The　red-edge　band　is　closely　related　to　biochemical　parameters　that　characterize　the　growth　condition　of　green　plants　and　is　an　important　factor　in　monitoring　vegetation　health.　Therefore,　red-edge　indices　based　on　the　red-edge　band　have　been　developed　to　measure　vegetation　health.　However,　due　to　the　limited　availability　of　satellites　with　a　red-edge　band,　most　existing　red-edge　indices　were　not　developed　based　on　satellite　data.　Fortunately,　the　launch　of　the　GaoFen-6　(GF-6)　satellite　provides　favorable　conditions　for　monitoring　vegetation　health　using　satellite　imagery,　as　it　has　two　red-edge　bands　with　a　spatial　resolution　of　16　m.　To　investigate　the　effectiveness　of　the　red-edge　bands　on　the　GF-6　satellite　in　monitoring　forest　health,　this　study　selected　six　red-edge　indices　and　conducted　tests　in　Zhangjiajie　region　in　Hunan　Province,　China　and　Hetian　Basin　in　Fujian　Province,　China.　The　selected　indices　are　the　normalized　difference　red-edge　index　1　(NDRE1),　the　modified　chlorophyll　absorption　ratio　index　2,　the　red-edge　chlorophyll　(CIred-edge),　the　inverted　red-edge　chlorophyll　index,　the　red-edge　position,　and　the　Missouri　emergency　resource　information　system　terrestrial　chlorophyll　index.　The　results　showed　that　when　applied　to　NDRE1　and　CIred-edge,　the　red-edge　bands　of　GF-6　can　effectively　distinguish　forest　health　conditions,　with　a　discrimination　accuracy　of　92.3%　and　92.5%,　respectively.　However,　the　performance　of　the　GF-6　red-edge　bands　with　the　other　four　indices　yielded　accuracy　generally　lower　than　70%.　Overall,　the　two　red-edge　bands　added　to　the　GF-6　satellite　contribute　to　discerning　forest　health　conditions,　with　NDRE1　and　CIred-edge　being　the　preferred　red-edge　indices.