Nighttime　light　(NTL)　data　are　important　for　estimating　Anthropogenic　Heat　Flux　(AHF).　However,　the　commonly　used　DMSP/OLS　and　Suomi-NPP/VIIRS　NTL　data　are　restricted　by　their　coarse　spatial　resolution　and　therefore,　cannot　exhibit　the　spatial　details　of　AHF　at　city　scale.　The　130　m　high-resolution　NTL　data　obtained　by　the　Luojia　1-01　satellite　launched　in　June　2018　show　potential　to　solve　this　problem.　Therefore,　this　study　aims　to　construct　an　AHF　estimation　model　using　the　NTL　data　of　Luojia　1-01　for　Fujian　Province　based　on　three　indexes,　namely,　normalized　nighttime　light　data　(NTLnor),　Human　Settlement　Index　(HSI),　and　Vegetation　Adjusted　NTL　Urban　Index　(VANUI).　To　determine　the　best　estimation　model　of　AHF,　the　AHF　of　84　county-level　cities　of　Fujian　Province　has　also　been　calculated　using　energy-consumption　statistics　data　and　then　correlated　with　the　corresponding　data　of　three　indexes.　Results　show　that　(1)　based　on　a　five-fold　cross　validation　approach,　VANUI　power　estimation　model　achieves　the　highest　R2　along　with　the　smallest　RMSE;　therefore,　it　has　the　highest　accuracy　among　the　three　indexes;　(2)　according　to　the　VANUI　power　estimation　model,　the　average　annual　AHF　of　Fujian　Province　in　2018　is　0.88　W/m2,　of　which　Xiamen　has　the　highest　average　annual　AHF　of　10.98　W/m2,　followed　by　Quanzhou,　Putian,　Fuzhou,　and　Zhangzhou,　with　the　annual　average　of　0.98—1.95　W/m2,　whereas　the　figures　of　Ningde,　Longyan,　Sanming,　and　Nanping　are　relatively　low,　ranging　from　0.38—0.46　W/m2;　(3)　Luojia　1-01　NTL　data　can　reveal　the　AHF　differentiation　details　at　a　city　scale.　The　AHF　values　of　different　land　properties　and　functions　show　the　following　order:　urban　commercial　area　＞　large　municipal　public　facility　area　＞　urban　main　road　＞　urban　residential　area　＞　suburban　residential　area.　Studies　have　shown　that　the　AHF　estimation　model　developed　by　Luojia　1-01　NTL　data　can　achieve　high　accuracy　of　the　city-scale　estimation　of　AHF.　©　2022　National　Remote　Sensing　Bulletin.　All　rights　reserved.