{"id":"https://openalex.org/W4388019172","doi":"https://doi.org/10.1109/jstars.2023.3328299","title":"Deep Learning-Oriented c-GAN Models for Vegetative Drought Prediction on Peninsular India","display_name":"Deep Learning-Oriented c-GAN Models for Vegetative Drought Prediction on Peninsular India","publication_year":2023,"publication_date":"2023-10-30","ids":{"openalex":"https://openalex.org/W4388019172","doi":"https://doi.org/10.1109/jstars.2023.3328299"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2023.3328299","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3328299","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10301647.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10301647.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101793675","display_name":"Jyoti Shukla","orcid":"https://orcid.org/0000-0001-8632-2710"},"institutions":[{"id":"https://openalex.org/I4210152718","display_name":"Indian Institute of Technology Dharwad","ror":"https://ror.org/0509djg30","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210152718"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Jyoti S. Shukla","raw_affiliation_strings":["Electrical, Electronics, and Communications Engineering Department, Indian Institute of Technology, Dharwad, India"],"raw_orcid":"https://orcid.org/0000-0001-8632-2710","affiliations":[{"raw_affiliation_string":"Electrical, Electronics, and Communications Engineering Department, Indian Institute of Technology, Dharwad, India","institution_ids":["https://openalex.org/I4210152718"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067878129","display_name":"Rahul Jashvantbhai Pandya","orcid":"https://orcid.org/0000-0002-3259-817X"},"institutions":[{"id":"https://openalex.org/I4210152718","display_name":"Indian Institute of Technology Dharwad","ror":"https://ror.org/0509djg30","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210152718"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rahul Jashvantbhai Pandya","raw_affiliation_strings":["Electrical, Electronics, and Communications Engineering Department, Indian Institute of Technology, Dharwad, India"],"raw_orcid":"https://orcid.org/0000-0002-3259-817X","affiliations":[{"raw_affiliation_string":"Electrical, Electronics, and Communications Engineering Department, Indian Institute of Technology, Dharwad, India","institution_ids":["https://openalex.org/I4210152718"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101793675"],"corresponding_institution_ids":["https://openalex.org/I4210152718"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":2.1688,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87304953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"17","issue":null,"first_page":"282","last_page":"297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11186","display_name":"Hydrology and Drought Analysis","score":0.9997000098228455,"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/T11186","display_name":"Hydrology and Drought Analysis","score":0.9997000098228455,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9876999855041504,"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/T10029","display_name":"Climate variability and models","score":0.9869999885559082,"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/mean-squared-error","display_name":"Mean squared error","score":0.7355025410652161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47630012035369873},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4637606143951416},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.41872987151145935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38875287771224976},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3470948338508606},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.33899372816085815},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3369978964328766},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.32536542415618896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.250215083360672},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.13850411772727966},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10618928074836731},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.1020466685295105}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7355025410652161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47630012035369873},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4637606143951416},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.41872987151145935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38875287771224976},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3470948338508606},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.33899372816085815},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3369978964328766},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.32536542415618896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.250215083360672},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.13850411772727966},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10618928074836731},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.1020466685295105},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2023.3328299","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3328299","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10301647.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:78f91b1f953e4856b35e4535f20ad9f7","is_oa":true,"landing_page_url":"https://doaj.org/article/78f91b1f953e4856b35e4535f20ad9f7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 282-297 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2023.3328299","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2023.3328299","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10301647.