{"id":"https://openalex.org/W3131193981","doi":"https://doi.org/10.1109/igarss39084.2020.9324058","title":"Remotely Sensed Method for Detection of Spatial Distribution Pattern of Dryland Plants in Water Limited Ecosystem","display_name":"Remotely Sensed Method for Detection of Spatial Distribution Pattern of Dryland Plants in Water Limited Ecosystem","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3131193981","doi":"https://doi.org/10.1109/igarss39084.2020.9324058","mag":"3131193981"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9324058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://rakuno.repo.nii.ac.jp/records/6774","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037910719","display_name":"Buho Hoshino","orcid":"https://orcid.org/0000-0002-5909-7869"},"institutions":[{"id":"https://openalex.org/I79669737","display_name":"Rakuno Gakuen University","ror":"https://ror.org/014rqt829","country_code":"JP","type":"education","lineage":["https://openalex.org/I79669737"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Buho Hoshino","raw_affiliation_strings":["Laboratory of Environmental Remote Sensing, Rakuno Gakuen University, Ebetsu, Japan"],"affiliations":[{"raw_affiliation_string":"Laboratory of Environmental Remote Sensing, Rakuno Gakuen University, Ebetsu, Japan","institution_ids":["https://openalex.org/I79669737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041204887","display_name":"Ying Tian","orcid":"https://orcid.org/0000-0002-2657-4833"},"institutions":[{"id":"https://openalex.org/I79669737","display_name":"Rakuno Gakuen University","ror":"https://ror.org/014rqt829","country_code":"JP","type":"education","lineage":["https://openalex.org/I79669737"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ying Tian","raw_affiliation_strings":["Laboratory of Environmental Remote Sensing, Rakuno Gakuen University, Ebetsu, Japan"],"affiliations":[{"raw_affiliation_string":"Laboratory of Environmental Remote Sensing, Rakuno Gakuen University, Ebetsu, Japan","institution_ids":["https://openalex.org/I79669737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071690809","display_name":"Keita Shima","orcid":null},"institutions":[{"id":"https://openalex.org/I79669737","display_name":"Rakuno Gakuen University","ror":"https://ror.org/014rqt829","country_code":"JP","type":"education","lineage":["https://openalex.org/I79669737"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keita Shima","raw_affiliation_strings":["Laboratory of Environmental Remote Sensing, Rakuno Gakuen University, Ebetsu, Japan"],"affiliations":[{"raw_affiliation_string":"Laboratory of Environmental Remote Sensing, Rakuno Gakuen University, Ebetsu, Japan","institution_ids":["https://openalex.org/I79669737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085309726","display_name":"Su Riga","orcid":null},"institutions":[{"id":"https://openalex.org/I79669737","display_name":"Rakuno Gakuen University","ror":"https://ror.org/014rqt829","country_code":"JP","type":"education","lineage":["https://openalex.org/I79669737"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Su Riga","raw_affiliation_strings":["Laboratory of Environmental Remote Sensing, Rakuno Gakuen University, Ebetsu, Japan"],"affiliations":[{"raw_affiliation_string":"Laboratory of Environmental Remote Sensing, Rakuno Gakuen University, Ebetsu, Japan","institution_ids":["https://openalex.org/I79669737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054176744","display_name":"Zoljarga Enkhtuvshin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zoljarga Enkhtuvshin","raw_affiliation_strings":["Mongolian Hydrological, Meteorological and Environmental Center of Sainshand, Mongolia"],"affiliations":[{"raw_affiliation_string":"Mongolian Hydrological, Meteorological and Environmental Center of Sainshand, Mongolia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018763016","display_name":"Christopher McCarthy","orcid":"https://orcid.org/0000-0001-5563-3583"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher McCarthy","raw_affiliation_strings":["University of California San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018760933","display_name":"Myagmartseren Purevtseren","orcid":"https://orcid.org/0000-0003-4159-0062"},"institutions":[{"id":"https://openalex.org/I64222039","display_name":"National University of Mongolia","ror":"https://ror.org/04855bv47","country_code":"MN","type":"education","lineage":["https://openalex.org/I64222039"]}],"countries":["MN"],"is_corresponding":false,"raw_author_name":"Myagmartseren Purevtseren","raw_affiliation_strings":["National University of Mongolia, Ulaanbaatar, Mongolia"],"affiliations":[{"raw_affiliation_string":"National University of Mongolia, Ulaanbaatar, Mongolia","institution_ids":["https://openalex.org/I64222039"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5037910719"],"corresponding_institution_ids":["https://openalex.org/I79669737"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.16595274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"2020","issue":"1","first_page":"2799","last_page":"2802"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13377","display_name":"Ecosystem dynamics and resilience","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T13377","display_name":"Ecosystem