth's": [
       181
     ],
     "surface": [
       182
     ],
     "applied": [
       184,
       203
     ],
     "map": [
       186
     ],
     "country-wide": [
       190
     ],
     "coverage": [
       191
     ],
     "2007": [
       194
     ],
     "Afghanistan": [
       195
     ],
     "HyMap": [
       196
     ],
     "set.": [
       198
     ],
     "also": [
       201
     ],
     "sub-pixel": [
       206
     ],
     "oil": [
       207,
       224
     ],
     "contamination": [
       208
     ],
     "marshes": [
       210
     ],
     "impacted": [
       211
     ],
     "Deepwater": [
       214
     ],
     "Horizon": [
       215
     ],
     "incident": [
       216
     ],
     "discriminating": [
       218
     ],
     "C-H": [
       220
     ],
     "residues": [
       225
     ],
     "background": [
       227
     ],
     "vegetation.": [
       228
     ],
     "These": [
       229
     ],
     "two": [
       230
     ],
     "recent": [
       231
     ],
     "examples": [
       232
     ],
     "demonstrate": [
       233
     ],
     "utility": [
       235
     ],
     "spectroscopic": [
       238
     ],
     "approach": [
       239
     ],
     "distributions": [
       248
     ],
     "spectrometer": [
       253
     ]
   },
   "apc_list": null,
   "apc_paid": null,
   "authorships": [
     {
       "author_position": "first",
       "author": {
         "id": "https://openalex.org/A5059111916",
         "display_name": "Raymond F. Kokaly",
         "orcid": "https://orcid.org/0000-0003-0276-7101"
       },
       "institutions": [
         {
           "id": "https://openalex.org/I1286329397",
           "display_name": "United States Geological Survey",
           "ror": "https://ror.org/035a68863",
           "country_code": "US",
           "type": "government",
           "lineage": [
             "https://openalex.org/I1286329397",
             "https://openalex.org/I1335927249"
           ]
         }
       ],
       "countries": [
         "US"
       ],
       "is_corresponding": true,
       "raw_author_name": "Raymond F. Kokaly",
       "raw_affiliation_strings": [
         "U.S. Geological Survey, United States"
       ],
       "affiliations": [
         {
           "raw_affiliation_string": "U.S. Geological Survey, United States",
           "institution_ids": [
             "https://openalex.org/I1286329397"
           ]
         }
       ]
     }
   ],
   "best_oa_location": null,
   "biblio": {
     "volume": null,
     "issue": null,
     "first_page": null,
     "last_page": null
   },
   "citation_normalized_percentile": {
     "value": 0.920079,
     "is_in_top_1_percent": false,
     "is_in_top_10_percent": true
   },
   "cited_by_api_url": "https://api.openalex.org/works?filter=cites:W2045775866",
   "cited_by_count": 14,
   "cited_by_percentile_year": {
     "min": 87,
     "max": 88
   },
   "concepts": [
     {
       "id": "https://openalex.org/C159078339",
       "wikidata": "https://www.wikidata.org/wiki/Q959005",
       "display_name": "Hyperspectral imaging",
       "level": 2,
       "score": 0.8217231
     },
     {
       "id": "https://openalex.org/C62649853",
       "wikidata": "https://www.wikidata.org/wiki/Q199687",
       "display_name": "Remote sensing",
       "level": 1,
       "score": 0.73613095
     },
     {
       "id": "https://openalex.org/C41008148",
       "wikidata": "https://www.wikidata.org/wiki/Q21198",
       "display_name": "Computer science",
       "level": 0,
       "score": 0.58628994
     },
     {
       "id": "https://openalex.org/C176641082",
       "wikidata": "https://www.wikidata.org/wiki/Q2446767",
       "display_name": "Spectral signature",
       "level": 2,
       "score": 0.5771991
     },
     {
       "id": "https://openalex.org/C2780841128",
       "wikidata": "https://www.wikidata.org/wiki/Q5073781",
       "display_name": "Characterization (materials science)",
       "level": 2,
       "score": 0.5342967
     },
     {
       "id": "https://openalex.org/C2781038479",
       "wikidata": "https://www.wikidata.org/wiki/Q114675",
       "display_name": "Mica",
       "level": 2,
       "score": 0.5296763
     },
     {
       "id": "https://openalex.org/C116834253",
       "wikidata": "https://www.wikidata.org/wiki/Q2039217",
       "display_name": "Identification (biology)",
       "level": 2,
       "score": 0.45374307
     },
     {
       "id": "https://openalex.org/C183852935",
       "wikidata": "https://www.wikidata.org/wiki/Q6002848",
       "display_name": "Imaging spectrometer",
       "level": 3,
       "score": 0.42687005
     },
     {
       "id": "https://openalex.org/C39432304",
       "wikidata": "https://www.wikidata.org/wiki/Q188847",
