Item talk:Q303700

From geokb
Revision as of 18:04, 22 August 2024 by Sky (talk | contribs) (Created page with "{ "USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "CreativeWork", "additionalType": "Book Chapter", "name": "Characteristics of tropical tree species in hyperspectral and multispectral data", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70202343", "url": "https://pubs.usgs.gov/publication/70202343" }, {...")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)

{

 "USGS Publications Warehouse": {
   "@context": "https://schema.org",
   "@type": "CreativeWork",
   "additionalType": "Book Chapter",
   "name": "Characteristics of tropical tree species in hyperspectral and multispectral data",
   "identifier": [
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse IndexID",
       "value": "70202343",
       "url": "https://pubs.usgs.gov/publication/70202343"
     },
     {
       "@type": "PropertyValue",
       "propertyID": "USGS Publications Warehouse Internal ID",
       "value": 70202343
     },
     {
       "@type": "PropertyValue",
       "propertyID": "DOI",
       "value": "10.1201/9780429431180-8",
       "url": "https://doi.org/10.1201/9780429431180-8"
     }
   ],
   "inLanguage": "en",
   "datePublished": "2018",
   "dateModified": "2020-11-05",
   "abstract": "Remote sensing has been hailed as a promising technology to provide spatially explicit information on tree species distribution. Such information is of high value for ecologists and forest managers, particularly in tropical environments in which it is acquired by costly field inventories performed at the plot level (\u223c1 ha). Over the last decade, hyperspectral sensors, usually on board airborne platforms, have been successfully employed for tropical tree species classification. Most of the studies focused on the improvement of the classification accuracy, without examining the sources of variability in canopy reflectance that contribute to discriminate among species. Trees of different species usually feature distinct crown structural and chemical characteristics defined by size, shape, leaf density, branching, pigment and nonpigment biochemical constituents, among others. Understanding the role of these characteristics on tree species discrimination is important to improve and optimize the use of hyperspectral data. Here, we show how spectral characteristics of tree species, from highly diverse tropical forests, are related to their chemical and structural properties. These spectral characteristics were retrieved by spectral mixture and feature analysis, using narrow-band data acquired in the optical domain (450\u20132400 nm). Finally, we assessed how the spectral resolution affects the classification accuracy and spectral separability.",
   "description": "21 p.",
   "publisher": {
     "@type": "Organization",
     "name": "CRC Press"
   },
   "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": "Central Mineral and Environmental Resources Science Center",
           "url": "https://www.usgs.gov/centers/gggsc"
         },
         {
           "@type": "Organization",
           "name": "Crustal Geophysics and Geochemistry Science Center",
           "url": "https://www.usgs.gov/centers/geology-energy-and-minerals-science-center"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Pinheiro Ferreira, Matheus",
       "givenName": "Matheus",
       "familyName": "Pinheiro Ferreira",
       "affiliation": [
         {
           "@type": "Organization",
           "name": "National Institute for Space Research, Brazil"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Hummel do Amaral, Cibele",
       "givenName": "Cibele",
       "familyName": "Hummel do Amaral",
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Universidade Federal de Vi\u00e7osa (UFV), Brazil"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Vaglio Laurin, Gaia",
       "givenName": "Gaia",
       "familyName": "Vaglio Laurin",
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Tuscia University, Italy"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Roberto de Souza Filho, Carlos",
       "givenName": "Carlos",
       "familyName": "Roberto de Souza Filho",
       "affiliation": [
         {
           "@type": "Organization",
           "name": "University of Campinas, Brazil"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Edemir Shimabukuro, Yosio",
       "givenName": "Yosio",
       "familyName": "Edemir Shimabukuro",
       "affiliation": [
         {
           "@type": "Organization",
           "name": "National Institute for Space Research, Brazil"
         }
