With　the　rapid　process　of　urbanization,　anthropogenic　heat　generated　by　human　activities　has　become　an　important　factor　that　drives　the　changes　in　urban　climate　and　regional　environmental　quality.　The　nighttime　light　(NTL)　data　can　aptly　reflect　the　spatial　distribution　of　social-economic　activities　and　energy　consumption,　and　quantitatively　estimate　the　anthropogenic　heat　flux　(AHF)　distribution.　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　Luojia　1-01　satellite　launched　in　June　2018　shows　a　promise　to　solve　this　problem.　In　this　paper,　the　gridded　AHF　spatial　estimation　is　achieved　with　a　resolution　of　130　m　using　Luojia　1-01　NTL　data　based　on　three　indexes,　NTLnor　(Normalized　Nighttime　Light　Data),　HSI　(Human　Settlement　Index),　and　VANUI　(Vegetation　Adjusted　NTL　Urban　Index).　We　chose　Jiangsu,　a　fast-developing　province　in　China,　as　an　example　to　determine　the　best　AHF　estimation　model　among　the　three　indexes.　The　AHF　of　96　county-level　cities　of　the　province　was　first　calculated　using　energy-consumption　statistics　data　and　then　correlated　with　the　corresponding　data　of　three　indexes.　The　results　show　that　based　on　a　5-fold　cross-validation　approach,　the　VANUI　power　estimation　model　achieves　the　highest　R-2　of　0.8444　along　with　the　smallest　RMSE　of　4.8277　W　center　dot　m(-2)　and　therefore　has　the　highest　accuracy　among　the　three　indexes.　According　to　the　VANUI　power　estimation　model,　the　annual　mean　AHF　of　Jiangsu　in　2018　was　2.91　W　center　dot　m(-2).　Of　the　96　cities,　Suzhou　has　the　highest　annual　mean　AHF　of　7.41　W　center　dot　m(-2),　followed　by　Wuxi,　Nanjing,　Changzhou　and　Zhenjiang,　with　the　annual　mean　of　3.80-5.97　W　center　dot　m(-2),　while　the　figures　of　Suqian,　Yancheng,　Lianyungang,　and　Huaian,　the　cities　in　northern　Jiangsu,　are　relatively　low,　ranging　from　1.41　to　1.59　W　center　dot　m(-2).　This　study　has　shown　that　the　AHF　estimation　model　developed　by　Luojia　1-01　NTL　data　can　achieve　higher　accuracy　at　city-scale　and　discriminate　the　spatial　detail　of　AHF　effectively.