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G4874003082","display_name":null,"funder_award_id":"SIR/2022/000957","funder_id":"https://openalex.org/F4320334771","funder_display_name":"Science and Engineering Research Board"},{"id":"https://openalex.org/G7544431555","display_name":null,"funder_award_id":"EEQ/2020/000047","funder_id":"https://openalex.org/F4320334771","funder_display_name":"Science and Engineering Research Board"}],"funders":[{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388019172.pdf","grobid_xml":"https://content.openalex.org/works/W4388019172.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1565533654","https://openalex.org/W1979381053","https://openalex.org/W2076196327","https://openalex.org/W2083310487","https://openalex.org/W2125389028","https://openalex.org/W2127944903","https://openalex.org/W2181460351","https://openalex.org/W2531416169","https://openalex.org/W2547416234","https://openalex.org/W2734791951","https://openalex.org/W2781649186","https://openalex.org/W2781788540","https://openalex.org/W2897401543","https://openalex.org/W2919244278","https://openalex.org/W2943118732","https://openalex.org/W2944451185","https://openalex.org/W2963073614","https://openalex.org/W2987039128","https://openalex.org/W2999446243","https://openalex.org/W3005716915","https://openalex.org/W3006404143","https://openalex.org/W3011977658","https://openalex.org/W3047166575","https://openalex.org/W3049021056","https://openalex.org/W3055194044","https://openalex.org/W3095668211","https://openalex.org/W3096831136","https://openalex.org/W3100582685","https://openalex.org/W3113091919","https://openalex.org/W3121820739","https://openalex.org/W3129768331","https://openalex.org/W3135073716","https://openalex.org/W3150039746","https://openalex.org/W3186491181","https://openalex.org/W3196039084","https://openalex.org/W3201248032","https://openalex.org/W3203392338","https://openalex.org/W3203733595","https://openalex.org/W3207885421","https://openalex.org/W3217447788","https://openalex.org/W4210663401","https://openalex.org/W4281870109","https://openalex.org/W4293055003","https://openalex.org/W4297548904","https://openalex.org/W4313408622","https://openalex.org/W4321376285","https://openalex.org/W4384699161","https://openalex.org/W4385688426","https://openalex.org/W6628877408","https://openalex.org/W6678815747"],"related_works":["https://openalex.org/W2102148524","https://openalex.org/W2314720829","https://openalex.org/W4385074335","https://openalex.org/W2626189183","https://openalex.org/W2626268514","https://openalex.org/W2961085424","https://openalex.org/W4318612353","https://openalex.org/W4390939596","https://openalex.org/W4389829534","https://openalex.org/W4386715265"],"abstract_inverted_index":{"In":[0],"this":[1,82],"article,":[2],"the":[3,53,66,85,93,106,145,151,159,194,198,218,222],"vegetative":[4],"drought":[5,69,142,147,190,195,209,249],"prediction":[6],"employing":[7,141],"Deep":[8],"Learning":[9],"(DL)":[10],"models":[11,31,64,161,214],"is":[12,89,96,156],"designed,":[13],"incorporating":[14],"rainfall":[15],"data":[16],"and":[17,42,75,92,108,134,139,170,176,180,183,201,241],"NOAA":[18],"satellite-data":[19],"derived":[20],"Vegetation":[21],"Health":[22],"Index":[23],"(VHI)":[24],"values":[25,172],"spanning":[26],"1981-2022.":[27],"Correspondingly,":[28],"two":[29,103],"DL-oriented":[30],"based":[32],"on":[33,102,221,231],"Generative":[34],"Adversarial":[35],"Networks":[36],"(GANs):":[37],"1)":[38],"Pix2Pix":[39],"GAN":[40,48],"(P2P)":[41],"2)":[43],"Bidirectional":[44],"Convolutional":[45],"LSTM":[46],"(BiConvLSTM)-P2P":[47],"(BiCP2P)":[49],"are":[50,117],"developed":[51,219],"over":[52,150,162],"targeted":[54,80],"Region":[55],"of":[56,61,68,111,126,173],"Interest":[57],"(ROIs).":[58],"The":[59,113,212],"assimilation":[60],"generative":[62],"DL":[63],"for":[65,178,185,207,217,227],"application":[67],"forecasting":[70,229],"constitutes":[71],"a":[72,76],"novel":[73],"investigation":[74],"stateof-":[77],"art":[78],"approach":[79],"in":[81,238],"work.":[83],"Subsequently,":[84],"primary":[86],"ROI":[87],"designated":[88],"peninsular":[90,163],"India,":[91,164],"models'":[94,115],"efficacy":[95],"further":[97,206],"validated":[98],"by":[99,158],"implementing":[100],"it":[101],"more":[104],"ROIs:":[105],"Karnataka":[107],"Rajasthan":[109],"states":[110],"India.":[112],"proposed":[114,160,213],"outcomes":[116],"compared":[118],"with":[119,165],"several":[120],"preferred":[121],"methodologies,":[122],"quantitatively":[123],"through":[124],"Coefficient":[125],"Determination":[127],"(R2":[128],"score),":[129],"Mean":[130,135],"Squared":[131],"Error":[132,137],"(MSE),":[133],"Absolute":[136],"(MAE)":[138],"qualitatively":[140],"maps":[143,191],"denoting":[144],"VHIbased":[146],"severity":[148],"levels":[149],"ROI.":[152],"Remarkably,":[153],"excellent":[154],"performance":[155],"demonstrated":[157],"earned":[166],"R2":[167],"score,":[168],"MSE,":[169],"MAE":[171],"0.971,":[174],"0.0016,":[175],"0.020":[177],"P2P":[179],"0.963,":[181],"0.0021,":[182],"0.0239":[184],"BiCP2P,":[186],"respectively.":[187],"Moreover,":[188],"generated":[189],"efficiently":[192],"portrayed":[193],"severities":[196],"across":[197],"land":[199],"cover":[200],"could":[202],"potentially":[203],"be":[204],"extended":[205],"rapid":[208],"risk":[210],"assessments.":[211],"functioned":[215],"outstandingly":[216],"datasets":[220],"ROIs,":[223],"corroborating":[224],"their":[225],"potential":[226],"similar":[228],"applications":[230],"other":[232],"climatic":[233],"zones,":[234],"which":[235],"can":[236],"aid":[237],"better":[239],"planning":[240],"preparedness":[242],"to":[243],"tackle":[244],"natural":[245],"predicaments":[246],"such":[247],"as":[248],"calamity.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}