The　contribution　from　land　use/cover　change　(LUCC)　toward　temperature　in　recent　decades　is　of　great　concern　across　the　globe.　Although　there　have　been　many　studies,　most　of　them　focus　on　the　discussion　of　average　temperature　and　lack　a　discussion　of　extreme　temperatures.　In　this　study,　we　first　investigated　the　spatio-temporal　changes　in　extreme　temperatures　in　the　Yangtze　River　Delta　during　1980-2020　using　the　ensemble　empirical　mode　decomposition　(EEMD)　method.　Then,　we　explored　the　impact　of　LUCC　on　extreme　temperatures　using　the　observation　minus　reanalysis　(OMR)　method.　Finally,　the　relationship　between　the　normalized　difference　vegetation　index　(NDVI)　and　extreme　tempera-tures　was　analyzed　using　the　correlation　analysis　method.　We　found　that:　(1)　extreme　temperatures　have　a　nonlinear　variation　characteristics　on　different　time　scales.　Extremely　high　temperatures　(EHT)　clearly　exhibited　a　monthly　time　scale　(quasi-3-month),　an　interannual　time　scale　(quasi-1-year,　quasi-2-year,　quasi-3-year　and　quasi-5-year),　and　an　in-terdecadal　time　scale　(quasi-10-year　and　quasi-35-year).　Extremely　low　temperatures　(ELT)　also　clearly　exhibited　a　monthly　time　scale　(quasi-3-month),　an　interannual　scale　(quasi-1-year,　quasi-2-year,　quasi-3-year　and　quasi-6-year),　and　an　interdecadal　scale　(quasi-10-year　and　quasi-20-year).　(2)　EHT　showed　an　east-middle-west　staggered　phase　and　ELT　showed　a　southeast-northwest　anti-phase　characteristic　in　spatial　distribution.　(3)　The　contribution　rates　of　LUCC　on　EHT　and　ELT　are　53.6%　and　92.4%,　respectively,　which　are　higher　than　for　the　average　temperature　(40%).　(4)　The　monthly　time　scale　response　of　the　NDVI　to　extreme　temperatures　is　more　regionally　concentrated　and　significant　than　that　on　the　interannual　time　scale　in　spatial　distribution.　This　paper　makes　up　for　the　insufficiency　of　the　impact　of　land　use/cover　changes　on　extreme　temperature　changes　at　multiple　time　scales　and　enriches　our　understanding　of　climate　change.