{"id":"https://openalex.org/W4414230202","doi":"https://doi.org/10.1109/tgrs.2025.3610513","title":"Assessing Potential of Multisource Satellite Data and Machine Learning Models for Cropland Soil Organic Carbon Prediction in Plateau Lake Basin","display_name":"Assessing Potential of Multisource Satellite Data and Machine Learning Models for Cropland Soil Organic Carbon Prediction in Plateau Lake Basin","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414230202","doi":"https://doi.org/10.1109/tgrs.2025.3610513"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3610513","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3610513","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tgrs.2025.3610513","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102482947","display_name":"Xinran Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinran Ji","raw_affiliation_strings":["Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":"https://orcid.org/0009-0006-9364-3161","affiliations":[{"raw_affiliation_string":"Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088342796","display_name":"Bo\u2010Hui Tang","orcid":"https://orcid.org/0000-0002-1918-5346"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo-Hui Tang","raw_affiliation_strings":["Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0002-1918-5346","affiliations":[{"raw_affiliation_string":"Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017810904","display_name":"Liang Huang","orcid":"https://orcid.org/0000-0001-6667-759X"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Huang","raw_affiliation_strings":["Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0001-6667-759X","affiliations":[{"raw_affiliation_string":"Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055768644","display_name":"Guokun Chen","orcid":"https://orcid.org/0000-0001-5866-6321"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guokun Chen","raw_affiliation_strings":["Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0001-5866-6321","affiliations":[{"raw_affiliation_string":"Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026629570","display_name":"Xinming Zhu","orcid":"https://orcid.org/0000-0002-9256-5644"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinming Zhu","raw_affiliation_strings":["Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0002-9256-5644","affiliations":[{"raw_affiliation_string":"Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007899042","display_name":"Dong Fan","orcid":"https://orcid.org/0000-0002-4604-176X"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Fan","raw_affiliation_strings":["Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0002-4604-176X","affiliations":[{"raw_affiliation_string":"Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100738215","display_name":"Junyi Chen","orcid":"https://orcid.org/0000-0001-8428-9259"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyi Chen","raw_affiliation_strings":["Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0001-8428-9259","affiliations":[{"raw_affiliation_string":"Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I10660446"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19209619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.5861999988555908,"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"}},"topics":[{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.5861999988555908,"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/T14157","display_name":"Environmental and Agricultural Sciences","score":0.5541999936103821,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.5473999977111816,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/soil-carbon","display_name":"Soil carbon","score":0.6740999817848206},{"id":"https://openalex.org/keywords/topsoil","display_name":"Topsoil","score":0.6089000105857849},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.49779999256134033},{"id":"https://openalex.org/keywords/plateau","display_name":"Plateau (mathematics)","score":0.48969998955726624},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.450300008058548},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43810001015663147},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4253000020980835},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.4016999900341034},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.3822999894618988}],"concepts":[{"id":"https://openalex.org/C39464130","wikidata":"https://www.wikidata.org/wiki/Q7554898","display_name":"Soil carbon","level":3,"score":0.6740999817848206},{"id":"https://openalex.org/C20529654","wikidata":"https://www.wikidata.org/wiki/Q1247456","display_name":"Topsoil","level":3,"score":0.6089000105857849},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.597599983215332},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.49779999256134033},{"id":"https://openalex.org/C2780030769","wikidata":"https://www.wikidata.org/wiki/Q4968575","display_name":"Plateau (mathematics)","level":2,"score":0.48969998955726624},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.450300008058548},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43810001015663147},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4343000054359436},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4253000020980835},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.4016999900341034},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.3822999894618988},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3781000077724457},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.3709999918937683},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.36970001459121704},{"id":"https://openalex.org/C158787203","wikidata":"https://www.wikidata.org/wiki/Q900291","display_name":"Total organic carbon","level":2,"score":0.36570000648498535},{"id":"https://openalex.org/C104471815","wikidata":"https://www.wikidata.org/wiki/Q5276164","display_name":"Digital soil mapping","level":4,"score":0.36239999532699585},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.3357999920845032},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.32899999618530273},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C94747663","wikidata":"https://www.wikidata.org/wiki/Q7574086","display_name":"Spatial variability","level":2,"score":0.328000009059906},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.3255999982357025},{"id":"https://openalex.org/C37054046","wikidata":"https://www.wikidata.org/wiki/Q641888","display_name":"Elevation (ballistics)","level":2,"score":0.32030001282691956},{"id":"https://openalex.org/C36574619","wikidata":"https://www.wikidata.org/wiki/Q449096","display_name":"Dissolved organic carbon","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.31630000472068787},{"id":"https://openalex.org/C76886044","wikidata":"https://www.wikidata.org/wiki/Q2883300","display_name":"Hydrology (agriculture)","level":2,"score":0.3149000108242035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29600000381469727},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.28040000796318054},{"id":"https://openalex.org/C6939412","wikidata":"https://www.wikidata.org/wiki/Q167751","display_name":"Carbon cycle","level":3,"score":0.28029999136924744},{"id":"https://openalex.org/C2777016058","wikidata":"https://www.wikidata.org/wiki/Q7574061","display_name":"Spatial distribution","level":2,"score":0.2768999934196472}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3610513","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3610513","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tgrs.2025.3610513","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3610513","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1240369446","display_name":null,"funder_award_id":"42361054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5404891540","display_name":null,"funder_award_id":"202401AT070366","funder_id":"https://openalex.org/F4320325440","funder_display_name":"Yunnan Provincial Science and Technology Department"},{"id":"https://openalex.org/G6270083637","display_name":null,"funder_award_id":"42230109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325440","display_name":"Yunnan Provincial Science and Technology Department","ror":"https://ror.org/03whqdf70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1783656533","https://openalex.org/W1934353085","https://openalex.org/W1980537318","https://openalex.org/W2005786949","https://openalex.org/W2041886726","https://openalex.org/W2054325787","https://openalex.org/W2064675550","https://openalex.org/W2076471462","https://openalex.org/W2112796928","https://openalex.org/W2126699720","https://openalex.org/W2161568916","https://openalex.org/W2166465566","https://openalex.org/W2224936358","https://openalex.org/W2261514810","https://openalex.org/W2295598076","https://openalex.org/W2308925226","https://openalex.org/W2618530766","https://openalex.org/W2792422161","https://openalex.org/W2801263672","https://openalex.org/W2883893555","https://openalex.org/W2884166952","https://openalex.org/W2888753230","https://openalex.org/W2898756012","https://openalex.org/W2909926831","https://openalex.org/W2914512071","https://openalex.org/W2962251418","https://openalex.org/W2970458293","https://openalex.org/W2971897573","https://openalex.org/W2982675481","https://openalex.org/W2984531413","https://openalex.org/W2986689991","https://openalex.org/W2990670028","https://openalex.org/W2997591727","https://openalex.org/W3013392361","https://openalex.org/W3030249184","https://openalex.org/W3091161885","https://openalex.org/W3123429085","https://openalex.org/W3137769438","https://openalex.org/W3165133289","https://openalex.org/W3166420679","https://openalex.org/W3167331815","https://openalex.org/W3196148876","https://openalex.org/W3215993684","https://openalex.org/W4206664801","https://openalex.org/W4210763428","https://openalex.org/W4286110450","https://openalex.org/W4293879930","https://openalex.org/W4296107393","https://openalex.org/W4309472792","https://openalex.org/W4311424967","https://openalex.org/W4318562140","https://openalex.org/W4382601271","https://openalex.org/W4385654887","https://openalex.org/W4386056655","https://openalex.org/W4386087158","https://openalex.org/W4388743215","https://openalex.org/W4391067997","https://openalex.org/W4392359418","https://openalex.org/W4392644821","https://openalex.org/W4394679084","https://openalex.org/W4403013257","https://openalex.org/W4403651015","https://openalex.org/W4405929348"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"spatial":[1,148],"quantification":[2],"of":[3,125,183],"cropland":[4],"soil":[5,42],"organic":[6],"carbon":[7,18,194],"(SOC)":[8],"in":[9,21,51,154,163,196],"plateau":[10],"lake":[11],"basins":[12],"is":[13],"crucial":[14],"for":[15,193],"assessing":[16],"the":[17,52,155,164,181],"sequestration":[19],"potential":[20],"ecologically":[22,197],"fragile":[23,198],"regions.":[24],"This":[25],"study":[26],"developed":[27],"a":[28],"machine":[29],"learning":[30,84],"(ML)":[31],"framework":[32],"that":[33,100],"integrates":[34],"multi-source":[35,184],"satellite-derived":[36],"environmental":[37],"covariates":[38],"(topography,":[39],"climate,":[40],"vegetation,":[41],"properties,":[43],"and":[44,77,82,94,117,121,128,139,157,166,187],"parent":[45],"materials)":[46],"to":[47],"estimate":[48],"SOC":[49,147,177],"distribution":[50],"Erhai":[53],"Lake":[54],"basin.":[55],"Using":[56],"432":[57],"topsoil":[58],"samples":[59],"(0\u201320":[60],"cm),":[61],"we":[62],"systematically":[63],"compared":[64],"15":[65],"models,":[66,110],"including":[67],"conventional":[68,108,132],"ML":[69,109,133,188],"approaches":[70,192],"(e.g.,":[71,87],"random":[72],"forest,":[73],"support":[74],"vector":[75],"machine,":[76],"light":[78],"gradient":[79],"boosting":[80],"machine)":[81],"deep":[83],"(DL)":[85],"models":[86,102,134,189],"long":[88],"short-term":[89],"memory,":[90],"recurrent":[91],"neural":[92],"network,":[93],"multilayer":[95],"perceptron).":[96],"The":[97],"results":[98],"showed":[99],"DL":[101],"achieved":[103],"higher":[104,151],"predictive":[105],"accuracy":[106],"than":[107],"reducing":[111],"RMSE":[112],"by":[113,123],"0.1680":[114],"g":[115],"kg\u207b\u00b9":[116],"increasing":[118],"R\u00b2,":[119],"RPIQ,":[120],"CCC":[122],"averages":[124],"0.0225,":[126],"0.1143,":[127],"0.0253,":[129],"respectively,":[130],"although":[131],"exhibited":[135],"greater":[136],"robustness.":[137],"Elevation":[138],"temperature":[140],"were":[141],"identified":[142],"as":[143],"dominant":[144],"factors":[145],"controlling":[146],"patterns,":[149],"with":[150,171],"concentrations":[152],"clustered":[153],"western":[156],"northern":[158],"subbasins.":[159],"Greater":[160],"prediction":[161],"uncertainty":[162],"northwestern":[165],"eastern":[167],"margins":[168],"was":[169],"associated":[170],"complex":[172],"terrain":[173],"heterogeneity.":[174],"Spatially":[175],"explicit":[176],"mapping":[178],"derived":[179],"from":[180],"integration":[182],"satellite":[185],"data":[186],"offers":[190],"innovative":[191],"management":[195],"lacustrine":[199],"agroecosystems.":[200]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}