{"id":"https://openalex.org/W4402262219","doi":"https://doi.org/10.1109/igarss53475.2024.10642035","title":"Predicting C-band backscattering coefficient using the water cloud model and optical vegetation indices","display_name":"Predicting C-band backscattering coefficient using the water cloud model and optical vegetation indices","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402262219","doi":"https://doi.org/10.1109/igarss53475.2024.10642035"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10642035","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10642035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","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/A5021861000","display_name":"Raja Inoubli","orcid":"https://orcid.org/0000-0002-7076-5848"},"institutions":[{"id":"https://openalex.org/I83259278","display_name":"Manouba University","ror":"https://ror.org/0503ejf32","country_code":"TN","type":"education","lineage":["https://openalex.org/I83259278"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Raja Inoubli","raw_affiliation_strings":["National School of Computer Science,RIADI Laboratory,Manouba,Tunisia"],"affiliations":[{"raw_affiliation_string":"National School of Computer Science,RIADI Laboratory,Manouba,Tunisia","institution_ids":["https://openalex.org/I83259278"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061472141","display_name":"Daniel Enrique Constantino-Recillas","orcid":"https://orcid.org/0000-0001-9806-9329"},"institutions":[{"id":"https://openalex.org/I59361560","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34","country_code":"MX","type":"education","lineage":["https://openalex.org/I59361560"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Daniel Enrique Constantino-Recillas","raw_affiliation_strings":["Instituto Polit&#x00E9;cnico Nacional,ESIME Ticom&#x00E1;n,Mexico City,Mexico"],"affiliations":[{"raw_affiliation_string":"Instituto Polit&#x00E9;cnico Nacional,ESIME Ticom&#x00E1;n,Mexico City,Mexico","institution_ids":["https://openalex.org/I59361560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016429790","display_name":"Alejandro Monsiv\u00e1is-Huertero","orcid":"https://orcid.org/0000-0001-9311-8654"},"institutions":[{"id":"https://openalex.org/I59361560","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34","country_code":"MX","type":"education","lineage":["https://openalex.org/I59361560"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Alejandro Monsiv\u00e1is-Huertero","raw_affiliation_strings":["Instituto Polit&#x00E9;cnico Nacional,ESIME Ticom&#x00E1;n,Mexico City,Mexico"],"affiliations":[{"raw_affiliation_string":"Instituto Polit&#x00E9;cnico Nacional,ESIME Ticom&#x00E1;n,Mexico City,Mexico","institution_ids":["https://openalex.org/I59361560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069583539","display_name":"Lilia Bennaceur Farah","orcid":null},"institutions":[{"id":"https://openalex.org/I42731748","display_name":"National Institute of Applied Science and Technology","ror":"https://ror.org/00qn2rd91","country_code":"TN","type":"facility","lineage":["https://openalex.org/I42731748"]},{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Lilia Bennaceur Farah","raw_affiliation_strings":["Manar University,IPEIEM (Institut Pr&#x00E9;paratoire aux &#x00C9;tudes d'Ing&#x00E9;nieurs El Manar.), (LTSIRS)INSAT (Institut National des Sciences d'ing&#x00E9;nieurs de Tunis),Tunis,Tunisia"],"affiliations":[{"raw_affiliation_string":"Manar University,IPEIEM (Institut Pr&#x00E9;paratoire aux &#x00C9;tudes d'Ing&#x00E9;nieurs El Manar.), (LTSIRS)INSAT (Institut National des Sciences d'ing&#x00E9;nieurs de Tunis),Tunis,Tunisia","institution_ids":["https://openalex.org/I63596082","https://openalex.org/I42731748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053542801","display_name":"Imed Riadh Farah","orcid":"https://orcid.org/0000-0001-9114-5659"},"institutions":[{"id":"https://openalex.org/I83259278","display_name":"Manouba University","ror":"https://ror.org/0503ejf32","country_code":"TN","type":"education","lineage":["https://openalex.org/I83259278"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Imed Riadh Farah","raw_affiliation_strings":["National School of Computer Science,RIADI Laboratory,Manouba,Tunisia"],"affiliations":[{"raw_affiliation_string":"National School of Computer Science,RIADI Laboratory,Manouba,Tunisia","institution_ids":["https://openalex.org/I83259278"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021861000"],"corresponding_institution_ids":["https://openalex.org/I83259278"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13350043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"10629","last_page":"10633"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9988999962806702,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9988999962806702,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9959999918937683,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9869999885559082,"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/vegetation","display_name":"Vegetation (pathology)","score":0.702717125415802},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6992696523666382},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5691086649894714},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5061735510826111},{"id":"https://openalex.org/keywords/atmospheric-model","display_name":"Atmospheric