       ]
     }
   ],
   "editor": [
     {
       "@type": "Person",
       "name": "Thenkabail, Prasad S. pthenkabail@usgs.gov",
       "givenName": "Prasad S.",
       "familyName": "Thenkabail",
       "email": "pthenkabail@usgs.gov",
       "identifier": {
         "@type": "PropertyValue",
         "propertyID": "ORCID",
         "value": "0000-0002-2182-8822",
         "url": "https://orcid.org/0000-0002-2182-8822"
       },
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Western Geographic Science Center",
           "url": "https://www.usgs.gov/centers/western-geographic-science-center"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Lyons, John J. jlyons@usgs.gov",
       "givenName": "John J.",
       "familyName": "Lyons",
       "email": "jlyons@usgs.gov",
       "identifier": {
         "@type": "PropertyValue",
         "propertyID": "ORCID",
         "value": "0000-0001-5409-1698",
         "url": "https://orcid.org/0000-0001-5409-1698"
       },
       "affiliation": [
         {
           "@type": "Organization",
           "name": "Volcano Hazards Program",
           "url": "https://www.usgs.gov/programs/VHP"
         },
         {
           "@type": "Organization",
           "name": "Volcano Science Center",
           "url": "https://www.usgs.gov/centers/volcano-science-center"
         }
       ]
     },
     {
       "@type": "Person",
       "name": "Huete, Alfredo",
       "givenName": "Alfredo",
       "familyName": "Huete",
       "identifier": {
         "@type": "PropertyValue",
         "propertyID": "ORCID",
         "value": "0000-0003-2809-2376",
         "url": "https://orcid.org/0000-0003-2809-2376"
       }
     }
   ],
   "funder": [
     {
       "@type": "Organization",
       "name": "Central Mineral and Environmental Resources Science Center",
       "url": "https://www.usgs.gov/centers/gggsc"
     }
   ]
 },
 "OpenAlex": {
   "_id": "https://openalex.org/w2941481719",
   "abstract_inverted_index": {
     "Remote": [
       0
     ],
     "sensing": [
       1
     ],
     "has": [
       2
     ],
     "been": [
       3,
       61
     ],
     "hailed": [
       4
     ],
     "as": [
       5
     ],
     "a": [
       6
     ],
     "promising": [
       7
     ],
     "technology": [
       8
     ],
     "to": [
       9,
       92,
       134,
       159
     ],
     "provide": [
       10
     ],
     "spatially": [
       11
     ],
     "explicit": [
       12
     ],
     "information": [
       13,
       19
     ],
     "on": [
       14,
       56,
       74,
       128
     ],
     "tree": [
       15,
       66,
       129,
       150
     ],
     "species": [
       16,
       67,
       99,
       130
     ],
     "distribution.": [
       17
     ],
     "Such": [
       18
     ],
     "is": [
       20,
       36,
       132
     ],
     "of": [
       21,
       70,
       77,
       85,
       97,
       125,
       140,
       149
     ],
     "high": [
       22
     ],
     "value": [
       23
     ],
     "for": [
       24,
       64
     ],
     "ecologists": [
       25
     ],
     "and": [
       26,
       105,
       116,
       136,
       162,
       173,
       197
     ],
     "forest": [
       27
     ],
     "managers,": [
       28
     ],
     "particularly": [
       29
     ],
     "in": [
       30,
       33,
       87,
       180
     ],
     "tropical": [
       31,
       65,
       155
     ],
     "environments": [
       32
     ],
     "which": [
       34
     ],
     "it": [
       35
     ],
     "acquired": [
       37,
       179
     ],
     "by": [
       38,
       109,
       170
     ],
     "costly": [
       39
     ],
     "field": [
       40
     ],
     "inventories": [
       41
     ],
     "performed": [
       42
     ],
     "at": [
       43
     ],
     "the": [
       44,
       50,
       71,
       75,
       78,
       83,
       123,
       138,
       181,
       190,
       194
     ],
     "plot": [
       45
     ],
     "level": [
       46
     ],
     "(\u223c1": [
       47
     ],
     "ha).": [
       48
     ],
     "Over": [
       49
     ],
     "last": [
       51
     ],
     "decade,": [
       52
     ],
     "hyperspectral": [
       53,
       141
     ],
     "sensors,": [
       54
     ],
     "usually": [
       55,
       100
     ],
     "board": [
       57
     ],
     "airborne": [
       58
     ],
     "platforms,": [
       59
     ],
     "have": [
       60
     ],
     "successfully": [
       62
     ],
     "employed": [
       63
     ],
     "classification.": [
       68
     ],
     "Most": [
