{"id":"https://openalex.org/W309687993","doi":"https://doi.org/10.3920/9789086865147_097","title":"Spatial detection of topsoil properties using hyperspectral sensing","display_name":"Spatial detection of topsoil properties using hyperspectral sensing","publication_year":2003,"publication_date":"2003-10-24","ids":{"openalex":"https://openalex.org/W309687993","doi":"https://doi.org/10.3920/9789086865147_097","mag":"309687993"},"language":"en","primary_location":{"id":"doi:10.3920/9789086865147_097","doi":"https://doi.org/10.3920/9789086865147_097","is_oa":false,"landing_page_url":"https://doi.org/10.3920/9789086865147_097","pdf_url":null,"source":{"id":"https://openalex.org/S4306464271","display_name":"Wageningen Academic Publishers eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Precision agriculture","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W4231855746","display_name":"Precision agriculture"},"type":"book-chapter","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113541967","display_name":"T. Selige","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T. Selige","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044596164","display_name":"Ludwig N\u00e4tscher","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L. N\u00e4tscher","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5019920080","display_name":"Urs Schmidhalter","orcid":"https://orcid.org/0000-0003-4106-7124","observed_orcids":["https://orcid.org/0000-0003-4106-7124"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"U. Schmidhalter","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7582,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.84300341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"633","last_page":"638"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9624000191688538,"subfield":{"id":"https://openalex.org/subfields/1111","display_name":"Soil 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"}},"topics":[{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9624000191688538,"subfield":{"id":"https://openalex.org/subfields/1111","display_name":"Soil 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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.026599999517202377,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.0034000000450760126,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/topsoil-properties","display_name":"topsoil properties","score":0.9570000171661377},{"id":"https://openalex.org/keywords/soil-texture","display_name":"soil texture","score":0.6539999842643738},{"id":"https://openalex.org/keywords/soil-organic-matter","display_name":"soil organic matter","score":0.9670000076293945},{"id":"https://openalex.org/keywords/clay-content","display_name":"clay content","score":0.9879999756813049},{"id":"https://openalex.org/keywords/hyperspectral-sensing","display_name":"hyperspectral sensing","score":0.7670000195503235},{"id":"https://openalex.org/keywords/airborne-hyperspectral-imagery","display_name":"airborne hyperspectral imagery","score":0.9700000286102295},{"id":"https://openalex.org/keywords/field-spectroscopy","display_name":"field spectroscopy","score":0.9290000200271606},{"id":"https://openalex.org/keywords/spatial-variability","display_name":"spatial variability","score":0.781000018119812},{"id":"https://openalex.org/keywords/precision-agriculture","display_name":"precision agriculture","score":0.7009999752044678},{"id":"https://openalex.org/keywords/soil-mapping","display_name":"soil mapping","score":0.6909999847412109},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"partial least squares regression","score":0.8700000047683716},{"id":"https://openalex.org/keywords/multivariate-calibration","display_name":"multivariate calibration","score":0.8500000238418579},{"id":"https://openalex.org/keywords/iron-oxide","display_name":"iron oxide","score":0.9120000004768372},{"id":"https://openalex.org/keywords/coarse-sand","display_name":"coarse sand","score":0.7009999752044678}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8389443159103394},{"id":"https://openalex.org/C20529654","wikidata":"https://www.wikidata.org/wiki/Q1247456","display_name":"Topsoil","level":3,"score":0.7166415452957153},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.636459231376648},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.612122654914856},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.3245004117488861},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.22168749570846558},{"id":"https://openalex.org/C159750122","wikidata":"https://www.wikidata.org/wiki/Q96621023","display_name":"Soil water","level":2,"score":0.06199222803115845}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3920/9789086865147_097","doi":"https://doi.org/10.3920/9789086865147_097","is_oa":false,"landing_page_url":"https://doi.org/10.3920/9789086865147_097","pdf_url":null,"source":{"id":"https://openalex.org/S4306464271","display_name":"Wageningen Academic Publishers eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Precision agriculture","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.5666999816894531,"display_name":"Zero hunger"},{"id":"https://metadata.un.org/sdg/15","score":0.4390000104904175,"display_name":"Life on land"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2006348173","https://openalex.org/W3160165547","https://openalex.org/W1990031785","https://openalex.org/W2093668679","https://openalex.org/W194868429","https://openalex.org/W7120397252","https://openalex.org/W2489073178","https://openalex.org/W4210662506","https://openalex.org/W2553098551","https://openalex.org/W3134353251"],"abstract_inverted_index":{"The":[0,102],"spatial":[1],"variability":[2],"of":[3,22,78,89,104],"topsoil":[4,30],"texture":[5],"and":[6,15,38,68,86,129,137],"organic":[7,36,58,106,116,130],"matter":[8,37,107,117,131],"across":[9],"fields":[10],"was":[11],"studied":[12],"using":[13,139],"field-spectroscopy":[14],"airborne":[16],"hyperspectral":[17],"imagery":[18],"with":[19,43],"the":[20,65,74,99,105,115,120,127],"aim":[21],"improving":[23],"fine-scale":[24],"soil":[25],"mapping":[26],"procedures.":[27],"Two":[28],"important":[29],"parameters":[31,47],"for":[32],"precision":[33],"farming":[34],"applications,":[35],"clay":[39,69,96,128],"content,":[40],"were":[41],"correlated":[42],"spectral":[44,55,100,121],"properties.":[45],"Both":[46],"can":[48,133],"be":[49,109,134],"determined":[50],"simultaneously":[51,138],"from":[52,98,119],"a":[53,145],"single":[54],"signature":[56],"since":[57],"carbon":[59],"largely":[60],"responds":[61,70],"to":[62,71,82,94,113],"wavebands":[63,72],"in":[64,73,92,111],"visible":[66],"range":[67],"Near":[75],"Infrared.":[76],"Because":[77],"cross-correlations,":[79],"one":[80],"has":[81],"consider":[83],"iron":[84],"oxides":[85],"high":[87],"amounts":[88],"coarse":[90],"sand":[91],"order":[93,112],"infer":[95,114],"content":[97,118,132],"signature.":[101,122],"composition":[103],"should":[108],"considered":[110],"It":[123],"is":[124],"shown":[125],"that":[126],"predicted":[135],"quantitatively":[136],"Partial":[140],"Least":[141],"Squares":[142],"Regression":[143],"by":[144],"multivariate":[146],"calibration":[147],"approach.":[148]},"counts_by_year":[{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-10T09:11:00.788812","created_date":"2016-06-24T00:00:00"}