model","score":0.4860530197620392},{"id":"https://openalex.org/keywords/vegetation-index","display_name":"Vegetation Index","score":0.41593360900878906},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2906065583229065},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.24829861521720886},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.23066073656082153},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18694719672203064},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.18438327312469482},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.1217794418334961}],"concepts":[{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.702717125415802},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6992696523666382},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5691086649894714},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5061735510826111},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.4860530197620392},{"id":"https://openalex.org/C2780376076","wikidata":"https://www.wikidata.org/wiki/Q1499458","display_name":"Vegetation Index","level":4,"score":0.41593360900878906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2906065583229065},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.24829861521720886},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.23066073656082153},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18694719672203064},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.18438327312469482},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.1217794418334961},{"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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10642035","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10642035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2084952127","https://openalex.org/W2087070363","https://openalex.org/W2130989950","https://openalex.org/W2138149909","https://openalex.org/W2968801187","https://openalex.org/W2986640023","https://openalex.org/W3036992217","https://openalex.org/W3080323273","https://openalex.org/W4226334894","https://openalex.org/W4387803691"],"related_works":["https://openalex.org/W3018080369","https://openalex.org/W4298152215","https://openalex.org/W4292161287","https://openalex.org/W2383038510","https://openalex.org/W2171400093","https://openalex.org/W2371343493","https://openalex.org/W2388889817","https://openalex.org/W3017461794","https://openalex.org/W2980711745","https://openalex.org/W2372683889"],"abstract_inverted_index":{"The":[0,23,58,92],"assessment":[1],"of":[2,25,54,60,89,94,104,122,202,235,245],"satellite":[3,28],"products":[4],"over":[5,111],"agricultural":[6,63,189,252],"areas":[7],"has":[8],"several":[9],"challenges":[10],"that":[11,73,199],"get":[12],"more":[13],"complex":[14],"in":[15,72,80,134,186,192],"developing":[16],"countries,":[17],"particularly":[18],"when":[19,132,241],"exploiting":[20],"active":[21,135],"observation.":[22],"use":[24,201,234],"free-open":[26],"access":[27],"images":[29,37],"such":[30],"as":[31,38],"Sentinel-1":[32],"(S-1)":[33],"and":[34,51,69,146,210,218,238],"Sentinel-2":[35],"(S-2)":[36],"data":[39],"sources":[40],"is":[41,83,102,116],"considered":[42],"a":[43,182,187],"great":[44],"alternative":[45],"to":[46,77,85,97,118],"minimize":[47],"the":[48,55,61,67,75,86,99,105,120,123,140,156,169,200,203,227,233,236],"high":[49],"cost":[50],"time":[52],"consumption":[53],"field":[56,183],"measurements.":[57],"composition":[59],"rainfed":[62],"zones":[64],"depends":[65],"on":[66,162,177,226],"vegetation":[68,95,100,125],"soil":[70],"layers,":[71],"sense,":[74],"ability":[76],"detect":[78],"changes":[79,101],"surface":[81],"parameters":[82,246],"related":[84],"adequate":[87],"representation":[88],"these":[90],"components.":[91],"selection":[93],"descriptors":[96],"represent":[98],"one":[103],"main":[106],"steps":[107],"for":[108,213,247,251],"accurate":[109],"simulations":[110],"vegetated":[112],"areas.":[113],"Therefore,":[114],"it":[115],"essential":[117],"assess":[119],"impact":[121],"different":[124,243],"indices":[126],"(VIs)":[127],"derived":[128],"from":[129],"optical":[130],"information":[131,179],"included":[133],"models.":[136],"In":[137,166],"this":[138,167,229],"study,":[139],"Normalized":[141],"Difference":[142],"Vegetation":[143,150,157],"Index":[144,151],"(NDVI)":[145],"Specific":[147],"Leaf":[148],"Area":[149],"(SLAVI)":[152],"were":[153],"compared":[154],"with":[155],"Water":[158,170],"Content":[159],"calculated":[160],"based":[161,176],"NDVI":[163],"values":[164],"(VWC-ndvi).":[165],"paper,":[168],"Cloud":[171],"Model":[172],"(WCM)":[173],"was":[174,197],"used":[175],"in-situ":[178],"collected":[180],"during":[181],"experiment":[184],"conducted":[185],"rain-fed":[188],"area":[190],"located":[191],"Central":[193],"Mexico":[194],"(THEXMEX-19).":[195],"It":[196],"concluded":[198],"VW":[204],"C-ndvi":[205],"obtained":[206],"0.97,":[207],"-0.11":[208],"dB,":[209],"0.49":[211],"dB":[212],"correlation":[214],"coefficient":[215],"(r),":[216],"Bias,":[217],"root":[219],"mean":[220],"squared":[221],"difference":[222],"(RMSD),":[223],"respectively.":[224],"Based":[225],"results,":[228],"work":[230],"highly":[231],"recommends":[232],"WCM":[237],"Oh":[239],"model":[240],"evaluating":[242],"combinations":[244],"operational":[248],"use,":[249],"especially":[250],"purposes.":[253]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
