Nighttime　Light　(NTL)　is　highly　concentrated　in　China＇s　coastal　zone,　leading　to　negative　health　impacts　on　both　humans　and　wildlife.　Particularly,　in　recent　years,　the　widespread　adoption　of　broad-spectrum　Light-Emitting　Diode　(LED)　light,　a　low-carbon　technology　providing　substantial　increases　in　luminosity,　has　led　to　certain　ecological　consequences.　Thus,　information　regarding　spatial　distribution　and　composition　of　different　NTL　types　is　essential　for　formulating　sustainable　strategies　that　balance　nighttime　public　security,　energy　consumption,　and　ecosystem　conservation.　However,　the　availability　of　such　information　remains　limited.　To　address　this　challenge　and　meet　the　demand,　we　developed　two　new　light　indices,　namely　the　Ratio　Red　Light　Index　(RRLI)　and　Ratio　Blue　Light　Index　(RBLI),　based　on　SDGSAT-1　Glimmer　Imager　(GLI)　multispectral　NTL　data.　We　then　proposed　a　threshold　method　and　applied　it　to　the　entire　coastal　zone　of　China　to　identify　White　LED　(WLED),　Red　LED　(RLED),　and　Other　lights　(Other).　Results　showed　the　following.　(1)　In　the　coastal　zone　of　China,　the　total　lighting　area　was　20,517　km2,　including　20,257　km2　of　terrestrial　lights　and　260　km2　of　offshore　lights;　(2)　WLED　light　covered　67%　(13,727　km2)　of　all　lighting　areas,　while　RLED　lights　accounted　for　only　1%　(220　km2);　(3)　Guangdong　had　the　largest　lighting　area　(5221　km2),　with　the　proportion　of　WLEDs　being　the　highest　among　all　coastal　provinces　(almost　90%);　(4)　The　proportions　of　lighting　areas　were　relatively　low　in　Guangxi,　Liaoning,　and　Hebei.　This　study　represents　the　first　attempt　to　identify　NTL　types　over　large　regions　at　a　finer　spatial　resolution.　The　approach　proposed,　including　the　light　indices　of　RRLI　and　RBLI,　as　well　as　the　defined　thresholds,　is　universal　and　robust　for　use　in　NTL　type　classification.　The　developed　lighting　type　map,　containing　comprehensive　information　on　the　spatial　distribution　and　composition　of　NTL,　could　facilitate　the　sustainable　management　of　China＇s　coastal　zones.　©　2024　Elsevier　Inc.