Urban　ecological　landscape　has　sensory　functions,　which　describe　the　visual　effect　of　green　plants　for　human　beings.　Green　view　index　is　considered　as　a　relatively　good　indicator　for　measuring　the　visibility　of　urban　green　space,　which　can　reflect　different　levels　of　urban　vegetation　space　directly.　Green　view　index　is　usually　calculated　using　static　images　or　street　view　data.　However,　green　view　index　is　a　variable　quantity　since　the　variant　of　view　point　location　results　with　very　different　visual　effects　and　the　phenological　change　of　plants.　What　is　more,　plants,　as　organism　with　life　characteristics,　are　the　most　important　elements　in　the　urban　green　space　landscape,　which　can　change　their　morphology　with　time　factors　constantly　and　affect　the　amount　of　visible　green　space.　In　the　paper,　a　green　view　index　calculation　method　was　proposed　based　on　the　three-dimensional　simulation　landscape　of　garden　trees　driven　by　spatial　information　data　of　geographic　entities　and　tree　architecture　and　growth　model.　This　method　comprises　three　steps.　Firstly,　using　virtual　geographical　environment,　virtual　plants,　and　other　technologies,　a　three-dimensional　urban　vegetation　landscape　was　generated　according　to　hard　landscape　data　(e.g.　roads,　building)　and　tree　models.　Secondly,　based　on　visual　mechanisms　of　seeing,　virtual　cameras　were　constructed　to　set　observation　points　and　generate　the　landscape　visual　images.　Thirdly,　the　visibility　analysis　was　conducted　to　identify　vegetation　information　visible　from　each　observation　point　at　the　pixel　level,　which　can　compute　the　value　of　green　view　index.　A　three-dimensional　tree　landscape　simulation　and　green　view　index　estimation　prototype　was　developed.　Taking　urban　road　greenery　scenes　(e.g.　Jinshan　avenue　in　Fuzhou)　as　an　example,　the　green　view　index　was　estimated　and　analyzed.　The　results　are　closed　to　those　derived　from　street　view　images.　Therefore,　it　can　effectively　reflect　the　visual　feeling　of　vehicle　passengers.　It　is　useful　for　quantitatively　evaluating　the　visual　effects　of　urban　forest　states　of　past,　present,　or　future　at　different　growth　stages.　It　is　also　suitable　to　simulate　and　calculate　green　view　index　dynamically　by　setting　view　points　everywhere　and　in　arbitrary　directions.　The　method　can　be　used　as　a　potential　tool　to　assess　the　simulation　results　of　urban　green　space　design　schemes　before　they　were　carried　out.　It　is　also　helpful　for　the　rational　planning　of　urban　green　space.　It　can　provide　references　for　the　science　and　rationality　of　the　future　landscape　of　different　engineering　design　schemes,　thereby　promoting　the　sustainable　development　of　the　city.　©　2021,　Science　Press.　All　right　reserved.