       69
     ],
     "studies": [
       72
     ],
     "focused": [
       73
     ],
     "improvement": [
       76
     ],
     "classification": [
       79,
       195
     ],
     "accuracy,": [
       80
     ],
     "without": [
       81
     ],
     "examining": [
       82
     ],
     "sources": [
       84
     ],
     "variability": [
       86
     ],
     "canopy": [
       88
     ],
     "reflectance": [
       89
     ],
     "that": [
       90
     ],
     "contribute": [
       91
     ],
     "discriminate": [
       93
     ],
     "among": [
       94,
       120
     ],
     "species.": [
       95
     ],
     "Trees": [
       96
     ],
     "different": [
       98
     ],
     "feature": [
       101,
       174
     ],
     "distinct": [
       102
     ],
     "crown": [
       103
     ],
     "structural": [
       104,
       163
     ],
     "chemical": [
       106,
       161
     ],
     "characteristics": [
       107,
       127,
       148,
       167
     ],
     "defined": [
       108
     ],
     "size,": [
       110
     ],
     "shape,": [
       111
     ],
     "leaf": [
       112
     ],
     "density,": [
       113
     ],
     "branching,": [
       114
     ],
     "pigment": [
       115
     ],
     "nonpigment": [
       117
     ],
     "biochemical": [
       118
     ],
     "constituents,": [
       119
     ],
     "others.": [
       121
     ],
     "Understanding": [
       122
     ],
     "role": [
       124
     ],
     "these": [
       126
     ],
     "discrimination": [
       131
     ],
     "important": [
       133
     ],
     "improve": [
       135
     ],
     "optimize": [
       137
     ],
     "use": [
       139
     ],
     "data.": [
       142
     ],
     "Here,": [
       143
     ],
     "we": [
       144,
       187
     ],
     "show": [
       145
     ],
     "how": [
       146,
       189
     ],
     "spectral": [
       147,
       166,
       171,
       191,
       198
     ],
     "species,": [
       151
     ],
     "from": [
       152
     ],
     "highly": [
       153
     ],
     "diverse": [
       154
     ],
     "forests,": [
       156
     ],
     "are": [
       157
     ],
     "related": [
       158
     ],
     "their": [
       160
     ],
     "properties.": [
       164
     ],
     "These": [
       165
     ],
     "were": [
       168
     ],
     "retrieved": [
       169
     ],
     "mixture": [
       172
     ],
     "analysis,": [
       175
     ],
     "using": [
       176
     ],
     "narrow-band": [
       177
     ],
     "data": [
       178
     ],
     "optical": [
       182
     ],
     "domain": [
       183
     ],
     "(450\u20132400": [
       184
     ],
     "nm).": [
       185
     ],
     "Finally,": [
       186
     ],
     "assessed": [
       188
     ],
     "resolution": [
       192
     ],
     "affects": [
       193
     ],
     "accuracy": [
       196
     ],
     "separability.": [
       199
     ]
   },
   "apc_list": null,
   "apc_paid": null,
   "authorships": [
     {
       "author_position": "first",
       "author": {
         "id": "https://openalex.org/A5018593225",
         "display_name": "Matheus Pinheiro Ferreira",
         "orcid": "https://orcid.org/0000-0003-0687-4422"
       },
       "institutions": [],
       "countries": [],
       "is_corresponding": false,
       "raw_author_name": "Matheus Pinheiro Ferreira",
       "raw_affiliation_strings": [],
       "affiliations": []
     },
     {
       "author_position": "middle",
       "author": {
         "id": "https://openalex.org/A5045065046",
         "display_name": "Cibele Hummel do Amaral",
         "orcid": "https://orcid.org/0000-0001-7597-2427"
       },
       "institutions": [],
       "countries": [],
       "is_corresponding": false,
       "raw_author_name": "Cibele Hummel do Amaral",
       "raw_affiliation_strings": [],
       "affiliations": []
     },
     {
       "author_position": "middle",
       "author": {
         "id": "https://openalex.org/A5033180928",
         "display_name": "Gaia Vaglio Laurin",
         "orcid": "https://orcid.org/0000-0002-6728-3557"
       },
       "institutions": [],
       "countries": [],
       "is_corresponding": false,
       "raw_author_name": "Gaia Vaglio Laurin",
       "raw_affiliation_strings": [],
       "affiliations": []
     },
     {
       "author_position": "middle",
       "author": {
         "id": "https://openalex.org/A5059111916",
         "display_name": "Raymond F. Kokaly",
         "orcid": "https://orcid.org/0000-0003-0276-7101"
       },
