Item talk:Q273143
From geokb
{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "National Land Cover Database 2019: A new strategy for creating clean leaf-on and leaf-off Landsat composite images", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70241048", "url": "https://pubs.usgs.gov/publication/70241048" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70241048 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.34133/remotesensing.0022", "url": "https://doi.org/10.34133/remotesensing.0022" } ], "journal": { "@type": "Periodical", "name": "ISPRS Journal of Photogrammetry and Remote Sensing", "volumeNumber": "3", "issueNumber": null }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "ISPRS Journal of Photogrammetry and Remote Sensing" } ], "datePublished": "2023", "dateModified": "2023-11-08", "abstract": "National Land Cover Database (NLCD) 2019 is a new epoch of national land cover products for the conterminous United States. Image quality is fundamental to the quality of any land cover product. Image preprocessing has often taken a considerable proportion of overall time and effort for this kind of national project. An approach to prepare image inputs for NLCD 2019 production was developed to ensure efficiency and quality of operational production. Here, we introduce a new and comprehensive strategy to produce clear Landsat composite images for NLCD 2019 production. First, we developed a new median-value compositing method. Second, we designed parameter settings for selecting images and pixels to generate 4 composite images (leaf-on, leaf-off, primary reference, and complementary reference) for a target year based on the US Landsat Analysis Ready Data surface reflectance dataset. Third, we developed a method, referred to as Detection and Filling with Simulated Image, to detect and replace clouds and cloud shadow pixels to produce the final clean leaf-on and leaf-off image composites. This image compositing and processing strategy was implemented for the entire conterminous United States to produce images for NLCD 2019. Our image results and NLCD 2019 change detection and land cover products, which were released in July 2021, showed this new strategy to be effective and efficient.", "description": "0022, 13 p.", "publisher": { "@type": "Organization", "name": "AAAS" }, "author": [ { "@type": "Person", "name": "Jin, Suming sjin@usgs.gov", "givenName": "Suming", "familyName": "Jin", "email": "sjin@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0001-9919-8077", "url": "https://orcid.org/0000-0001-9919-8077" }, "affiliation": [ { "@type": "Organization", "name": "Earth Resources Observation and Science (EROS) Center", "url": "https://www.usgs.gov/centers/eros" }, { "@type": "Organization", "name": "Earth Resources Observation and Science (EROS) Center (Geography)", "url": "https://www.usgs.gov/centers/eros" } ] }, { "@type": "Person", "name": "Dewitz, Jon", "givenName": "Jon", "familyName": "Dewitz", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-0458-212X", "url": "https://orcid.org/0000-0002-0458-212X" }, "affiliation": [ { "@type": "Organization", "name": "Earth Resources Observation and Science (EROS) Center", "url": "https://www.usgs.gov/centers/eros" } ] }, { "@type": "Person", "name": "Danielson, Patrick", "givenName": "Patrick", "familyName": "Danielson", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-2990-2783", "url": "https://orcid.org/0000-0002-2990-2783" }, "affiliation": [ { "@type": "Organization", "name": "KBR, contractor to the USGS EROS" } ] }, { "@type": "Person", "name": "Granneman, Brian", "givenName": "Brian", "familyName": "Granneman", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-1910-0955", "url": "https://orcid.org/0000-0002-1910-0955" }, "affiliation": [ { "@type": "Organization", "name": "KBR, contractor to the USGS EROS" } ] }, { "@type": "Person", "name": "Costello, Catherine", "givenName": "Catherine", "familyName": "Costello", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0001-7158-2675", "url": "https://orcid.org/0000-0001-7158-2675" }, "affiliation": [ { "@type": "Organization", "name": "Rocky Mountain Geographic Science Center", "url": "https://www.usgs.gov/programs/national-geospatial-program" } ] }, { "@type": "Person", "name": "Zhu, Zhe", "givenName": "Zhe", "familyName": "Zhu", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0001-8283-6407", "url": "https://orcid.org/0000-0001-8283-6407" } } ], "funder": [ { "@type": "Organization", "name": "Earth Resources Observation and Science (EROS) Center", "url": "https://www.usgs.gov/centers/eros" }, { "@type": "Organization", "name": "Advanced Research Computing (ARC)", "url": "https://www.usgs.gov/ecosystems/land-change-science-program" } ] }, "OpenAlex": { "_id": "https://openalex.org/w4315644148", "abstract_inverted_index": { "National": [ 0 ], "Land": [ 1 ], "Cover": [ 2 ], "Database": [ 3 ], "(NLCD)": [ 4 ], "2019": [ 5, 59, 87, 192 ], "is": [ 6, 22 ], "a": [ 7, 37, 74, 92, 120, 137 ], "new": [ 8, 75, 93, 207 ], "epoch": [ 9 ], "of": [ 10, 27, 40, 48, 68 ], "national": [ 11, 49 ], "land": [ 12, 29, 196 ], "cover": [ 13, 30, 197 ], "products": [ 14 ], "for": [ 15, 45, 57, 85, 102, 119, 175, 184 ], "the": [ 16, 25, 125, 159, 176 ], "conterminous": [ 17, 178 ], "United": [ 18, 179 ], "States.": [ 19 ], "Image": [ 20, 32 ], "quality": [ 21, 26, 67 ], "fundamental": [ 23 ], "to": [ 24, 53, 63, 79, 107, 140, 148, 157, 181, 209 ], "any": [ 28 ], "product.": [ 31 ], "preprocessing": [ 33 ], "has": [ 34 ], "often": [ 35 ], "taken": [ 36 ], "considerable": [ 38 ], "proportion": [ 39 ], "overall": [ 41 ], "time": [ 42 ], "and": [ 43, 66, 76, 105, 116, 143, 150, 153, 163, 170, 190, 195, 212 ], "effort": [ 44 ], "this": [ 46, 206 ], "kind": [ 47 ], "project.": [ 50 ], "An": [ 51 ], "approach": [ 52 ], "prepare": [ 54 ], "image": [ 55, 165, 168, 188 ], "inputs": [ 56 ], "NLCD": [ 58, 86, 185, 191 ], "production": [ 60 ], "was": [ 61, 173 ], "developed": [ 62, 91, 136 ], "ensure": [ 64 ], "efficiency": [ 65 ], "operational": [ 69 ], "production.": [ 70, 88 ], "Here,": [ 71 ], "we": [ 72, 90, 98, 135 ], "introduce": [ 73 ], "comprehensive": [ 77 ], "strategy": [ 78, 172, 208 ], "produce": [ 80, 158, 182 ], "clear": [ 81 ], "Landsat": [ 82, 127 ], "composite": [ 83, 110 ], "images": [ 84, 104, 111, 183 ], "First,": [ 89 ], "median-value": [ 94 ], "compositing": [ 95, 169 ], "method.": [ 96 ], "Second,": [ 97 ], "designed": [ 99 ], "parameter": [ 100 ], "settings": [ 101 ], "selecting": [ 103 ], "pixels": [ 106, 156 ], "generate": [ 108 ], "4": [ 109 ], "(leaf-on,": [ 112 ], "leaf-off,": [ 113 ], "primary": [ 114 ], "reference,": [ 115 ], "complementary": [ 117 ], "reference)": [ 118 ], "target": [ 121 ], "year": [ 122 ], "based": [ 123 ], "on": [ 124 ], "US": [ 126 ], "Analysis": [ 128 ], "Ready": [ 129 ], "Data": [ 130 ], "surface": [ 131 ], "reflectance": [ 132 ], "dataset.": [ 133 ], "Third,": [ 134 ], "method,": [ 138 ], "referred": [ 139 ], "as": [ 141 ], "Detection": [ 142 ], "Filling": [ 144 ], "with": [ 145 ], "Simulated": [ 146 ], "Image,": [ 147 ], "detect": [ 149 ], "replace": [ 151 ], "clouds": [ 152 ], "cloud": [ 154 ], "shadow": [ 155 ], "final": [ 160 ], "clean": [ 161 ], "leaf-on": [ 162 ], "leaf-off": [ 164 ], "composites.": [ 166 ], "This": [ 167 ], "processing": [ 171 ], "implemented": [ 174 ], "entire": [ 177 ], "States": [ 180 ], "2019.": [ 186 ], "Our": [ 187 ], "results": [ 189 ], "change": [ 193 ], "detection": [ 194 ], "products,": [ 198 ], "which": [ 