dynamics and resilience","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9894000291824341,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9711999893188477,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.7949279546737671},{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.7687358856201172},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.7646694183349609},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6898386478424072},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6200151443481445},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5348753929138184},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.43309032917022705},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.3987470865249634},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.29370731115341187},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.11164039373397827},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.09065082669258118}],"concepts":[{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.7949279546737671},{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.7687358856201172},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.7646694183349609},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6898386478424072},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6200151443481445},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5348753929138184},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.43309032917022705},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.3987470865249634},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.29370731115341187},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.11164039373397827},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.09065082669258118},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss39084.2020.9324058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:irdb.nii.ac.jp:01043:0005231136","is_oa":true,"landing_page_url":"https://rakuno.repo.nii.ac.jp/records/6774","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"journal article"}],"best_oa_location":{"id":"pmh:oai:irdb.nii.ac.jp:01043:0005231136","is_oa":true,"landing_page_url":"https://rakuno.repo.nii.ac.jp/records/6774","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"journal article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.5699999928474426,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1981105828","https://openalex.org/W2086604134","https://openalex.org/W2101173516","https://openalex.org/W2105801075","https://openalex.org/W2122094911","https://openalex.org/W2153679859","https://openalex.org/W2164575404","https://openalex.org/W2300967491","https://openalex.org/W2593381403","https://openalex.org/W2787754485"],"related_works":["https://openalex.org/W2136635809","https://openalex.org/W2018409903","https://openalex.org/W2122965290","https://openalex.org/W2039688465","https://openalex.org/W2051369786","https://openalex.org/W4214827030","https://openalex.org/W2955751284","https://openalex.org/W2006559622","https://openalex.org/W2037413587","https://openalex.org/W2139083838"],"abstract_inverted_index":{"The":[0,17],"Gobi":[1,57],"Desert":[2,58],"in":[3,48,55],"Mongolia":[4],"is":[5,20,68,78,84,94,139],"characterized":[6],"by":[7,23,96,104],"sparse":[8],"and":[9,87,108,116,171,174,182],"patchy":[10],"vegetation,":[11],"interspersed":[12],"with":[13,156],"essentially":[14],"bare":[15,35,65],"areas.":[16],"vegetation":[18,47,146,187],"pattern":[19],"typically":[21],"formed":[22],"perennial":[24],"shrubs,":[25],"grasses":[26],"or":[27],"annually-herbaceous":[28],"plant":[29],"overlying":[30],"a":[31,49,63,121,131,152],"matrix":[32],"composed":[33],"of":[34,46,81,90,127,144,165,179,186],"soil.":[36],"Vegetation":[37],"patterns,":[38],"most":[39],"broadly,":[40],"refer":[41],"to":[42,71],"the":[43,53,56,88,123,135,142,145,157],"spatial":[44],"organization":[45],"landscape.":[50],"However,":[51],"since":[52],"plants":[54,93,129,177],"are":[59],"sparsely":[60],"distributed":[61,92],"over":[62],"vast":[64],"field,":[66],"it":[67],"extremely":[69],"difficult":[70],"accurately":[72],"observe":[73],"from":[74],"satellite":[75,113],"imagery.":[76],"This":[77,99],"because":[79],"reflectance":[80,89],"dry":[82],"soil":[83,97],"very":[85],"high":[86,154],"slightly":[91],"eliminated":[95],"reflection.":[98],"study":[100],"solves":[101],"this":[102],"problem":[103],"using":[105],"field":[106,158,180],"surveys":[107],"methods":[109],"for":[110],"combining":[111],"different":[112],"sensor":[114],"data":[115],"spectral":[117],"un-mixing":[118,150],"analysis.":[119],"As":[120],"result,":[122],"pixel":[124,149],"NDVI":[125,164],"value":[126,133],"desert":[128],"shows":[130],"smaller":[132],"than":[134],"ground":[136],"measurement.":[137],"It":[138],"shown":[140],"that":[141],"fraction":[143],"endmember":[147],"after":[148],"has":[151],"remarkably":[153],"correlation":[155],"measured":[159],"values":[160],"(where,":[161],"R2=0.51":[162],"between":[163,176],"Landsat":[166],"8":[167],"imagery":[168],"original":[169],"pixels":[170,173,184],"un-mixed":[172,183],"R2=0.79":[175],"coverage":[178],"measurement":[181],"percentage":[185],"endmembers).":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}