       "display_name": "Environmental science",
       "level": 0,
       "score": 0.38461912
     },
     {
       "id": "https://openalex.org/C33390570",
       "wikidata": "https://www.wikidata.org/wiki/Q188463",
       "display_name": "Spectrometer",
       "level": 2,
       "score": 0.30850002
     },
     {
       "id": "https://openalex.org/C127313418",
       "wikidata": "https://www.wikidata.org/wiki/Q1069",
       "display_name": "Geology",
       "level": 0,
       "score": 0.3073747
     },
     {
       "id": "https://openalex.org/C120665830",
       "wikidata": "https://www.wikidata.org/wiki/Q14620",
       "display_name": "Optics",
       "level": 1,
       "score": 0.14478087
     },
     {
       "id": "https://openalex.org/C121332964",
       "wikidata": "https://www.wikidata.org/wiki/Q413",
       "display_name": "Physics",
       "level": 0,
       "score": 0.100263625
     },
     {
       "id": "https://openalex.org/C151730666",
       "wikidata": "https://www.wikidata.org/wiki/Q7205",
       "display_name": "Paleontology",
       "level": 1,
       "score": 0.0
     },
     {
       "id": "https://openalex.org/C59822182",
       "wikidata": "https://www.wikidata.org/wiki/Q441",
       "display_name": "Botany",
       "level": 1,
       "score": 0.0
     },
     {
       "id": "https://openalex.org/C86803240",
       "wikidata": "https://www.wikidata.org/wiki/Q420",
       "display_name": "Biology",
       "level": 0,
       "score": 0.0
     }
   ],
   "corresponding_author_ids": [
     "https://openalex.org/A5059111916"
   ],
   "corresponding_institution_ids": [
     "https://openalex.org/I1286329397"
   ],
   "countries_distinct_count": 1,
   "counts_by_year": [
     {
       "year": 2021,
       "cited_by_count": 1
     },
     {
       "year": 2020,
       "cited_by_count": 2
     },
     {
       "year": 2019,
       "cited_by_count": 1
     },
     {
       "year": 2018,
       "cited_by_count": 1
     },
     {
       "year": 2017,
       "cited_by_count": 1
     },
     {
       "year": 2016,
       "cited_by_count": 2
     },
     {
       "year": 2015,
       "cited_by_count": 1
     },
     {
       "year": 2014,
       "cited_by_count": 2
     },
     {
       "year": 2012,
       "cited_by_count": 1
     }
   ],
   "created_date": "2016-06-24",
   "datasets": [],
   "display_name": "Spectroscopic remote sensing for material identification, vegetation characterization, and mapping",
   "doi": "https://doi.org/10.1117/12.919121",
   "fulltext_origin": "ngrams",
   "fwci": 1.638,
   "grants": [],
   "has_fulltext": true,
   "id": "https://openalex.org/W2045775866",
   "ids": {
     "openalex": "https://openalex.org/W2045775866",
     "doi": "https://doi.org/10.1117/12.919121",
     "mag": "2045775866"
   },
   "indexed_in": [
     "crossref"
   ],
   "institutions_distinct_count": 1,
   "is_paratext": false,
   "is_retracted": false,
   "keywords": [
     {
       "id": "https://openalex.org/keywords/spectral-signature",
       "display_name": "Spectral signature",
       "score": 0.5771991
     },
     {
       "id": "https://openalex.org/keywords/characterization",
       "display_name": "Characterization (materials science)",
       "score": 0.5342967
     },
     {
       "id": "https://openalex.org/keywords/geological-mapping",
       "display_name": "Geological Mapping",
       "score": 0.518639
     },
     {
       "id": "https://openalex.org/keywords/hyperspectral-imaging",
       "display_name": "Hyperspectral Imaging",
       "score": 0.508448
     },
     {
       "id": "https://openalex.org/keywords/spectral-analysis",
       "display_name": "Spectral Analysis",
       "score": 0.506616
     },
     {
       "id": "https://openalex.org/keywords/fractal-modeling",
       "display_name": "Fractal Modeling",
       "score": 0.503853
     },
     {
       "id": "https://openalex.org/keywords/remote-sensing",
       "display_name": "Remote Sensing",
       "score": 0.502517
     },
     {
       "id": "https://openalex.org/keywords/identification",
       "display_name": "Identification (biology)",
       "score": 0.45374307
     },
     {
       "id": "https://openalex.org/keywords/imaging-spectrometer",
       "display_name": "Imaging spectrometer",
       "score": 0.42687005
     }
   ],
   "language": "en",
   "locations": [
     {
       "is_oa": false,
       "landing_page_url": "https://doi.org/10.1117/12.919121",
       "pdf_url": null,
       "source": {
         "id": "https://openalex.org/S183492911",
         "display_name": "Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE",
         "issn_l": "0277-786X",
         "issn": [
           "0277-786X",
           "1996-756X"
         ],
         "is_oa": false,