       "institutions": [],
       "countries": [],
       "is_corresponding": false,
       "raw_author_name": "Raymond Kokaly",
       "raw_affiliation_strings": [],
       "affiliations": []
     },
     {
       "author_position": "middle",
       "author": {
         "id": "https://openalex.org/A5064671739",
         "display_name": "Carlos Roberto de Souza Filho",
         "orcid": "https://orcid.org/0000-0001-5366-3439"
       },
       "institutions": [],
       "countries": [],
       "is_corresponding": false,
       "raw_author_name": "Carlos Roberto de Souza Filho",
       "raw_affiliation_strings": [],
       "affiliations": []
     },
     {
       "author_position": "last",
       "author": {
         "id": "https://openalex.org/A5004335574",
         "display_name": "Yosio Edemir Shimabukuro",
         "orcid": "https://orcid.org/0000-0002-1469-8433"
       },
       "institutions": [],
       "countries": [],
       "is_corresponding": false,
       "raw_author_name": "Yosio Edemir Shimabukuro",
       "raw_affiliation_strings": [],
       "affiliations": []
     }
   ],
   "best_oa_location": null,
   "biblio": {
     "volume": null,
     "issue": null,
     "first_page": "233",
     "last_page": "253"
   },
   "citation_normalized_percentile": null,
   "cited_by_api_url": "https://api.openalex.org/works?filter=cites:W2941481719",
   "cited_by_count": 0,
   "cited_by_percentile_year": {
     "min": 0,
     "max": 64
   },
   "concepts": [
     {
       "id": "https://openalex.org/C159078339",
       "wikidata": "https://www.wikidata.org/wiki/Q959005",
       "display_name": "Hyperspectral imaging",
       "level": 2,
       "score": 0.8110332
     },
     {
       "id": "https://openalex.org/C173163844",
       "wikidata": "https://www.wikidata.org/wiki/Q1761440",
       "display_name": "Multispectral image",
       "level": 2,
       "score": 0.7950407
     },
     {
       "id": "https://openalex.org/C113174947",
       "wikidata": "https://www.wikidata.org/wiki/Q2859736",
       "display_name": "Tree (set theory)",
       "level": 2,
       "score": 0.58085316
     },
     {
       "id": "https://openalex.org/C205649164",
       "wikidata": "https://www.wikidata.org/wiki/Q1071",
       "display_name": "Geography",
       "level": 0,
       "score": 0.53127825
     },
     {
       "id": "https://openalex.org/C62649853",
       "wikidata": "https://www.wikidata.org/wiki/Q199687",
       "display_name": "Remote sensing",
       "level": 1,
       "score": 0.50080323
     },
     {
       "id": "https://openalex.org/C39432304",
       "wikidata": "https://www.wikidata.org/wiki/Q188847",
       "display_name": "Environmental science",
       "level": 0,
       "score": 0.36413848
     },
     {
       "id": "https://openalex.org/C97137747",
       "wikidata": "https://www.wikidata.org/wiki/Q38112",
       "display_name": "Forestry",
       "level": 1,
       "score": 0.3359778
     },
     {
       "id": "https://openalex.org/C33923547",
       "wikidata": "https://www.wikidata.org/wiki/Q395",
       "display_name": "Mathematics",
       "level": 0,
       "score": 0.22728217
     },
     {
       "id": "https://openalex.org/C114614502",
       "wikidata": "https://www.wikidata.org/wiki/Q76592",
       "display_name": "Combinatorics",
       "level": 1,
       "score": 0.03840801
     }
   ],
   "corresponding_author_ids": [],
   "corresponding_institution_ids": [],
   "countries_distinct_count": 0,
   "counts_by_year": [],
   "created_date": "2019-05-03",
   "datasets": [],
   "display_name": "Characteristics of Tropical Tree Species in Hyperspectral and Multispectral Data",
   "doi": "https://doi.org/10.1201/9780429431180-8",
   "fwci": 0.0,
   "grants": [],
   "has_fulltext": false,
   "id": "https://openalex.org/W2941481719",
   "ids": {
     "openalex": "https://openalex.org/W2941481719",
     "doi": "https://doi.org/10.1201/9780429431180-8",
     "mag": "2941481719"
   },
   "indexed_in": [
     "crossref"
   ],
   "institutions_distinct_count": 0,
   "is_paratext": false,
   "is_retracted": false,
   "keywords": [
     {
       "id": "https://openalex.org/keywords/tree",
       "display_name": "Tree (set theory)",
       "score": 0.58085316
     },
     {
       "id": "https://openalex.org/keywords/species-distribution-modeling",
       "display_name": "Species Distribution Modeling",
       "score": 0.519257
     }
   ],
   "language": "en",
   "locations": [
     {
       "is_oa": false,
       "landing_page_url": "https://doi.org/10.1201/9780429431180-8",
       "pdf_url": null,
       "source": {
         "id": "https://openalex.org/S4306463075",