199 ], "were": [ 200 ], "released": [ 201 ], "in": [ 202 ], "July": [ 203 ], "2021,": [ 204 ], "showed": [ 205 ], "be": [ 210 ], "effective": [ 211 ], "efficient.": [ 213 ] }, "apc_list": { "value": 0, "currency": "USD", "value_usd": 0, "provenance": "doaj" }, "apc_paid": null, "authorships": [ { "author_position": "first", "author": { "id": "https://openalex.org/A5091276881", "display_name": "Suming Jin", "orcid": "https://orcid.org/0000-0002-1643-2735" }, "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": "Suming Jin", "raw_affiliation_strings": [ "US Geological Survey Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD 57198, USA." ], "affiliations": [ { "raw_affiliation_string": "US Geological Survey Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD 57198, USA.", "institution_ids": [ "https://openalex.org/I1286329397" ] } ] }, { "author_position": "middle", "author": { "id": "https://openalex.org/A5090374003", "display_name": "Jon Dewitz", "orcid": "https://orcid.org/0000-0002-0458-212X" }, "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": false, "raw_author_name": "Jon Dewitz", "raw_affiliation_strings": [ "US Geological Survey Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD 57198, USA." ], "affiliations": [ { "raw_affiliation_string": "US Geological Survey Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD 57198, USA.", "institution_ids": [ "https://openalex.org/I1286329397" ] } ] }, { "author_position": "middle", "author": { "id": "https://openalex.org/A5089587857", "display_name": "Patrick Danielson", "orcid": "https://orcid.org/0000-0002-2990-2783" }, "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": false, "raw_author_name": "Patrick Danielson", "raw_affiliation_strings": [ "KBR, Contractor to the US Geological Survey Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD 57198, USA." ], "affiliations": [ { "raw_affiliation_string": "KBR, Contractor to the US Geological Survey Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD 57198, USA.", "institution_ids": [ "https://openalex.org/I1286329397" ] } ] }, { "author_position": "middle", "author": { "id": "https://openalex.org/A5002965556", "display_name": "Brian Granneman", "orcid": "https://orcid.org/0000-0002-1910-0955" }, "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": false, "raw_author_name": "Brian Granneman", "raw_affiliation_strings": [ "KBR, Contractor to the US Geological Survey Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD 57198, USA." ], "affiliations": [ { "raw_affiliation_string": "KBR, Contractor to the US Geological Survey Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD 57198, USA.", "institution_ids": [ "https://openalex.org/I1286329397" ] } ] }, { "author_position": "middle", "author": { "id": "https://openalex.org/A5088018583", "display_name": "Catherine Costello", "orcid": null }, "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": false, "raw_author_name": "Catherine Costello", "raw_affiliation_strings": [ "US Geoloegical Survey, Geosciences and Environmental Change Science Center, PO Box 25046, DFC, MS 980, Denver, CO 80225, USA." ], "affiliations": [ { "raw_affiliation_string": "US Geoloegical Survey, Geosciences and Environmental Change Science Center, PO Box 25046, DFC, MS 980, Denver, CO 80225, USA.", "institution_ids": [ "https://openalex.org/I1286329397" ] } ] }, { "author_position": "middle", "author": { "id": "https://openalex.org/A5067160689", "display_name": "Kelcy Smith", "orcid": "https://orcid.org/0000-0001-6811-1485" }, "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": false, "raw_author_name": "Kelcy Smith", "raw_affiliation_strings": [ "KBR, Contractor to the US Geological Survey Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD 57198, USA." ], "affiliations": [ { "raw_affiliation_string": "KBR, Contractor to the US Geological Survey Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD 57198, USA.", "institution_ids": [ "https://openalex.org/I1286329397" ] } ] }, { "author_position": "last", "author": { "id": "https://openalex.org/A5006812496", "display_name": "Zhe Zhu", "orcid": "https://orcid.org/0000-0001-8283-6407" }, "institutions": [ { "id": "https://openalex.org/I140172145", "display_name": "University of Connecticut", "ror": "https://ror.org/02der9h97", "country_code": "US", "type": "education", "lineage": [ "https://openalex.org/I140172145" ] } ], "countries": [ "US" ], "is_corresponding": false, "raw_author_name": "Zhe Zhu", "raw_affiliation_strings": [ "Department of Natural Resources and the Environment, University of Connecticut, Storrs, CT 06269, USA." ], "affiliations": [ { "raw_affiliation_string": "Department of Natural Resources and the Environment, University of Connecticut, Storrs, CT 06269, USA.", "institution_ids": [ "https://openalex.org/I140172145" ] } ] } ], "best_oa_location": { "is_oa": true, "landing_page_url": "https://doi.org/10.34133/remotesensing.0022", "pdf_url": null, "source": { "id": "https://openalex.org/S4210236127", "display_name": "Journal of Remote Sensing", "issn_l": "2694-1589", "issn": [ "2694-1589", "2097-0064" ], "is_oa": true, "is_in_doaj": true, "is_core": true, "host_organization": "https://openalex.org/P4310315823", "host_organization_name": "American Association for the Advancement of Science", "host_organization_lineage": [ "https://openalex.org/P4310315823" ], "host_organization_lineage_names": [ "American Association for the Advancement of Science" ], "type": "journal" }, "license": "cc-by", "license_id": "https://openalex.org/licenses/cc-by", "version": "publishedVersion", "is_accepted": true, "is_published": true }, "biblio": { "volume": "3", "issue": null, "first_page": null, "last_page": null }, "citation_normalized_percentile": { "value": 0.999949, "is_in_top_1_percent": true, "is_in_top_10_percent": true }, "cited_by_api_url": "https://api.openalex.org/works?filter=cites:W4315644148", "cited_by_count": 6, "cited_by_percentile_year": { "min": 95, "max": 96 }, "concepts": [ { "id": "https://openalex.org/C129315195", "wikidata": "https://www.wikidata.org/wiki/Q1121886", "display_name": "Compositing", "level": 3, "score": 0.88200516 }, { "id": "https://openalex.org/C62649853", "wikidata": "https://www.wikidata.org/wiki/Q199687", "display_name": "Remote sensing", "level": 1, "score": 0.6896362 }, { "id": "https://openalex.org/C2780648208", "wikidata": "https://www.wikidata.org/wiki/Q3001793", "display_name": "Land cover", "level": 3, "score": 0.67654103 }, { "id": "https://openalex.org/C160633673", "wikidata": "https://www.wikidata.org/wiki/Q355198", "display_name": "Pixel", "level": 2, "score": 0.58251214 }, { "id": "https://openalex.org/C39432304", "wikidata": "https://www.wikidata.org/wiki/Q188847", "display_name": "Environmental science", "level": 0, "score": 0.5460241 }, { "id": "https://openalex.org/C41008148", "wikidata": "https://www.wikidata.org/wiki/Q21198", "display_name": "Computer science", "level": 0, "score": 0.47087917 }, { "id": "https://openalex.org/C2780408538", "wikidata": "https://www.wikidata.org/wiki/Q3615217", "display_name": "Ancillary data", "level": 2, "score": 0.4637018 }, { "id": "https://openalex.org/C77088390", "wikidata": "https://www.wikidata.org/wiki/Q8513", "display_name": "Database", "level": 1, "score": 0.45261815 }, { "id": "https://openalex.org/C206887242", "wikidata": "https://www.wikidata.org/wiki/Q830457", "display_name": "Cloud cover", "level": 3, "score": 0.4498585 }, { "id": "https://openalex.org/C2780428219", "wikidata": "https://www.wikidata.org/wiki/Q16952335", "display_name": "Cover (algebra)", "level": 2, "score": 0.42508122 }, { "id": "https://openalex.org/C79974875", "wikidata": "https://www.wikidata.org/wiki/Q483639", "display_name": "Cloud computing", "level": 2, "score": 0.278342 }, { "id": "https://openalex.org/C115961682", "wikidata": "https://www.wikidata.org/wiki/Q860623", "display_name": "Image (mathematics)", "level": 2, "score": 0.2776537 }, { "id": "https://openalex.org/C154945302", "wikidata": "https://www.wikidata.org/wiki/Q11660", "display_name": "Artificial intelligence", "level": 1, "score": 0.24226463 }, { "id": "https://openalex.org/C4792198", "wikidata": "https://www.wikidata.org/wiki/Q1165944", "display_name": "Land use", "level": 2, "score": 0.23088098 }, { "id": "https://openalex.org/C205649164", "wikidata": "https://www.wikidata.org/wiki/Q1071", "display_name": "Geography", "level": 0, "score": 0.19053084 }, { "id": "https://openalex.org/C147176958", "wikidata": "https://www.wikidata.org/wiki/Q77590", "display_name": "Civil engineering", "level": 1, "score": 0.0 }, { "id": "https://openalex.org/C127413603", "wikidata": "https://www.wikidata.org/wiki/Q11023", "display_name": "Engineering", "level": 0, "score": 0.0 }, { "id": "https://openalex.org/C111919701", "wikidata": "https://www.wikidata.org/wiki/Q9135", "display_name": "Operating system", "level": 1, "score": 0.0 }, { "id": "https://openalex.org/C78519656", "wikidata": "https://www.wikidata.org/wiki/Q101333", "display_name": "Mechanical engineering", "level": 1, "score": 0.0 } ], "corresponding_author_ids": [ "https://openalex.org/A5091276881" ], "corresponding_institution_ids": [ "https://openalex.org/I1286329397" ], "countries_distinct_count": 1, "counts_by_year": [ { "year": 2024, "cited_by_count": 4 }, { "year": 2023, "cited_by_count": 2 } ], "created_date": "2023-01-12", "datasets": [], "display_name": "National Land Cover Database 2019: A New Strategy for Creating Clean Leaf-On and Leaf-Off Landsat Composite Images", "doi": "https://doi.org/10.34133/remotesensing.0022", "fwci": 3.697, "grants": [], "has_fulltext": false, "id": "https://openalex.org/W4315644148", "ids": { "openalex": "https://openalex.org/W4315644148", "doi": "https://doi.org/10.34133/remotesensing.0022" }, "indexed_in": [ "crossref" ], "institutions_distinct_count": 2, "is_paratext": false, "is_retracted": false, "keywords": [ { "id": "https://openalex.org/keywords/compositing", "display_name": "Compositing", "score": 0.88200516 }, { "id": "https://openalex.org/keywords/land-cover", "display_name": "Land cover", "score": 0.67654103 }, { "id": "https://openalex.org/keywords/landsat", "display_name": "Landsat", "score": 0.496244 }, { "id": "https://openalex.org/keywords/ancillary-data", "display_name": "Ancillary data", "score": 0.4637018 } ], "language": "en", "locations": [ { "is_oa": true, "landing_page_url": "https://doi.org/10.34133/remotesensing.0022", "pdf_url": null, "source": { "id": "https://openalex.org/S4210236127", "display_name": "Journal of Remote Sensing", "issn_l": "2694-1589", "issn": [ "2694-1589", "2097-0064" ], "is_oa": true, "is_in_doaj": true, "is_core": true, "host_organization": "https://openalex.org/P4310315823", "host_organization_name": "American Association for the Advancement of Science", "host_organization_lineage": [ "https://openalex.org/P4310315823" ], "host_organization_lineage_names": [ "American Association for the Advancement of Science" ], "type": "journal" }, "license": "cc-by", "license_id": "https://openalex.org/licenses/cc-by", "version": "publishedVersion", "is_accepted": true, "is_published": true } ], "locations_count": 