         "is_in_doaj": false,
         "is_core": true,
         "host_organization": "https://openalex.org/P4310315543",
         "host_organization_name": "SPIE",
         "host_organization_lineage": [
           "https://openalex.org/P4310315543"
         ],
         "host_organization_lineage_names": [
           "SPIE"
         ],
         "type": "journal"
       },
       "license": null,
       "license_id": null,
       "version": null,
       "is_accepted": false,
       "is_published": false
     }
   ],
   "locations_count": 1,
   "mesh": [],
   "ngrams_url": "https://api.openalex.org/works/W2045775866/ngrams",
   "open_access": {
     "is_oa": false,
     "oa_status": "closed",
     "oa_url": null,
     "any_repository_has_fulltext": false
   },
   "primary_location": {
     "is_oa": false,
     "landing_page_url": "https://doi.org/10.1117/12.919121",
     "pdf_url": null,
     "source": {
       "id": "https://openalex.org/S183492911",
       "display_name": "Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE",
       "issn_l": "0277-786X",
       "issn": [
         "0277-786X",
         "1996-756X"
       ],
       "is_oa": false,
       "is_in_doaj": false,
       "is_core": true,
       "host_organization": "https://openalex.org/P4310315543",
       "host_organization_name": "SPIE",
       "host_organization_lineage": [
         "https://openalex.org/P4310315543"
       ],
       "host_organization_lineage_names": [
         "SPIE"
       ],
       "type": "journal"
     },
     "license": null,
     "license_id": null,
     "version": null,
     "is_accepted": false,
     "is_published": false
   },
   "primary_topic": {
     "id": "https://openalex.org/T12157",
     "display_name": "Machine Learning for Mineral Prospectivity Mapping",
     "score": 0.9985,
     "subfield": {
       "id": "https://openalex.org/subfields/1702",
       "display_name": "Artificial Intelligence"
     },
     "field": {
       "id": "https://openalex.org/fields/17",
       "display_name": "Computer Science"
     },
     "domain": {
       "id": "https://openalex.org/domains/3",
       "display_name": "Physical Sciences"
     }
   },
   "publication_date": "2012-05-01",
   "publication_year": 2012,
   "referenced_works": [],
   "referenced_works_count": 0,
   "related_works": [
     "https://openalex.org/W3197418586",
     "https://openalex.org/W3109000664",
     "https://openalex.org/W3000675426",
     "https://openalex.org/W2799746630",
     "https://openalex.org/W2746742660",
     "https://openalex.org/W2738168532",
     "https://openalex.org/W2561005839",
     "https://openalex.org/W2082586825",
     "https://openalex.org/W2019335219",
     "https://openalex.org/W1610874655"
   ],
   "sustainable_development_goals": [
     {
       "score": 0.46,
       "display_name": "Peace, justice, and strong institutions",
       "id": "https://metadata.un.org/sdg/16"
     }
   ],
   "title": "Spectroscopic remote sensing for material identification, vegetation characterization, and mapping",
   "topics": [
     {
       "id": "https://openalex.org/T12157",
       "display_name": "Machine Learning for Mineral Prospectivity Mapping",
       "score": 0.9985,
       "subfield": {
         "id": "https://openalex.org/subfields/1702",
         "display_name": "Artificial Intelligence"
       },
       "field": {
         "id": "https://openalex.org/fields/17",
         "display_name": "Computer Science"
       },
       "domain": {
         "id": "https://openalex.org/domains/3",
         "display_name": "Physical Sciences"
       }
     },
     {
       "id": "https://openalex.org/T10640",
       "display_name": "Chemometrics in Analytical Chemistry and Food Technology",
       "score": 0.9931,
       "subfield": {
         "id": "https://openalex.org/subfields/1602",
         "display_name": "Analytical Chemistry"
       },
       "field": {
         "id": "https://openalex.org/fields/16",
         "display_name": "Chemistry"
       },
       "domain": {
         "id": "https://openalex.org/domains/3",
         "display_name": "Physical Sciences"
       }
     },
     {
       "id": "https://openalex.org/T12282",
       "display_name": "Comminution in Mineral Processing",
       "score": 0.963,
       "subfield": {
         "id": "https://openalex.org/subfields/2210",
         "display_name": "Mechanical Engineering"
       },
       "field": {
         "id": "https://openalex.org/fields/22",
         "display_name": "Engineering"
       },
       "domain": {
         "id": "https://openalex.org/domains/3",
         "display_name": "Physical Sciences"
       }
     }
   ],
   "type": "article",
   "type_crossref": "proceedings-article",
   "updated_date": "2024-08-15T01:34:01.109846",
   "versions": []
 }

}