         "display_name": "CRC Press eBooks",
         "issn_l": null,
         "issn": null,
         "is_oa": false,
         "is_in_doaj": false,
         "is_core": false,
         "host_organization": "https://openalex.org/P4310320449",
         "host_organization_name": "Informa",
         "host_organization_lineage": [
           "https://openalex.org/P4310320449"
         ],
         "host_organization_lineage_names": [
           "Informa"
         ],
         "type": "ebook platform"
       },
       "license": null,
       "license_id": null,
       "version": null,
       "is_accepted": false,
       "is_published": false
     }
   ],
   "locations_count": 1,
   "mesh": [],
   "ngrams_url": "https://api.openalex.org/works/W2941481719/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/10.1201/9780429431180-8",
     "pdf_url": null,
     "source": {
       "id": "https://openalex.org/S4306463075",
       "display_name": "CRC Press eBooks",
       "issn_l": null,
       "issn": null,
       "is_oa": false,
       "is_in_doaj": false,
       "is_core": false,
       "host_organization": "https://openalex.org/P4310320449",
       "host_organization_name": "Informa",
       "host_organization_lineage": [
         "https://openalex.org/P4310320449"
       ],
       "host_organization_lineage_names": [
         "Informa"
       ],
       "type": "ebook platform"
     },
     "license": null,
     "license_id": null,
     "version": null,
     "is_accepted": false,
     "is_published": false
   },
   "primary_topic": {
     "id": "https://openalex.org/T10111",
     "display_name": "Remote Sensing in Vegetation Monitoring and Phenology",
     "score": 0.9888,
     "subfield": {
       "id": "https://openalex.org/subfields/2303",
       "display_name": "Ecology"
     },
     "field": {
       "id": "https://openalex.org/fields/23",
       "display_name": "Environmental Science"
     },
     "domain": {
       "id": "https://openalex.org/domains/3",
       "display_name": "Physical Sciences"
     }
   },
   "publication_date": "2018-12-07",
   "publication_year": 2018,
   "referenced_works": [],
   "referenced_works_count": 0,
   "related_works": [
     "https://openalex.org/W4250051149",
     "https://openalex.org/W3209970181",
     "https://openalex.org/W2988577871",
     "https://openalex.org/W2385371209",
     "https://openalex.org/W2139294397",
     "https://openalex.org/W2083270190",
     "https://openalex.org/W2072166414",
     "https://openalex.org/W2022304901",
     "https://openalex.org/W2018850895",
     "https://openalex.org/W1987483041"
   ],
   "sustainable_development_goals": [
     {
       "score": 0.57,
       "id": "https://metadata.un.org/sdg/10",
       "display_name": "Reduced inequalities"
     }
   ],
   "title": "Characteristics of Tropical Tree Species in Hyperspectral and Multispectral Data",
   "topics": [
     {
       "id": "https://openalex.org/T10111",
       "display_name": "Remote Sensing in Vegetation Monitoring and Phenology",
       "score": 0.9888,
       "subfield": {
         "id": "https://openalex.org/subfields/2303",
         "display_name": "Ecology"
       },
       "field": {
         "id": "https://openalex.org/fields/23",
         "display_name": "Environmental Science"
       },
       "domain": {
         "id": "https://openalex.org/domains/3",
         "display_name": "Physical Sciences"
       }
     },
     {
       "id": "https://openalex.org/T10895",
       "display_name": "Species Distribution Modeling and Climate Change Impacts",
       "score": 0.9859,
       "subfield": {
         "id": "https://openalex.org/subfields/2302",
         "display_name": "Ecological Modeling"
       },
       "field": {
         "id": "https://openalex.org/fields/23",
         "display_name": "Environmental Science"
       },
       "domain": {
         "id": "https://openalex.org/domains/3",
         "display_name": "Physical Sciences"
       }
     },
     {
       "id": "https://openalex.org/T14365",
       "display_name": "Non-destructive Leaf Area Estimation Methods",
       "score": 0.9254,
       "subfield": {
         "id": "https://openalex.org/subfields/1110",
         "display_name": "Plant Science"
       },
       "field": {
         "id": "https://openalex.org/fields/11",
         "display_name": "Agricultural and Biological Sciences"
       },
       "domain": {
         "id": "https://openalex.org/domains/1",
         "display_name": "Life Sciences"
       }
     }
   ],
   "type": "book-chapter",
   "type_crossref": "book-chapter",
   "updated_date": "2024-08-12T06:29:54.954765",
   "versions": []
 }

}