1, "mesh": [], "ngrams_url": "https://api.openalex.org/works/W4315644148/ngrams", "open_access": { "is_oa": true, "oa_status": "diamond", "oa_url": "https://doi.org/10.34133/remotesensing.0022", "any_repository_has_fulltext": false }, "primary_location": { "is_oa": true, "landing_page_url": "https://doi.org/10.34133/remotesensing.0022", "pdf_url": null, "source": { "id": "https://openalex.org/S4210236127", "display_name": "Journal of Remote Sensing", "issn_l": "2694-1589", "issn": [ "2694-1589", "2097-0064" ], "is_oa": true, "is_in_doaj": true, "is_core": true, "host_organization": "https://openalex.org/P4310315823", "host_organization_name": "American Association for the Advancement of Science", "host_organization_lineage": [ "https://openalex.org/P4310315823" ], "host_organization_lineage_names": [ "American Association for the Advancement of Science" ], "type": "journal" }, "license": "cc-by", "license_id": "https://openalex.org/licenses/cc-by", "version": "publishedVersion", "is_accepted": true, "is_published": true }, "primary_topic": { "id": "https://openalex.org/T10111", "display_name": "Remote Sensing in Vegetation Monitoring and Phenology", "score": 0.9991, "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": "2023-01-01", "publication_year": 2023, "referenced_works": [ "https://openalex.org/W1752636689", "https://openalex.org/W1968563567", "https://openalex.org/W1974047452", "https://openalex.org/W1981435276", "https://openalex.org/W1985448288", "https://openalex.org/W2022078304", "https://openalex.org/W2024388225", "https://openalex.org/W2025745000", "https://openalex.org/W2028240797", "https://openalex.org/W2029058476", "https://openalex.org/W2030257787", "https://openalex.org/W2058278370", "https://openalex.org/W2085793179", "https://openalex.org/W2086620533", "https://openalex.org/W2090491989", "https://openalex.org/W2098059510", "https://openalex.org/W2106584184", "https://openalex.org/W2120146794", "https://openalex.org/W2121690928", "https://openalex.org/W2125325727", "https://openalex.org/W2149676023", "https://openalex.org/W2184911602", "https://openalex.org/W2199321793", "https://openalex.org/W2296116597", "https://openalex.org/W2572348253", "https://openalex.org/W2891721681", "https://openalex.org/W2900217217", "https://openalex.org/W2915157699", "https://openalex.org/W3003421670", "https://openalex.org/W3009367059", "https://openalex.org/W3122084549", "https://openalex.org/W4313252468" ], "referenced_works_count": 32, "related_works": [ "https://openalex.org/W4384500538", "https://openalex.org/W4383369073", "https://openalex.org/W3009624360", "https://openalex.org/W2307094448", "https://openalex.org/W2247125043", "https://openalex.org/W2137644361", "https://openalex.org/W2088899772", "https://openalex.org/W2043913960", "https://openalex.org/W1968563567", "https://openalex.org/W1908006466" ], "sustainable_development_goals": [], "title": "National Land Cover Database 2019: A New Strategy for Creating Clean Leaf-On and Leaf-Off Landsat Composite Images", "topics": [ { "id": "https://openalex.org/T10111", "display_name": "Remote Sensing in Vegetation Monitoring and Phenology", "score": 0.9991, "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/T10766", "display_name": "Urban Heat Islands and Mitigation Strategies", "score": 0.9903, "subfield": { "id": "https://openalex.org/subfields/2305", "display_name": "Environmental Engineering" }, "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/T10226", "display_name": "Global Analysis of Ecosystem Services and Land Use", "score": 0.9861, "subfield": { "id": "https://openalex.org/subfields/2306", "display_name": "Global and Planetary Change" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } } ], "type": "article", "type_crossref": "journal-article", "updated_date": "2024-08-11T15:40:35.885316", "versions": [] }
}